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Shagera QA, Cheon GJ, Koh Y, Yoo MY, Kang KW, Lee DS, Kim EE, Yoon SS, Chung JK. Prognostic value of metabolic tumour volume on baseline 18F-FDG PET/CT in addition to NCCN-IPI in patients with diffuse large B-cell lymphoma: further stratification of the group with a high-risk NCCN-IPI. Eur J Nucl Med Mol Imaging 2019; 46:1417-1427. [PMID: 30941463 DOI: 10.1007/s00259-019-04309-4] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2018] [Accepted: 03/07/2019] [Indexed: 01/08/2023]
Abstract
PURPOSE The purpose of this study was to determine the prognostic value of metabolic volumetric parameters as a quantitative index on pre-treatment 18F-FDG PET/CT in addition to the National Comprehensive Cancer Network International Prognostic Index (NCCN-IPI) in patients with diffuse large B-cell lymphoma (DLBCL). METHODS A total of 103 consecutive patients with DLBCL and baseline FDG PET/CT were retrospectively evaluated. Quantitative metabolic parameters, including total metabolic tumour volume (TMTV) using a standardized uptake value (SUV) of ≥2.5 as the threshold, were estimated. Receiver operating characteristic curve analysis was used to determine the optimal cut-off values for the metabolic parameters. The relationships between study variables and patient survival were tested using Cox regression analysis. Patient survival rates were derived from Kaplan-Meier curves and compared using the log-rank test. RESULTS Median follow-up was 34 months. In patients with a low TMTV (<249 cm3), the 3-year progression free survival (PFS) rate was 83% and the overall survival (OS) rate was 92%, in contrast to 41% and 57%, respectively, in those with a high TMTV (≥249 cm3). In univariate analysis, a high TMTV and NCCN-IPI ≥4 were associated with inferior PFS and OS (P < 0.0001 for all), as was a high total lesion glycolysis (P = 0.004 and P = 0.005, respectively). In multivariate analysis, TMTV and NCCN-IPI were independent predictors of PFS (hazard ratio, HR, 3.11, 95% confidence interval, CI, 1.37-7.07, P = 0.007, and HR 3.42, 95% CI 1.36-8.59, P = 0.009, respectively) and OS (HR 3.41, 95% CI 1.24-9.38, P = 0.017, and HR 5.06, 95% CI 1.46-17.60, P = 0.014, respectively). TMTV was able to separate patients with a high-risk NCCN-IPI of ≥4 (n = 62) into two groups with significantly different outcomes; patients with low TMTV (n = 16) had a 3-year PFS rate of 75% and an OS rate of 88%, while those with a high TMTV had a 3-year PFS rate of 32% and an OS rate of 47% (χ2 = 7.92, P = 0.005, and χ2 = 8.26, P = 0.004, respectively). However, regardless of TMTV, patients with a low-risk NCCN-IPI of <4 (n = 41) had excellent outcomes (3-year PFS and OS rates of 85% and 95%, respectively). CONCLUSION Pretreatment TMTV was an independent predictor of survival in patients with DLBCL. Importantly, TMTV had an additive prognostic value in patients with a high-risk NCCN-IPI. Thus, the combination of baseline TMTV with NCCN-IPI may improve the prognostication and may be helpful guide the decision for intensive therapy and clinical trials, especially in DLBCL patients with a high-risk NCCN-IPI.
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Affiliation(s)
- Qaid Ahmed Shagera
- Department of Nuclear Medicine, Seoul National University, College of Medicine, Daehangro 101, Jongno-gu, Seoul, 03080, South Korea.,Department of Nuclear Medicine, Althawrah Modern General Hospital, Sana'a, Yemen
| | - Gi Jeong Cheon
- Department of Nuclear Medicine, Seoul National University, College of Medicine, Daehangro 101, Jongno-gu, Seoul, 03080, South Korea. .,Department of Nuclear Medicine, Seoul National University Hospital, Seoul, South Korea. .,Cancer Research Institute and Radiation Medicine Institute, Seoul National University, Seoul, South Korea.
| | - Youngil Koh
- Cancer Research Institute and Radiation Medicine Institute, Seoul National University, Seoul, South Korea.,Division of Hematology/Medical Oncology, Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Min Young Yoo
- Department of Nuclear Medicine, Seoul National University, College of Medicine, Daehangro 101, Jongno-gu, Seoul, 03080, South Korea.,Department of Nuclear Medicine, Chungbuk National University Hospital, Cheongju, South Korea
| | - Keon Wook Kang
- Department of Nuclear Medicine, Seoul National University, College of Medicine, Daehangro 101, Jongno-gu, Seoul, 03080, South Korea.,Department of Nuclear Medicine, Seoul National University Hospital, Seoul, South Korea.,Cancer Research Institute and Radiation Medicine Institute, Seoul National University, Seoul, South Korea
| | - Dong Soo Lee
- Department of Nuclear Medicine, Seoul National University, College of Medicine, Daehangro 101, Jongno-gu, Seoul, 03080, South Korea.,Department of Nuclear Medicine, Seoul National University Hospital, Seoul, South Korea
| | - E Edmund Kim
- Department of Nuclear Medicine, Seoul National University, College of Medicine, Daehangro 101, Jongno-gu, Seoul, 03080, South Korea.,Department of Radiological Sciences, University of California, Irvine, CA, USA
| | - Sung-Soo Yoon
- Cancer Research Institute and Radiation Medicine Institute, Seoul National University, Seoul, South Korea.,Division of Hematology/Medical Oncology, Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
| | - June-Key Chung
- Department of Nuclear Medicine, Seoul National University, College of Medicine, Daehangro 101, Jongno-gu, Seoul, 03080, South Korea.,Department of Nuclear Medicine, Seoul National University Hospital, Seoul, South Korea.,Cancer Research Institute and Radiation Medicine Institute, Seoul National University, Seoul, South Korea
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Im HJ, Bradshaw T, Solaiyappan M, Cho SY. Current Methods to Define Metabolic Tumor Volume in Positron Emission Tomography: Which One is Better? Nucl Med Mol Imaging 2017; 52:5-15. [PMID: 29391907 DOI: 10.1007/s13139-017-0493-6] [Citation(s) in RCA: 154] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2017] [Revised: 08/17/2017] [Accepted: 08/28/2017] [Indexed: 12/22/2022] Open
Abstract
Numerous methods to segment tumors using 18F-fluorodeoxyglucose positron emission tomography (FDG PET) have been introduced. Metabolic tumor volume (MTV) refers to the metabolically active volume of the tumor segmented using FDG PET, and has been shown to be useful in predicting patient outcome and in assessing treatment response. Also, tumor segmentation using FDG PET has useful applications in radiotherapy treatment planning. Despite extensive research on MTV showing promising results, MTV is not used in standard clinical practice yet, mainly because there is no consensus on the optimal method to segment tumors in FDG PET images. In this review, we discuss currently available methods to measure MTV using FDG PET, and assess the advantages and disadvantages of the methods.
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Affiliation(s)
- Hyung-Jun Im
- 1Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI USA.,2Department of Transdisciplinary Studies, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, South Korea
| | - Tyler Bradshaw
- 1Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI USA
| | - Meiyappan Solaiyappan
- 3Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD USA
| | - Steve Y Cho
- 1Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI USA.,3Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD USA.,4University of Wisconsin Carbone Cancer Center, Madison, WI USA
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