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

被引:3
|
作者
Xu, Yan-Han [1 ]
Lu, Peng [2 ]
Gao, Ming-Cheng [1 ]
Wang, Rui [1 ]
Li, Yang-Yang [1 ]
Song, Jian-Xiang [1 ]
机构
[1] Nantong Univ, Yancheng Peoples Hosp 3, Affiliated Hosp 6, Dept Thorac Surg, 500 Yonghe Rd, Yancheng 224000, Jiangsu, Peoples R China
[2] Nantong Univ, Yancheng Peoples Hosp 3, Affiliated Hosp 6, Dept Imaging, Yancheng 224000, Jiangsu, Peoples R China
来源
WORLD JOURNAL OF RADIOLOGY | 2023年 / 15卷 / 07期
关键词
Esophageal cancer; Diffusion-weighted imaging; Dynamic contrast-enhanced imaging; Radiomics; Lymph nodes; SQUAMOUS-CELL CARCINOMA; APPARENT DIFFUSION-COEFFICIENT; LIMITED TRANSHIATAL RESECTION; NEOADJUVANT CHEMORADIATION; ENDOSCOPIC ULTRASOUND; HISTOGRAM ANALYSIS; PROGNOSTIC IMPACT; ECHO SEQUENCE; MRI; ADENOCARCINOMA;
D O I
10.4329/wjr.v15.i7.216
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
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.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Evaluation of Lymph Node Metastasis in Advanced Gastric Cancer Using Magnetic Resonance Imaging-Based Radiomics
    Chen, Wujie
    Wang, Siwen
    Dong, Di
    Gao, Xuning
    Zhou, Kefeng
    Li, Jiaying
    Lv, Bin
    Li, Hailin
    Wu, Xiangjun
    Fang, Mengjie
    Tian, Jie
    Xu, Maosheng
    FRONTIERS IN ONCOLOGY, 2019, 9
  • [2] Magnetic resonance imaging-based lymph node radiomics for predicting the metastasis of evaluable lymph nodes in rectal cancer
    Ye, Yong-Xia
    Yang, Liu
    Kang, Zheng
    Wang, Mei-Qin
    Xie, Xiao-Dong
    Lou, Ke-Xin
    Bao, Jun
    Du, Mei
    Li, Zhe-Xuan
    WORLD JOURNAL OF GASTROINTESTINAL ONCOLOGY, 2024, 16 (05) : 1849 - 1860
  • [3] Magnetic Resonance Imaging Radiomics-Based Model for Prediction of Lymph Node Metastasis in Cervical Cancer
    Shi, Zhenjie
    Lu, Longlong
    INTERNATIONAL JOURNAL OF GENERAL MEDICINE, 2025, 18 : 1371 - 1381
  • [4] Radiomics analysis of magnetic resonance imaging improves diagnostic performance of lymph node metastasis in patients with cervical cancer
    Wu, Qingxia
    Wang, Shuo
    Chen, Xi
    Wang, Yan
    Dong, Li
    Liu, Zhenyu
    Tian, Jie
    Wang, Meiyun
    RADIOTHERAPY AND ONCOLOGY, 2019, 138 : 141 - 148
  • [5] CT radiomics nomogram for the preoperative prediction of lymph node metastasis in gastric cancer
    Wang, Yue
    Liu, Wei
    Yu, Yang
    Liu, Jing-juan
    Xue, Hua-dan
    Qi, Ya-fei
    Lei, Jing
    Yu, Jian-chun
    Jin, Zheng-yu
    EUROPEAN RADIOLOGY, 2020, 30 (02) : 976 - 986
  • [6] Building CT Radiomics Based Nomogram for Preoperative Esophageal Cancer Patients Lymph Node Metastasis Prediction
    Shen, Chen
    Liu, Zhenyu
    Wang, Zhaoqi
    Guo, Jia
    Zhang, Hongkai
    Wang, Yingshu
    Qin, Jianjun
    Li, Hailiang
    Fang, Mengjie
    Tang, Zhenchao
    Li, Yin
    Qu, Jinrong
    Tian, Jie
    TRANSLATIONAL ONCOLOGY, 2018, 11 (03): : 815 - 824
  • [7] CT scan and magnetic resonance diffusion-weighted imaging in the diagnosis and treatment of esophageal cancer
    Guo, Lei
    Zhang, Liulong
    Zhao, Jianshe
    ONCOLOGY LETTERS, 2018, 16 (06) : 7117 - 7122
  • [8] Radiomics-clinical nomogram for preoperative lymph node metastasis prediction in esophageal carcinoma
    Geng, Xiaotao
    Zhang, Yaping
    Li, Yang
    Cai, Yuanyuan
    Liu, Jie
    Geng, Tianxiang
    Meng, Xiangdi
    Hao, Furong
    BRITISH JOURNAL OF RADIOLOGY, 2024, 97 (1155) : 652 - 659
  • [9] Radiomics Analysis of Dynamic Contrast-Enhanced Magnetic Resonance Imaging for the Prediction of Sentinel Lymph Node Metastasis in Breast Cancer
    Liu, Jia
    Sun, Dong
    Chen, Linli
    Fang, Zheng
    Song, Weixiang
    Guo, Dajing
    Ni, Tiangen
    Liu, Chuan
    Feng, Lin
    Xia, Yuwei
    Zhang, Xiong
    Li, Chuanming
    FRONTIERS IN ONCOLOGY, 2019, 9
  • [10] Radiomics methodology for breast cancer diagnosis using multiparametric magnetic resonance imaging
    Hu, Qiyuan
    Whitney, Heather M.
    Giger, Maryellen L.
    JOURNAL OF MEDICAL IMAGING, 2020, 7 (04)