What question did this study set out to answer?

To evaluate the effectiveness of deep learning, radiomics, and radiologists in assessing lymph node metastasis in colorectal cancer.

May 17, 20260 citationsOpen Access

Complete Supplementary Materials for: Preoperative Evaluation of Lymph Node Metastasis in Colorectal Cancer by Deep Learning, Radiomics, and Radiologists: A Network Meta-Analysis to Guide Surgical Decision-Making

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JHJian He

Key Points

To evaluate the effectiveness of deep learning, radiomics, and radiologists in assessing lymph node metastasis in colorectal cancer.
Conducted a network meta-analysis using Bayesian diagnostic test accuracy methods.
Utilized PROBAST+AI for risk-of-bias assessments and GRADE for certainty evaluation.
Included supplementary tables, figures, and detailed search strategies.
Presented detailed reporting checklists and assessments of bias and certainty.
Included meta-regression results and additional model tables for comprehensive evaluation.

Abstract

This record contains the complete supplementary materials for the manuscript entitled "Preoperative Evaluation of Lymph Node Metastasis in Colorectal Cancer by Deep Learning, Radiomics, and Radiologists: A Network Meta-Analysis to Guide Surgical Decision-Making." The materials include reporting checklists, detailed search strategies, PROBAST+AI risk-of-bias assessments, GRADE certainty assessments, Bayesian diagnostic test accuracy network meta-analysis methods, additional study and model tables, meta-regression results, and supplementary figures.

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Cite This Study

Jian He (Fri,) studied this question.

synapsesocial.com/papers/6a095c5d7880e6d24efe27ba https://doi.org/https://doi.org/10.5281/zenodo.20202032

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