What question did this study set out to answer?

This research aims to evaluate the accuracy and reproducibility of tumor size measurements using a deep-learning clinical decision support system (CDSS) in lung cancer.

March 13, 2026Open Access

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Accuracy and reproducibility of tumor size measurement using a deep-learning–based CDSS in resected lung cancer

EKEun Young KimGachon University JKJun Seong KimGachon University KJKwang Nam JinSeoul National University

Key Points

This research aims to evaluate the accuracy and reproducibility of tumor size measurements using a deep-learning clinical decision support system (CDSS) in lung cancer.
Conducted as a real-world multicenter study.
Utilized a deep-learning based clinical decision support system (CDSS) for measurement.
Analyzed tumor size in resected lung cancer samples.
The CDSS provided consistent tumor size measurements across different centers.
Measurements were objective, supporting standardization of assessments.

Abstract

This real-world multicenter study demonstrates that the CDSS provides consistent and objective tumor size measurements, supporting its potential utility in standardizing preoperative lung cancer assessment.

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Cite This Study

Kim et al. (Tue,) studied this question.

synapsesocial.com/papers/69b3ab4c02a1e69014ccc075 https://doi.org/https://doi.org/10.1371/journal.pone.0344445

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