Cargando…
Baseline Total Metabolic Tumor Volume and Total Lesion Glycolysis Measured on (18)F-FDG PET-CT Predict Outcomes in T-Cell Lymphoblastic Lymphoma
PURPOSE: There is no optimal prognostic model for T-cell lymphoblastic lymphoma (T-LBL). Here, we discussed the predictive value of total metabolic tumor volume (TMTV) and total lesion glycolysis (TLG) measured on (18)F-fluorodeoxyglucose positron emission tomography–computed tomography (PET-CT) in...
Autores principales: | , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Cancer Association
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8291183/ https://www.ncbi.nlm.nih.gov/pubmed/33285054 http://dx.doi.org/10.4143/crt.2020.123 |
_version_ | 1783724599154835456 |
---|---|
author | Feng, Xiaoyan Wen, Xin Li, Ling Sun, Zhenchang Li, Xin Zhang, Lei Wu, Jingjing Fu, Xiaorui Wang, Xinhua Yu, Hui Ma, Xinran Zhang, Xudong Xie, Xinli Han, Xingmin Zhang, Mingzhi |
author_facet | Feng, Xiaoyan Wen, Xin Li, Ling Sun, Zhenchang Li, Xin Zhang, Lei Wu, Jingjing Fu, Xiaorui Wang, Xinhua Yu, Hui Ma, Xinran Zhang, Xudong Xie, Xinli Han, Xingmin Zhang, Mingzhi |
author_sort | Feng, Xiaoyan |
collection | PubMed |
description | PURPOSE: There is no optimal prognostic model for T-cell lymphoblastic lymphoma (T-LBL). Here, we discussed the predictive value of total metabolic tumor volume (TMTV) and total lesion glycolysis (TLG) measured on (18)F-fluorodeoxyglucose positron emission tomography–computed tomography (PET-CT) in T-LBL. MATERIALS AND METHODS: Thirty-seven treatment naïve T-LBL patients with PET-CT scans were enrolled. TMTV was obtained using the 41% maximum standardized uptake value (SUVmax) threshold method, and TLG was measured as metabolic tumor volume multiplied by the mean SUV. Progression-free survival (PFS) and overall survival (OS) were analyzed by Kaplan-Meier curves and compared by the log-rank test. RESULTS: The optimal cutoff values for SUVmax, TMTV, and TLG were 12.7, 302 cm(3), and 890, respectively. A high SUVmax, TMTV, and TLG indicated a shorten PFS and OS. On multivariable analysis, TMTV ≥ 302 cm(3), and central nervous system (CNS) involvement predicted inferior PFS, while high SUVmax, TLG and CNS involvement were associated with worse OS. Subsequently, we generated a risk model comprising high SUVmax, TMTV or TLG and CNS involvement, which stratified the population into three risk groups, which had significantly different median PFS of not reached, 14 months, and 7 months for low-risk group, mediate-risk group, and high-risk group, respectively (p < 0.001). Median OS were not reached, 27 months, and 13 months, respectively (p < 0.001). CONCLUSION: Baseline SUVmax, TMTV, and TLG measured on PET-CT are strong predictors of worse outcome in T-LBL. A risk model integrating these three parameters with CNS involvement identifies patients at high risk of disease progression. |
format | Online Article Text |
id | pubmed-8291183 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Korean Cancer Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-82911832021-08-04 Baseline Total Metabolic Tumor Volume and Total Lesion Glycolysis Measured on (18)F-FDG PET-CT Predict Outcomes in T-Cell Lymphoblastic Lymphoma Feng, Xiaoyan Wen, Xin Li, Ling Sun, Zhenchang Li, Xin Zhang, Lei Wu, Jingjing Fu, Xiaorui Wang, Xinhua Yu, Hui Ma, Xinran Zhang, Xudong Xie, Xinli Han, Xingmin Zhang, Mingzhi Cancer Res Treat Original Article PURPOSE: There is no optimal prognostic model for T-cell lymphoblastic lymphoma (T-LBL). Here, we discussed the predictive value of total metabolic tumor volume (TMTV) and total lesion glycolysis (TLG) measured on (18)F-fluorodeoxyglucose positron emission tomography–computed tomography (PET-CT) in T-LBL. MATERIALS AND METHODS: Thirty-seven treatment naïve T-LBL patients with PET-CT scans were enrolled. TMTV was obtained using the 41% maximum standardized uptake value (SUVmax) threshold method, and TLG was measured as metabolic tumor volume multiplied by the mean SUV. Progression-free survival (PFS) and overall survival (OS) were analyzed by Kaplan-Meier curves and compared by the log-rank test. RESULTS: The optimal cutoff values for SUVmax, TMTV, and TLG were 12.7, 302 cm(3), and 890, respectively. A high SUVmax, TMTV, and TLG indicated a shorten PFS and OS. On multivariable analysis, TMTV ≥ 302 cm(3), and central nervous system (CNS) involvement predicted inferior PFS, while high SUVmax, TLG and CNS involvement were associated with worse OS. Subsequently, we generated a risk model comprising high SUVmax, TMTV or TLG and CNS involvement, which stratified the population into three risk groups, which had significantly different median PFS of not reached, 14 months, and 7 months for low-risk group, mediate-risk group, and high-risk group, respectively (p < 0.001). Median OS were not reached, 27 months, and 13 months, respectively (p < 0.001). CONCLUSION: Baseline SUVmax, TMTV, and TLG measured on PET-CT are strong predictors of worse outcome in T-LBL. A risk model integrating these three parameters with CNS involvement identifies patients at high risk of disease progression. Korean Cancer Association 2021-07 2020-12-02 /pmc/articles/PMC8291183/ /pubmed/33285054 http://dx.doi.org/10.4143/crt.2020.123 Text en Copyright © 2021 by the Korean Cancer Association https://creativecommons.org/licenses/by-nc/4.0/This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Feng, Xiaoyan Wen, Xin Li, Ling Sun, Zhenchang Li, Xin Zhang, Lei Wu, Jingjing Fu, Xiaorui Wang, Xinhua Yu, Hui Ma, Xinran Zhang, Xudong Xie, Xinli Han, Xingmin Zhang, Mingzhi Baseline Total Metabolic Tumor Volume and Total Lesion Glycolysis Measured on (18)F-FDG PET-CT Predict Outcomes in T-Cell Lymphoblastic Lymphoma |
title | Baseline Total Metabolic Tumor Volume and Total Lesion Glycolysis Measured on (18)F-FDG PET-CT Predict Outcomes in T-Cell Lymphoblastic Lymphoma |
title_full | Baseline Total Metabolic Tumor Volume and Total Lesion Glycolysis Measured on (18)F-FDG PET-CT Predict Outcomes in T-Cell Lymphoblastic Lymphoma |
title_fullStr | Baseline Total Metabolic Tumor Volume and Total Lesion Glycolysis Measured on (18)F-FDG PET-CT Predict Outcomes in T-Cell Lymphoblastic Lymphoma |
title_full_unstemmed | Baseline Total Metabolic Tumor Volume and Total Lesion Glycolysis Measured on (18)F-FDG PET-CT Predict Outcomes in T-Cell Lymphoblastic Lymphoma |
title_short | Baseline Total Metabolic Tumor Volume and Total Lesion Glycolysis Measured on (18)F-FDG PET-CT Predict Outcomes in T-Cell Lymphoblastic Lymphoma |
title_sort | baseline total metabolic tumor volume and total lesion glycolysis measured on (18)f-fdg pet-ct predict outcomes in t-cell lymphoblastic lymphoma |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8291183/ https://www.ncbi.nlm.nih.gov/pubmed/33285054 http://dx.doi.org/10.4143/crt.2020.123 |
work_keys_str_mv | AT fengxiaoyan baselinetotalmetabolictumorvolumeandtotallesionglycolysismeasuredon18ffdgpetctpredictoutcomesintcelllymphoblasticlymphoma AT wenxin baselinetotalmetabolictumorvolumeandtotallesionglycolysismeasuredon18ffdgpetctpredictoutcomesintcelllymphoblasticlymphoma AT liling baselinetotalmetabolictumorvolumeandtotallesionglycolysismeasuredon18ffdgpetctpredictoutcomesintcelllymphoblasticlymphoma AT sunzhenchang baselinetotalmetabolictumorvolumeandtotallesionglycolysismeasuredon18ffdgpetctpredictoutcomesintcelllymphoblasticlymphoma AT lixin baselinetotalmetabolictumorvolumeandtotallesionglycolysismeasuredon18ffdgpetctpredictoutcomesintcelllymphoblasticlymphoma AT zhanglei baselinetotalmetabolictumorvolumeandtotallesionglycolysismeasuredon18ffdgpetctpredictoutcomesintcelllymphoblasticlymphoma AT wujingjing baselinetotalmetabolictumorvolumeandtotallesionglycolysismeasuredon18ffdgpetctpredictoutcomesintcelllymphoblasticlymphoma AT fuxiaorui baselinetotalmetabolictumorvolumeandtotallesionglycolysismeasuredon18ffdgpetctpredictoutcomesintcelllymphoblasticlymphoma AT wangxinhua baselinetotalmetabolictumorvolumeandtotallesionglycolysismeasuredon18ffdgpetctpredictoutcomesintcelllymphoblasticlymphoma AT yuhui baselinetotalmetabolictumorvolumeandtotallesionglycolysismeasuredon18ffdgpetctpredictoutcomesintcelllymphoblasticlymphoma AT maxinran baselinetotalmetabolictumorvolumeandtotallesionglycolysismeasuredon18ffdgpetctpredictoutcomesintcelllymphoblasticlymphoma AT zhangxudong baselinetotalmetabolictumorvolumeandtotallesionglycolysismeasuredon18ffdgpetctpredictoutcomesintcelllymphoblasticlymphoma AT xiexinli baselinetotalmetabolictumorvolumeandtotallesionglycolysismeasuredon18ffdgpetctpredictoutcomesintcelllymphoblasticlymphoma AT hanxingmin baselinetotalmetabolictumorvolumeandtotallesionglycolysismeasuredon18ffdgpetctpredictoutcomesintcelllymphoblasticlymphoma AT zhangmingzhi baselinetotalmetabolictumorvolumeandtotallesionglycolysismeasuredon18ffdgpetctpredictoutcomesintcelllymphoblasticlymphoma |