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Article

An integrated explainable machine learning model for post-treatment peritumoral edema formation in Gamma Knife radiosurgery of meningioma

2026-05-19

Abstract excerpt

<title>Abstract</title> <p> <bold>Purpose:</bold> Peritumoral edema is a frequent complication of meningiomas and may be exacerbated or newly induced following stereotactic radiosurgery (SRS). We developed an integrated machine learning model incorporating radiomic, clinical, and dosimetric features to predict de novo edema formation after Gamma Knife radiosurgery (GKRS), and applied explainable artificial inte...

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Literature Corpus work
a7c5cd26-1f7f-5f04-af3b-802e68b4a815
DOI
10.21203/rs.3.rs-9640465/v1
Open publication

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An integrated explainable machine learning model for post-treatment peritumoral edema formation in Gamma Knife radiosurgery of meningiomaDOI 10.21203/rs.3.rs-9640465/v1
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