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Abstract #1380

RADIOMICSĀ  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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