Mona Alameldin

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About

Mona Alameldin is a researcher whose work sits at the critical intersection of radiology and urology, with a primary focus on improving the diagnostic accuracy of prostate cancer detection. Her most cited study, "Accuracy of cognitive MRI-targeted biopsy in hitting prostate cancer-positive regions of interest" (2015, 17 citations), represents a significant contribution to the field of image-guided biopsy. In this work, Alameldin systematically evaluated how effectively cognitive registration—a technique where a physician mentally fuses pre-procedural MRI data with real-time ultrasound—could guide biopsy needles to suspicious lesions identified on multiparametric MRI. Her findings provided crucial evidence on the reliability of this less technologically intensive approach, helping to validate its use in clinical settings where advanced fusion software may not be available. By quantifying the hit rate for cancer-positive regions, Alameldin’s research directly informed best practices for targeted biopsy protocols, ultimately aiming to reduce the number of unnecessary systematic biopsies while increasing the detection of clinically significant cancers. This work remains a foundational reference for clinicians seeking to optimize the balance between diagnostic yield and procedural complexity in prostate cancer care.