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Progress of magnetic resonance imaging radiomics in preoperative lymph node diagnosis of esophageal cancer

Esophageal cancer, also referred to as esophagus cancer, is a prevalent disease in the cardiothoracic field and is a leading cause of cancer-related mortality in China. Accurately determining the status of lymph nodes is crucial for developing treatment plans, defining the scope of intraoperative ly...

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Autores principales: Xu, Yan-Han, Lu, Peng, Gao, Ming-Cheng, Wang, Rui, Li, Yang-Yang, Song, Jian-Xiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10401402/
https://www.ncbi.nlm.nih.gov/pubmed/37545645
http://dx.doi.org/10.4329/wjr.v15.i7.216
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author Xu, Yan-Han
Lu, Peng
Gao, Ming-Cheng
Wang, Rui
Li, Yang-Yang
Song, Jian-Xiang
author_facet Xu, Yan-Han
Lu, Peng
Gao, Ming-Cheng
Wang, Rui
Li, Yang-Yang
Song, Jian-Xiang
author_sort Xu, Yan-Han
collection PubMed
description Esophageal cancer, also referred to as esophagus cancer, is a prevalent disease in the cardiothoracic field and is a leading cause of cancer-related mortality in China. Accurately determining the status of lymph nodes is crucial for developing treatment plans, defining the scope of intraoperative lymph node dissection, and ascertaining the prognosis of patients with esophageal cancer. Recent advances in diffusion-weighted imaging and dynamic contrast-enhanced magnetic resonance imaging (MRI) have improved the effectiveness of MRI for assessing lymph node involvement, making it a beneficial tool for guiding personalized treatment plans for patients with esophageal cancer in a clinical setting. Radiomics is a recently developed imaging technique that transforms radiological image data from regions of interest into high-dimensional feature data that can be analyzed. The features, such as shape, texture, and waveform, are associated with the cancer phenotype and tumor microenvironment. When these features correlate with the clinical disease outcomes, they form the basis for specific and reliable clinical evidence. This study aimed to review the potential clinical applications of MRI-based radiomics in studying the lymph nodes affected by esophageal cancer. The combination of MRI and radiomics is a powerful tool for diagnosing and treating esophageal cancer, enabling a more personalized and effectual approach.
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spelling pubmed-104014022023-08-05 Progress of magnetic resonance imaging radiomics in preoperative lymph node diagnosis of esophageal cancer Xu, Yan-Han Lu, Peng Gao, Ming-Cheng Wang, Rui Li, Yang-Yang Song, Jian-Xiang World J Radiol Minireviews Esophageal cancer, also referred to as esophagus cancer, is a prevalent disease in the cardiothoracic field and is a leading cause of cancer-related mortality in China. Accurately determining the status of lymph nodes is crucial for developing treatment plans, defining the scope of intraoperative lymph node dissection, and ascertaining the prognosis of patients with esophageal cancer. Recent advances in diffusion-weighted imaging and dynamic contrast-enhanced magnetic resonance imaging (MRI) have improved the effectiveness of MRI for assessing lymph node involvement, making it a beneficial tool for guiding personalized treatment plans for patients with esophageal cancer in a clinical setting. Radiomics is a recently developed imaging technique that transforms radiological image data from regions of interest into high-dimensional feature data that can be analyzed. The features, such as shape, texture, and waveform, are associated with the cancer phenotype and tumor microenvironment. When these features correlate with the clinical disease outcomes, they form the basis for specific and reliable clinical evidence. This study aimed to review the potential clinical applications of MRI-based radiomics in studying the lymph nodes affected by esophageal cancer. The combination of MRI and radiomics is a powerful tool for diagnosing and treating esophageal cancer, enabling a more personalized and effectual approach. Baishideng Publishing Group Inc 2023-07-28 2023-07-28 /pmc/articles/PMC10401402/ /pubmed/37545645 http://dx.doi.org/10.4329/wjr.v15.i7.216 Text en ©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved. https://creativecommons.org/licenses/by-nc/4.0/This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial.
spellingShingle Minireviews
Xu, Yan-Han
Lu, Peng
Gao, Ming-Cheng
Wang, Rui
Li, Yang-Yang
Song, Jian-Xiang
Progress of magnetic resonance imaging radiomics in preoperative lymph node diagnosis of esophageal cancer
title Progress of magnetic resonance imaging radiomics in preoperative lymph node diagnosis of esophageal cancer
title_full Progress of magnetic resonance imaging radiomics in preoperative lymph node diagnosis of esophageal cancer
title_fullStr Progress of magnetic resonance imaging radiomics in preoperative lymph node diagnosis of esophageal cancer
title_full_unstemmed Progress of magnetic resonance imaging radiomics in preoperative lymph node diagnosis of esophageal cancer
title_short Progress of magnetic resonance imaging radiomics in preoperative lymph node diagnosis of esophageal cancer
title_sort progress of magnetic resonance imaging radiomics in preoperative lymph node diagnosis of esophageal cancer
topic Minireviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10401402/
https://www.ncbi.nlm.nih.gov/pubmed/37545645
http://dx.doi.org/10.4329/wjr.v15.i7.216
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