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Abstract #0828

Comparison of T2WI and DWI qualitative assessment and T2W-based radiomic features for predicting complete response in patients with rectal cancer after neoadjuvant chemoradiotherapy

Natally Horvat1, HariniĀ  Veeraraghavan1, Monika Khan1, Ivana Blazic1, Junting Zheng1, Marinela Capanu1, Evis Sala1, Julio Garcia-Aguilar1, Marc J Gollub1, and Iva Petkovska1

1Memorial Sloan Kettering Cancer Center, New York, NY, United States

Radiomics is a novel science that encompasses a computer-based extraction of quantitative features from images. Some studies have demonstrated that radiomics may help distinguishing malignant from benign diseases. We hypothesize that radiomics extracted from T2WI may improve qualitative MRI assessment in the evaluating of complete response in patient with locally advanced rectal cancer after neoadjuvant chemoradiotherapy.

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