Abstract #4358

Histogram analytics and data mining of multiparametric FMRI (perfusion, diffusion) in preoperative histologic prediction of posterior fossa tumors.

Shanker Raja¹, Ali Daghriri², Sadeq Wasil Al Dandan³, Tariq Ahmad Wani⁴, Muhammad Usman Manzoor⁵, Abdullah Ali Alrashed², Sarah Farooq⁶, William Plishker⁷, and Sharad George⁸

¹Radiology, Baylor College of Medicine, Bellaire, TX, United States, ²Medical Imaging, King Fahad Medical City, Riyadh, Saudi Arabia, ³Pathology and Laboratory Medicine, King Fahad Medical City, Riyadh, Saudi Arabia, ⁴KFMC-Riyadh, Riyadh, Saudi Arabia, ⁵Radiology, King Fahad Medical City, Riyadh, Saudi Arabia, ⁶King Fahad Medical City, Riyadh, Saudi Arabia, ⁷IGI Technologies, College Park, MD, United States, ⁸Johns Hopkins Aramco Healthcare, Dhahran, Saudi Arabia

Histogram metrics derived from a combination preoperative MRI: AFDC and perfusion maps, appear to be promising in differentiation of posterior tumors

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