Tumor volumes measured from static and dynamic 18F-fluoro-2-deoxy-D-glucose positron emission tomography-computed tomography scan: Comparison of different methods using magnetic resonance imaging as the criterion standard

Journal of Computer Assisted Tomography

Volumn 38, Issue 2, 2014, Pages 209-215

  Chen, Hanwei ^a,b   Jiang, Jinzhao ^c   Gao, Junling ^d   Liu, Dan ^d   Axelsson, Jan ^e   Cui, Minyi ^f   Gong, Nan Jie ^d   Feng, Shi Ting ^g   Luo, Liangping ^b   Huang, Bingsheng ^h,i  

^a Department of Respiratory Medicine   (China)

^b JINAN UNIVERSITY   (China)

^c PEKING UNIVERSITY   (China)

^d UNIVERSITY OF HONG KONG   (Hong Kong)

^e UMEÅ UNIVERSITY   (Sweden)

^f Guangzhou Key Laboratory of Basic and Applied Research of Oral Regenerative Medicine   (China)

^g SUN YAT SEN UNIVERSITY   (China)

^h SHENZHEN UNIVERSITY   (China)

ⁱ QUEEN MARY HOSPITAL   (Hong Kong)

Author keywords

Dynamic PET CT scan; Gradient based method; Head and neck cancer; Tumor volume

Indexed keywords

COMPUTERIZED TOMOGRAPHY; CORRELATION METHODS; DISEASES; ELECTRONS; MAGNETIC RESONANCE IMAGING; POSITRON EMISSION TOMOGRAPHY; POSITRONS;

COMPUTED TOMOGRAPHY IMAGES; COMPUTED TOMOGRAPHY SCAN; DYNAMIC POSITRON EMISSION TOMOGRAPHY-COMPUTED TOMOGRAPHY SCAN; FIXED THRESHOLD; GRADIENT-BASED METHOD; HEAD-AND-NECK CANCER; POSITRON EMISSION TOMOGRAPHY/COMPUTED TOMOGRAPHIES; STANDARDIZED UPTAKE VALUES; THRESHOLD METHODS; TUMOR VOLUMES;

TUMORS;

FLUORODEOXYGLUCOSE F 18;

ADULT; AGED; ARTICLE; CANCER SIZE; CLINICAL ARTICLE; COMPUTER ASSISTED EMISSION TOMOGRAPHY; CORRELATION COEFFICIENT; FEMALE; HEAD AND NECK CANCER; HUMAN; INTERMETHOD COMPARISON; MALE; MIDDLE AGED; NASOPHARYNX CARCINOMA; NUCLEAR MAGNETIC RESONANCE IMAGING; OROPHARYNX CANCER; PRIMARY TUMOR; PRIORITY JOURNAL;

ADULT; AGED; CONTRAST MEDIA; FEMALE; FLUORODEOXYGLUCOSE F18; HEAD AND NECK NEOPLASMS; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IOPAMIDOL; MALE; MIDDLE AGED; MULTIMODAL IMAGING; POSITRON-EMISSION TOMOGRAPHY; RADIOPHARMACEUTICALS; TOMOGRAPHY, X-RAY COMPUTED; TUMOR BURDEN;

EID: 84897057857     PISSN: 03638715     EISSN: 15323145     Source Type: Journal    
DOI: 10.1097/RCT.0000000000000017     Document Type: Article

References (27)

1. Spieth ME, Kasner DL. A tabulated summary of the FDG PET literature. J Nucl Med. 2002;43:441
2. Deniaud-Alexandre E, Touboul E, Lerouge D, et al. Impact of computed tomography and 18F-deoxyglucose coincidence detection emission tomography image fusion for optimization of conformal radiotherapy in non-small-cell lung cancer. Int J Radiat Oncol Biol Phys. 2005;63:1432-1441
3. Chiti A, Kirienko M, Gregoire V. Clinical use of PET-CT data for radiotherapy planning: What are we looking for? Radiother Oncol. 2010;96:277-279
4. Klopp AH, Chang JY, Tucker SL, et al. Intrathoracic patterns of failure for non-small-cell lung cancer with positron-emission tomography/ computed tomography-defined target delineation. Int J Radiat Oncol Biol Phys. 2007;69:1409-1416
5. Thorwarth D, Geets X, Paiusco M. Physical radiotherapy treatment planning based on functional PET/CT data. Radiother Oncol. 2010;96:317-324
6. Ciernik IF, Dizendorf E, Baumert BG, et al. Radiation treatment planning with an integrated positron emission and computer tomography (PET/CT): A feasibility study. Int J Radiat Oncol Biol Phys. 2003;57:853-863
7. Geets X, Lee JA, Bol A, et al. A gradient-based method for segmenting FDG-PET images: Methodology and validation. Eur J Nucl Med Mol Imaging. 2007;34:1427-1438
8. Wanet M, Lee JA, Weynand B, et al. Gradient-based delineation of the primary GTVon FDG-PET in non-small cell lung cancer: A comparison with threshold-based approaches, CT and surgical specimens. Radiother Oncol. 2011;98:117-125
9. Cheebsumon P, van Velden FH, Yaqub M, et al. Measurement of metabolic tumor volume: Static versus dynamic FDG scans. EJNMMI Res. 2011;1:35
10. Davison J, Mercier G, Russo G, et al. PET-based primary tumor volumetric parameters and survival of patients with non-small cell lung carcinoma. AJR Am J Roentgenol. 2013;200:635-640
11. Keyes JW Jr. SUV: Standard uptake or silly useless value? J Nucl Med. 1995;36:1836-1839
12. Patlak CS, Blasberg RG, Fenstermacher JD. Graphical evaluation of blood-to-brain transfer constants from multiple-time uptake data. J Cereb Blood Flow Metab. 1983;3:1-7
13. Feng ST, Cui M, Gao J, et al. Image-derived arterial input function in dynamic positron emission tomography-computed tomography: A method using both positron emission tomographic and computed tomographic images. J Comput Assist Tomogr. 2012;36:762-767
14. Hung GU, Wu IS, Lee HS, et al. Primary tumor volume measured by FDG PET and CT in nasopharyngeal carcinoma. Clin Nucl Med. 2011;36:447-451
15. Burri RJ, Rangaswamy B, Kostakoglu L, et al. Correlation of positron emission tomography standard uptake value and pathologic specimen size in cancer of the head and neck. Int J Radiat Oncol Biol Phys. 2008;71:682-688
16. Visser EP, Philippens ME, Kienhorst L, et al. Comparison of tumor volumes derived from glucose metabolic rate maps and SUV maps in dynamic 18F-FDG PET. J Nucl Med. 2008;49:892-898
17. Daisne JF, Duprez T, Weynand B, et al. Tumor volume in pharyngolaryngeal squamous cell carcinoma: Comparison at CT, MR imaging, and FDG PET and validation with surgical specimen. Radiology. 2004;233:93-100
18. Ma DJ, Zhu JM, Grigsby PW. Tumor volume discrepancies between FDG-PET and MRI for cervical cancer. Radiother Oncol. 2011;98:139-142
19. Olsen JR, Esthappan J, DeWees T, et al. Tumor volume and subvolume concordance between FDG-PET/CT and diffusion-weighted MRI for squamous cell carcinoma of the cervix. J Magn Reson Imaging. 2013;37:431-434
20. Erdi YE, Mawlawi O, Larson SM, et al. Segmentation of lung lesion volume by adaptive positron emission tomography image thresholding. Cancer. 1997;80:2505-2509
21. Miller TR, Grigsby PW. Measurement of tumor volume by PET to evaluate prognosis in patients with advanced cervical cancer treated by radiation therapy. Int J Radiat Oncol Biol Phys. 2002;53:353-359
22. Gordon AR, Loevner LA, Shukla-Dave A, et al. Intraobserver variability in the MR determination of tumor volume in squamous cell carcinoma of the pharynx. AJNR Am J Neuroradiol. 2004;25:1092-1098
23. Braendengen M, Hansson K, Radu C, et al. Delineation of gross tumor volume (GTV) for radiation treatment planning of locally advanced rectal cancer using information from MRI or FDG-PET/CT: A prospective study. Int J Radiat Oncol Biol Phys. 2011;81:e439-e445
24. Sundaram SK, Freedman NM, Carrasquillo JA, et al. Simplified kinetic analysis of tumor 18F-FDG uptake: A dynamic approach. J Nucl Med. 2004;45:1328-1333
25. Hapdey S, Buvat I, Carson JM, et al. Searching for alternatives to full kinetic analysis in 18F-FDG PET: An extension of the simplified kinetic analysis method. J Nucl Med. 2011;52:634-641
26. Murphy JD, Chisholm KM, Daly ME, et al. Correlation between metabolic tumor volume and pathologic tumor volume in squamous cell carcinoma of the oral cavity. Radiother Oncol. 2011;101:356-361
27. Edge SBB, Compton CC, Fritz AG, et al., eds. AJCC Cancer Staging Manual. 7th ed. New York, NY: Springer; 2010.