Article

Delta-Enhanced CT-Based 2.5D Deep Learning Model for Noninvasive Prediction of Leptomeningeal Metastasis in Lung Adenocarcinoma

2026-03-16

Abstract excerpt

<title>Abstract</title> <p>Leptomeningeal metastasis (LM) is a devastating complication of lung adenocarcinoma, the current diagnosis of which relies on invasive cerebrospinal fluid cytology or costly MRI, both of which are limited in sensitivity and accessibility. To enable early, noninvasive LM risk prediction, we developed a 2.5D delta-radiomics deep learning framework based on routinely acquired contrast-enha...

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Literature Corpus work: 12aa2997-1e7a-5e7e-96d7-0cf364701bda
DOI: 10.21203/rs.3.rs-9115524/v1

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