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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Baishideng Publishing Group Inc
2023
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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. |
format | Online Article Text |
id | pubmed-10401402 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Baishideng Publishing Group Inc |
record_format | MEDLINE/PubMed |
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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