Cargando…

Development and validation of a prognostic model incorporating [(18)F]FDG PET/CT radiomics for patients with minor salivary gland carcinoma

OBJECTIVES: The aim of this study was to develop and validate a prognostic model incorporating [(18)F]FDG PET/CT radiomics for patients of minor salivary gland carcinoma (MSGC). METHODS: We retrospectively reviewed the pretreatment [(18)F]FDG PET/CT images of 75 MSGC patients treated with curative i...

Descripción completa

Detalles Bibliográficos
Autores principales: Cheng, Nai-Ming, Hsieh, Cheng-En, Fang, Yu-Hua Dean, Liao, Chun-Ta, Ng, Shu-Hang, Wang, Hung-Ming, Chou, Wen-Chi, Lin, Chien-Yu, Yen, Tzu-Chen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7338312/
https://www.ncbi.nlm.nih.gov/pubmed/32632638
http://dx.doi.org/10.1186/s13550-020-00631-3
_version_ 1783554648270962688
author Cheng, Nai-Ming
Hsieh, Cheng-En
Fang, Yu-Hua Dean
Liao, Chun-Ta
Ng, Shu-Hang
Wang, Hung-Ming
Chou, Wen-Chi
Lin, Chien-Yu
Yen, Tzu-Chen
author_facet Cheng, Nai-Ming
Hsieh, Cheng-En
Fang, Yu-Hua Dean
Liao, Chun-Ta
Ng, Shu-Hang
Wang, Hung-Ming
Chou, Wen-Chi
Lin, Chien-Yu
Yen, Tzu-Chen
author_sort Cheng, Nai-Ming
collection PubMed
description OBJECTIVES: The aim of this study was to develop and validate a prognostic model incorporating [(18)F]FDG PET/CT radiomics for patients of minor salivary gland carcinoma (MSGC). METHODS: We retrospectively reviewed the pretreatment [(18)F]FDG PET/CT images of 75 MSGC patients treated with curative intent. Using a 1.5:1 ratio, the patients were randomly divided into a training and validation group. The main outcome measurements were overall survival (OS) and relapse-free survival (RFS). All of the patients were followed up for at least 30 months or until death. Following segmentation of tumors and lymph nodes on PET images, radiomic features were extracted. The prognostic significance of PET radiomics and clinical parameters in the training group was examined using receiver operating characteristic curve analysis. Variables showing a significant impact on OS and RFS were entered into multivariable Cox regression models. Recursive partitioning analysis was subsequently implemented to devise a prognostic index, whose performance was examined in the validation group. Finally, the performance of the index was compared with clinical variables in the entire cohort and nomograms for surgically treated cases. RESULTS: The training and validation groups consisted of 45 and 30 patients, respectively. The median follow-up time in the entire cohort was 59.5 months. Eighteen relapse, 19 dead, and thirteen relapse, eight dead events were found in the training and validation cohorts, respectively. In the training group, two factors were identified as independently associated with poor OS, i.e., (1) tumors with both high maximum standardized uptake value (SUV(max)) and discretized intensity entropy and (2) poor performance status or N2c-N3 stage. A prognostic model based on the above factors was devised and showed significant higher concordance index (C-index) for OS than those of AJCC stage and high-risk histology (C-index: 0.83 vs. 0.65, P = 0.005; 0.83 vs. 0.54, P < 0.001, respectively). This index also demonstrated superior performance than nomogram for OS (C-index: 0.88 vs. 0.70, P = 0.017) and that for RFS (C-index: 0.87 vs. 0.72, P = 0.004). CONCLUSIONS: We devised a novel prognostic model that incorporates [(18)F]FDG PET/CT radiomics and may help refine outcome prediction in patients with MSGC.
format Online
Article
Text
id pubmed-7338312
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Springer Berlin Heidelberg
record_format MEDLINE/PubMed
spelling pubmed-73383122020-07-09 Development and validation of a prognostic model incorporating [(18)F]FDG PET/CT radiomics for patients with minor salivary gland carcinoma Cheng, Nai-Ming Hsieh, Cheng-En Fang, Yu-Hua Dean Liao, Chun-Ta Ng, Shu-Hang Wang, Hung-Ming Chou, Wen-Chi Lin, Chien-Yu Yen, Tzu-Chen EJNMMI Res Original Research OBJECTIVES: The aim of this study was to develop and validate a prognostic model incorporating [(18)F]FDG PET/CT radiomics for patients of minor salivary gland carcinoma (MSGC). METHODS: We retrospectively reviewed the pretreatment [(18)F]FDG PET/CT images of 75 MSGC patients treated with curative intent. Using a 1.5:1 ratio, the patients were randomly divided into a training and validation group. The main outcome measurements were overall survival (OS) and relapse-free survival (RFS). All of the patients were followed up for at least 30 months or until death. Following segmentation of tumors and lymph nodes on PET images, radiomic features were extracted. The prognostic significance of PET radiomics and clinical parameters in the training group was examined using receiver operating characteristic curve analysis. Variables showing a significant impact on OS and RFS were entered into multivariable Cox regression models. Recursive partitioning analysis was subsequently implemented to devise a prognostic index, whose performance was examined in the validation group. Finally, the performance of the index was compared with clinical variables in the entire cohort and nomograms for surgically treated cases. RESULTS: The training and validation groups consisted of 45 and 30 patients, respectively. The median follow-up time in the entire cohort was 59.5 months. Eighteen relapse, 19 dead, and thirteen relapse, eight dead events were found in the training and validation cohorts, respectively. In the training group, two factors were identified as independently associated with poor OS, i.e., (1) tumors with both high maximum standardized uptake value (SUV(max)) and discretized intensity entropy and (2) poor performance status or N2c-N3 stage. A prognostic model based on the above factors was devised and showed significant higher concordance index (C-index) for OS than those of AJCC stage and high-risk histology (C-index: 0.83 vs. 0.65, P = 0.005; 0.83 vs. 0.54, P < 0.001, respectively). This index also demonstrated superior performance than nomogram for OS (C-index: 0.88 vs. 0.70, P = 0.017) and that for RFS (C-index: 0.87 vs. 0.72, P = 0.004). CONCLUSIONS: We devised a novel prognostic model that incorporates [(18)F]FDG PET/CT radiomics and may help refine outcome prediction in patients with MSGC. Springer Berlin Heidelberg 2020-07-06 /pmc/articles/PMC7338312/ /pubmed/32632638 http://dx.doi.org/10.1186/s13550-020-00631-3 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Original Research
Cheng, Nai-Ming
Hsieh, Cheng-En
Fang, Yu-Hua Dean
Liao, Chun-Ta
Ng, Shu-Hang
Wang, Hung-Ming
Chou, Wen-Chi
Lin, Chien-Yu
Yen, Tzu-Chen
Development and validation of a prognostic model incorporating [(18)F]FDG PET/CT radiomics for patients with minor salivary gland carcinoma
title Development and validation of a prognostic model incorporating [(18)F]FDG PET/CT radiomics for patients with minor salivary gland carcinoma
title_full Development and validation of a prognostic model incorporating [(18)F]FDG PET/CT radiomics for patients with minor salivary gland carcinoma
title_fullStr Development and validation of a prognostic model incorporating [(18)F]FDG PET/CT radiomics for patients with minor salivary gland carcinoma
title_full_unstemmed Development and validation of a prognostic model incorporating [(18)F]FDG PET/CT radiomics for patients with minor salivary gland carcinoma
title_short Development and validation of a prognostic model incorporating [(18)F]FDG PET/CT radiomics for patients with minor salivary gland carcinoma
title_sort development and validation of a prognostic model incorporating [(18)f]fdg pet/ct radiomics for patients with minor salivary gland carcinoma
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7338312/
https://www.ncbi.nlm.nih.gov/pubmed/32632638
http://dx.doi.org/10.1186/s13550-020-00631-3
work_keys_str_mv AT chengnaiming developmentandvalidationofaprognosticmodelincorporating18ffdgpetctradiomicsforpatientswithminorsalivaryglandcarcinoma
AT hsiehchengen developmentandvalidationofaprognosticmodelincorporating18ffdgpetctradiomicsforpatientswithminorsalivaryglandcarcinoma
AT fangyuhuadean developmentandvalidationofaprognosticmodelincorporating18ffdgpetctradiomicsforpatientswithminorsalivaryglandcarcinoma
AT liaochunta developmentandvalidationofaprognosticmodelincorporating18ffdgpetctradiomicsforpatientswithminorsalivaryglandcarcinoma
AT ngshuhang developmentandvalidationofaprognosticmodelincorporating18ffdgpetctradiomicsforpatientswithminorsalivaryglandcarcinoma
AT wanghungming developmentandvalidationofaprognosticmodelincorporating18ffdgpetctradiomicsforpatientswithminorsalivaryglandcarcinoma
AT chouwenchi developmentandvalidationofaprognosticmodelincorporating18ffdgpetctradiomicsforpatientswithminorsalivaryglandcarcinoma
AT linchienyu developmentandvalidationofaprognosticmodelincorporating18ffdgpetctradiomicsforpatientswithminorsalivaryglandcarcinoma
AT yentzuchen developmentandvalidationofaprognosticmodelincorporating18ffdgpetctradiomicsforpatientswithminorsalivaryglandcarcinoma