AB066. From imaging to molecular diagnosis: VASARI magnetic resonance imaging features to predict isocitrate dehydrogenase mutation status in glioma
The VASARI MRI feature set is a reliable method for evaluating glioma patients and is feasible for routine radiological practice. Several VASARI features significantly associate with IDH mutation status, aiding glioma patient management. The IDH mutation prediction model based on VASARI features performs excellently and warrants further validation before routine implementation.
Authors
- Nurhuda Hendra Setyawan (ORCID: https://orcid.org/0000-0001-5782-5933)
- Ery Kus Dwianingsih (ORCID: https://orcid.org/0000-0002-0484-7773)
- Rachmat Andi Hartanto (ORCID: https://orcid.org/0000-0001-5991-0162)
- Rusdy Ghazali Malueka (ORCID: https://orcid.org/0000-0001-6835-0638)
Institutions
- Universitas Gadjah Mada (ID)
Publication Details
- Journal
- Chinese Clinical Oncology
- Published
- 2024-08-01
- DOI
- https://doi.org/10.21037/cco-24-ab066
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00