What question did this study set out to answer?

To develop a radiomic classifier that distinguishes between tumor recurrence and treatment effects in brain metastases.

April 19, 2026Open Access

Radiomics-based Differentiation of Recurrent Brain Metastases from Treatment Effects: A Multi-Institutional Comparative Study with Advanced Imaging

HUHyemin UmUniversity of Wisconsin–Madison MIMarwa IsmailUniversity of Wisconsin–Madison VHVirginia HillNorthwestern University

Key Points

To develop a radiomic classifier that distinguishes between tumor recurrence and treatment effects in brain metastases.
Utilized multi-institutional posttreatment MRI data
Constructed a radiomic classifier
Assessed the accuracy of classification against clinical imaging
Successfully differentiated between tumor recurrence and treatment effects
Accurately classified lesions that were indistinguishable in clinical imaging

Abstract

A radiomic classifier constructed from multi-institutional posttreatment MRI data reliably differentiated tumor recurrence from treatment effects in patients with brain metastases and accurately classified lesions that were indistinguishable at clinical imaging.

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Cite This Study

Um et al. (Fri,) studied this question.

synapsesocial.com/papers/69e472d8010ef96374d8eb95 https://doi.org/https://doi.org/10.1148/rycan.250435

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