Radiomics for differentiation of somatic BAP1 mutation on CT scans of patients with pleural mesothelioma

This proof-of-concept work demonstrated the potential of radiomics to differentiate among <i>BAP1+/-</i> in patients with PM. Future work will extend these methods to the assessment of germline <i>BAP1</i> mutation status through image analysis for improved patient prognostication.

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Publication Details

Journal
Journal of Medical Imaging
Published
2024-12-11
DOI
https://doi.org/10.1117/1.jmi.11.6.064501
Citations
1
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.40

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article

Radiomics for differentiation of somatic BAP1 mutation on CT scans of patients with pleural mesothelioma

Samuel G. Armato, Owen Mitchell, Mena Shenouda, Abbas Shaikh et al.
1 citations
Journal of Medical Imaging
Radiomics and Machine Learning in Medical Imaging
0.40
article

Radiomics for differentiation of somatic BAP1 mutation on CT scans of patients with pleural mesothelioma

Samuel G. Armato, Owen Mitchell, Mena Shenouda, Abbas Shaikh, Hedy L. Kindler, I. Deutsch
article en
1 citations

Abstract

This proof-of-concept work demonstrated the potential of radiomics to differentiate among <i>BAP1+/-</i> in patients with PM. Future work will extend these methods to the assessment of germline <i>BAP1</i> mutation status through image analysis for improved patient prognostication.

Journal of Medical ImagingVol. 11(06)
Northwestern University (US), University of Chicago (US), Rice University (US)
University of Chicago, National Institutes of Health
Good health and well-being
Openalex Percentile: Top 32%
Radiomics and Machine Learning in Medical Imaging
0.40
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