Browse > Article
http://dx.doi.org/10.3348/kjr.2013.14.1.1

Prognostic Significance of Volume-Based PET Parameters in Cancer Patients  

Moon, Seung Hwan (Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine)
Hyun, Seung Hyup (Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine)
Choi, Joon Young (Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine)
Publication Information
Korean Journal of Radiology / v.14, no.1, 2013 , pp. 1-12 More about this Journal
Abstract
Accurate prediction of cancer prognosis before the start of treatment is important since these predictions often affect the choice of treatment. Prognosis is usually based on anatomical staging and other clinical factors. However, the conventional system is not sufficient to accurately and reliably determine prognosis. Metabolic parameters measured by $^{18}F$-fluorodeoxyglucose (FDG) positron emission tomography (PET) have the potential to provide valuable information regarding prognosis and treatment response evaluation in cancer patients. Among these parameters, volume-based PET parameters such as metabolic tumor volume and total lesion glycolysis are especially promising. However, the measurement of these parameters is significantly affected by the imaging methodology and specific image characteristics, and a standard method for these parameters has not been established. This review introduces volume-based PET parameters as potential prognostic indicators, and highlights methodological considerations for measurement, potential implications, and prospects for further studies.
Keywords
Positron emission tomography; $^{18}F$-fluorodeoxyglucose; Metabolic tumor volume; Total lesion glycolysis; Prognosisrinogenesis;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Zhu, D, Ma, T, Niu, Z, Zheng, J, Han, A, Zhao, S,Prognostic significance of metabolic parameters measured by F-fluorodeoxyglucose positron emission tomography/computed tomography in patients with small cell lung cancer, Lung Cancer, 73, 62, 332-337(2011)   DOI
2 Akhurst, T, Ng, V, Larson, SM, O'Donoghue, JA, O'Neel, J, Erdi, Y,Tumor Burden Assessment with Positron Emission Tomography with, Clin Positron Imaging, 3, 54, 57-65(2000)   DOI
3 M O'BRIEN, Robert,A caution regarding rules of thumb for variance inflation factors, Qual Quant, 41, 55, 673-690(2007)   DOI
4 Chan, WK, Mak, HK, Huang, B, Yeung, DW, Kwong, DL, Khong, PL,Nasopharyngeal carcinoma: relationship between F-FDG PET-CT maximum standardized uptake value, metabolic tumour volume and total lesion glycolysis and TNM classification, Nucl Med Commun, 31, 56, 206-210(2010)   DOI
5 Chang, KP, Tsang, NM, Liao, CT, Hsu, CL, Chung, MJ, Lo, CW,Prognostic significance of F-FDG PET parameters and plasma Epstein-Barr virus DNA load in patients with nasopharyngeal carcinoma, J Nucl Med, 53, 57, 21-28(2012)   DOI
6 Gu, J, Khong, PL, Wang, S, Chan, Q, Law, W, Zhang, J,Quantitative assessment of diffusion-weighted MR imaging in patients with primary rectal cancer: correlation with FDG-PET/CT, Mol Imaging Biol, 13, 58, 1020-1028(2011)   DOI
7 Jansen, JF, Schöder, H, Lee, NY, Stambuk, HE, Wang, Y, Fury, MG,Tumor metabolism and perfusion in head and neck squamous cell carcinoma: pretreatment multimodality imaging with 1H magnetic resonance spectroscopy, dynamic contrast-enhanced MRI, and [F]FDG-PET, Int J Radiat Oncol Biol Phys, 82, 59, 299-307(2012)   DOI
8 Aboagye, EO, Bhujwalla, ZM,Malignant transformation alters membrane choline phospholipid metabolism of human mammary epithelial cells, Cancer Res, 59, 60, 80-84(1999)
9 Oh, JR, Seo, JH, Chong, A, Min, JJ, Song, HC, Kim, YC,Whole-body metabolic tumour volume of F-FDG PET/CT improves the prediction of prognosis in small cell lung cancer, Eur J Nucl Med Mol Imaging, 39, 61, 925-935(2012)   DOI
10 Brepoels, L, De Saint-Hubert, M, Stroobants, S, Verhoef, G, Balzarini, J, Mortelmans, L,Dose-response relationship in cyclophosphamide-treated B-cell lymphoma xenografts monitored with [F]FDG PET, Eur J Nucl Med Mol Imaging, 37, 47, 1688-1695(2010)   DOI
11 Melton, GB, Lavely, WC, Jacene, HA, Schulick, RD, Choti, MA, Wahl, RL,Efficacy of preoperative combined 18-fluorodeoxyglucose positron emission tomography and computed tomography for assessing primary rectal cancer response to neoadjuvant therapy, J Gastrointest Surg, 11, 48, 961-969(2007)   DOI
12 Im, HJ, Kim, TS, Park, SY, Min, HS, Kim, JH, Kang, HG,Prediction of tumour necrosis fractions using metabolic and volumetric F-FDG PET/CT indices, after one course and at the completion of neoadjuvant chemotherapy, in children and young adults with osteosarcoma, Eur J Nucl Med Mol Imaging, 39, 49, 39-49(2012)   DOI
13 Roedl, JB, Colen, RR, Holalkere, NS, Fischman, AJ, Choi, NC, Blake, MA,Adenocarcinomas of the esophagus: response to chemoradiotherapy is associated with decrease of metabolic tumor volume as measured on PET-CT. Comparison to histopathologic and clinical response evaluation, Radiother Oncol, 89, 50, 278-286(2008)   DOI
14 Arslan, N, Miller, TR, Dehdashti, F, Battafarano, RJ, Siegel, BA,Evaluation of response to neoadjuvant therapy by quantitative 2-deoxy-2-[F]fluoro-D-glucose with positron emission tomography in patients with esophageal cancer, Mol Imaging Biol, 4, 51, 301-310(2002)   DOI
15 Ruby, JA, Leibold, T, Akhurst, TJ, Shia, J, Saltz, LB, Mazumdar, M,FDG-PET assessment of rectal cancer response to neoadjuvant chemoradiotherapy is not associated with long-term prognosis: a prospective evaluation, Dis Colon Rectum, 55, 52, 378-386(2012)   DOI
16 Edet-Sanson, A, Dubray, B, Doyeux, K, Back, A, Hapdey, S, Modzelewski, R,Serial assessment of FDG-PET FDG uptake and functional volume during radiotherapy (RT) in patients with non-small cell lung cancer (NSCLC), Radiother Oncol, 102, 53, 251-257(2012)   DOI
17 Chung, HH, Kwon, HW, Kang, KW, Park, NH, Song, YS, Chung, JK,Prognostic value of preoperative metabolic tumor volume and total lesion glycolysis in patients with epithelial ovarian cancer, Ann Surg Oncol, 19, 39, 1966-1972(2012)   DOI
18 Kim, BS, Kim, IJ, Kim, SJ, Nam, NH, Park, KJ, Kim, K,The Prognostic value of the metabolic tumor volume in FIGO stage IA to IIB cervical cancer for tumor recurrence: measured by F-18 FDG PET/CT, Nucl Med Mol Imaging, 45, 40, 36-42(2011)   DOI
19 Schaefer, NG, Veit-Haibach, P, Soyka, JD, Steinert, HC, Stahel, RA,Continued pemetrexed and platin-based chemotherapy in patients with malignant pleural mesothelioma (MPM): value of F-FDG-PET/CT, Eur J Radiol, 81, 41, e19-e25(2012)   DOI
20 Costelloe, CM, Macapinlac, HA, Madewell, JE, Fitzgerald, NE, Mawlawi, OR, Rohren, EM,F-FDG PET/CT as an indicator of progression-free and overall survival in osteosarcoma, J Nucl Med, 50, 42, 340-347(2009)   DOI
21 Kiyohara, S, Nagamachi, S, Wakamatsu, H, Nishii, R, Fujita, S, Futami, S,[Usefulness of metabolic volume and total lesion glycolysis for predicting therapeutic response in cancer therapy by F-FDG PET/CT], Kaku Igaku, 47, 46, 453-461(2010)
22 Yoo, J, Choi, JY, Lee, KT, Heo, JS, Park, SB, Moon, SH,Prognostic significance of volume-based metabolic parameters by F-FDG PET/CT in gallbladder carcinoma, Nucl Med Mol Imaging, 46, 43, 201-206(2012)   DOI
23 Lee, HY, Hyun, SH, Lee, KS, Kim, BT, Kim, J, Shim, YM,Volume-based parameter of F-FDG PET/CT in malignant pleural mesothelioma: prediction of therapeutic response and prognostic implications, Ann Surg Oncol, 17, 44, 2787-2794(2010)   DOI
24 Kang, H, Lee, HY, Lee, KS, Kim, JH,Imaging-based tumor treatment response evaluation: review of conventional, new, and emerging concepts, Korean J Radiol, 13, 45, 371-390(2012)   DOI
25 Liao, S, Penney, BC, Wroblewski, K, Zhang, H, Simon, CA, Kampalath, R,Prognostic value of metabolic tumor burden on F-FDG PET in nonsurgical patients with non-small cell lung cancer, Eur J Nucl Med Mol Imaging, 39, 31, 27-38(2012)   DOI
26 Chan, SC, Chang, JT, Lin, CY, Ng, SH, Wang, HM, Liao, CT,Clinical utility of F-FDG PET parameters in patients with advanced nasopharyngeal carcinoma: predictive role for different survival endpoints and impact on prognostic stratification, Nucl Med Commun, 32, 32, 989-996(2011)   DOI
27 Chu, KP, Murphy, JD, La, TH, Krakow, TE, Iagaru, A, Graves, EE,Prognostic value of metabolic tumor volume and velocity in predicting head-and-neck cancer outcomes, Int J Radiat Oncol Biol Phys, 83, 33, 1521-1527(2012)   DOI
28 La, TH, Filion, EJ, Turnbull, BB, Chu, JN, Lee, P, Nguyen, K,Metabolic tumor volume predicts for recurrence and death in head-and-neck cancer, Int J Radiat Oncol Biol Phys, 74, 34, 1335-1341(2009)   DOI
29 Xie, P, Yue, JB, Zhao, HX, Sun, XD, Kong, L, Fu, Z,Prognostic value of F-FDG PET-CT metabolic index for nasopharyngeal carcinoma, J Cancer Res Clin Oncol, 136, 35, 883-889(2010)   DOI
30 Choi, KH, Yoo, IR, Han, EJ, Kim, YS,Prognostic Value of Metabolic Tumor Volume Measured by F-FDG PET/CT in Locally Advanced Head and Neck Squamous Cell Carcinomas Treated by Surgery, Nucl Med Mol Imaging, 45, 36, 43-51(2011)   DOI
31 Cheebsumon, P, van Velden, FH, Yaqub, M, Frings, V, de Langen, AJ, Hoekstra, OS,Effects of image characteristics on performance of tumor delineation methods: a test-retest assessment, J Nucl Med, 52, 24, 1550-1558(2011)   DOI
32 Guillem, JG, Moore, HG, Akhurst, T, Klimstra, DS, Ruo, L, Mazumdar, M,Sequential preoperative fluorodeoxyglucose-positron emission tomography assessment of response to preoperative chemoradiation: a means for determining longterm outcomes of rectal cancer, J Am Coll Surg, 199, 37, 1-7(2004)
33 Gulec, SA, Suthar, RR, Barot, TC, Pennington, K,The prognostic value of functional tumor volume and total lesion glycolysis in patients with colorectal cancer liver metastases undergoing Y selective internal radiation therapy plus chemotherapy, Eur J Nucl Med Mol Imaging, 38, 38, 1289-1295(2011)   DOI
34 Hatt, M, Visvikis, D, Albarghach, NM, Tixier, F, Pradier, O, Cheze-le Rest, C,Prognostic value of F-FDG PET image-based parameters in oesophageal cancer and impact of tumour delineation methodology, Eur J Nucl Med Mol Imaging, 38, 23, 1191-1202(2011)   DOI
35 Kim, K, Kim, SJ, Kim, IJ, Kim, YS, Pak, K, Kim, H,Prognostic value of volumetric parameters measured by F-18 FDG PET/CT in surgically resected non-small-cell lung cancer, Nucl Med Commun, 33, 25, 613-620(2012)   DOI
36 Daisne, JF, Sibomana, M, Bol, A, Doumont, T, Lonneux, M, Grégoire, V,Tri-dimensional automatic segmentation of PET volumes based on measured source-to-background ratios: influence of reconstruction algorithms, Radiother Oncol, 69, 26, 247-250(2003)   DOI
37 Hatt, M, Le Pogam, A, Visvikis, D, Pradier, O, Cheze Le Rest, C,Impact of partial-volume effect correction on the predictive and prognostic value of baseline F-FDG PET images in esophageal cancer, J Nucl Med, 53, 27, 12-20(2012)   DOI
38 Nehmeh, SA, Erdi, YE, Ling, CC, Rosenzweig, KE, Schoder, H, Larson, SM,Effect of respiratory gating on quantifying PET images of lung cancer, J Nucl Med, 43, 28, 876-881(2002)
39 Cheebsumon, P, van Velden, FH, Yaqub, M, Hoekstra, CJ, Velasquez, LM, Hayes, W,Measurement of metabolic tumor volume: static versus dynamic FDG scans, EJNMMI Res, 1, 29, 35(2011)   DOI
40 Arslan, N, Tuncel, M, Kuzhan, O, Alagoz, E, Budakoglu, B, Ozet, A,Evaluation of outcome prediction and disease extension by quantitative 2-deoxy-2-F fluoro-D-glucose with positron emission tomography in patients with small cell lung cancer, Ann Nucl Med, 25, 30, 406-413(2011)   DOI
41 Zhong, X, Yu, J, Zhang, B, Mu, D, Zhang, W, Li, D,Using F-fluorodeoxyglucose positron emission tomography to estimate the length of gross tumor in patients with squamous cell carcinoma of the esophagus, Int J Radiat Oncol Biol Phys, 73, 16, 136-141(2009)   DOI
42 Hyun, SH, Choi, JY, Shim, YM, Kim, K, Lee, SJ, Cho, YS,Prognostic value of metabolic tumor volume measured by F-fluorodeoxyglucose positron emission tomography in patients with esophageal carcinoma, Ann Surg Oncol, 17, 17, 115-122(2010)   DOI
43 Cheebsumon, P, Yaqub, M, van Velden, FH, Hoekstra, OS, Lammertsma, AA, Boellaard, R,Impact of [F]FDG PET imaging parameters on automatic tumour delineation: need for improved tumour delineation methodology, Eur J Nucl Med Mol Imaging, 38, 18, 2136-2144(2011)   DOI
44 Meng, X, Sun, X, Mu, D, Xing, L, Ma, L, Zhang, B,Noninvasive evaluation of microscopic tumor extensions using standardized uptake value and metabolic tumor volume in non-small-cell lung cancer, Int J Radiat Oncol Biol Phys, 82, 19, 960-966(2012)   DOI
45 Juweid, ME, Stroobants, S, Hoekstra, OS, Mottaghy, FM, Dietlein, M, Guermazi, A,Use of positron emission tomography for response assessment of lymphoma: consensus of the Imaging Subcommittee of International Harmonization Project in Lymphoma, J Clin Oncol, 25, 20, 571-578(2007)   DOI
46 Le Roux, PY, Gastinne, T, Le Gouill, S, Nowak, E, Bodet-Milin, C, Querellou, S,Prognostic value of interim FDG PET/CT in Hodgkin's lymphoma patients treated with interim response-adapted strategy: comparison of International Harmonization Project (IHP), Gallamini and London criteria, Eur J Nucl Med Mol Imaging, 38, 21, 1064-1071(2011)   DOI
47 de Jong, PA, van Ufford, HM, Baarslag, HJ, de Haas, MJ, Wittebol, SH, Quekel, LG,CT and F-FDG PET for noninvasive detection of splenic involvement in patients with malignant lymphoma, AJR Am J Roentgenol, 192, 22, 745-753(2009)   DOI
48 Takes, RP, Rinaldo, A, Silver, CE, Piccirillo, JF, Haigentz, M, Suárez, C,Future of the TNM classification and staging system in head and neck cancer, Head Neck, 32, 1, 1693-1711(2010)   DOI
49 Mirsadraee, S, Oswal, D, Alizadeh, Y, Caulo, A, van Beek, E,The 7th lung cancer TNM classification and staging system: Review of the changes and implications, World J Radiol, 4, 3, 128-134(2012)
50 Lee, P, Weerasuriya, DK, Lavori, PW, Quon, A, Hara, W, Maxim, PG,Metabolic tumor burden predicts for disease progression and death in lung cancer, Int J Radiat Oncol Biol Phys, 69, 2, 328-333(2007)   DOI
51 Walters, TK, Zuckerman, J, Nisbet-Smith, A, Hudson, E, Chia, Y, Burke, M,Fine needle aspiration biopsy in the diagnosis and management of fibroadenoma of the breast, Br J Surg, 77, 4, 1215-1217(1990)   DOI
52 Chun, YH, Kim, SU, Park, JY, Y Kim, do, Han, KH, Chon, CY,Prognostic value of the 7th edition of the AJCC staging system as a clinical staging system in patients with hepatocellular carcinoma, Eur J Cancer, 47, 5, 2568-2575(2011)   DOI
53 Soret, M, Bacharach, SL, Buvat, I,Partial-volume effect in PET tumor imaging, J Nucl Med, 48, 6, 932-945(2007)   DOI
54 Vanderhoek, M, Perlman, SB, Jeraj, R,Impact of the definition of peak standardized uptake value on quantification of treatment response, J Nucl Med, 53, 7, 4-11(2012)   DOI
55 Larson, SM, Erdi, Y, Akhurst, T, Mazumdar, M, Macapinlac, HA, Finn, RD,Tumor Treatment Response Based on Visual and Quantitative Changes in Global Tumor Glycolysis Using PET-FDG Imaging. The Visual Response Score and the Change in Total Lesion Glycolysis, Clin Positron Imaging, 2, 8, 159-171(1999)   DOI
56 Moon, SH, Choi, JY, Lee, HJ, Son, YI, Baek, CH, Ahn, YC,Prognostic value of F-FDG PET/CT in patients with squamous cell carcinoma of the tonsil: Comparisons of volume-based metabolic parameters, Head Neck, , 9, (2012)
57 Geets, X, Lee, JA, Bol, A, Lonneux, M, Gregoire, V,A gradient-based method for segmenting FDG-PET images: methodology and validation, Eur J Nucl Med Mol Imaging, 34, 10, 1427-1438(2007)   DOI
58 Schaefer, A, Kremp, S, Hellwig, D, Rube, C, Kirsch, CM, Nestle, U,A contrast-oriented algorithm for FDG-PET-based delineation of tumour volumes for the radiotherapy of lung cancer: derivation from phantom measurements and validation in patient data, Eur J Nucl Med Mol Imaging, 35, 11, 1989-1999(2008)   DOI
59 Boellaard, R, Krak, NC, Hoekstra, OS, Lammertsma, AA,Effects of noise, image resolution, and ROI definition on the accuracy of standard uptake values: a simulation study, J Nucl Med, 45, 13, 1519-1527(2004)
60 van Dalen, JA, Hoffmann, AL, Dicken, V, Vogel, WV, Wiering, B, Ruers, TJ,A novel iterative method for lesion delineation and volumetric quantification with FDG PET, Nucl Med Commun, 28, 12, 485-493(2007)   DOI
61 Paulino, AC, Koshy, M, Howell, R, Schuster, D, Davis, LW,Comparison of CT- and FDG-PET-defined gross tumor volume in intensity-modulated radiotherapy for head-and-neck cancer, Int J Radiat Oncol Biol Phys, 61, 14, 1385-1392(2005)   DOI
62 MacManus, M, Nestle, U, Rosenzweig, KE, Carrio, I, Messa, C, Belohlavek, O,Use of PET and PET/CT for radiation therapy planning: IAEA expert report 2006-2007, Radiother Oncol, 91, 15, 85-94(2009)   DOI