Multimodal deep learning improves recurrence risk prediction in pediatric low-grade gliomas
DL extracts imaging features that can inform postoperative recurrence prediction for pLGG. Multimodal DL improves postoperative risk stratification for pLGG and may guide postoperative decision-making. Larger, multicenter training data may be needed to improve model generalizability.
Authors
- Hugo J.W.L. Aerts (ORCID: https://orcid.org/0000-0002-2122-2003)
- Tina Young Poussaint (ORCID: https://orcid.org/0000-0002-0814-0791)
- Hemin Ali Qadir (ORCID: https://orcid.org/0000-0002-9271-5040)
- Keith L. Ligon (ORCID: https://orcid.org/0000-0002-7733-600X)
- Ariana Familiar (ORCID: https://orcid.org/0000-0002-9315-8653)
- Rishi Chopra (ORCID: https://orcid.org/0009-0006-3247-1204)
- Kevin X. Liu (ORCID: https://orcid.org/0000-0003-2071-5137)
- Benjamin H. Kann (ORCID: https://orcid.org/0000-0002-4313-2754)
- Ilangko Balasingham
- Sridhar Vajapeyam (ORCID: https://orcid.org/0000-0002-1782-1919)
- Sanjay P. Prabhu (ORCID: https://orcid.org/0000-0003-0871-115X)
- Sabine Mueller (ORCID: https://orcid.org/0000-0001-5184-1254)
- Anna Zapaishchykova (ORCID: https://orcid.org/0000-0001-6860-9160)
- Jirapat Likitlersuang (ORCID: https://orcid.org/0000-0002-9713-4587)
- Ali Nabavizadeh (ORCID: https://orcid.org/0000-0002-0380-4552)
- Daphne Adele Haas-Kogan (ORCID: https://orcid.org/0000-0002-2378-4800)
- Pratiti Bandopadhayay (ORCID: https://orcid.org/0000-0002-4175-4760)
- Aidan Boyd (ORCID: https://orcid.org/0000-0001-9756-0570)
- Zezhong Ye (ORCID: https://orcid.org/0000-0003-0369-7432)
- Maryamalsadat Mahootiha (ORCID: https://orcid.org/0000-0003-3964-8114)
- Divyanshu Tak
- Juan Carlos Pardo
- Hesham Elhalawani (ORCID: https://orcid.org/0000-0001-9848-2623)
Institutions
- Oslo University Hospital (NO)
- Brigham and Women's Hospital (US)
- Boston Children's Hospital (US)
- Children's Hospital of Philadelphia (US)
- Harvard University (US)
- University of California, San Francisco (US)
- University of Oslo (NO)
- Norwegian University of Science and Technology (NO)
- Maastricht University (NL)
- Dana-Farber Cancer Institute (US)
- Neurological Surgery (US)
- Dana-Farber Brigham Cancer Center (US)
- Mass General Brigham (US)
- University of Pennsylvania (US)
Publication Details
- Journal
- Neuro-Oncology
- Published
- 2024-08-30
- DOI
- https://doi.org/10.1093/neuonc/noae173
- Citations
- 21
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 9.20
Funders
- National Institutes of Health
- National Cancer Institute