Mp30-02 Retrospective Validation of a Computer AIded Diagnosis System Based on Multiparametric Transrectal Ultrasound for the Localization of Clinically Significant Prostate Cancer

You have accessJournal of UrologyImaging/Uroradiology II (MP30)1 May 2024MP30-02 RETROSPECTIVE VALIDATION OF A COMPUTER AIDED DIAGNOSIS SYSTEM BASED ON MULTIPARAMETRIC TRANSRECTAL ULTRASOUND FOR THE LOCALIZATION OF CLINICALLY SIGNIFICANT PROSTATE CANCER Daniel L. van den Kroonenberg, Auke Jager, Arnoud W. Postema, Katelijne de Bie, Marinus J. Hagens, Hessel Wijkstra, Peet T. G. A. Nooijen, Hans van der Linden, Joost de Baaij, Jean-Peal A. van Basten, Pim J. van Leeuwen, Henk G. van der Poel, Harrie P. Beerlage, Massimo Mischi, and Jorg R. Oddens Daniel L. van den KroonenbergDaniel L. van den Kroonenberg , Auke JagerAuke Jager , Arnoud W. PostemaArnoud W. Postema , Katelijne de BieKatelijne de Bie , Marinus J. HagensMarinus J. Hagens , Hessel WijkstraHessel Wijkstra , Peet T. G. A. NooijenPeet T. G. A. Nooijen , Hans van der LindenHans van der Linden , Joost de BaaijJoost de Baaij , Jean-Peal A. van BastenJean-Peal A. van Basten , Pim J. van LeeuwenPim J. van Leeuwen , Henk G. van der PoelHenk G. van der Poel , Harrie P. BeerlageHarrie P. Beerlage , Massimo MischiMassimo Mischi , and Jorg R. OddensJorg R. Oddens View All Author Informationhttps://doi.org/10.1097/01.JU.0001009416.90901.7b.02AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Ultrasound (US) is a widely available and cost-effective imaging modality but lacks diagnostic accuracy for prostate cancer (PCa) detection. Computer-aided diagnostic (CAD) systems are a promising tool to increase this accuracy. The aim of this study is to assess the diagnostic performance of a CAD system based on 3D multiparametric transrectal prostate ultrasound (3D mpUS) for the detection of clinically significant prostate cancer (csPCa). METHODS: The evaluated CAD system was developed using artificial intelligence and trained using 3D mpUS images from "positive" patients undergoing radical prostatectomy (RP) and "negative" patients with suspicion for PCa but with negative MRI (PIRADS≤2) or negative systematic biopsies. 3D mpUS consisted of 3D grayscale, 4D contrast-enhanced ultrasound, and 3D shear wave elastography. Histopathology of RP specimen was used as ground truth, csPCa was defined as Gleason group≥2. Performance was assessed by comparing the CAD prediction with the ground truth on the US images. Visual assessment determined if targeted biopsies would result in detection of csPCa. Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were calculated on lesion level (any lesion of csPCa) and on index lesion level (lesion with highest ISUP of≥0.5 cc). RESULTS: Based on a retrospective validation of 220 patients, the sensitivity and specificity were 81.2% (74.1 – 87.0) and 39.3% (27.1 – 52.7) on lesion level for the detection of csPCa, with a ROC AUC of 0.60 (0.53 – 0.67). The PPV and NPV were 77.3% (69.9 – 83.4) and 45.1% (31.6 – 59.6). On index lesion level, the sensitivity was 74.7% (67.1 – 81.3). For csPCa defined as Gleason Group≥3, the sensitivity was 88.4% (80.5 – 93.8). This study is limited as the study cohort holds a significantly higher prevalence of csPCa than a general population. Moreover, the performance was assessed through visually simulating the target biopsy procedure and not by taking actual targeted biopsies. CONCLUSIONS: The diagnostic accuracy of a CAD system based on mpUS shows robust (simulated) detection of PCa at (index) lesion level and is similar to that of MRI. Prospective clinical validation is needed to further investigate the non-inferiority compared to MRI. Download PPT Source of Funding: European Innovation Council (EIC) transition Angiogenesis Analytics © 2024 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 211Issue 5SMay 2024Page: e490 Advertisement Copyright & Permissions© 2024 by American Urological Association Education and Research, Inc.Metrics Author Information Daniel L. van den Kroonenberg More articles by this author Auke Jager More articles by this author Arnoud W. Postema More articles by this author Katelijne de Bie More articles by this author Marinus J. Hagens More articles by this author Hessel Wijkstra More articles by this author Peet T. G. A. Nooijen More articles by this author Hans van der Linden More articles by this author Joost de Baaij More articles by this author Jean-Peal A. van Basten More articles by this author Pim J. van Leeuwen More articles by this author Henk G. van der Poel More articles by this author Harrie P. Beerlage More articles by this author Massimo Mischi More articles by this author Jorg R. Oddens More articles by this author Expand All Advertisement PDF downloadLoading ...