Tobias Krauss1, Hannes Engel1, Cordula A Jilg2, Christian Gratzke2, Fabian Bamberg1, Matthias Benndorf3. 1. Department of Radiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Straße 55, 79106 Freiburg, Germany. 2. Department of Urology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Straße 55, 79106 Freiburg, Germany. 3. Department of Radiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Straße 55, 79106 Freiburg, Germany. Electronic address: matthias.benndorf@uniklinik-freiburg.de.
Abstract
PURPOSE: To determine the value of a radiomics MRI phenotype of the transition zone to explain PSA level in patients with low suspicion for clinically significant cancer to confirm hyperplastic changes. MATERIALS AND METHODS: T2 weighted images from 36 consecutive PI-RADS 2 and 3 cases with volume adapted systematic transperineal biopsy as reference standard (all biopsies negative, 34.8 biopsy cores per patient in average, mean PSA level 10.77 ng/mL) are manually segmented to define transition zone (TZ) volume. 54 radiomic features (RF) are derived for each TZ. RF are tested for significant correlation with PSA level, Bonferroni correction is applied. We build regression models to explain PSA level with a) TZ volume b) RF c) TZ volume+RF. We apply all models to a control group with clinically significant transition zone cancer. RESULTS: TZ volume is moderately correlated with PSA level (r = 0.44). 5/54 RF are significantly correlated with PSA level (r: 0.53-0.69, p < 0.05). Inclusion of each of these five features into the regression model significantly improves the explanatory value for PSA level (p < 0.05). Furthermore, RF alone better explain PSA level compared to TZ volume alone (p < 0.01). A systematic and significant trend for positive residuals is observed when regression models are applied to the malignant control group. CONCLUSION: A radiomics analysis of the transition zone has the potential to improve explanation of corresponding PSA level in patients with low suspicion. This knowledge may reassure radiologists to read prostate MRI cases as unremarkable, despite present hyperplastic changes.
PURPOSE: To determine the value of a radiomics MRI phenotype of the transition zone to explain PSA level in patients with low suspicion for clinically significant cancer to confirm hyperplastic changes. MATERIALS AND METHODS: T2 weighted images from 36 consecutive PI-RADS 2 and 3 cases with volume adapted systematic transperineal biopsy as reference standard (all biopsies negative, 34.8 biopsy cores per patient in average, mean PSA level 10.77 ng/mL) are manually segmented to define transition zone (TZ) volume. 54 radiomic features (RF) are derived for each TZ. RF are tested for significant correlation with PSA level, Bonferroni correction is applied. We build regression models to explain PSA level with a) TZ volume b) RF c) TZ volume+RF. We apply all models to a control group with clinically significant transition zone cancer. RESULTS:TZ volume is moderately correlated with PSA level (r = 0.44). 5/54 RF are significantly correlated with PSA level (r: 0.53-0.69, p < 0.05). Inclusion of each of these five features into the regression model significantly improves the explanatory value for PSA level (p < 0.05). Furthermore, RF alone better explain PSA level compared to TZ volume alone (p < 0.01). A systematic and significant trend for positive residuals is observed when regression models are applied to the malignant control group. CONCLUSION: A radiomics analysis of the transition zone has the potential to improve explanation of corresponding PSA level in patients with low suspicion. This knowledge may reassure radiologists to read prostate MRI cases as unremarkable, despite present hyperplastic changes.
Authors: Hannes Engel; Benedict Oerther; Marco Reisert; Elias Kellner; August Sigle; Christian Gratzke; Peter Bronsert; Tobias Krauss; Fabian Bamberg; Matthias Benndorf Journal: In Vivo Date: 2022 Sep-Oct Impact factor: 2.406
Authors: Matteo Ferro; Ottavio de Cobelli; Gennaro Musi; Francesco Del Giudice; Giuseppe Carrieri; Gian Maria Busetto; Ugo Giovanni Falagario; Alessandro Sciarra; Martina Maggi; Felice Crocetto; Biagio Barone; Vincenzo Francesco Caputo; Michele Marchioni; Giuseppe Lucarelli; Ciro Imbimbo; Francesco Alessandro Mistretta; Stefano Luzzago; Mihai Dorin Vartolomei; Luigi Cormio; Riccardo Autorino; Octavian Sabin Tătaru Journal: Ther Adv Urol Date: 2022-07-04