Regression modeling with convolutional neural network for predicting extent of resection from preoperative MRI in giant pituitary adenomas: a pilot study
CNN-based models may effectively predict the EOR for GPAs from preoperative MRI scans, offering a promising tool for presurgical assessment and patient counseling. Confirmatory studies with large patient samples are needed to definitively validate these findings.
Authors
- Alejandra Rodas (ORCID: https://orcid.org/0000-0002-7868-7098)
- B. Patel (ORCID: https://orcid.org/0000-0001-7263-9776)
- Justin Maldonado (ORCID: https://orcid.org/0000-0001-7685-6460)
- Gustavo Pradilla (ORCID: https://orcid.org/0000-0002-3661-3269)
- C. Arturo Solares (ORCID: https://orcid.org/0000-0002-2794-5034)
- Leonardo Tariciotti (ORCID: https://orcid.org/0000-0002-5942-6677)
- Tomás Garzón-Muvdi (ORCID: https://orcid.org/0000-0002-2198-9757)
- J. Manuel Revuelta Barbero (ORCID: https://orcid.org/0000-0002-6426-2734)
- Camilo Reyes (ORCID: https://orcid.org/0000-0003-1405-8185)
- Youssef M. Zohdy (ORCID: https://orcid.org/0000-0001-6089-4833)
- Samir Lohana
- Silvia M. Vergara
- Erion Jr. De Andrade
- Lorenzo DiRocco
- Antonio Mandile
Institutions
- Emory University (US)
- University of Milan (IT)
- Sapienza University of Rome (IT)
Publication Details
- Journal
- Journal of neurosurgery
- Published
- 2025-02-21
- DOI
- https://doi.org/10.3171/2024.10.jns241527
- Primary Topic
- Pituitary Gland Disorders and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00