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A combined predicting model for benign esophageal stenosis after simultaneous integrated boost in esophageal squamous cell carcinoma patients (GASTO1072)

PURPOSE: We aimed to develop a combined predicting model for benign esophageal stenosis (BES) after simultaneous integrated boost (SIB) with concurrent chemotherapy in patients with esophageal squamous cell carcinoma (ESCC). METHODS: This study included 65 patients with EC who underwent SIB with che...

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Autores principales: Liu, Weitong, Zeng, Chengbing, Wang, Siyan, Zhan, Yizhou, Huang, Ruihong, Luo, Ting, Peng, Guobo, Wu, Yanxuan, Qiu, Zihan, Li, Derui, Wu, Fangcai, Chen, Chuangzhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10107369/
https://www.ncbi.nlm.nih.gov/pubmed/37078004
http://dx.doi.org/10.3389/fonc.2022.1026305
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author Liu, Weitong
Zeng, Chengbing
Wang, Siyan
Zhan, Yizhou
Huang, Ruihong
Luo, Ting
Peng, Guobo
Wu, Yanxuan
Qiu, Zihan
Li, Derui
Wu, Fangcai
Chen, Chuangzhen
author_facet Liu, Weitong
Zeng, Chengbing
Wang, Siyan
Zhan, Yizhou
Huang, Ruihong
Luo, Ting
Peng, Guobo
Wu, Yanxuan
Qiu, Zihan
Li, Derui
Wu, Fangcai
Chen, Chuangzhen
author_sort Liu, Weitong
collection PubMed
description PURPOSE: We aimed to develop a combined predicting model for benign esophageal stenosis (BES) after simultaneous integrated boost (SIB) with concurrent chemotherapy in patients with esophageal squamous cell carcinoma (ESCC). METHODS: This study included 65 patients with EC who underwent SIB with chemotherapy. Esophageal stenosis was evaluated using esophagograms and the severity of eating disorders. Risk factors were investigated using univariate and multivariate analyses. Radiomics features were extracted based on contrast-enhanced CT (CE-CT) before treatment. The least absolute shrinkage and selection operator (LASSO) regression analysis was used for feature selection and radiomics signature construction. The model’s performance was evaluated using Harrell’s concordance index and receiver operating characteristic curves. RESULTS: The patients were stratified into low- and high-risk groups according to BES after SIB. The area under the curves of the clinical model, Rad-score, and the combined model were 0.751, 0.820 and 0.864, respectively. In the validation cohort, the AUCs of these three models were 0.854, 0.883 and 0.917, respectively. The Hosmer-Lemeshow test showed that there was no deviation from model fitting for the training cohort (p=0.451) and validation cohort (p=0.481). The C-indexes of the nomogram were 0.864 and 0.958 for the training and validation cohort, respectively. The model combined with Rad-score and clinical factors achieved favorable prediction ability. CONCLUSION: Definitive chemoradiotherapy could alleviate tumor-inducing esophageal stenosis but result in benign stenosis. We constructed and tested a combined predicting model for benign esophageal stenosis after SIB. The nomogram incorporating both radiomics signature and clinical prognostic factors showed favorable predictive accuracy for BES in ESCC patients who received SIB with chemotherapy. TRIAL REGISTRATION NUMBER AND DATE OF REGISTRATION: Registered in www.Clinicaltrial.gov, ID: NCT01670409, August 12, 2012
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spelling pubmed-101073692023-04-18 A combined predicting model for benign esophageal stenosis after simultaneous integrated boost in esophageal squamous cell carcinoma patients (GASTO1072) Liu, Weitong Zeng, Chengbing Wang, Siyan Zhan, Yizhou Huang, Ruihong Luo, Ting Peng, Guobo Wu, Yanxuan Qiu, Zihan Li, Derui Wu, Fangcai Chen, Chuangzhen Front Oncol Oncology PURPOSE: We aimed to develop a combined predicting model for benign esophageal stenosis (BES) after simultaneous integrated boost (SIB) with concurrent chemotherapy in patients with esophageal squamous cell carcinoma (ESCC). METHODS: This study included 65 patients with EC who underwent SIB with chemotherapy. Esophageal stenosis was evaluated using esophagograms and the severity of eating disorders. Risk factors were investigated using univariate and multivariate analyses. Radiomics features were extracted based on contrast-enhanced CT (CE-CT) before treatment. The least absolute shrinkage and selection operator (LASSO) regression analysis was used for feature selection and radiomics signature construction. The model’s performance was evaluated using Harrell’s concordance index and receiver operating characteristic curves. RESULTS: The patients were stratified into low- and high-risk groups according to BES after SIB. The area under the curves of the clinical model, Rad-score, and the combined model were 0.751, 0.820 and 0.864, respectively. In the validation cohort, the AUCs of these three models were 0.854, 0.883 and 0.917, respectively. The Hosmer-Lemeshow test showed that there was no deviation from model fitting for the training cohort (p=0.451) and validation cohort (p=0.481). The C-indexes of the nomogram were 0.864 and 0.958 for the training and validation cohort, respectively. The model combined with Rad-score and clinical factors achieved favorable prediction ability. CONCLUSION: Definitive chemoradiotherapy could alleviate tumor-inducing esophageal stenosis but result in benign stenosis. We constructed and tested a combined predicting model for benign esophageal stenosis after SIB. The nomogram incorporating both radiomics signature and clinical prognostic factors showed favorable predictive accuracy for BES in ESCC patients who received SIB with chemotherapy. TRIAL REGISTRATION NUMBER AND DATE OF REGISTRATION: Registered in www.Clinicaltrial.gov, ID: NCT01670409, August 12, 2012 Frontiers Media S.A. 2022-12-22 /pmc/articles/PMC10107369/ /pubmed/37078004 http://dx.doi.org/10.3389/fonc.2022.1026305 Text en Copyright © 2022 Liu, Zeng, Wang, Zhan, Huang, Luo, Peng, Wu, Qiu, Li, Wu and Chen 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
Liu, Weitong
Zeng, Chengbing
Wang, Siyan
Zhan, Yizhou
Huang, Ruihong
Luo, Ting
Peng, Guobo
Wu, Yanxuan
Qiu, Zihan
Li, Derui
Wu, Fangcai
Chen, Chuangzhen
A combined predicting model for benign esophageal stenosis after simultaneous integrated boost in esophageal squamous cell carcinoma patients (GASTO1072)
title A combined predicting model for benign esophageal stenosis after simultaneous integrated boost in esophageal squamous cell carcinoma patients (GASTO1072)
title_full A combined predicting model for benign esophageal stenosis after simultaneous integrated boost in esophageal squamous cell carcinoma patients (GASTO1072)
title_fullStr A combined predicting model for benign esophageal stenosis after simultaneous integrated boost in esophageal squamous cell carcinoma patients (GASTO1072)
title_full_unstemmed A combined predicting model for benign esophageal stenosis after simultaneous integrated boost in esophageal squamous cell carcinoma patients (GASTO1072)
title_short A combined predicting model for benign esophageal stenosis after simultaneous integrated boost in esophageal squamous cell carcinoma patients (GASTO1072)
title_sort combined predicting model for benign esophageal stenosis after simultaneous integrated boost in esophageal squamous cell carcinoma patients (gasto1072)
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10107369/
https://www.ncbi.nlm.nih.gov/pubmed/37078004
http://dx.doi.org/10.3389/fonc.2022.1026305
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