LASSO-Based Machine Learning Algorithm for Prediction of Lymph Node Metastasis in T1 Colorectal Cancer
Cancer Research and Treatment. 2021;53(3):773-783 
Influence of Old Age on Risk of Lymph Node Metastasis and Survival in Patients With T1 Colorectal Cancer: A Population-Based Analysis
. 2021;
Pathological Diagnosis of Submucosal Invasive Colorectal Carcinoma (pT1 Colorectal Cancer): Overview of Histopathological and Molecular Markers to Predict Lymph Node Metastasis of Submucosal Invasive Colorectal Cancer
Endoscopic Management of Colorectal T1(SM) Carcinoma. 2020;95-106
Preoperative prediction of regional lymph node metastasis of colorectal cancer based on 18F-FDG PET/CT and machine learning
Annals of Nuclear Medicine. 2021;35(5):617-627
A machine learning-based radiomics model for the prediction of axillary lymph-node metastasis in breast cancer
Breast Cancer. 2021;28(3):664-671
Machine Learning Model for Lymph Node Metastasis Prediction in Breast Cancer Using Random Forest Algorithm and Mitochondrial Metabolism Hub Genes
Applied Sciences. 2021;11(7):2897
Re: Noninvasive identification of lymph node metastasis in T1 colorectal cancer by transcriptomic panel based on liquid biopsy assay: additional analytical strategies are needed (GASTRO-D-21-01671)
Gastroenterology. 2021;
Development of a prediction model based on LASSO regression to evaluate the risk of non-sentinel lymph node metastasis in Chinese breast cancer patients with 1-2 positive sentinel lymph nodes
. 2020;
Clinical Aspects: Colorectal Cancer
Lymph Node Metastasis in Gastrointestinal Cancer. 2019;225-236
Tu1449 Potential Predictors of Lymph Node Metastasis in T1 Colorectal Cancer Based on Clinicopathological Findings: Significance of Poorly Differentiated Findings in the Infiltrated Region of a Tumor
Gastrointestinal Endoscopy. 2013;77(5):AB545