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Sep 2026

Preoperative magnetic resonance imaging-based nomogram for predicting overall survival in patients with glioma: a multicenter study.

BACKGROUND Glioma prognostication relies on histopathological and molecular assessment requiring tissue sampling. Accessible tools for noninvasive preoperative prognostication remain limited. METHODS This multicenter retrospective study included 1992 patients (1207 in the training dataset [TD] and 785 in the external...

Yu-Wei Liu, Jun Qiu, Ying Jin et al. · 0 citations
Open access Sep 2026

Deep Learning Pipeline for Automatic Segmentation, Classification, and Molecular Subtyping of Three Pediatric Posterior Fossa Tumors Using T2-Weighted MRI.

BACKGROUND Pediatric posterior fossa tumors vary in malignancy, treatment, and prognosis across tumor types and molecular subtypes, yet noninvasive preoperative differentiation remains challenging. PURPOSE To develop a deep learning (DL) pipeline using T2-weighted (T2w) MR images to automatically segment pediatric po...

Ying Jin, Yang-Yang Li, Ren-Long Zhang et al. · 0 citations

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