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Incremental Value of Radiomics in 5-Year Overall Survival Prediction for Stage II–III Rectal Cancer

Although rectal cancer comprises up to one-third of colorectal cancer cases and several prognosis nomograms have been established for colon cancer, statistical tools for predicting long-term survival in rectal cancer are lacking. In addition, previous prognostic studies did not include much imaging...

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Autores principales: Nie, Ke, Hu, Peng, Zheng, Jianjun, Zhang, Yang, Yang, Pengfei, Jabbour, Salma K., Yue, Ning, Dong, Xue, Xu, Shufeng, Shen, Bo, Niu, Tianye, Hu, Xiaotong, Cai, Xiujun, Sun, Jihong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279662/
https://www.ncbi.nlm.nih.gov/pubmed/35847948
http://dx.doi.org/10.3389/fonc.2022.779030
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author Nie, Ke
Hu, Peng
Zheng, Jianjun
Zhang, Yang
Yang, Pengfei
Jabbour, Salma K.
Yue, Ning
Dong, Xue
Xu, Shufeng
Shen, Bo
Niu, Tianye
Hu, Xiaotong
Cai, Xiujun
Sun, Jihong
author_facet Nie, Ke
Hu, Peng
Zheng, Jianjun
Zhang, Yang
Yang, Pengfei
Jabbour, Salma K.
Yue, Ning
Dong, Xue
Xu, Shufeng
Shen, Bo
Niu, Tianye
Hu, Xiaotong
Cai, Xiujun
Sun, Jihong
author_sort Nie, Ke
collection PubMed
description Although rectal cancer comprises up to one-third of colorectal cancer cases and several prognosis nomograms have been established for colon cancer, statistical tools for predicting long-term survival in rectal cancer are lacking. In addition, previous prognostic studies did not include much imaging findings, qualitatively or quantitatively. Therefore, we include multiparametric MRI information from both radiologists’ readings and quantitative radiomics signatures to construct a prognostic model that allows 5-year overall survival (OS) prediction for advance-staged rectal cancer patients. The result suggested that the model combined with quantitative imaging findings might outperform that of conventional TNM staging or other clinical prognostic factors. It was noteworthy that the identified radiomics signature consisted of three from dynamic contrast-enhanced (DCE)-MRI, four from anatomical MRI, and one from functional diffusion-weighted imaging (DWI). This highlighted the importance of multiparametric MRI to address the issue of long-term survival estimation in rectal cancer. Additionally, the constructed radiomics signature demonstrated value to the conventional prognostic factors in predicting 5-year OS for stage II–III rectal cancer. The presented nomogram also provides a practical example of individualized prognosis estimation and may potentially impact treatment strategies.
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spelling pubmed-92796622022-07-15 Incremental Value of Radiomics in 5-Year Overall Survival Prediction for Stage II–III Rectal Cancer Nie, Ke Hu, Peng Zheng, Jianjun Zhang, Yang Yang, Pengfei Jabbour, Salma K. Yue, Ning Dong, Xue Xu, Shufeng Shen, Bo Niu, Tianye Hu, Xiaotong Cai, Xiujun Sun, Jihong Front Oncol Oncology Although rectal cancer comprises up to one-third of colorectal cancer cases and several prognosis nomograms have been established for colon cancer, statistical tools for predicting long-term survival in rectal cancer are lacking. In addition, previous prognostic studies did not include much imaging findings, qualitatively or quantitatively. Therefore, we include multiparametric MRI information from both radiologists’ readings and quantitative radiomics signatures to construct a prognostic model that allows 5-year overall survival (OS) prediction for advance-staged rectal cancer patients. The result suggested that the model combined with quantitative imaging findings might outperform that of conventional TNM staging or other clinical prognostic factors. It was noteworthy that the identified radiomics signature consisted of three from dynamic contrast-enhanced (DCE)-MRI, four from anatomical MRI, and one from functional diffusion-weighted imaging (DWI). This highlighted the importance of multiparametric MRI to address the issue of long-term survival estimation in rectal cancer. Additionally, the constructed radiomics signature demonstrated value to the conventional prognostic factors in predicting 5-year OS for stage II–III rectal cancer. The presented nomogram also provides a practical example of individualized prognosis estimation and may potentially impact treatment strategies. Frontiers Media S.A. 2022-06-30 /pmc/articles/PMC9279662/ /pubmed/35847948 http://dx.doi.org/10.3389/fonc.2022.779030 Text en Copyright © 2022 Nie, Hu, Zheng, Zhang, Yang, Jabbour, Yue, Dong, Xu, Shen, Niu, Hu, Cai and Sun 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
Nie, Ke
Hu, Peng
Zheng, Jianjun
Zhang, Yang
Yang, Pengfei
Jabbour, Salma K.
Yue, Ning
Dong, Xue
Xu, Shufeng
Shen, Bo
Niu, Tianye
Hu, Xiaotong
Cai, Xiujun
Sun, Jihong
Incremental Value of Radiomics in 5-Year Overall Survival Prediction for Stage II–III Rectal Cancer
title Incremental Value of Radiomics in 5-Year Overall Survival Prediction for Stage II–III Rectal Cancer
title_full Incremental Value of Radiomics in 5-Year Overall Survival Prediction for Stage II–III Rectal Cancer
title_fullStr Incremental Value of Radiomics in 5-Year Overall Survival Prediction for Stage II–III Rectal Cancer
title_full_unstemmed Incremental Value of Radiomics in 5-Year Overall Survival Prediction for Stage II–III Rectal Cancer
title_short Incremental Value of Radiomics in 5-Year Overall Survival Prediction for Stage II–III Rectal Cancer
title_sort incremental value of radiomics in 5-year overall survival prediction for stage ii–iii rectal cancer
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279662/
https://www.ncbi.nlm.nih.gov/pubmed/35847948
http://dx.doi.org/10.3389/fonc.2022.779030
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