Deep learning volumetrics reveal distinct clinical trajectories for pediatric low-grade gliomas under surveillance: A multicenter study

Deep learning enables systematic, longitudinal, pLGG growth tracking and characterization of patients on surveillance, yielding insights into untreated tumor trajectories and progression risk. This pipeline is useful at population-level to study growth trends and at patient-level to guide personalized management.

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Publication Details

Journal
Neuro-Oncology Advances
Published
2025-01-01
DOI
https://doi.org/10.1093/noajnl/vdaf145
Primary Topic
Glioma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00

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article

Deep learning volumetrics reveal distinct clinical trajectories for pediatric low-grade gliomas under surveillance: A multicenter study

Hugo J.W.L. Aerts, Tina Young Poussaint, Keith Lloyd Ligon, Ariana Familiar et al.
Neuro-Oncology Advances
Glioma Diagnosis and Treatment
article

Deep learning volumetrics reveal distinct clinical trajectories for pediatric low-grade gliomas under surveillance: A multicenter study

Hugo J.W.L. Aerts, Tina Young Poussaint, Keith Lloyd Ligon, Ariana Familiar, Benjamin H. Kann, Sridhar Vajapeyam, Anna Zapaishchykova, John Zielke, Shahrooz Faghihroohi, Ali Nabavizadeh, Daphne Adele Haas-Kogan, Pratiti Bandopadhayay, Aidan Boyd, Zezhong Ye, Franziska Michor, Divyanshu Tak, Maryam Mahootiha, Ceilidh Smith, Sabine Mueller, Juan Carlos Pardo, Jacquelyn Jones
article en

Abstract

Deep learning enables systematic, longitudinal, pLGG growth tracking and characterization of patients on surveillance, yielding insights into untreated tumor trajectories and progression risk. This pipeline is useful at population-level to study growth trends and at patient-level to guide personalized management.

Neuro-Oncology AdvancesVol. 7(1)
Brigham and Women's Hospital (US), Boston Children's Hospital (US), Pennsylvania State University (US), Children's Hospital of Philadelphia (US), Harvard University (US), University of California, San Francisco (US), Maastricht University (NL), California University of Pennsylvania (US), Dana-Farber Cancer Institute (US), Boston Children's Museum (US), Dana-Farber Brigham Cancer Center (US), Artificial Intelligence in Medicine (Canada) (CA), Mass General Brigham (US), Technical University of Munich (DE), University of Pennsylvania (US)
William M. Wood Foundation, National Institutes of Health, National Cancer Institute
Good health and well-being
Openalex Percentile: Top 78%
Glioma Diagnosis and Treatment
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