Table of Contents
International Journal of Molecular Imaging
Volume 2013, Article ID 132804, 9 pages
http://dx.doi.org/10.1155/2013/132804
Research Article

Effects of ROI Placement on PET-Based Assessment of Tumor Response to Therapy

1Department of Medical Biophysics, University of Toronto, Ontario Cancer Institute, Princess Margaret Hospital, 610 University Avenue, Room 7-411, Toronto, ON, Canada M5G 2M9
2Department of Medical Physics, Odette Cancer Centre, Sunnybrook Health Sciences Center, 2075 Bayview Avenue, Room TG-217, Toronto, ON, Canada M4N 3M5
3Department of Medical Imaging, Faculty of Medicine, University of Toronto, 263 McCaul Street, 4th Floor, Toronto, ON, Canada M5T 1W7
4Department of Radiation Oncology, University of Toronto, FitzGerald Building, 150 College Street, Room 106, Toronto, ON, Canada M5S 3S2
5Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Center, Toronto, ON, Canada M4N 3M5

Received 4 September 2012; Revised 15 January 2013; Accepted 7 February 2013

Academic Editor: Adriaan A. Lammertsma

Copyright © 2013 Mike Sattarivand 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. M. Schelling, N. Avril, J. Nährig et al., “Positron emission tomography using [(18)F]fluorodeoxyglucose for monitoring primary chemotherapy in breast cancer,” Journal of Clinical Oncology, vol. 18, no. 8, pp. 1689–1695, 2000. View at Google Scholar · View at Scopus
  2. W. A. Weber, V. Petersen, B. Schmidt et al., “Positron emission tomography in non-small-cell lung cancer: prediction of response to chemotherapy by quantitative assessment of glucose use,” Journal of Clinical Oncology, vol. 21, no. 14, pp. 2651–2657, 2003. View at Publisher · View at Google Scholar · View at Scopus
  3. N. Avril, S. Sassen, B. Schmalfeldt et al., “Prediction of response to neoadjuvant chemotherapy by sequential F-18-fluorodeoxyglucose positron emission tomography in patients with advanced-stage ovarian cancer,” Journal of Clinical Oncology, vol. 23, no. 30, pp. 7445–7453, 2005. View at Publisher · View at Google Scholar · View at Scopus
  4. E. Brun, E. Kjellén, J. Tennvall et al., “FDG pet studies during treatment: prediction of therapy outcome in head and neck squamous cell carcinoma,” Head and Neck, vol. 24, no. 2, pp. 127–135, 2002. View at Publisher · View at Google Scholar · View at Scopus
  5. C. Rousseau, A. Devillers, C. Sagan et al., “Monitoring of early response to neoadjuvant chemotherapy in stage II and III breast cancer by [18F]fluorodeoxyglucose positron emission tomography,” Journal of Clinical Oncology, vol. 24, no. 34, pp. 5366–5372, 2006. View at Publisher · View at Google Scholar · View at Scopus
  6. J. A. Maisonobe, C. A. Garcia, H. Necib et al., “Comparison of PET metabolic indices for the early assessment of tumour response in metastatic colorectal cancer patients treated by polychemotherapy,” The European Journal of Nuclear Medicine and Molecular Imaging, vol. 40, no. 2, pp. 166–174, 2013. View at Google Scholar
  7. K. Ott, W. A. Weber, F. Lordick et al., “Metabolic imaging predicts response, survival, and recurrence in adenocarcinomas of the esophagogastric junction,” Journal of Clinical Oncology, vol. 24, no. 29, pp. 4692–4698, 2006. View at Publisher · View at Google Scholar · View at Scopus
  8. W. A. Weber, K. Ott, K. Becker et al., “Prediction of response to preoperative chemotherapy in adenocarcinomas of the esophagogastric junction by metabolic imaging,” Journal of Clinical Oncology, vol. 19, no. 12, pp. 3058–3065, 2001. View at Google Scholar · View at Scopus
  9. H. A. Wieder, K. Ott, F. Lordick et al., “Prediction of tumor response by FDG-PET: comparison of the accuracy of single and sequential studies in patients with adenocarcinomas of the esophagogastric junction,” The European Journal of Nuclear Medicine and Molecular Imaging, vol. 34, no. 12, pp. 1925–1932, 2007. View at Publisher · View at Google Scholar · View at Scopus
  10. K. Ott, U. Fink, K. Becker et al., “Prediction of response to preoperative chemotherapy in gastric carcinoma by metabolic imaging: results of a prospective trial,” Journal of Clinical Oncology, vol. 21, no. 24, pp. 4604–4610, 2003. View at Publisher · View at Google Scholar · View at Scopus
  11. H. A. Wieder, B. L. D. M. Brücher, F. Zimmermann et al., “Time course of tumor metabolic activity during chemoradiotherapy of esophageal squamous cell carcinoma and response to treatment,” Journal of Clinical Oncology, vol. 22, no. 5, pp. 900–908, 2004. View at Publisher · View at Google Scholar · View at Scopus
  12. J. D. Schwarz, M. Bader, L. Jenicke, G. Hemminger, F. Jänicke, and N. Avril, “Early prediction of response to chemotherapy in metastatic breast cancer using sequential 18F-FDG PET,” Journal of Nuclear Medicine, vol. 46, no. 7, pp. 1144–1150, 2005. View at Google Scholar · View at Scopus
  13. S. Ben-Haim and P. Ell, “18F-FDG PET and PET/CT in the evaluation of cancer treatment response,” Journal of Nuclear Medicine, vol. 50, no. 1, pp. 88–99, 2009. View at Publisher · View at Google Scholar · View at Scopus
  14. M. E. Juweid and B. D. Cheson, “Positron-emission tomography and assessment of cancer therapy,” The New England Journal of Medicine, vol. 354, no. 5, pp. 496–507, 2006. View at Publisher · View at Google Scholar · View at Scopus
  15. W. A. Weber and R. Figlin, “Monitoring cancer treatment with PET/CT: does it make a difference?” Journal of Nuclear Medicine, vol. 48, supplement 1, pp. 36S–44S, 2007. View at Google Scholar · View at Scopus
  16. R. L. Wahl, H. Jacene, Y. Kasamon, and M. A. Lodge, “From RECIST to PERCIST: evolving considerations for PET response criteria in solid tumors,” Journal of Nuclear Medicine, vol. 50, no. 1, 2009. View at Publisher · View at Google Scholar · View at Scopus
  17. T. Beyer, J. Czernin, and L. S. Freudenberg, “Variations in clinical PET/CT operations: results of an international survey of active PET/CT users,” Journal of Nuclear Medicine, vol. 52, no. 2, pp. 303–310, 2011. View at Publisher · View at Google Scholar · View at Scopus
  18. R. Boellaard, N. C. Krak, O. S. Hoekstra, and A. A. Lammertsma, “Effects of noise, image resolution, and ROI definition on the accuracy of standard uptake values: a simulation study,” Journal of Nuclear Medicine, vol. 45, no. 9, pp. 1519–1527, 2004. View at Google Scholar · View at Scopus
  19. N. C. Krak, R. Boellaard, O. S. Hoekstra, J. W. R. Twisk, C. J. Hoekstra, and A. A. Lammertsma, “Effects of ROI definition and reconstruction method on quantitative outcome and applicability in a response monitoring trial,” The European Journal of Nuclear Medicine and Molecular Imaging, vol. 32, no. 3, pp. 294–301, 2005. View at Publisher · View at Google Scholar · View at Scopus
  20. H. Young, R. Baum, U. Cremerius et al., “Measurement of clinical and subclinical tumour response using [18F]-fluorodeoxyglucose and positron emission tomography: review and 1999 EORTC recommendations,” The European Journal of Cancer, vol. 35, no. 13, pp. 1773–1782, 1999. View at Publisher · View at Google Scholar · View at Scopus
  21. M. van Herk and H. M. Kooy, “Automatic three-dimensional correlation of CT-CT, CT-MRI, and CT-SPECT using chamfer matching,” Medical Physics, vol. 21, no. 7, pp. 1163–1178, 1994. View at Publisher · View at Google Scholar · View at Scopus
  22. J. L. Barker Jr., A. S. Garden, K. K. Ang et al., “Quantification of volumetric and geometric changes occurring during fractionated radiotherapy for head-and-neck cancer using an integrated CT/linear accelerator system,” International Journal of Radiation Oncology Biology Physics, vol. 59, no. 4, pp. 960–970, 2004. View at Publisher · View at Google Scholar · View at Scopus
  23. C. Lee, K. M. Langen, W. Lu et al., “Evaluation of geometric changes of parotid glands during head and neck cancer radiotherapy using daily MVCT and automatic deformable registration,” Radiotherapy and Oncology, vol. 89, no. 1, pp. 81–88, 2008. View at Publisher · View at Google Scholar · View at Scopus
  24. M. Vanderhoek, S. B. Perlman, and R. Jeraj, “Impact of the definition of peak standardized uptake value on quantification of treatment response,” Journal of Nuclear Medicine, vol. 53, no. 1, pp. 4–11, 2012. View at Google Scholar