Noninvasive MGMT-promotor methylation prediction in high grade gliomas using conventional MRI and deep learning-based segmentations.
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| Title: | Noninvasive MGMT-promotor methylation prediction in high grade gliomas using conventional MRI and deep learning-based segmentations. |
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| Authors: | Zahirovic E; Division of Radiology, Department of Clinical Sciences, Skåne University Hospital, Lund University, Lund, Sweden., Salomonsson T; Division of Radiology, Department of Clinical Sciences, Skåne University Hospital, Lund University, Lund, Sweden., Knutsson M; Division of Radiology, Department of Clinical Sciences, Skåne University Hospital, Lund University, Lund, Sweden., Sarda XS; Division of Pathology, Department of Clinical Sciences, Skåne University Hospital, Lund University, Lund, Sweden., Lätt J; Department of Medical Imaging and Physiology, Skåne University Hospital, Lund, Sweden., Kinhult S; Department of Clinical Sciences, Division of Oncology, Lund University, Lund, Sweden., Belting M; Department of Clinical Sciences, Division of Oncology, Lund University, Lund, Sweden., Rydelius A; Division of Neurology, Department of Clinical Sciences, Skåne University Hospital, Lund University, Lund, Sweden., Bengzon J; Kamprad Laboratory, Division of Neurosurgery, Department of Clinical Sciences, Skåne University Hospital, Lund University, Lund, Sweden., Knutsson L; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States.; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States.; Department of Medical Radiation Physics, Lund University, Lund, Sweden., Sundgren PC; Division of Radiology, Department of Clinical Sciences, Skåne University Hospital, Lund University, Lund, Sweden.; Department of Medical Imaging and Physiology, Skåne University Hospital, Lund, Sweden.; Lund University Bioimaging Center (LBIC), Lund University, Lund, Sweden. |
| Source: | Frontiers in neuroscience [Front Neurosci] 2025 Dec 16; Vol. 19, pp. 1689003. Date of Electronic Publication: 2025 Dec 16 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101478481 Publication Model: eCollection Cited Medium: Print ISSN: 1662-4548 (Print) Linking ISSN: 1662453X NLM ISO Abbreviation: Front Neurosci Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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