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Radiomics-Based Preoperative Prediction of Lymph Node Status Following Neoadjuvant Therapy in Locally Advanced Rectal Cancer

Background and Purpose: Lymph node status is a key factor for the recommendation of organ preservation for patients with locally advanced rectal cancer (LARC) following neoadjuvant therapy but generally confirmed post-operation. This study aimed to preoperatively predict the lymph node status follow...

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Autores principales: Zhou, Xuezhi, Yi, Yongju, Liu, Zhenyu, Zhou, Zhiyang, Lai, Bingjia, Sun, Kai, Li, Longfei, Huang, Liyu, Feng, Yanqiu, Cao, Wuteng, Tian, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7233118/
https://www.ncbi.nlm.nih.gov/pubmed/32477930
http://dx.doi.org/10.3389/fonc.2020.00604
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author Zhou, Xuezhi
Yi, Yongju
Liu, Zhenyu
Zhou, Zhiyang
Lai, Bingjia
Sun, Kai
Li, Longfei
Huang, Liyu
Feng, Yanqiu
Cao, Wuteng
Tian, Jie
author_facet Zhou, Xuezhi
Yi, Yongju
Liu, Zhenyu
Zhou, Zhiyang
Lai, Bingjia
Sun, Kai
Li, Longfei
Huang, Liyu
Feng, Yanqiu
Cao, Wuteng
Tian, Jie
author_sort Zhou, Xuezhi
collection PubMed
description Background and Purpose: Lymph node status is a key factor for the recommendation of organ preservation for patients with locally advanced rectal cancer (LARC) following neoadjuvant therapy but generally confirmed post-operation. This study aimed to preoperatively predict the lymph node status following neoadjuvant therapy using multiparametric magnetic resonance imaging (MRI)-based radiomic signature. Materials and Methods: A total of 391 patients with LARC who underwent neoadjuvant therapy and TME were included, of which 261 and 130 patients were allocated to the primary cohort and the validation cohort, respectively. The tumor area, as determined by preoperative MRI, underwent radiomics analysis to build a radiomic signature related to lymph node status. Two radiologists reassessed the lymph node status on MRI. The radiomic signature and restaging results were included in a multivariate analysis to build a combined model for predicting the lymph node status. Stratified analyses were performed to test the predictive ability of the combined model in patients with post-therapeutic MRI T1-2 or T3-4 tumors, respectively. Results: The combined model was built in the primary cohort, and predicted lymph node metastasis (LNM+) with an area under the curve of 0.818 and a negative predictive value (NPV) of 93.7% were considered in the validation cohort. Stratified analyses indicated that the combined model could predict LNM+ with a NPV of 100 and 87.8% in the post-therapeutic MRI T1-2 and T3-4 subgroups, respectively. Conclusion: This study reveals the potential of radiomics as a predictor of lymph node status for patients with LARC following neoadjuvant therapy, especially for those with post-therapeutic MRI T1-2 tumors.
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spelling pubmed-72331182020-05-29 Radiomics-Based Preoperative Prediction of Lymph Node Status Following Neoadjuvant Therapy in Locally Advanced Rectal Cancer Zhou, Xuezhi Yi, Yongju Liu, Zhenyu Zhou, Zhiyang Lai, Bingjia Sun, Kai Li, Longfei Huang, Liyu Feng, Yanqiu Cao, Wuteng Tian, Jie Front Oncol Oncology Background and Purpose: Lymph node status is a key factor for the recommendation of organ preservation for patients with locally advanced rectal cancer (LARC) following neoadjuvant therapy but generally confirmed post-operation. This study aimed to preoperatively predict the lymph node status following neoadjuvant therapy using multiparametric magnetic resonance imaging (MRI)-based radiomic signature. Materials and Methods: A total of 391 patients with LARC who underwent neoadjuvant therapy and TME were included, of which 261 and 130 patients were allocated to the primary cohort and the validation cohort, respectively. The tumor area, as determined by preoperative MRI, underwent radiomics analysis to build a radiomic signature related to lymph node status. Two radiologists reassessed the lymph node status on MRI. The radiomic signature and restaging results were included in a multivariate analysis to build a combined model for predicting the lymph node status. Stratified analyses were performed to test the predictive ability of the combined model in patients with post-therapeutic MRI T1-2 or T3-4 tumors, respectively. Results: The combined model was built in the primary cohort, and predicted lymph node metastasis (LNM+) with an area under the curve of 0.818 and a negative predictive value (NPV) of 93.7% were considered in the validation cohort. Stratified analyses indicated that the combined model could predict LNM+ with a NPV of 100 and 87.8% in the post-therapeutic MRI T1-2 and T3-4 subgroups, respectively. Conclusion: This study reveals the potential of radiomics as a predictor of lymph node status for patients with LARC following neoadjuvant therapy, especially for those with post-therapeutic MRI T1-2 tumors. Frontiers Media S.A. 2020-05-11 /pmc/articles/PMC7233118/ /pubmed/32477930 http://dx.doi.org/10.3389/fonc.2020.00604 Text en Copyright © 2020 Zhou, Yi, Liu, Zhou, Lai, Sun, Li, Huang, Feng, Cao and Tian. http://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
Zhou, Xuezhi
Yi, Yongju
Liu, Zhenyu
Zhou, Zhiyang
Lai, Bingjia
Sun, Kai
Li, Longfei
Huang, Liyu
Feng, Yanqiu
Cao, Wuteng
Tian, Jie
Radiomics-Based Preoperative Prediction of Lymph Node Status Following Neoadjuvant Therapy in Locally Advanced Rectal Cancer
title Radiomics-Based Preoperative Prediction of Lymph Node Status Following Neoadjuvant Therapy in Locally Advanced Rectal Cancer
title_full Radiomics-Based Preoperative Prediction of Lymph Node Status Following Neoadjuvant Therapy in Locally Advanced Rectal Cancer
title_fullStr Radiomics-Based Preoperative Prediction of Lymph Node Status Following Neoadjuvant Therapy in Locally Advanced Rectal Cancer
title_full_unstemmed Radiomics-Based Preoperative Prediction of Lymph Node Status Following Neoadjuvant Therapy in Locally Advanced Rectal Cancer
title_short Radiomics-Based Preoperative Prediction of Lymph Node Status Following Neoadjuvant Therapy in Locally Advanced Rectal Cancer
title_sort radiomics-based preoperative prediction of lymph node status following neoadjuvant therapy in locally advanced rectal cancer
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7233118/
https://www.ncbi.nlm.nih.gov/pubmed/32477930
http://dx.doi.org/10.3389/fonc.2020.00604
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