Abstract #1380

RADIOMICS of advanced multiparmetric MRI in posterior fossa tumors is supreme to the domain wizards! A pilot study

Shanker Raja¹, Sarah Farooq², William Plishker³, Ali Daghriri⁴, Sadeq Wasil Al-Dandan⁵, Abdullah Ali Alrashed⁴, Muhammad Usman Manzoor⁶, and Sharad George⁷

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

We uniquely extracted textural features from multiple sequences of advanced FMRI to preoperatively differentiate posterior fossa tumor histology. Furthermore, as opposed to recently published work (1,3,4) we found that in our series, textural feature subset derived from perfusion images is slightly superior to those of ADC maps. In addition, as expected, the observations from this work concurs that RADIOMICS is definitely on par and probably surpasses domain experts in this endevour.

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