- About this Journal ·
- Abstracting and Indexing ·
- Aims and Scope ·
- Annual Issues ·
- Article Processing Charges ·
- Articles in Press ·
- Author Guidelines ·
- Bibliographic Information ·
- Citations to this Journal ·
- Contact Information ·
- Editorial Board ·
- Editorial Workflow ·
- Free eTOC Alerts ·
- Publication Ethics ·
- Reviewers Acknowledgment ·
- Submit a Manuscript ·
- Subscription Information ·
- Table of Contents
The Scientific World Journal
Volume 2012 (2012), Article ID 412580, 11 pages
SPECT and PET Imaging of Meningiomas
1Nuclear Medicine Department, University Hospital of Larissa, Mezourlo, 41110 Larissa, Greece
2Nuclear Medicine Department, “Alexandra” University Hospital, Vas. Sofias 80, 11528 Athens, Greece
3Nuclear Medicine Department, NIMTS Hospital, Monis Petraki 10-12, 11521 Athens, Greece
Received 9 January 2012; Accepted 26 January 2012
Academic Editor: Tullio Florio
Copyright © 2012 Varvara Valotassiou et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Meningiomas arise from the meningothelial cells of the arachnoid membranes. They are the most common primary intracranial neoplasms and represent about 20% of all intracranial tumors. They are usually diagnosed after the third decade of life and they are more frequent in women than in men. According to the World Health Organization (WHO) criteria, meningiomas can be classified into grade I meningiomas, which are benign, grade II (atypical) and grade III (anaplastic) meningiomas, which have a much more aggressive clinical behaviour. Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) are routinely used in the diagnostic workup of patients with meningiomas. Molecular Nuclear Medicine Imaging with Single Photon Emission Computed Tomography (SPECT) and Positron Emission Tomography (PET) could provide complementary information to CT and MRI. Various SPECT and PET tracers may provide information about cellular processes and biological characteristics of meningiomas. Therefore, SPECT and PET imaging could be used for the preoperative noninvasive diagnosis and differential diagnosis of meningiomas, prediction of tumor grade and tumor recurrence, response to treatment, target volume delineation for radiation therapy planning, and distinction between residual or recurrent tumour from scar tissue.
Meningiomas arise from the meningothelial cells of the arachnoid membranes, which are attached to the inner layer of the dura mater . They are the most frequently reported primary intracranial neoplasms representing about 20% of all intracranial tumors . They are usually diagnosed after the third decade of life and they are more frequent in women than in men accounting for 38% of all intracranial tumors in women and 20% in men .
Meningiomas can be differentiated histologically into 15 subtypes  and classified into three grades (I–III) according to the World Health Organization (WHO) criteria, which have been updated in 2007 [4, 5]: grade I meningiomas which are benign, exhibit slow growth, and represent 90%; grade II (atypical) and grade III (anaplastic) meningiomas, representing about 6–8% and 2–4%, respectively, which have a much more aggressive clinical behaviour and they are characterized by rapid progression, recurrence, metastases, and poor outcome . More specifically, atypical meningiomas have high mitotic index and presence of at least three of the following four characteristics: sheeting architecture, hypercellularity, macronuclei, and small cell formation. Anaplastic meningiomas are characterized by excessive mitotic activity and focal or diffuse loss of meningothelial differentiation at the light microscopic level resulting in sarcoma, carcinoma or melanoma-like appearance .
Brain invasion is a controversial criterion. Although it is not formally a pathologic criterion for WHO grade II meningiomas; nevertheless, the diagnosis should mention it since the brain invasion corresponds prognostically to WHO grade II and its presence implies a greater likelihood of recurrence .
Surgical resection of meningiomas is the prevalent treatment. Moreover, radiation therapy has now attained a standard role in the primary and adjuvant treatment settings and is indeed the only commonly accepted form of adjuvant therapy after surgical resection, although meningiomas have, errantly, been regarded as radio resistant .
The risk of recurrence in operated meningiomas is correlated with the histological grade, the degree of surgical resection, the biological aggressiveness of the tumor, and large tumor size . Although in benign meningiomas surgical resection is associated with a high cure rate, supposing that the whole tumor is excised; however, there is always considerable risk of recurrence (ranged between 9% and 32%) even after apparently complete resection with excision of the surrounding dura and involved bone [8, 9]. On the contrary, recurrence is very common in high-grade lesions, even after total resection . Biological aggressiveness of meningiomas depends on various cellular characteristics such as the proliferation activity, which is determined by the expression of the nuclear antigen Ki-67 .
In the diagnostic workup of patients with meningiomas, a combination of contrast-enhanced imaging techniques such as Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) is routinely used in defining the location and extent of tumour, as well as for long-term followup. Although these imaging modalities could provide a presumptive diagnosis, the histological diagnosis can only be made postoperatively. Furthermore, this combination has also limitations, especially at the skull base and in the case of bony involvement, while in the case of suspected residual or recurrent tumour, it can be very difficult to distinguish viable tumour from scar tissue by CT or MRI .
Molecular Nuclear Medicine imaging techniques—Single Photon Emission Computed Tomography (SPECT) and Positron Emission Tomography (PET)—although not routinely used yet, could provide complementary information to CT and MRI, to establish a noninvasive histological diagnosis prior to operation, to distinguish between residual or recurrent viable tumour and scar tissue and to estimate treatment response in the postsurgical and postradiation evaluation. In this purpose, various SPECT and PET radiopharmaceuticals have been used which provide information about various cellular processes and biological characteristics of meningiomas (Table 1).
2. SPECT Radiopharmaceuticals
Thallium-201 (201Tl) is a potassium analogue possessing an affinity for the sodium- and potassium-activated adenosine triphosphatase (Na+-K+ ATPase) pump and is distributed in potassium-rich organs, such as the heart, kidney, gastrointestinal tract, and the thyroid gland, but exhibits little uptake in the normal brain .
201Tl is known to accumulate in a variety of tumors, and it was one of the first radiotracers that have been used in the area of oncology. 201Tl uptake in brain tumors depends on regional blood flow, Blood Brain Barrier (BBB) permeability, cellular activity, and cell number .
201Tl uptake in meningiomas was thought mainly to be related to lesional vascularity. Nevertheless, its retention rates differed according to histological types indicating that vascularity itself would not correlate with histological type or malignancy grade, and factors other than lesional vascularity were involved. Mitotic or proliferation rates correlated to cellular Na+-K+ ATPase activity would be a factor regulating 201Tl uptake. It has been reported that long-lasting retention of thallium in serial brain SPECT studies could differentiate preoperatively intracranial meningiomas with different biological behaviour, predict malignant potential of meningiomas, and provide information of meningioma aggressiveness [15–17]. In a recent study by Takeda et al., a significant correlation was found between the 201Tl uptake index in the delayed image and MIB 1 labeling index in postoperative tumor specimens. Moreover, meningiomas with strongly positive vascular endothelial growth factor (VEGF) exhibited a significantly higher 201Tl uptake index compared to VEGF weakly positive meningiomas in both the early image and the delayed image .
2.2. 99mTechnetium-Labelled Compounds
99mTechnetium-(99mTc-) labelled compounds have also been used in the study of meningiomas. These were proved advantageous over 201Tl, due to 140 keV γ-ray energy, high photon flux, higher spatial resolution, less radiation burden to the patient, and excellent availability.
99mTc-methoxyisobutylisonitrile (MIBI) is a common radioligand for the evaluation of myocardial perfusion. SPECT with 99mTc-MIBI has been proposed as a complementary diagnostic tool for the evaluation of various neoplasms including brain tumours . The cellular uptake of positively charged MIBI ions is driven by the negative electric potential generated on the inner surface of the cellular membrane and particularly on the inner mitochondrial membrane . 99mTc-MIBI uptake is related to tissue perfusion and normal cell membrane and mitochondrial activity. It has been described by Petrovic et al.  that meningiomas exhibit high perfusion index but low retention index. This phenomenon was attributed to a relatively weak fixation of the radiopharmaceutical in benign meningioma cells. The high metabolic rate of malignant cells generates very high negative electrical potential along the inner surface of their mitochondrial membranes that strongly attracts MIBI cations. As the metabolic demands of meningioma cells are much lower than those of malignant tumours, the fraction of MIBI ions stranded in the mitochondria is smaller than in malignant cells, and the larger fraction is available to the washout mechanism. Hyperperfusion of meningiomas can also facilitate the washout. Thus, it seems likely that both the high uptake and the quick wash-out of MIBI observed in meningioma are facilitated by the abundant blood supply and the lack of BBB. Bagni et al.  also noticed that 99mTc-MIBI uptake in meningiomas was proportional to the tumour vascularity. It has also been shown that high-grade brain tumors have increased 99mTc-MIBI uptake compared with that of low-grade brain tumors. 99mTc-MIBI uptake was correlated with the percentage of the S-phase fraction of the tumor cell (which is a reflection of the proliferation potential of tumors) and the DNA aneuploidy level (which is more common in malignant tumors). The inactive, nonviable, apoptotic, or necrotic tumour cells do not take up the radioligand and that is why it is sometimes referred to as the viability marker .
In malignant tumors the uptake of 99mTc-MIBI has also been associated with the presence of P-glycoprotein (Pgp) in the cell membrane which is related to the multidrug resistant gene . Kunishio et al. evaluated whether 99mTc-MIBI SPECT characteristics of intracranial meningioma were correlated with the histological malignancy, proliferative potential, and Pgp expression, encoded by the multidrug resistance gene-1 (MDR-1) messenger ribonucleic acid (mRNA). They found that 99mTc-MIBI may not be useful for determining proliferative potential and histological malignancy, but could predict anticancer drug resistance related to the expression of MDR-1 mRNA and its gene product Pgp in patients with intracranial meningiomas .
99mTechnetium—tetrofosmin (99mTc-TF)—a lipophilic cationic diphosphine, which is routinely used for myocardial perfusion imaging, displays tumor-seeking properties, too. Its uptake mechanism is similar to 99mTc-MIBI, depending mainly on regional blood flow and cell membrane integrity. 99mTc-TF enters cells mainly via passive transport driven by the negative potential of the intact cell membrane and localizes mostly within the cytosol and only a fraction enters the mitochondria . In the healthy brain, uptake of 99mTc-TF is seen in the choroid plexuses, pituitary gland, and scalp, but not in the normal brain parenchyma, since it does not cross the intact BBB .
In a small series of studies, 99mTc-TF uptake in meningiomas was correlated with cellular proliferative activity (assessed either immunohistologically by the Ki-67 index or by flow cytometry) and tumor grading (Figure 1) [27, 28]. A significant correlation of 99mTc-TF uptake with proliferation index and tumor grade was found. Anaplastic meningiomas tended to exhibit a higher radiotracer uptake as compared to typical ones without any overlapping of 99mTc-TF uptake between them. Likewise, meningiomas with higher proliferation index tended to exhibit increased 99mTc-TF uptake. Furthermore, it was also found a significant correlation of 99mTc-TF uptake with risk of recurrence at 1 year postoperatively. Thus the authors stated that 99mTc-TF brain SPECT may hold a role in distinguishing typical from anaplastic meningiomas preoperatively, a discrimination that is difficult by CT or classic MRI, and that this finding would also be of great importance in patients in which surgery is not an option, due to tumor localization, or when there is a medical disorder that could increase the potential morbidity of surgical excision. Nevertheless, a limitation of these studies was the absence of grade II meningiomas in the study population.
2.3. Somatostatin Receptor Scintigraphy
Somatostatin—a cyclic tetradecapeptide neuropeptide—is the most widely distributed of the hypothalamic releasing hormones in the central nervous system and in the periphery, including the pancreas, gut, and pituitary . In the brain, somatostatin is believed to act as a neurotransmitter and neuromodulator . The effects of somatostatin are mediated by transmembrane domain G-protein coupled receptors. In vivo and in vitro studies have shown that somatostatin receptors (SSTRs) are expressed on the cell membrane of various central nervous and peripheral tissues in high density to a varying extent, including tumours of neuroendocrine origin and intracranial tumours . Molecular biologic research revealed that various types of SSTRs exist. To date, 5 different SSTRs subtypes are known, SSTR1–SSTR5, with subtype specificity for distinct histology [32, 33]. Of these, subtype 2, SSTR2, is most often expressed on the surface [34–36]. Two isoforms of SSTR2 have been isolated, SSTR2A and SSTR2B, which differ in size and the sequence of their intracellular COOH-terminal domain .
Clinical nuclear medicine has taken advantage of this characteristic, making the in vivo detection of SSTRs possible. Somatostatin receptor scintigraphy (SSRS) became an invaluable tool used extensively in routine management of patients with meningiomas.
As endogenous somatostatin has a very short biologic half-life (~2 min), it is rapidly cleared from the blood; thus, somatostatin itself cannot be used as an imaging agent in nuclear medicine. To overcome this drawback, a long-acting analog of somatostatin consisting of 8 amino acids was developed. This octapeptide exhibits a biologic half-life on the order of several hours and can be linked through diethylenetriaminepentaacetic acid to indium-111 (111In), forming the well-known radiotracer [111In]octreotide .
Although all receptors bind natural somatostatin with high affinity; nevertheless, they differ in their binding characteristics to long-acting somatostatin analogues. Whereas SSTR2, SSTR3, and SSTR5 exhibit high affinity for octreotide , the frequent overexpression of the SSTR2A receptor may explain the high tracer uptake observed in meningioma patients during SSRS .
SSRS does not reveal increased tracer uptake by the normal leptomeninx, although the latter contains SSTRs. Since octreotide is a polar, water-soluble peptide that does not penetrate the intact BBB, SSRS can only demonstrate somatostatin receptor positive intracranial lesions if the BBB is disrupted. Only meningiomas—located outside the BBB—usually demonstrate high tracer uptake, while intracranial tumours may be out of reach due to the BBB and therefore may not be detectable by SSRS [43, 44].
Meningiomas visualization with 111In-octreotide depends on the expression of SSTR2 on meningioma cells—as shown by the reverse transcriptase polymerase chain reaction—, as well as on the tumor volume .
Although many studies have reported detection of all meningioma lesions with a sensitivity almost 100% [47–50] and varied 111In-octreotide uptake (Figure 2); however, a major drawback of 111In-octreotide SPECT is its difficulty in detecting meningiomas with a diameter <2.7 cm or a volume <10 mL . A significant correlation between meningioma volume and grade of tracer uptake was found, with higher uptake grade in larger tumours. Howbeit, depending on location and receptor status, even small tumours with volumes of 5 mL demonstrated intense tracer uptake . Despite the high sensitivity of 111In-octreotide scintigraphy for the diagnosis of meningiomas, specificity may be low depending on the presence of lesions which disrupt the BBB, such as cerebral metastases . Nevertheless, the method provides high negative predictive value (100%).
Due to the high SSTRs density, meningiomas of the skull base or the orbit may be differentiated from somatostatin receptor-negative tumours using 111In-octreotide scintigraphy. Neurinomas and neurofibromas do not express somatostatin receptors, thus they do not demonstrate tracer uptake, making 111In-octreotide scintigraphy a useful technique in the differential diagnosis from multiple meningiomas [52, 53].
SSRS seems to be an additional valuable tool with high sensitivity and specificity for optimizing the diagnosis of optic nerve sheath meningiomas from other orbital tumors (such as vascular lesions, non-hodgkin lymphomas, optic nerve gliomas, idiopathic orbital inflammation), without the need for more invasive procedures. It has been reported that the 111In-octreotide uptake ratios of meningiomas were significantly higher than those of other subgroups of orbital tumors, except for adenocarcinomas .
SSRS may also aid in the differentiation between postoperative scar and meningioma recurrence. The risk of local recurrence is wellknown, especially for meningioma located near the skull base where meninges are attached very closely to the bones, thus rendering total resection of meningioma difficult. In the first 6 months after surgery, in a reasonable number of patients, MRI may fail to differentiate between tumor remnants or recurrent meningioma and nonspecific hyperperfusion. The high tumour 111In-octreotide uptake seen in SSRS in most meningiomas may be of clinical relevance for exact tumour delineation in cases of tumour recurrence [55–58].
It has been reported that the correlation between SSTR2A immunoexpression and the histological grade, according to the WHO 2007 classification, as well as microvessel density of the tumors, has demonstrated that atypical and anaplastic meningiomas characterized by a higher microvessel density. This finding would provide the basis for the use of somatostatin analogue-based therapies, which have an antiangiogenic effect, in the treatment of these tumours . Nevertheless, in a small number of pathologically proven meningiomas, Nathoo et al. reported that there was no difference in intensity of octreotide uptake related to the histologic subtype of meningiomas .
The limited imaging properties using a medium-energy isotope, such as 111In, explain the reduced sensitivity in detecting meningiomas with a volume of less than 10 mL so that SSTRs imaging with higher resolution is desirable. A new 99mTc-labeled somatostatin analog, 99mTc-depreotide, was developed and approved in the United States and Europe for diagnostic use in lung nodules .
The binding profile of this new tracer shows high affinity to subtypes 2, 3, and 5 of the SSTRs, with dissociation constants in the order of 1.5 to 2.5 nmol/L . Therefore, it is similar to 111In-octreotide, which binds to SSTRs subtypes 2 and 5 with high affinity (, 0.1 to 5 nmol/L), to subtype 3 with moderate affinity (, 10 to 100 nmol/L), but does not bind to SSTR subtypes 1 and 4 . Compared with 111In-octreotide, the use of 99mTc-depreotide has the advantage of a lower radiation dose due to the faster decay and lower photon energy of the isotope, resulting in an effective dose estimate of 0.023 mSv/MBq  instead of 0.08 mSv/MBq for 111In . Furthermore, the cost of the 99mTc-labeled radiopharmaceutical is less and there are fewer requirements for the imaging equipment and the radiation protection facilities compared with those required when the octreotide analog labeled with the medium-energy isotope 111In is used. Labeling of the ligand is easy and generator produced 99mTc ensures its continuous availability.
99mTc-depreotide SPECT has been used for the evaluation of intraorbital and extracranial recurrent meningioma in comparison with 111In-octreotide and revealed a smaller extracranial site of recurrence, not detected on 111In-octreotide scintigraphy, as a result of the better resolution that can be achieved with that isotope .
3. PET Radiopharmaceuticals
18F-2-fluoro-2-deoxy-D-glucose (18F-FDG) is used for the study of brain glucose metabolism. It is transported into the cells by facilitated diffusion, then phosphorylated to FDG-6-PO4 and trapped intracellularly where it can be measured. 18F-FDG was one of the first PET tracers used in the study of meningiomas although with conflicting findings in the literature. Some authors have described high 18F-FDG uptake in meningiomas, similar to normal gray matter, whereas others reported hypometabolic features resulting in low tumor-to-gray matter-ratio [66–68]. It has been proposed that these differences may be attributed to differences in glucose consumption in tumors with different biological features (Figure 3). 18F-FDG uptake was proposed as an index of tumor aggressiveness and it has been correlated with the probability of recurrence and patients’ survival [66, 69, 70]. It has been reported that the highest glucose utilization rate among intracranial meningiomas was seen in atypical, papillary and recurrent meningiomas [44, 66] or in grade 2 and 3 meningiomas (according to previous WHO classification) as compared with grade 1 meningiomas in tumors of high cellularity . Especially for WHO Grade 1 meningioma 18F-FDG PET seems not useful for tumor delineation, which might be further troubled by peritumoral edema [66, 70, 71]. Cremerius et al. reported that recurrent meningioma exhibited more intense FDG uptake than grade 1 meningioma as compared with gray matter . In a recent study, Liu et al. found 18F-FDG PET neither useful for exact tumor delineation nor for monitoring response to radiosurgery . However, they described that 18F-FDG may be valuable for differentiating benign from malignant meningioma. In contrast, Lee and coworkers stated that the sensitivity of FDG PET to detect high-grade meningioma was low, but 18F-FDG uptake correlated significantly with the proliferative activity of meningiomas. The authors suggested that 18F-FDG uptake could be one of the significant prognostic factors and that its role would rather be to predict recurrence and survival .
Nevertheless, the major drawback of 18F-FDG is its high uptake in normal gray matter. Thus, in slow growing tumors such as meningiomas—which may exhibit a moderately increased glucose metabolism—18F-FDG PET may not reliably detect them. Furthermore, 18F-FDG is not tumor specific, since high uptake has also been observed in infection or inflammation . Therefore, other tracers have been tested.
4. PET Tracers Beyond FDG
4.1. Amino Acids
The rationale to use amino acids in proliferating cells is based on an upregulation of amino acid transport resulting in a high tumor to normal tissue ratio—even in slow growing tumors [74, 75]. Several labelled amino acids have been used in the study of meningiomas such as [11C]-methionine (11C-MET) and [2- 18F]-fluoro-L-tyrosine (18F-TYR).
11C-MET is a marker of amino acid transport as well as protein synthesis and shows high uptake in meningioma (tumour to cerebellum ratios 2.62–5.37, mean 3.63) [67, 76–78]. As there is a comparatively low uptake in normal white and gray matter, it allows better delineation of meningioma from normal structures than 18FDG . Astner et al. reported its use in planning stereotactic radiotherapy of skull base WHO I and WHO II meningiomas . They found that the addition of 11C-MET PET in the delineation of Gross Tumor Volume (GTV) resulted in an enlargement of GTV of since the method detected small tumor portions that were not identified by CT or MRI. Thus they concluded that the integration of the method in radiotherapy treatment planning could be beneficial for the management of patients. It has been reported that 11C-MET uptake is not correlated with aggressiveness and WHO grading of meningiomas [79, 81], although Iuchi et al. found that 11C-MET uptake significantly correlated with proliferative tumor activity (Ki-67 index) .
18F-TYR is another marker of L-amino acid transport protein synthesis and accumulates significantly in meningioma (tumor-to-cortex activity ratio of about 2.5). The uptake in normal gray and white matter is low, but high in oropharyngeal mucosa and salivary glands. 18F-TYR was used for the discrimination of meningioma from healthy tissue, especially in difficult locations such as the skull base, and the delineation of tumor compared to that seen on MRI . It was found that 18F-TYR PET could clearly identify meningiomas of the base of the skull even after irradiation, while the metabolic lesions were not exactly matched with the MRI findings. The clinical significance of this finding should be clarified in further studies in order to define the role of 18F-TYR in treatment planning.
11C-Choline is a marker of phospholipid synthesis, which is increased in malignant tumors. It has been used for imaging of various tumors including prostate cancer and brain tumors [84, 85]. The uptake of 11C-choline in the normal brain is negligible, allowing good delineation of brain tumor contours and diagnosis of tumor recurrence . Meningiomas have exhibited, in in vitro and imaging studies, altered choline metabolism . Preliminary results of the use of 11C-choline PET in meningiomas demonstrated excellent visualization of all lesions [87, 88]. Giovacchini et al.  showed in a preliminary clinical study including 7 meningioma patients (WHO , WHO ) that 11C-choline may better image meningioma compared to FDG. Furthermore, it was found that 11C-choline uptake was higher in grade II than in grade I meningiomas, indicating that 11C-choline uptake may reflect the proliferation rate of the tumors and it could be used for meningioma grading. However, the potential of this tracer remains unclear and further studies are needed to confirm these findings as well as to assess the clinical use of the tracer in the management of meningioma.
1-11C-Acetate has been used for the detection of several tumors such as prostate and lung cancer, hepatocellular carcinoma and astrocytomas [89–92]. The possible mechanisms of 1-11C-acetate uptake by tumor cells include impaired tricarboxylic acid cycle activity or anabolic pathways of fatty acid and sterol synthesis [93, 94]. In the brain, acetate is preferentially metabolized by astrocytes, and labeled acetate has been used to assess glial metabolism and glial-neuronal interactions . Metabolic data derived from a small set of tumors revealed that glioblastoma and meningioma clearly can convert 14C-acetate into acidic and amino acid metabolites, presumably through the oxidative pathway of the tricarboxylic acid cycle. In a study by Liu et al., it was found that 1-11C-acetate was useful for detecting and evaluating the extent of meningioma and potentially useful for monitoring the response to radiosurgery. The authors suggested that accurate tumor delineation with 1-11C-acetate PET is of potential value for guiding the stereotactic biopsy and for optimizing treatment planning before radiosurgery. However, they found that 1-11C-acetate was not helpful for grading the tumor .
4.4. 13N-NH3 PET
There are 2 chemical forms of ammonia (NH3 and ) in the blood. The relative proportion of NH3 and in blood is determined by the pH. The majority of blood ammonia is in the form of at a normal pH of 7.3 to 7.4. Similar to Tl-201, (13)N-(13)NH(4)(+) is an analog of K(+) and could substitute K(+) in some cases because they have similar hydrated radius . It has been reported that cerebral astrocytomas exhibit a substantial uptake of 13N-NH3 and 13N-NH3 might be a promising tracer for separating radiation necrosis from astrocytoma recurrence [97, 98]. Recently, 13N-NH3 has been used in the study of meningiomas by Xiangsong et al. . These preliminary results indicate that 13N-NH3 allows better detection and evaluation of the extent of meningiomas in comparison with FDG, offering excellent imaging properties and a very high tumor-to-background ratio. The brain uptake of 13N-NH3 is limited due to its low lipid solubility which does not permit passage through the intact BBB. The location of meningiomas outside the BBB results in higher accumulation of the tracer in these tumors than in the normal brain cortex. Nevertheless, 13N-NH3 uptake was not useful for differentiating benign (Grade I) from atypical (Grade II) meningiomas.
The last decade, the somatostatin analog DOTA-D-Phe1-Tyr3-octreotide (DOTA-TOC) has been developed . 1,4,7,10-tetraazacyclododecane-N,N9,N0,N-tetraacetic acid (DOTA) is a macrocyclic chelator that ensures high in vivo stability for the corresponding radiometal chelates. Moreover, the replacement of Phe3 by Tyr in the octapeptide increases its hydrophilicity and thus the efficiency of its clearance by the kidney. DOTA-TOC has been labelled with the positron emitter 68Ga. This new radiotracer, 68Ga-DOTATOC, shows a high affinity (half-maximal inhibitory concentration [IC50] = 14 nmol/L) for human SSTR2  and exhibits several advantages over conventional 111In-octreotide . The coincidence detection of two photons generated by annihilation of the emitted positron by a modern PET scanner facilitates a geometric resolution in the order of 4–6 mm, and biodistribution can be quantified in (patho)physiologic terms. Because of the increased spatial resolution and the ability to quantify biodistribution, PET is desirable for SSTR imaging.
68Ga-DOTATOC PET showed a high meningioma/background ratio [102, 103]. Henze et al. [102, 103] reported high-contrast images of meningiomas measuring only 7-8 mm in diameter, which could be clearly separated both from surrounding brain and bone tissue. This capability is important since meningiomas may cause serious problems to the neurosurgeon because of their tendency to local osseous invasiveness. Especially at the skull base, where biopsy has a high risk of hemorrhage and the findings of CT and MRI are often unclear [9, 104], PET provides valuable additional information regarding the extent of meningiomas located beneath osseous structures. A similar difficulty arises with en plaque meningioma , where the surgeon has to limit the resection to a reasonable degree. Therefore, preoperative evaluation of meningioma with 68Ga-DOTATOC PET, or more ideally, fused PET/CT or PET/MRI imaging, would influence surgical strategy and increase the accuracy of surgical resection. However, one limitation is the parasellar region, because of the pituitary gland expressing SSTR2 (Figure 4) [106, 107]. 68Ga-DOTATOC also allows detection of additional lesions in patients with multiple meningiomas .
The ability of 68Ga-DOTATOC for adequate delineation of meningiomas has proven useful for radiation treatment planning of these tumors [106–109]. It has been reported that 68Ga-DOTATOC-PET/CT information may strongly complement anatomical data from MRI and CT and improve target volume definition especially in cases with complex meningioma such as skull base manifestations, osseous infiltration, and recurrent disease after surgery. Radiation targeting with fused 68Ga-DOTATOC PET, CT, and MRI resulted in significant alterations in target definition in 73% of patients .
68Ga-DOTATOC may be used for the evaluation of alternative therapeutic approaches in cases of nonoperable meningiomas. Pretherapeutic knowledge of the receptor status is essential for both, either the application of hormonal treatment or the use of DOTATOC labelled with β-emitting radionuclides, a field of nuclear medicine in which interest has been growing rapidly in the past few years [110, 111].
The contribution of SPECT and PET molecular imaging in the noninvasive diagnosis and differential diagnosis, response to treatment, and target delineation for radiation therapy of meningioma, is well described. SPECT and PET may also help in the detection of early metabolic changes, which precede anatomical changes revealed by CT and MRI, and identify metabolically active and aggressive tumor areas, which should be treated appropriately.
- D. C. Weber, K. O. Lovblad, and L. Rogers, “New pathology classification, imagery techniques and prospective trials for meningiomas: the future looks bright,” Current Opinion in Neurology, vol. 23, no. 6, pp. 563–570, 2010.
- C. Mawrin and A. Perry, “Pathological classification and molecular genetics of meningiomas,” Journal of Neuro-Oncology, vol. 99, no. 3, pp. 379–391, 2010.
- E. B. Claus, M. L. Bondy, J. M. Schildkraut, J. L. Wiemels, M. Wrensch, and P. M. Black, “Epidemiology of intracranial meningioma,” Neurosurgery, vol. 57, no. 6, pp. 1088–1095, 2005.
- D. N. Louis, H. Ohgaki, O. D. Wiestler et al., “The 2007 WHO classification of tumours of the central nervous system,” Acta Neuropathologica, vol. 114, no. 2, pp. 97–109, 2007.
- A. Perry, D. N. Louis, B. W. Scheithauer, H. Budka, and A. von Deimling, “Meningiomas,” in World Health Organization Classification of Tumours of the Central Nervous System, D. N. Louis, H. Ohgaki, O. D. Wiestler, and W. K. Cavenee, Eds., vol. 1, pp. 164–172, IARC Press, Lyon, France, 4th edition, 2007.
- E. Lusis and D. H. Gutmann, “Meningioma: an update,” Current Opinion in Neurology, vol. 17, no. 6, pp. 687–692, 2004.
- C. Marosi, M. Hassler, K. Roessler et al., “Meningioma,” Critical Reviews in Oncology/Hematology, vol. 67, no. 2, pp. 153–171, 2008.
- D. Simpson, “The recurrence of intracranial meningiomas after surgical treatment,” Journal of Neurology, Neurosurgery, and Psychiatry, vol. 20, no. 1, pp. 22–39, 1957.
- J. Jääskelainen, “Seemingly complete removal of histologically benign intracranial meningioma: late recurrence rate and factors predicting recurrence in 657 patients. A multivariate analysis,” Surgical Neurology, vol. 26, no. 5, pp. 461–469, 1986.
- D. Raghavan, M. L. Brecher, D. H. Johnson, N. J. Meropol, P. L. Moots, and P. G. Rose, Textbook of Uncommon Cancer, John Wiley & Sons, New York, NY, USA, 1999.
- F. Kayaselcuk, S. Zorludemir, N. Bal, B. Erdogan, S. Erdogan, and T. Erman, “The expression of survivin and Ki-67 in meningiomas: correlation with grade and clinical outcome,” Journal of Neuro-Oncology, vol. 67, no. 1-2, pp. 209–214, 2004.
- K. A. Jaeckle, “Neuroimaging for central nervous system tumors,” Seminars in Oncology, vol. 18, no. 2, pp. 150–157, 1991.
- H. L. Atkins, T. F. Budinger, and E. Lebowitz, “Thallium 201 for medical use. Part 3: human distribution and physical imaging properties,” Journal of Nuclear Medicine, vol. 18, no. 2, pp. 133–140, 1977.
- N. Tonami, “Thallium-201 SPECT in the evaluation of gliomas,” Journal of Nuclear Medicine, vol. 34, no. 12, pp. 2089–2090, 1993.
- S. Jinnouchi, H. Hoshi, T. Ohnishi et al., “Thallium-201 SPECT for predicting histological types of meningiomas,” Journal of Nuclear Medicine, vol. 34, no. 12, pp. 2091–2094, 1993.
- E. Tedeschi, A. Soricelli, A. Brunetti et al., “Different thallium-201 single-photon emission tomographic patterns in benign and aggressive meningiomas,” European Journal of Nuclear Medicine, vol. 23, no. 11, pp. 1478–1484, 1996.
- K. Kinuya, M. Ohashi, S. Itoh et al., “Thallium-201 brain SPECT to diagnose aggressiveness of meningiomas,” Annals of Nuclear Medicine, vol. 17, no. 6, pp. 463–467, 2003.
- T. Takeda, T. Nakano, K. Asano, N. Shimamura, and H. Ohkuma, “Usefulness of thallium-201 SPECT in the evaluation of tumor natures in intracranial meningiomas,” Neuroradiology, vol. 53, no. 11, pp. 867–873, 2011.
- B. Bagni, L. Pinna, R. Tamarozzi et al., “SPET imaging of intracranial tumours with 99Tcm-sestamibi,” Nuclear Medicine Communications, vol. 16, no. 4, pp. 258–264, 1995.
- J. L. Moretti, N. Hauet, M. Caglar, O. Rebillard, and Z. Burak, “To use MIBI or not to use MIBI? That is the question when assessing tumour cells,” European Journal of Nuclear Medicine and Molecular Imaging, vol. 32, no. 7, pp. 836–842, 2005.
- N. S. Petrovic, D. Grujicic, V. M. Artiko et al., “Investigation of blood perfusion and metabolic activity of brain tumours in adults by using 99mTc-methoxyisobutylisonitrile,” Nuclear Medicine Communications, vol. 31, no. 11, pp. 962–973, 2010.
- I. Ak, Z. Gulbas, F. Altinel, and E. Vardareli, “Tc-99m MIBI uptake and its relation to the proliferative potential of brain tumors,” Clinical Nuclear Medicine, vol. 28, no. 1, pp. 29–33, 2003.
- F. Cesani, R. Ernst, G. Storey, and J. Villanueva-Meyer, “Multicentric meningioma evaluation with Tc-99m MIBI SPECT, CT, and MRI,” Clinical Nuclear Medicine, vol. 20, no. 6, pp. 557–558, 1995.
- K. Kunishio, K. Morisaki, Y. Matsumoto, S. Nagao, and Y. Nishiyama, “Technetium-99m sestamibi single photon emission computed tomography findings correlated with P-glycoprotein expression, encoded by the multidrug resistance gene-1 messenger ribonucleic acid, in intracranial meningiomas,” Neurologia Medico-Chirurgica, vol. 43, no. 12, pp. 573–580, 2003.
- A. Spanu, F. Ginesu, P. Pirina et al., “The usefulness of 99mTc-tetrofosmin SPECT in the detection of intrathoracic malignant lesions,” International Journal of Oncology, vol. 22, no. 3, pp. 639–649, 2003.
- J. Y. Choi, S. E. Kim, H. J. Shin, B. T. Kim, and J. H. Kim, “Brain tumor imaging with 99mTc-tetrofosmin: comparison with 201Tl, 99mTc-MIBI, and 18F-flourodeoxyglucose,” Journal of Neuro-Oncology, vol. 46, no. 1, pp. 63–70, 2000.
- A. D. Fotopoulos, G. A. Alexiou, A. Goussia et al., “99mTc-Tetrofosmin brain SPECT in the assessment of meningiomas—correlation with histological grade and proliferation index,” Journal of Neuro-Oncology, vol. 89, no. 2, pp. 225–230, 2008.
- G. A. Alexiou, G. Vartholomatos, S. Tsiouris et al., “Evaluation of meningioma aggressiveness by 99mTc-Tetrofosmin SPECT,” Clinical Neurology and Neurosurgery, vol. 110, no. 7, pp. 645–648, 2008.
- K. H. Bohuslavizki, “Somatostatin receptor imaging: current status and future perspectives,” Journal of Nuclear Medicine, vol. 42, no. 7, pp. 1057–1058, 2001.
- J. Epelbaum, “Somatostatin in the central nervous system: physiology and pathological modifications,” Progress in Neurobiology, vol. 27, no. 1, pp. 63–100, 1986.
- J. C. Reubi, L. Kvols, E. Krenning, and S. W. J. Lamberts, “Distribution of somatostatin receptors in normal and tumor tissue,” Metabolism, vol. 39, supplement 2, no. 9, pp. 78–81, 1990.
- Y. Yamada, S. R. Post, K. Wang, H. S. Tager, G. I. Bell, and S. Seino, “Cloning and functional characterization of a family of human and mouse somatostatin receptors expressed in brain, gastrointestinal tract, and kidney,” Proceedings of the National Academy of Sciences of the United States of America, vol. 89, no. 1, pp. 251–255, 1992.
- G. I. Bell and T. Reisine, “Molecular biology of somatostatin receptors,” Trends in Neurosciences, vol. 16, no. 1, pp. 34–38, 1993.
- M. John, W. Meyerhof, D. Richter et al., “Positive somatostatin receptor scintigraphy correlates with the presence of somatostatin receptor subtype 2,” Gut, vol. 38, no. 1, pp. 33–39, 1996.
- J. Held-Feindt, B. Krisch, and R. Mentlein, “Molecular analysis of the somatostatin receptor subtype 2 in human glioma cells,” Molecular Brain Research, vol. 64, no. 1, pp. 101–107, 1999.
- M. Papotti, S. Croce, L. Macrì et al., “Correlative immunohistochemical and reverse transcriptase polymerase chain reaction analysis of somatostatin receptor type 2 in neuroendocrine tumors of the lung,” Diagnostic Molecular Pathology, vol. 9, no. 1, pp. 47–57, 2000.
- M. Vanetti, G. Vogt, and V. Hollt, “The two isoforms of the mouse somatostatin receptor (mSSTR2A and mSSTR2B) differ in coupling efficiency to adenylate cyclase and in agonist-induced receptor desensitization,” The FEBS Letters, vol. 331, no. 3, pp. 260–266, 1993.
- J. C. Reubi, R. Maurer, and S. W. J. Lamberts, “Somatostatin binding sites in human leptomeninx,” Neuroscience Letters, vol. 70, no. 2, pp. 183–186, 1986.
- J. C. Reubi, R. Maurer, J. G. M. Klijn, et al., “High incidence of somatostatin receptors in human meningiomas: biochemical characterization,” Journal of Clinical Endocrinology and Metabolism, vol. 63, no. 2, pp. 433–438, 1986.
- W. H. Bakker, R. Albert, C. Bruns et al., “[111In-DTPA-D-Phe1]-octreotide, a potential radiopharmaceutical for imaging of somatostatin receptor-positive tumors: synthesis, radiolabeling and in vitro validation,” Life Sciences, vol. 49, no. 22, pp. 1583–1591, 1991.
- Y. C. Patel and C. B. Srikant, “Subtype selectivity of peptide analogs for all five cloned human somatostatin receptors (hsstr 1–5),” Endocrinology, vol. 135, no. 6, pp. 2814–2817, 1994.
- S. Schulz, S. U. Pauli, S. Schulz et al., “Immunohistochemical determination of five somatostatin receptors in meningioma reveals frequent overexpression of somatostatin receptor subtype ,” Clinical Cancer Research, vol. 6, no. 5, pp. 1865–1874, 2000.
- A. R. Haldemann, H. Rösler, A. Barth et al., “Somatostatin receptor scintigraphy in central nervous system tumors: role of blood-brain barrier permeability,” Journal of Nuclear Medicine, vol. 36, no. 3, pp. 403–410, 1995.
- N. Nathoo, K. Ugokwe, A. S. Chang et al., “The role of 111indium-octreotide brain scintigraphy in the diagnosis of cranial, dural-based meningiomas,” Journal of Neuro-Oncology, vol. 81, no. 2, pp. 167–174, 2007.
- A. Dutour, U. Kumar, R. Panetta et al., “Expression of somatostatin receptor subtypes in human brain tumors,” International Journal of Cancer, vol. 76, no. 5, pp. 620–627, 1998.
- M. Schmidt, K. Scheidhauer, C. Luyken et al., “Somatostatin receptor imaging in intracranial tumours,” European Journal of Nuclear Medicine, vol. 25, no. 7, pp. 675–686, 1998.
- G. Hildebrandt, K. Scheidhauer, C. Luyken et al., “High sensitivity of the in vivo detection of somatostatin receptors by 111Indium (DTPA-octreotide)-scintigraphy in meningioma patients,” Acta Neurochirurgica, vol. 126, no. 2–4, pp. 63–71, 1994.
- K. Scheidhauer, G. Hildebrandt, C. Luyken, K. Schomäcker, N. Klug, and H. Schicha, “Somatostatin receptor scintigraphy in brain tumors and pituitary tumors: first experiences,” Hormone and Metabolic Research, Supplement, no. 27, pp. 59–62, 1993.
- C. Luyken, G. Hildebrandt, K. Scheidhauer, B. Krisch, H. Schicha, and N. Klug, “111Indium (DTPA-octreotide) scintigraphy in patients with cerebral gliomas,” Acta Neurochirurgica, vol. 127, no. 1-2, pp. 60–64, 1994.
- E. P. Krenning, D. J. Kwekkeboom, W. H. Bakker et al., “Somatostatin receptor scintigraphy with [111In-DTPA-D-Phe1]- and [123I-Tyr3]-octreotide: the Rotterdam experience with more than 1000 patients,” European Journal of Nuclear Medicine, vol. 20, no. 8, pp. 716–731, 1993.
- K. H. Bohuslavizki, W. Brenner, W. E. K. Braunsdorf et al., “Somatostatin receptor scintigraphy in the differential diagnosis of meningioma,” Nuclear Medicine Communications, vol. 17, no. 4, pp. 302–310, 1996.
- J. C. Reubi, W. Lang, R. Maurer, J. W. Koper, and S. W. J. Lamberts, “Distribution and biochemical characterization of somatostatin receptors in tumors of the human central nervous system,” Cancer Research, vol. 47, no. 21, pp. 5758–5764, 1987.
- A. Leondi, V. Valotassiou, J. Koutsikos, S. Tsiouris, E. Mainta, and C. Zerva, “Multiple meningiomas,” Clinical Nuclear Medicine, vol. 30, no. 5, pp. 361–362, 2005.
- P. Saeed, M. W. T. Tanck, N. Freling, L. Baldeschi, M. P. Mourits, and R. J. Bennink, “Somatostatin receptor scintigraphy for optic nerve sheath meningiomas,” Ophthalmology, vol. 116, no. 8, pp. 1581–1586, 2009.
- S. Klutmann, K. H. Bohuslavizki, W. Brenner et al., “Somatostatin receptor scintigraphy in postsurgical follow-up examinations of meningioma,” Journal of Nuclear Medicine, vol. 39, no. 11, pp. 1913–1917, 1998.
- P. M. Black, “Brain tumors. Part 1,” The New England Journal of Medicine, vol. 324, no. 21, pp. 1471–1476, 1991.
- P. M. Black, “Brain tumors. Part 2,” The New England Journal of Medicine, vol. 324, no. 22, pp. 1555–1564, 1991.
- F. deMonte, “Surgery of skull base tumors,” Current Opinion in Oncology, vol. 7, no. 3, pp. 201–206, 1995.
- V. Barresi, C. Alafaci, F. Salpietro, and G. Tuccari, “Sstr2A immunohistochemical expression in human meningiomas: Is there a correlation with the histological grade, proliferation or microvessel density?” Oncology Reports, vol. 20, no. 3, pp. 485–492, 2008.
- J. E. Bhim, H. Handmakcr, and N. A. Rinne, “The utility of a somatostatin-type receptor binding peptide radiopharmaceutical (P829) in the evaluation of solitary pulmonary nodules,” Chest, vol. 115, no. 1, pp. 224–232, 1999.
- I. Virgolini, M. Leimer, H. Handmaker et al., “Somatostatin receptor subtype specificity and in viva binding of a novel tumor tracer, 99mTc-P829,” Cancer Research, vol. 58, no. 9, pp. 1850–1859, 1998.
- I. Virgolini, T. Traub, C. Novotny et al., “New trends in peptide receptor radioligands,” Quarterly Journal of Nuclear Medicine, vol. 45, no. 2, pp. 153–159, 2001.
- Committee for Proprietary Medicinal Products (CPMP), European Public Assessment Report 2065: Scientific Discussion of Depreotide (NeoSPECT): Clinical Pharmacology. London: The European Agency for the Evaluation of Medicinal Products (EAMA), pp. 11–14, 2000.
- E. P. Krenning, W. H. Bakker, P. P. M. Kooij et al., “Somatostatin receptor scintigraphy with indium-111-DTPA-D-Phe-1-octreotide in man: metabolism, dosimetry and comparison with iodine-123-Tyr-3-octreotide,” Journal of Nuclear Medicine, vol. 33, no. 5, pp. 652–658, 1992.
- D. Hellwig, S. Samnick, J. Reif et al., “Comparison of Tc-99m Depreotide and In-111 Octreotide in Recurrent Meningioma,” Clinical Nuclear Medicine, vol. 27, no. 11, pp. 781–784, 2002.
- G. di Chiro, J. Hatazawa, D. A. Katz, H. V. Rizzoli, and D. J. de Michele, “Glucose utilization by intracranial meningiomas as an index of tumor aggressivity and probability of recurrence: a PET study,” Radiology, vol. 164, no. 2, pp. 521–526, 1987.
- A. Sabet, H. Ahmadzadehfar, U. Herrlinger, W. Wilinek, H. J. Biersack, and S. Ezziddin, “Successful radiopeptide targeting of metastatic anaplastic meningioma: case report,” Radiation Oncology, vol. 6, no. 1, article 94, 2011.
- J. W. Lee, K. W. Kang, S. H. Park et al., “18F-FDG PET in the assessment of tumor grade and prediction of tumor recurrence in intracranial meningioma,” European Journal of Nuclear Medicine and Molecular Imaging, vol. 36, no. 10, pp. 1574–1582, 2009.
- U. Cremerius, E. Striepecke, W. Henn et al., “18FDG-PET in intracranial meningiomas versus grading, proliferation index, cellular density and cytogenetical analysis,” NuklearMedizin, vol. 33, no. 4, pp. 144–149, 1994.
- U. Cremerius, R. Bares, J. Weis et al., “Fasting improves discrimination of grade 1 and atypical or malignant meningioma in FDG-PET,” Journal of Nuclear Medicine, vol. 38, no. 1, pp. 26–30, 1997.
- D. Delbeke, C. Meyerowitz, R. L. Lapidus et al., “Optimal cutoff levels of F-18 fluorodeoxyglucose uptake in the differentiation of low-grade from high-grade brain tumors with PET,” Radiology, vol. 195, no. 1, pp. 47–52, 1995.
- R. S. Liu, C. P. Chang, W. Y. Guo et al., “1-11C-acetate versus 18F-FDG PET in detection of meningioma and monitoring the effect of γ-knife radiosurgery,” Journal of Nuclear Medicine, vol. 51, no. 6, pp. 883–891, 2010.
- T. S. Lee, S. H. Ahn, B. S. Moon et al., “Comparison of 18F-FDG, 18F-FET and 18F-FLT for differentiation between tumor and inflammation in rats,” Nuclear Medicine and Biology, vol. 36, no. 6, pp. 681–686, 2009.
- P. Caroli, C. Nanni, D. Rubello, A. Alavi, and S. Fanti, “Non-FDG PET in the practice of oncology,” Indian Journal of Cancer, vol. 47, no. 2, pp. 120–125, 2010.
- W. Vaalburg, H. H. Coenen, C. Crouzel et al., “Amino acids for the measurement of protein synthesis in vivo by PET,” International Journal of Radiation Applications and Instrumentation B, vol. 19, no. 2, pp. 227–237, 1992.
- O. Gudjonsson, E. Blomquist, A. Lilja, H. Ericson, M. Bergström, and G. Nyberg, “Evaluation of the effect of high-energy proton irradiation treatment on meningiomas by means of 11C-L-methionine PET,” European Journal of Nuclear Medicine, vol. 27, no. 12, pp. 1793–1799, 2000.
- A. L. Grosu, W. A. Weber, S. T. Astner et al., “11C-methionine PET improves the target volume delineation of meningiomas treated with stereotactic fractionated radiotherapy,” International Journal of Radiation Oncology, Biology, Physics, vol. 66, no. 2, pp. 339–344, 2006.
- G. Nyberg, M. Bergström, P. Enblad, A. Lilja, C. Muhr, and B. Långström, “PET-methionine of skull base neuromas and meningiomas,” Acta Oto-Laryngologica, vol. 117, no. 4, pp. 482–489, 1997.
- T. Ogawa, A. Inugami, J. Hatazawa et al., “Clinical positron emission tomography for brain tumors: comparison of fludeoxyglucose F 18 and L-methyl-11C-methionine,” American Journal of Neuroradiology, vol. 17, no. 2, pp. 345–353, 1996.
- S. T. Astner, M. Dobrei-Ciuchendea, M. Essler et al., “Effect of 11C-methionine-positron emission tomography on gross tumor volume delineation in stereotactic radiotherapy of skull base meningiomas,” International Journal of Radiation Oncology, Biology, Physics, vol. 72, no. 4, pp. 1161–1167, 2008.
- H. Arita, M. Kinoshita, Y. Okita, et al., “Clinical characteristics of meningiomas assessed by 11C-methionine and 18F-fluorodeoxyglucose positron-emission tomography,” Journal of Neuro-Oncology, vol. 107, no. 2, pp. 379–386, 2012.
- T. Iuchi, Y. Iwadate, H. Namba et al., “Glucose and methionine uptake and proliferative activity in meningiomas,” Neurological Research, vol. 21, no. 7, pp. 640–644, 1999.
- I. Rutten, J. E. Cabay, N. Withofs et al., “PET/CT of skull base meningiomas using 2-18F-fluoro-L-tyrosine: initial report,” Journal of Nuclear Medicine, vol. 48, no. 5, pp. 720–725, 2007.
- R. C. Murphy, A. Kawashima, and P. J. Peller, “The utility of 11C-choline PET/CT for imaging prostate cancer: a pictorial guide,” American Journal of Roentgenology, vol. 196, no. 6, pp. 1390–1398, 2011.
- T. Hara, N. Kosaka, N. Shinoura, and T. Kondo, “PET imaging of brain tumor with [methyl-11C]choline,” Journal of Nuclear Medicine, vol. 38, no. 6, pp. 842–847, 1997.
- R. Buhl, A. Nabavi, S. Wolff et al., “MR spectroscopy in patients with intracranial meningiomas,” Neurological Research, vol. 29, no. 1, pp. 43–46, 2007.
- F. Fallanca, G. Giovacchini, M. Picchio, V. Bettinardi, C. Messa, and F. Fazio, “Incidental detection by [11C]choline PET/CT of meningiomas in prostate cancer patients,” Quarterly Journal of Nuclear Medicine and Molecular Imaging, vol. 53, no. 4, pp. 417–421, 2009.
- G. Giovacchini, F. Fallanca, C. Landoni et al., “C-11 choline versus F-18 fluorodeoxyglucose for imaging meningiomas: an initial experience,” Clinical Nuclear Medicine, vol. 34, no. 1, pp. 7–10, 2009.
- E. Y. Yu, M. Muzi, J. A. Hackenbracht et al., “C11-acetate and F-18 FDG PET for men with prostate cancer bone metastases: relative findings and response to therapy,” Clinical Nuclear Medicine, vol. 36, no. 3, pp. 192–198, 2011.
- N. Salem, Y. Kuang, D. Corn, et al., “[(Methyl)1-11C]-acetate metabolism in hepatocellular carcinoma,” Molecular Imaging and Biology, vol. 13, no. 1, pp. 140–151, 2011.
- H. Nomori, H. Shibata, K. Uno et al., “11C-acetate can be used in place of 18f-fluorodeoxyglucose for positron emission tomography imaging of non-small cell lung cancer with higher sensitivity for well-differentiated adenocarcinoma,” Journal of Thoracic Oncology, vol. 3, no. 12, pp. 1427–1432, 2008.
- R. S. Liu, C. P. Chang, L. S. Chu et al., “PET imaging of brain astrocytoma with 1-11C-acetate,” European Journal of Nuclear Medicine and Molecular Imaging, vol. 33, no. 4, pp. 420–427, 2006.
- S. H. Yeh, R. S. Liu, L. C. Wu, S. H. Yen, C. W. Chang, and K. Y. Chen, “11C-acetate clearance in nasopharyngeal carcinoma,” Nuclear Medicine Communications, vol. 20, no. 2, pp. 131–134, 1999.
- N. Oyama, H. Akino, H. Kanamaru et al., “11C-acetate PET imaging of prostate cancer,” Journal of Nuclear Medicine, vol. 43, no. 2, pp. 181–186, 2002.
- G. A. Dienel, D. Popp, P. D. Drew, K. Ball, A. Krisht, and N. F. Cruz, “Preferential labeling of glial and meningial brain tumors with [2-14C]acetate,” Journal of Nuclear Medicine, vol. 42, no. 8, pp. 1243–1250, 2001.
- K. G. Go, “The normal and pathological physiology of brain water,” Advances and Technical Standards in Neurosurgery, vol. 23, pp. 47–142, 1997.
- Z. Xiangsong, L. Changhong, C. Weian, and Z. Dong, “PET imaging of cerebral astrocytoma with 13N-ammonia,” Journal of Neuro-Oncology, vol. 78, no. 2, pp. 145–151, 2006.
- Z. Xiangsong and C. Weian, “Differentiation of recurrent astrocytoma from radiation necrosis: a pilot study with 13N-NH3 PET,” Journal of Neuro-Oncology, vol. 82, no. 3, pp. 305–311, 2007.
- Z. Xiangsong, S. Xingchong, Y. Chang, W. Xiaoyan, and C. Zhifeng, “13N-NH3 versus F-18 FDG in detection of intracranial meningioma: initial report,” Clinical Nuclear Medicine, vol. 36, no. 11, pp. 1003–1006, 2011.
- A. Heppeler, S. Froidevaux, H. R. Mäcke et al., “Radiometal-labelled macrocyclic chelator-derivatised somatostatin analogue with superb tumour-targeting properties and potential for receptor-mediated internal radiotherapy,” Chemistry A, vol. 5, no. 7, pp. 1974–1981, 1999.
- J. C. Reubi, J. C. Schär, B. Waser et al., “Affinity profiles for human somatostatin receptor subtypes SST1-SST5 of somatostatin radiotracers selected for scintigraphic and radiotherapeutic use,” European Journal of Nuclear Medicine, vol. 27, no. 3, pp. 273–282, 2000.
- M. Henze, J. Schuhmacher, P. Hipp et al., “PET imaging of somatostatin receptors using [68GA]DOTA-D-Phe1-Tyr3-Octreotide: first results in patients with meningiomas,” Journal of Nuclear Medicine, vol. 42, no. 7, pp. 1053–1056, 2001.
- M. Henze, A. Dimitrakopoulou-Strauss, S. Milker-Zabel et al., “Characterization of 68Ga-DOTA-D-Phe1-Tyr3-octreotide kinetics in patients with meningiomas,” Journal of Nuclear Medicine, vol. 46, no. 5, pp. 763–769, 2005.
- P. J. Derome, “Surgical management of tumours invading the skull base,” The Canadian Journal of Neurological Sciences, vol. 12, no. 4, pp. 345–347, 1985.
- G. Guiot and P. Derome, “Apropos of meningiomas “en plaque” of the pterion. Surgical treatment of hyperostotic osseous meningiomas,” Annales de Chirurgie, vol. 20, no. 19, pp. 1109–1127, 1966.
- B. Gehler, F. Paulsen, M. T. Oksüz et al., “[68Ga]-DOTATOC-PET/CT for meningioma IMRT treatment planning,” Radiation Oncology, vol. 4, no. 1, article 56, 2009.
- F. Nyuyki, M. Plotkin, R. Graf et al., “Potential impact of 68Ga-DOTATOC PET/CT on stereotactic radiotherapy planning of meningiomas,” European Journal of Nuclear Medicine and Molecular Imaging, vol. 37, no. 2, pp. 310–318, 2010.
- D. Thorwarth, G. Henke, A. C. Müller et al., “Simultaneous 68Ga-DOTATOC-PET/MRI for IMRT treatment planning for meningioma: first experience,” International Journal of Radiation Oncology, Biology, Physics, vol. 81, no. 1, pp. 277–283, 2011.
- S. Milker-Zabel, A. Zabel-du Bois, M. Henze et al., “Improved target volume definition for fractionated stereotactic radiotherapy in patients with intracranial meningiomas by correlation of CT, MRI, and [68Ga]-DOTATOC-PET,” International Journal of Radiation Oncology, Biology, Physics, vol. 65, no. 1, pp. 222–227, 2006.
- W. Becker, “Nuclear medicine goes therapy?” Nuklearmedizin, vol. 38, no. 2, pp. 3–5, 1999.
- S. M. Larson, J. Tjuvajev, and R. Blasberg, “Triumph over mischance: a role for nuclear medicine in gene therapy,” Journal of Nuclear Medicine, vol. 38, no. 8, pp. 1230–1233, 1997.