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Pretreatment Metabolic Parameters Measured by (18)F-FDG PET to Predict the Pathological Treatment Response of HCC Patients Treated With PD-1 Inhibitors and Lenvatinib as a Conversion Therapy in BCLC Stage C
OBJECTIVES: This study aimed to assess the pretreatment (18)F-fluorodeoxyglucose positron emission tomography/computed tomography ((18)F-FDG PET/CT) as a predictor of the pathological treatment response (PTR) of hepatocellular carcinoma (HCC) patients treated with PD-1 inhibitors and lenvatinib as a...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9204225/ https://www.ncbi.nlm.nih.gov/pubmed/35719917 http://dx.doi.org/10.3389/fonc.2022.884372 |
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author | Wang, Guanyun Zhang, Wenwen Chen, Jiaxin Luan, Xiaohui Wang, Zhanbo Wang, Yanmei Xu, Xiaodan Yao, Shulin Guan, Zhiwei Tian, Jiahe Lu, Shichun Xu, Baixuan Ma, Guangyu |
author_facet | Wang, Guanyun Zhang, Wenwen Chen, Jiaxin Luan, Xiaohui Wang, Zhanbo Wang, Yanmei Xu, Xiaodan Yao, Shulin Guan, Zhiwei Tian, Jiahe Lu, Shichun Xu, Baixuan Ma, Guangyu |
author_sort | Wang, Guanyun |
collection | PubMed |
description | OBJECTIVES: This study aimed to assess the pretreatment (18)F-fluorodeoxyglucose positron emission tomography/computed tomography ((18)F-FDG PET/CT) as a predictor of the pathological treatment response (PTR) of hepatocellular carcinoma (HCC) patients treated with PD-1 inhibitors and lenvatinib as a conversion therapy in BCLC stage C. METHODS: All patients (n=20) underwent pretreatment (18)F-FDG PET/CT and were treated with conversion therapy and surgery. Patients were categorized into responders (n=9) and non-responders (n=11) according to PTR. The parameters of PET/CT, including lesion size, SUVmean (mean standard uptake value), MTV (metabolic tumor volume), TLG (total lesion glycolysis), SUVpeak (peak standard uptake value), and TLR (tumor-to-normal liver standardized uptake value ratio), were calculated. The diagnostic efficacy was evaluated by receiver operating characteristic analysis (ROC). PTR was compared with pretreatment PET/CT parameters by using Spearman correlation analysis. The patients were followed up. RESULTS: There was significant difference in TLR (5.59 ± 1.90 vs. 2.84 ± 1.70, respectively; P=0.003) between responders and non-responders, with the largest area under the curve (sensitivity=100%, specificity=72.7%, AUC=0.899, 95%CI: 0.759-1.000, optimal diagnostic threshold of 3.09). The relationship between (18)F-FDG PET/CT parameters and PTR indicated TLR was moderately and positively correlated with pathological treatment response, with correlation coefficients (rs) of 0.69 (P<0.01). During the follow-up, no patients died, and tumor recurrence was found in one of the responders (11.1%). In all 11 non-responders, tumor recurrence was found in six patients (54.5%) and four patients (36.4%) died. CONCLUSIONS: TLR may be a powerful marker to predict PTR of HCC patients with BCLC stage C who were treated with conversion therapy. |
format | Online Article Text |
id | pubmed-9204225 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92042252022-06-18 Pretreatment Metabolic Parameters Measured by (18)F-FDG PET to Predict the Pathological Treatment Response of HCC Patients Treated With PD-1 Inhibitors and Lenvatinib as a Conversion Therapy in BCLC Stage C Wang, Guanyun Zhang, Wenwen Chen, Jiaxin Luan, Xiaohui Wang, Zhanbo Wang, Yanmei Xu, Xiaodan Yao, Shulin Guan, Zhiwei Tian, Jiahe Lu, Shichun Xu, Baixuan Ma, Guangyu Front Oncol Oncology OBJECTIVES: This study aimed to assess the pretreatment (18)F-fluorodeoxyglucose positron emission tomography/computed tomography ((18)F-FDG PET/CT) as a predictor of the pathological treatment response (PTR) of hepatocellular carcinoma (HCC) patients treated with PD-1 inhibitors and lenvatinib as a conversion therapy in BCLC stage C. METHODS: All patients (n=20) underwent pretreatment (18)F-FDG PET/CT and were treated with conversion therapy and surgery. Patients were categorized into responders (n=9) and non-responders (n=11) according to PTR. The parameters of PET/CT, including lesion size, SUVmean (mean standard uptake value), MTV (metabolic tumor volume), TLG (total lesion glycolysis), SUVpeak (peak standard uptake value), and TLR (tumor-to-normal liver standardized uptake value ratio), were calculated. The diagnostic efficacy was evaluated by receiver operating characteristic analysis (ROC). PTR was compared with pretreatment PET/CT parameters by using Spearman correlation analysis. The patients were followed up. RESULTS: There was significant difference in TLR (5.59 ± 1.90 vs. 2.84 ± 1.70, respectively; P=0.003) between responders and non-responders, with the largest area under the curve (sensitivity=100%, specificity=72.7%, AUC=0.899, 95%CI: 0.759-1.000, optimal diagnostic threshold of 3.09). The relationship between (18)F-FDG PET/CT parameters and PTR indicated TLR was moderately and positively correlated with pathological treatment response, with correlation coefficients (rs) of 0.69 (P<0.01). During the follow-up, no patients died, and tumor recurrence was found in one of the responders (11.1%). In all 11 non-responders, tumor recurrence was found in six patients (54.5%) and four patients (36.4%) died. CONCLUSIONS: TLR may be a powerful marker to predict PTR of HCC patients with BCLC stage C who were treated with conversion therapy. Frontiers Media S.A. 2022-06-03 /pmc/articles/PMC9204225/ /pubmed/35719917 http://dx.doi.org/10.3389/fonc.2022.884372 Text en Copyright © 2022 Wang, Zhang, Chen, Luan, Wang, Wang, Xu, Yao, Guan, Tian, Lu, Xu and Ma https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Wang, Guanyun Zhang, Wenwen Chen, Jiaxin Luan, Xiaohui Wang, Zhanbo Wang, Yanmei Xu, Xiaodan Yao, Shulin Guan, Zhiwei Tian, Jiahe Lu, Shichun Xu, Baixuan Ma, Guangyu Pretreatment Metabolic Parameters Measured by (18)F-FDG PET to Predict the Pathological Treatment Response of HCC Patients Treated With PD-1 Inhibitors and Lenvatinib as a Conversion Therapy in BCLC Stage C |
title | Pretreatment Metabolic Parameters Measured by (18)F-FDG PET to Predict the Pathological Treatment Response of HCC Patients Treated With PD-1 Inhibitors and Lenvatinib as a Conversion Therapy in BCLC Stage C |
title_full | Pretreatment Metabolic Parameters Measured by (18)F-FDG PET to Predict the Pathological Treatment Response of HCC Patients Treated With PD-1 Inhibitors and Lenvatinib as a Conversion Therapy in BCLC Stage C |
title_fullStr | Pretreatment Metabolic Parameters Measured by (18)F-FDG PET to Predict the Pathological Treatment Response of HCC Patients Treated With PD-1 Inhibitors and Lenvatinib as a Conversion Therapy in BCLC Stage C |
title_full_unstemmed | Pretreatment Metabolic Parameters Measured by (18)F-FDG PET to Predict the Pathological Treatment Response of HCC Patients Treated With PD-1 Inhibitors and Lenvatinib as a Conversion Therapy in BCLC Stage C |
title_short | Pretreatment Metabolic Parameters Measured by (18)F-FDG PET to Predict the Pathological Treatment Response of HCC Patients Treated With PD-1 Inhibitors and Lenvatinib as a Conversion Therapy in BCLC Stage C |
title_sort | pretreatment metabolic parameters measured by (18)f-fdg pet to predict the pathological treatment response of hcc patients treated with pd-1 inhibitors and lenvatinib as a conversion therapy in bclc stage c |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9204225/ https://www.ncbi.nlm.nih.gov/pubmed/35719917 http://dx.doi.org/10.3389/fonc.2022.884372 |
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