The objective of this study was to develop and externally validate complementary magnetic resonance imaging (MRI)-based models and their stacked combinations for preoperative World Health Organization (WHO) grading of intracranial meningioma. This retrospective multicenter study included 455 histopathologically confirm...
Cagin Huryol, Umid Sulaimanov, Murat Yuce et al.· Journal of Neuro-Oncology· 0 citations
BACKGROUND
Management of asymptomatic carotid stenosis (ACS) remains controversial, particularly as contemporary optimal medical therapy (OMT) has evolved beyond the aspirin-based regimens used in earlier trials. We performed a meta-analysis comparing carotid revascularization plus OMT versus OMT alone in patients with...
M. M. Al-Salihi, M. S. Al-Jebur, Adam Rizvi et al.· Journal of Neuroimaging· 0 citations
In this multicenter study, which included external validation, clinical variables provided most of the predictive value for postoperative residual meningioma, whereas radiomic features provided only limited incremental value when added to the clinical model.
Nafiye Şanlıer, Murat Yuce, Umid Sulaimanov et al.· Neurosurgical Focus· 0 citations
It is shown that LLM-assisted extraction in neuroimaging AI is a complexity-stratified workflow design problem: low-complexity neuroimaging variables may be selectively automated, while medium-complexity variables require rapid verification, and high-complexity methodological variables should remain human-led.
Nafiye Şanlıer, Umid Sulaimanov, Ariorad Moniri et al.· Journal of Clinical Medicine· 0 citations
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