Article

MRI radiomics-based machine learning for preoperative prediction of Simpson grade in intracranial meningiomas: a pilot study

2026-02-11

Abstract excerpt

<title>Abstract</title> <p>Background: meningiomas are the most frequent primary central nervous system tumors, and extent of resection is a key determinant of long-term tumor control. Quantitative preoperative MRI radiomics may support surgical planning by estimating the likelihood of achieving Simpson grade I versus II resection. This study evaluated the feasibility of an MRI radiomics-based machine learning ap...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: b55debf6-1d0b-56a4-9b21-5aaf1c85940e
DOI: 10.21203/rs.3.rs-8704777/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

MRI radiomics-based machine learning for preoperative prediction of Simpson grade in intracranial meningiomas: a pilot studyDOI 10.21203/rs.3.rs-8704777/v1Read

Using MRI-Based machine Learning model for distinguishing Meningothelial and Transitional Meningiomas : A Retrospective StudySemantic proximity Read

Comparison of MRI Sequences to Predict IDH Mutation Status in Gliomas Using Radiomics-Based Machine LearningSemantic proximity Read

Predicting Survival in Patients with Glioblastoma Using MRI Radiomic Features Extracted from Radiation Planning VolumesSemantic proximity Read

Predicting one-year postoperative functional status in contrast-enhancing gliomaSemantic proximity Read

Lesion location implemented magnetic resonance imaging radiomics for predicting IDH and TERT promoter mutations in grade II/III gliomas.Semantic proximity Read

Development and validation of a radiomics nomogram for preoperative prediction of BRAFV600E mutation status in adult patients with craniopharyngioma.Semantic proximity Read

Machine learning-based radiomics model for accurately predicting subtypes of neuroblastoma in children: A retrospective analysisSemantic proximity Read

Multiparametric MRI-based radiomics combined with machine learning for preoperative differentiation of luminal A and luminal B breast cancer: a multicenter studySemantic proximity Read

Survival Risk Stratification in Glioma from Multimodal MRI: An Interpretable Tool for Preoperative Treatment PlanningSemantic proximity Read

Machine learning and radiomic phenotyping of lower grade gliomas: improving survival prediction.Semantic proximity Read

Development and validation of a knowledge-guided prognostic model in glioma based on hypoxia-related radiomic featuresSemantic proximity Read

Deep Learning for Automated Meningioma Segmentation: Toward Clinical Integration and Workflow EfficiencySemantic proximity Read