Open AccessSupervised Learning Based Systemic Inflammatory Markers Enable Accurate Additional Surgery for pT1NxM0 Colorectal Cancer: A Comparative Analysis of Two Practical Prediction Models for Lymph Node Metastasis
Author(s) -
Jinlian Jin,
Haiyan Zhou,
S. Qing Sun,
Zhe Tian,
Hongliang Ren,
Jinwu Feng
Publication year - 2021
Publication title -
cancer management and research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.024
H-Index - 40
ISSN - 1179-1322
DOI - 10.2147/cmar.s337516
Subject(s) - medicine , confidence interval , colorectal cancer , oncology , cohort , metastasis , lymphovascular invasion , neutrophil to lymphocyte ratio , cancer , surgery , lymphocyte
Predicting lymph node metastasis (LNM) after endoscopic resection is crucial in determining whether patients with pT1NxM0 colorectal cancer (CRC) should undergo additional surgery. This study was aimed to develop a predictive model that can be used to reduce the current likelihood of overtreatment.