Open AccessMachine Learning for the Prediction of Lymph Nodes Micrometastasis in Patients with Non-Small Cell Lung Cancer: A Comparative Analysis of Two Practical Prediction Models for Gross Target Volume Delineation
Author(s) -
Shuli Hu,
Ming Luo,
Yaling Li
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.s313941
Subject(s) - micrometastasis , medicine , lymph , lung cancer , logistic regression , lymph node , oncology , radiology , pathology , cancer , metastasis
The lymph node gross target volume (GTV) delineation in patients with non-small cell lung cancer (NSCLC) is crucial for prognosis. This study aimed to develop a predictive model that can be used to differentiate between lymph nodes micrometastasis (LNM) and non-lymph nodes micrometastasis (non-LNM).