Publications by authors named "Sulaiman A Sheriff"
Article Synopsis
- Recurrence of high-grade gliomas is common even after the best treatment, and current imaging methods can't effectively predict when it will happen.
- A new whole-brain magnetic resonance spectroscopy (WB-MRS) method was tested, focusing on tumor microenvironments to improve understanding of glioma progression and assist in treatment decisions.
- By analyzing tumor metabolites and using machine learning techniques on data from 16 patients, researchers were able to predict glioma progression, particularly identifying key features that indicate future growth.
Background: Glioblastomas (GBMs) are aggressive brain tumors despite radiation therapy (RT) to 60 Gy and temozolomide (TMZ). Spectroscopic magnetic resonance imaging (sMRI), which measures levels of specific brain metabolites, can delineate regions at high risk for GBM recurrence not visualized on contrast-enhanced (CE) MRI. We conducted a clinical trial to assess the feasibility, safety, and efficacy of sMRI-guided RT dose escalation to 75 Gy for newly diagnosed GBMs.
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