Predicting preoperative lymph node metastasis in esophageal cancer: Advancement and challenges

被引:0
作者
Le, Xing-Yan [1 ]
Feng, Jun-Bang [1 ]
Guo, Yi [1 ]
Zhou, Yue-Qin [1 ]
Li, Chuan-Ming [1 ]
机构
[1] Chongqing Univ, Cent Hosp, Chongqing Emergency Med Ctr, Dept Med Imaging,Sch Med, 1 Jiankang Rd, Chongqing 400014, Peoples R China
来源
WORLD JOURNAL OF CLINICAL ONCOLOGY | 2025年 / 16卷 / 03期
关键词
Esophageal cancer; Radiomics; Lymph node metastasis; Nomogram; Machine learning; Computed tomography;
D O I
10.5306/wjco.v16.i3.102863
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Accurate preoperative prediction of lymph node metastasis is crucial for developing clinical management strategies for patients with esophageal cancer. In this letter, we present our insights and opinions on a new nomogram proposed by Xu et al. Although this research has great potential, there are still concerns regarding the small sample size, limited consideration of biological complexity, subjective image segmentation, incomplete image feature extraction and statistical analyses. Furthermore, we discuss how to achieve more robust and accurate predictive performance in future research.
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页数:4
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