Diagnosing growth in low-grade gliomas with and without artificial intelligence-measured longitudinal volume measurements: A retrospective observational study

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Authors

Hassan M. Fathallah‐Shaykh · University of Alabama at Birmingham

Houman Sotoudeh · The University of Texas Southwestern Medical Center

Markus Bredel · University of Miami

Alex C. Whitley · Alabama Department of Rehabilitation Services

Jinsuh Kim · Emory University

Fanny Morón · Baylor College of Medicine

Fabio Raman

Abstract

These findings highlight the clinical potential of AI-assisted volumetric analysis followed by physician oversight for the timely detection of tumor progression in LGG patients.

Topics & Keywords

Glioma Diagnosis and Treatment Advanced MRI Techniques and Applications Cerebrospinal fluid and hydrocephalus

Publication Details

Published in: Neuro-Oncology Advances

Volume 8, Issue 1, pp. vdaf271-vdaf271

DOI: 10.1093/noajnl/vdaf271

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Diagnosing growth in low-grade gliomas with and without artificial intelligence-measured longitudinal volume measurements: A retrospective observational study

Authors

Abstract

Topics & Keywords

Publication Details