Publications by authors named "H Cash"
Background: The Prostate Imaging-Reporting and Data System (PI-RADS) calls for reporting the prostate index lesion and the location within the transition (TZ) or peripheral zone (PZ) and location on a corresponding sector map. The aim of this study was to train a deep learning DL-based algorithm for automatic prostate sector mapping and to validate its' performance.
Methods: An automatic 24-sector grid-map (ASG) of the prostate was developed, based on an automatic zone-specific deep learning segmentation of the prostate.
Article Synopsis
- The study examined the effectiveness of using multiparametric MRI (mpMRI) as a diagnostic tool for identifying clinically significant prostate cancer (csPCa) and its impact on managing biopsy decisions in men suspected of having the disease.
- Conducted over three years at multiple urology practices in Berlin, the trial monitored participants with either positive or negative mpMRI results, allowing for a better understanding of patient outcomes and the safety of the protocol.
- Results indicated that a significant number of men avoided unnecessary biopsies over time, with a small percentage of those initially deemed negative later diagnosed with csPCa, suggesting the monitoring strategy may be feasible and safe for patients.
Blunt abdominopelvic trauma frequently results in injuries to the urinary organs, especially in polytrauma. The urotrauma is rarely an acute life-threatening event; however, it may lead to severe complications. This review addresses the under-representation of urological trauma management in interdisciplinary medical training and its impact on patient outcomes.
View Article and Find Full Text PDFProstate cancer detection and complications of MRI-targeted prostate biopsy using cognitive registration, software-assisted image fusion or in-bore guidance: a systematic review and meta-analysis of comparative studies.
Prostate Cancer Prostatic Dis
April 2024
Background: Three primary strategies for MRI-targeted biopsies (TB) are available: Cognitive TB (COG-TB), MRI-US Fusion TB (FUS-TB), and In Bore TB (IB-TB). Despite nearly a decade of practice, a consensus on the preferred approach is lacking, with previous studies showing comparable PCa detection rates among the three methods.
Methods: We conducted a search of PubMed, EMBASE, PubMed, Web of Science, and Scopus databases from 2014 to 2023, to identify studies comparing at least two of the three methods and reporting clinically significant PCa (csPCa) detection rates.
Article Synopsis
- The study aimed to improve prostate cancer biopsy decision strategies by combining zone-specific prostate-specific antigen density (sPSAD) with the PI-RADS system.
- Using a deep learning system, researchers segmented MRI images to calculate sPSAD for the whole gland and transition zone, yielding better detection rates for significant prostate cancer compared to traditional methods.
- The findings indicated that adopting sPSAD reduced false positives and enhanced specificity in biopsy decisions, particularly in cases classified as PI-RADS 3, while still maintaining high sensitivity for detecting more serious cancer cases.