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Dataset Information

MRI quantitative imaging biomarkers in differentiating brain parenchymal tuberculoma and lung cancer brain metastases.


ABSTRACT:

Background

Brain parenchymal tuberculoma (BT) and brain metastases (BM) originating from lung cancer often exhibit overlapping clinical and imaging features, making accurate differentiation challenging. Current diagnostic approaches remain suboptimal.

Purpose

This study aimed to develop a radiomics-based MRI model to differentiate BT from BM and enhance model interpretability using Shapley Additive Explanations (SHAP) analysis.

Material and methods

This retrospective study involved 175 patients (97 with BT and 78 with BM) treated at Hangzhou Red Cross Hospital from January 2018 to March 2024, encompassing 1014 lesions (581 in BT and 433 in BM). Patients were randomly divided into training (n = 122) and test sets (n = 53) in a 7:3 ratio. MRI images were segmented and p

SUBMITTER: Wang A 

PROVIDER: S-EPMC12709712 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature