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Contrast Media & Molecular Imaging
Volume 2017, Article ID 4729547, 16 pages
https://doi.org/10.1155/2017/4729547
Review Article

Meta-Analysis of the Correlation between Apparent Diffusion Coefficient and Standardized Uptake Value in Malignant Disease

1Department of Nuclear Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China
2Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
3Molecular Imaging Precision Medicine Collaborative Innovation Center, Shanxi Medical University, Taiyuan, China

Correspondence should be addressed to Bin Zhang; moc.621@dmlcunbz and Jianhua Yan; moc.liamg@nay.auhnaij

Received 1 July 2016; Accepted 15 January 2017; Published 26 February 2017

Academic Editor: Anne Roivainen

Copyright © 2017 Shengming Deng 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.

Linked References

  1. X.-Y. Wang, F. Yang, C. Jin, and D.-L. Fu, “Utility of PET/CT in diagnosis, staging, assessment of resectability and metabolic response of pancreatic cancer,” World Journal of Gastroenterology, vol. 20, no. 42, pp. 15580–15589, 2014. View at Publisher · View at Google Scholar · View at Scopus
  2. S. L. Hu, Z. Y. Yang, Z. R. Zhou, X. J. Yu, B. Ping, and Y. J. Zhang, “Role of SUV(max) obtained by 18F-FDG PET/CT in patients with a solitary pancreatic lesion: predicting malignant potential and proliferation,” Nuclear Medicine Communications, vol. 34, no. 6, pp. 533–539, 2013. View at Publisher · View at Google Scholar
  3. G. Tomasi and L. Rosso, “PET imaging: implications for the future of therapy monitoring with PET/CT in oncology,” Current Opinion in Pharmacology, vol. 12, no. 5, pp. 569–575, 2012. View at Publisher · View at Google Scholar · View at Scopus
  4. D. Le Bihan, E. Breton, D. Lallemand, P. Grenier, E. Cabanis, and M. Laval-Jeantet, “MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders,” Radiology, vol. 161, no. 2, pp. 401–407, 1986. View at Publisher · View at Google Scholar · View at Scopus
  5. F. Mosavi, C. Wassberg, J. Selling, D. Molin, and H. Ahlström, “Whole-body diffusion-weighted MRI and 18F-FDG PET/CT can discriminate between different lymphoma subtypes,” Clinical Radiology, vol. 70, no. 11, pp. 1229–1236, 2015. View at Publisher · View at Google Scholar · View at Scopus
  6. X. Wu, P.-L. Kellokumpu-Lehtinen, H. Pertovaara et al., “Diffusion-weighted MRI in early chemotherapy response evaluation of patients with diffuse large B-cell lymphoma—a pilot study: comparison with 2-deoxy-2-fluoro-D-glucose-positron emission tomography/computed tomography,” NMR in Biomedicine, vol. 24, no. 10, pp. 1181–1190, 2011. View at Publisher · View at Google Scholar · View at Scopus
  7. P. Heusch, J. Köhler, H.-J. Wittsack et al., “Hybrid [18F]-FDG PET/MRI including non-Gaussian diffusion-weighted imaging (DWI): preliminary results in non-small cell lung cancer (NSCLC),” European Journal of Radiology, vol. 82, no. 11, pp. 2055–2060, 2013. View at Publisher · View at Google Scholar · View at Scopus
  8. T. Mori, H. Nomori, K. Ikeda et al., “Diffusion-weighted magnetic resonance imaging for diagnosing malignant pulmonary nodules/masses: comparison with positron emission tomography,” Journal of Thoracic Oncology, vol. 3, no. 4, pp. 358–364, 2008. View at Publisher · View at Google Scholar · View at Scopus
  9. K.-C. Ho, G. Lin, J.-J. Wang, C.-H. Lai, C.-J. Chang, and T.-C. Yen, “Correlation of apparent diffusion coefficients measured by 3T diffusion-weighted MRI and SUV from FDG PET/CT in primary cervical cancer,” European Journal of Nuclear Medicine and Molecular Imaging, vol. 36, no. 2, pp. 200–208, 2009. View at Publisher · View at Google Scholar · View at Scopus
  10. B. Palumbo, F. Angotti, and G. D. Marano, “Relationship between PET-FDG and MRI apparent diffusion coefficients in brain tumors,” Quarterly Journal of Nuclear Medicine and Molecular Imaging, vol. 53, no. 1, pp. 17–22, 2009. View at Google Scholar · View at Scopus
  11. T. Aoyagi, K. Shuto, S. Okazumi et al., “Evaluation of the clinical staging of esophageal cancer by using diffusion-weighted imaging,” Experimental and Therapeutic Medicine, vol. 1, no. 5, pp. 847–851, 2010. View at Publisher · View at Google Scholar · View at Scopus
  12. M. Nakajo, Y. Kajiya, T. Kaneko et al., “FDG PET/CT and diffusion-weighted imaging for breast cancer: prognostic value of maximum standardized uptake values and apparent diffusion coefficient values of the primary lesion,” European Journal of Nuclear Medicine and Molecular Imaging, vol. 37, no. 11, pp. 2011–2020, 2010. View at Publisher · View at Google Scholar · View at Scopus
  13. S. Punwani, V. Prakash, A. Bainbridge et al., “Quantitative diffusion weighted MRI: a functional biomarker of nodal disease in Hodgkin lymphoma?” Cancer Biomarkers, vol. 7, no. 4, pp. 249–259, 2010. View at Publisher · View at Google Scholar · View at Scopus
  14. K. Tanimoto, K. Yoshikawa, T. Obata et al., “Role of glucose metabolism and cellularity for tumor malignancy evaluation using FDG-PET/CT and MRI,” Nuclear Medicine Communications, vol. 31, no. 6, pp. 604–609, 2010. View at Publisher · View at Google Scholar · View at Scopus
  15. S. H. Choi, J. C. Paeng, C.-H. Sohn et al., “Correlation of 18F-FDG uptake with apparent diffusion coefficient ratio measured on standard and high b value diffusion MRI in head and neck cancer,” Journal of Nuclear Medicine, vol. 52, no. 7, pp. 1056–1062, 2011. View at Publisher · View at Google Scholar · View at Scopus
  16. J. Fruehwald-Pallamar, C. Czerny, M. E. Mayerhoefer et al., “Functional imaging in head and neck squamous cell carcinoma: correlation of PET/CT and diffusion-weighted imaging at 3 Tesla,” European Journal of Nuclear Medicine and Molecular Imaging, vol. 38, no. 6, pp. 1009–1019, 2011. View at Publisher · View at Google Scholar · View at Scopus
  17. J. Gu, P.-L. Khong, S. Wang, Q. Chan, W. Law, and J. Zhang, “Quantitative assessment of diffusion-weighted MR imaging in patients with primary rectal cancer: correlation with FDG-PET/CT,” Molecular Imaging and Biology, vol. 13, no. 5, pp. 1020–1028, 2011. View at Publisher · View at Google Scholar · View at Scopus
  18. Y. Ohba, H. Nomori, T. Mori, K. Shiraishi, T. Namimoto, and K. Katahira, “Diffusion-weighted magnetic resonance for pulmonary nodules: 1.5 vs. 3 Tesla,” Asian Cardiovascular and Thoracic Annals, vol. 19, no. 2, pp. 108–114, 2011. View at Publisher · View at Google Scholar · View at Scopus
  19. K. Usuda, X.-T. Zhao, M. Sagawa et al., “Diffusion-weighted imaging is superior to positron emission tomography in the detection and nodal assessment of lung cancers,” Annals of Thoracic Surgery, vol. 91, no. 6, pp. 1689–1695, 2011. View at Publisher · View at Google Scholar · View at Scopus
  20. X. Wu, P. Korkola, H. Pertovaara, H. Eskola, R. Järvenpää, and P.-L. Kellokumpu-Lehtinen, “No correlation between glucose metabolism and apparent diffusion coefficient in diffuse large B-cell lymphoma: a PET/CT and DW-MRI study,” European Journal of Radiology, vol. 79, no. 2, pp. e117–e121, 2011. View at Publisher · View at Google Scholar · View at Scopus
  21. D. Cafagna, G. Rubini, F. Iuele et al., “Whole-body MR-DWIBS vs. [18F]-FDG-PET/CT in the study of malignant tumors: a retrospective study,” Radiologia Medica, vol. 117, no. 2, pp. 293–311, 2012. View at Publisher · View at Google Scholar · View at Scopus
  22. B. B. Choi, S. H. Kim, B. J. Kang et al., “Diffusion-weighted imaging and FDG PET/CT: predicting the prognoses with apparent diffusion coefficient values and maximum standardized uptake values in patients with invasive ductal carcinoma,” World Journal of Surgical Oncology, vol. 10, article 126, 2012. View at Publisher · View at Google Scholar · View at Scopus
  23. N. Matsushima, M. Maeda, M. Umino, N. Suzawa, T. Yamada, and K. Takeda, “Relation between FDG uptake and apparent diffusion coefficients in glioma and malignant lymphoma,” Annals of Nuclear Medicine, vol. 26, no. 3, pp. 262–271, 2012. View at Publisher · View at Google Scholar · View at Scopus
  24. M. Nakajo, M. Nakajo, Y. Kajiya et al., “FDG PET/CT and diffusion-weighted imaging of head and neck squamous cell carcinoma: comparison of prognostic significance between primary tumor standardized uptake value and apparent diffusion coefficient,” Clinical Nuclear Medicine, vol. 37, no. 5, pp. 475–480, 2012. View at Publisher · View at Google Scholar · View at Scopus
  25. S. Nakamatsu, E. Matsusue, H. Miyoshi, S. Kakite, T. Kaminou, and T. Ogawa, “Correlation of apparent diffusion coefficients measured by diffusion-weighted MR imaging and standardized uptake values from FDG PET/CT in metastatic neck lymph nodes of head and neck squamous cell carcinomas,” Clinical Imaging, vol. 36, no. 2, pp. 90–97, 2012. View at Publisher · View at Google Scholar · View at Scopus
  26. K. Nakamura, I. Joja, J. Kodama, A. Hongo, and Y. Hiramatsu, “Measurement of SUVmax plus ADCmin of the primary tumour is a predictor of prognosis in patients with cervical cancer,” European Journal of Nuclear Medicine and Molecular Imaging, vol. 39, no. 2, pp. 283–290, 2012. View at Publisher · View at Google Scholar · View at Scopus
  27. M. Regier, T. Derlin, D. Schwarz et al., “Diffusion weighted MRI and 18F-FDG PET/CT in non-small cell lung cancer (NSCLC): does the apparent diffusion coefficient (ADC) correlate with tracer uptake (SUV)?” European Journal of Radiology, vol. 81, no. 10, pp. 2913–2918, 2012. View at Publisher · View at Google Scholar · View at Scopus
  28. S. J. Ahn, M.-S. Park, K. A. Kim et al., “18F-FDG PET metabolic parameters and MRI perfusion and diffusion parameters in hepatocellular carcinoma: a preliminary study,” PLoS ONE, vol. 8, no. 8, Article ID e71571, 2013. View at Publisher · View at Google Scholar · View at Scopus
  29. B. H. Byun, W. C. Noh, I. Lim et al., “A new method for apparent diffusion coefficient measurement using sequential 18F-FDG PET and MRI: correlation with histological grade of invasive ductal carcinoma of the breast,” Annals of Nuclear Medicine, vol. 27, no. 8, pp. 720–728, 2013. View at Publisher · View at Google Scholar · View at Scopus
  30. N.-J. Gong, C.-S. Wong, Y.-C. Chu, H. Guo, B. Huang, and Q. Chan, “Increasing the accuracy of volume and ADC delineation for heterogeneous tumor on diffusion-weighted MRI: correlation with PET/CT,” International Journal of Radiation Oncology, Biology, Physics, vol. 87, no. 2, pp. 407–413, 2013. View at Publisher · View at Google Scholar · View at Scopus
  31. K. Nakamura, I. Joja, C. Fukushima et al., “The preoperative SUVmax is superior to ADCmin of the primary tumour as a predictor of disease recurrence and survival in patients with endometrial cancer,” European Journal of Nuclear Medicine and Molecular Imaging, vol. 40, no. 1, pp. 52–60, 2013. View at Publisher · View at Google Scholar · View at Scopus
  32. R. Rakheja, H. Chandarana, L. DeMello et al., “Correlation between standardized uptake value and apparent diffusion coefficient of neoplastic lesions evaluated with whole-body simultaneous hybrid PET/MRI,” American Journal of Roentgenology, vol. 201, no. 5, pp. 1115–1119, 2013. View at Publisher · View at Google Scholar · View at Scopus
  33. H. Schmidt, C. Brendle, C. Schraml et al., “Correlation of simultaneously acquired diffusion-weighted imaging and 2-deoxy-[18F] fluoro-2-D-glucose positron emission tomography of pulmonary lesions in a dedicated whole-body magnetic resonance/positron emission tomography system,” Investigative Radiology, vol. 48, no. 5, pp. 247–255, 2013. View at Publisher · View at Google Scholar · View at Scopus
  34. T. Tsuchida, M. Morikawa, Y. Demura, Y. Umeda, H. Okazawa, and H. Kimura, “Imaging the early response to chemotherapy in advanced lung cancer with diffusion-weighted magnetic resonance imaging compared to fluorine-18 fluorodeoxyglucose positron emission tomography and computed tomography,” Journal of Magnetic Resonance Imaging, vol. 38, no. 1, pp. 80–88, 2013. View at Publisher · View at Google Scholar · View at Scopus
  35. A. Varoquaux, O. Rager, K.-O. Lovblad et al., “Functional imaging of head and neck squamous cell carcinoma with diffusion-weighted MRI and FDG PET/CT: quantitative analysis of ADC and SUV,” European Journal of Nuclear Medicine and Molecular Imaging, vol. 40, no. 6, pp. 842–852, 2013. View at Publisher · View at Google Scholar · View at Scopus
  36. S. Baba, T. Isoda, Y. Maruoka et al., “Diagnostic and prognostic value of pretreatment SUV in 18F-FDG/PET in breast cancer: comparison with apparent diffusion coefficient from diffusion-weighted MR imaging,” Journal of Nuclear Medicine, vol. 55, no. 5, pp. 736–742, 2014. View at Publisher · View at Google Scholar · View at Scopus
  37. A. de Jong, T. C. Kwee, J. M. de Klerk et al., “Relationship between pretreatment FDG-PET and diffusion-weighted MRI biomarkers in diffuse large B-cell lymphoma,” American Journal of Nuclear Medicine and Molecular Imaging, vol. 4, no. 3, pp. 231–238, 2014. View at Google Scholar
  38. H. Ç. Er, A. Erden, N. Ö. Küçük, and E. Geçim, “Correlation of minimum apparent diffusion coefficient with maximum standardized uptake on fluorodeoxyglucose PET-CT in patients with rectal adenocarcinoma,” Diagnostic and Interventional Radiology, vol. 20, no. 2, pp. 105–109, 2014. View at Publisher · View at Google Scholar
  39. F. Giganti, F. De Cobelli, C. Canevari et al., “Response to chemotherapy in gastric adenocarcinoma with diffusion-weighted MRI and 18F-FDG-PET/CT: correlation of apparent diffusion coefficient and partial volume corrected standardized uptake value with histological tumor regression grade,” Journal of Magnetic Resonance Imaging, vol. 40, no. 5, pp. 1147–1157, 2014. View at Publisher · View at Google Scholar · View at Scopus
  40. J. Grueneisen, K. Beiderwellen, P. Heusch et al., “Correlation of standardized uptake value and apparent diffusion coefficient in integrated whole-body PET/MRI of primary and recurrent cervical cancer,” PLoS ONE, vol. 9, no. 5, Article ID e96751, 2014. View at Publisher · View at Google Scholar · View at Scopus
  41. Y. Iizuka, Y. Matsuo, S. Umeoka et al., “Prediction of clinical outcome after stereotactic body radiotherapy for non-small cell lung cancer using diffusion-weighted MRI and 18F-FDG PET,” European Journal of Radiology, vol. 83, no. 11, pp. 2087–2092, 2014. View at Publisher · View at Google Scholar · View at Scopus
  42. M. Sakane, M. Tatsumi, T. Kim et al., “Correlation between apparent diffusion coefficients on diffusion-weighted MRI and standardized uptake value on FDG-PET/CT in pancreatic adenocarcinoma,” Acta Radiologica, vol. 56, no. 9, pp. 1034–1041, 2015. View at Publisher · View at Google Scholar · View at Scopus
  43. N. F. Schwenzer, H. Schmidt, S. Gatidis et al., “Measurement of apparent diffusion coefficient with simultaneous MR/positron emission tomography in patients with peritoneal carcinomatosis: comparison with 18F-FDG-PET,” Journal of Magnetic Resonance Imaging, vol. 40, no. 5, pp. 1121–1128, 2014. View at Publisher · View at Google Scholar · View at Scopus
  44. H. Sun, J. Xin, S. Zhang et al., “Anatomical and functional volume concordance between FDG PET, and T2 and diffusion-weighted MRI for cervical cancer: a hybrid PET/MR study,” European Journal of Nuclear Medicine and Molecular Imaging, vol. 41, no. 5, pp. 898–905, 2014. View at Publisher · View at Google Scholar · View at Scopus
  45. X. Yu, E. Y. P. Lee, V. Lai, and Q. Chan, “Correlation between tissue metabolism and cellularity assessed by standardized uptake value and apparent diffusion coefficient in peritoneal metastasis,” Journal of Magnetic Resonance Imaging, vol. 40, no. 1, pp. 99–105, 2014. View at Publisher · View at Google Scholar · View at Scopus
  46. J. Zhang, L.-B. Cui, X. Tang et al., “DW MRI at 3.0 T versus FDG PET/CT for detection of malignant pulmonary tumors,” International Journal of Cancer, vol. 134, no. 3, pp. 606–611, 2014. View at Publisher · View at Google Scholar · View at Scopus
  47. K. Zukotynski, F. Fahey, M. Kocak et al., “18F-FDG PET and MR imaging associations across a spectrum of pediatric brain tumors: a report from the pediatric brain tumor consortium,” Journal of Nuclear Medicine, vol. 55, no. 9, pp. 1473–1480, 2014. View at Publisher · View at Google Scholar · View at Scopus
  48. P. Brandmaier, S. Purz, K. Bremicker et al., “Simultaneous [18F]FDG-PET/MRI: correlation of apparent diffusion coefficient (ADC) and standardized uptake value (SUV) in primary and recurrent cervical cancer,” PLoS ONE, vol. 10, no. 11, Article ID e0141684, 2015. View at Publisher · View at Google Scholar · View at Scopus
  49. M. Covello, C. Cavaliere, M. Aiello et al., “Simultaneous PET/MR head-neck cancer imaging: preliminary clinical experience and multiparametric evaluation,” European Journal of Radiology, vol. 84, no. 7, pp. 1269–1276, 2015. View at Publisher · View at Google Scholar · View at Scopus
  50. M. Han, S. Y. O. Kim, S. J. I. Lee, and J. W. O. Choi, “The correlations between mri perfusion, diffusion parameters, and 18F-FDG PET metabolic parameters in primary head-and-neck cancer: a cross-sectional analysis in single institute,” Medicine, vol. 94, no. 47, Article ID e2141, 2015. View at Publisher · View at Google Scholar · View at Scopus
  51. L. Heacock, J. Weissbrot, R. Raad et al., “PET/MRI for the evaluation of patients with Lymphoma: initial observations,” American Journal of Roentgenology, vol. 204, no. 4, pp. 842–848, 2015. View at Publisher · View at Google Scholar · View at Scopus
  52. B. Karan, A. Pourbagher, and N. Torun, “Diffusion-weighted imaging and 18F-fluorodeoxyglucose positron emission tomography/computed tomography in breast cancer: correlation of the apparent diffusion coefficient and maximum standardized uptake values with prognostic factors,” Journal of Magnetic Resonance Imaging, vol. 43, no. 6, pp. 1434–1444, 2016. View at Publisher · View at Google Scholar · View at Scopus
  53. A. S. Littooij, T. C. Kwee, B. de Keizer et al., “Whole-body MRI-DWI for assessment of residual disease after completion of therapy in lymphoma: a prospective multicenter study,” Journal of Magnetic Resonance Imaging, vol. 42, no. 6, pp. 1646–1655, 2015. View at Publisher · View at Google Scholar · View at Scopus
  54. L.-P. Liu, X.-X. Zhang, L.-B. Cui et al., “Preliminary comparison of diffusion-weighted MRI and PET/CT in predicting histological type and malignancy of lung cancer,” The Clinical Respiratory Journal, 2015. View at Publisher · View at Google Scholar
  55. S. Metz, C. Ganter, S. Lorenzen et al., “Multiparametric MR and PET imaging of intratumoral biological heterogeneity in patients with metastatic lung cancer using voxel-by-voxel analysis,” PLoS ONE, vol. 10, no. 7, Article ID e0132386, 2015. View at Publisher · View at Google Scholar · View at Scopus
  56. B. M. Schaarschmidt, C. Buchbender, F. Nensa et al., “Correlation of the apparent diffusion coefficient (ADC) with the standardized uptake value (SUV) in lymph node metastases of non-small cell lung cancer (NSCLC) patients using hybrid 18F-FDG PET/MRI,” PLoS ONE, vol. 10, no. 1, Article ID e0116277, 2015. View at Google Scholar
  57. M. T. Rupinski and W. P. Dunlap, “Approximating Pearson product-moment correlations from Kendall's tau and Spearman's rho,” Educational and Psychological Measurement, vol. 56, no. 3, pp. 419–429, 1996. View at Publisher · View at Google Scholar · View at Scopus
  58. P. F. Whiting, A. W. S. Rutjes, M. E. Westwood et al., “Quadas-2: a revised tool for the quality assessment of diagnostic accuracy studies,” Annals of Internal Medicine, vol. 155, no. 8, pp. 529–536, 2011. View at Publisher · View at Google Scholar · View at Scopus
  59. J. R. Landis and G. G. Koch, “The measurement of observer agreement for categorical data,” Biometrics, vol. 33, no. 1, pp. 159–174, 1977. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  60. Y. Ohba, H. Nomori, T. Mori et al., “Is diffusion-weighted magnetic resonance imaging superior to positron emission tomography with fludeoxyglucose F 18 in imaging non-small cell lung cancer?” Journal of Thoracic and Cardiovascular Surgery, vol. 138, no. 2, pp. 439–445, 2009. View at Publisher · View at Google Scholar · View at Scopus
  61. R. Murakami, T. Sugahara, H. Nakamura et al., “Malignant supratentorial astrocytoma treated with postoperative radiation therapy: prognostic value of pretreatment quantitative diffusion-weighted MR imaging,” Radiology, vol. 243, no. 2, pp. 493–499, 2007. View at Publisher · View at Google Scholar · View at Scopus
  62. O. Warburg, “On the origin of cancer cells,” Science, vol. 123, no. 3191, pp. 309–314, 1956. View at Publisher · View at Google Scholar · View at Scopus
  63. J. Bajpai, S. Gamnagatti, R. Kumar et al., “Role of MRI in osteosarcoma for evaluation and prediction of chemotherapy response: correlation with histological necrosis,” Pediatric Radiology, vol. 41, no. 4, pp. 441–450, 2011. View at Publisher · View at Google Scholar · View at Scopus
  64. K.-O. Lövblad, H.-J. Laubach, A. E. Baird et al., “Clinical experience with diffusion-weighted MR in patients with acute stroke,” American Journal of Neuroradiology, vol. 19, no. 6, pp. 1061–1066, 1998. View at Google Scholar · View at Scopus
  65. L. Chen, M. Liu, J. Bao et al., “The correlation between apparent diffusion coefficient and tumor cellularity in patients: a meta-analysis,” PLoS ONE, vol. 8, no. 11, Article ID e79008, 2013. View at Publisher · View at Google Scholar · View at Scopus