Volumetric tumor segmentation according to diffusion-weighted MRI data in predicting and evaluating the response to chemotherapy in bladder cancer

The purpose of the study was to develop and evaluate technique for volumetric tumor segmentation based on diffusion-weighted magnetic resonance imaging (DW-MRI) in predicting assessing response chemotherapy patients with bladder cancer (BC). Material Methods . We examined 26 morphologically verified transitional cell carcinoma bladder. group characterized by presence one or several tumors a size 17 46 mm. Before planning according M-VAC scheme, post-processing DW-MRI lesions, assessment volume apparent diffusion coefficient (ADC) entire mass were performed. According ADC data, shape its relation wall, (C) calculated. Results In cases value below 0.51, high risk treatment failure predicted, at C≥0.74, positive effect predicted. With 0.51≤C<0.74, prognosis uncertain, stabilization more likely. sensitivity specificity method 92.3 % 92.4 %, respectively. Conclusion makes it possible predict sufficiently accuracy. advantages are possibility regardless degree filling bladder, non-contrast MRI, large lesions.