The impact of prostate volume estimation on the risk-adapted biopsy decision based on prostate-specific antigen density and magnetic resonance imaging score
Language English Country Germany Media electronic
Document type Journal Article
PubMed
38747982
DOI
10.1007/s00345-024-04962-x
PII: 10.1007/s00345-024-04962-x
Knihovny.cz E-resources
- Keywords
- MRI, Prostate cancer, Segmentation, Transrectal ultrasound, Volume estimation,
- MeSH
- Risk Assessment MeSH
- Clinical Decision-Making MeSH
- Middle Aged MeSH
- Humans MeSH
- Magnetic Resonance Imaging methods MeSH
- Multiparametric Magnetic Resonance Imaging MeSH
- Prostatic Neoplasms * pathology diagnostic imaging MeSH
- Prospective Studies MeSH
- Prostate * pathology diagnostic imaging MeSH
- Prostate-Specific Antigen * blood MeSH
- Aged MeSH
- Image-Guided Biopsy methods MeSH
- Organ Size MeSH
- Check Tag
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Aged MeSH
- Publication type
- Journal Article MeSH
PURPOSE: Utility of prostate-specific antigen density (PSAd) for risk-stratification to avoid unnecessary biopsy remains unclear due to the lack of standardization of prostate volume estimation. We evaluated the impact of ellipsoidal formula using multiparametric magnetic resonance (MRI) and semi-automated segmentation using tridimensional ultrasound (3D-US) on prostate volume and PSAd estimations as well as the distribution of patients in a risk-adapted table of clinically significant prostate cancer (csPCa). METHODS: In a prospectively maintained database of 4841 patients who underwent MRI-targeted and systematic biopsies, 971 met inclusions criteria. Correlation of volume estimation was assessed by Kendall's correlation coefficient and graphically represented by scatter and Bland-Altman plots. Distribution of csPCa was presented using the Schoots risk-adapted table based on PSAd and PI-RADS score. The model was evaluated using discrimination, calibration plots and decision curve analysis (DCA). RESULTS: Median prostate volume estimation using 3D-US was higher compared to MRI (49cc[IQR 37-68] vs 47cc[IQR 35-66], p < 0.001). Significant correlation between imaging modalities was observed (τ = 0.73[CI 0.7-0.75], p < 0.001). Bland-Altman plot emphasizes the differences in prostate volume estimation. Using the Schoots risk-adapted table, a high risk of csPCa was observed in PI-RADS 2 combined with high PSAd, and in all PI-RADS 4-5. The risk of csPCa was proportional to the PSAd for PI-RADS 3 patients. Good accuracy (AUC of 0.69 and 0.68 using 3D-US and MRI, respectively), adequate calibration and a higher net benefit when using 3D-US for probability thresholds above 25% on DCA. CONCLUSIONS: Prostate volume estimation with semi-automated segmentation using 3D-US should be preferred to the ellipsoidal formula (MRI) when evaluating PSAd and the risk of csPCa.
Departement of Urology Hôpital Cochin Paris France
Department of Urology Centre Hospitalier Universitaire de Reims Reims France
Department of Urology Città Della Salute E Della Scienza Di Torino University of Turin Turin Italy
Department of Urology Clinique Saint Augustin Bordeaux France
Department of Urology Cliniques de L'Europe Saint Elisabeth Brussels Belgium
Department of Urology Hôpital Cavale Blanche CHRU Brest Brest France
Department of Urology Hôpitaux Universitaires de Genève Geneva Switzerland
Department of Urology IRCCS Regina Elena National Cancer Institute Rome Italy
Department of Urology La Croix du Sud Hospital Quint Fonsegrives France
Department of Urology Private Medical Center Klinika Wisniowa Zielona Góra Poland
Department of Urology University Hospital Ostrava Ostrava Czech Republic
Department of Urology Vivantes Klinikum Am Urban Berlin Deutschland
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