Prognostic Modeling of Overall Survival in Glioblastoma Using Radiomic Features Derived from Intraoperative Ultrasound: A Multi-Institutional Study
Intraoperative ultrasound relies on acoustic properties for tissue characterization, capturing unique features of glioblastomas. This study demonstrated that radiomic features derived from this imaging modality have the potential to support the development of survival models.
Authors
- O Esteban Sinovas (ORCID: https://orcid.org/0000-0002-4917-877X)
- Massimiliano Del Bene (ORCID: https://orcid.org/0000-0002-6672-9721)
- Ilyess Zemmoura (ORCID: https://orcid.org/0000-0002-6241-6955)
- Santiago Cepeda (ORCID: https://orcid.org/0000-0003-1667-8548)
- Arianna Barbotti (ORCID: https://orcid.org/0000-0003-2315-5614)
- Francesco DiMeco (ORCID: https://orcid.org/0000-0001-6213-5793)
- Ignacio Arrese (ORCID: https://orcid.org/0000-0002-5575-9423)
- Aliasgar Moiyadi (ORCID: https://orcid.org/0000-0002-4082-2004)
- Timothy R. West (ORCID: https://orcid.org/0000-0002-6444-6939)
- Brian V. Nahed (ORCID: https://orcid.org/0000-0001-8537-106X)
- Giuseppe Roberto Giammalva (ORCID: https://orcid.org/0000-0001-6309-8963)
- Rosario Sarabia (ORCID: https://orcid.org/0000-0003-2576-7518)
- Vikas Singh (ORCID: https://orcid.org/0000-0001-7991-6772)
Institutions
- Université de Tours (FR)
- Harvard University (US)
- Johns Hopkins University (US)
- Inserm (FR)
- University of Milan (IT)
- Homi Bhabha National Institute (IN)
- Tata Memorial Hospital (IN)
- Massachusetts General Hospital (US)
- Centre Hospitalier Universitaire de Tours (FR)
- Azienda di Rilievo Nazionale ed Alta Specializzazione (IT)
- Neurological Surgery (US)
- Hospital Universitario Río Hortega (ES)
- Fondazione IRCCS Istituto Neurologico Carlo Besta (IT)
- Mass General Brigham (US)
Publication Details
- Journal
- Cancers
- Published
- 2025-01-16
- DOI
- https://doi.org/10.3390/cancers17020280
- Citations
- 2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.72