A prospective study on inter-operator variability in semi-robotic software-based MRI/TRUS-fusion targeted prostate biopsies

• Verfasst von: Derigs, Fabian [VerfasserIn]
• Verfasst von: Doryumu, Samuel [VerfasserIn]
• Verfasst von: Tollens, Fabian [VerfasserIn]
• Verfasst von: Nörenberg, Dominik [VerfasserIn]
• Verfasst von: Neuberger, Manuel [VerfasserIn]
• Verfasst von: Hardenberg, Jost von [VerfasserIn]
• Verfasst von: Michel, Maurice Stephan [VerfasserIn]
• Verfasst von: Ritter, Manuel [VerfasserIn]
• Verfasst von: Westhoff, Niklas Christian [VerfasserIn]
• Titel: A prospective study on inter-operator variability in semi-robotic software-based MRI/TRUS-fusion targeted prostate biopsies
• Verf.angabe: Fabian Derigs, Samuel Doryumu, Fabian Tollens, Dominik Nörenberg, Manuel Neuberger, Jost Von Hardenberg, Maurice Stephan Michel, Manuel Ritter, Niklas Westhoff
• Jahr: 2022
• Umfang: 7 S.
• Fussnoten: Published online: 26 November 2021 ; Gesehen am 07.06.2023
• Titel Quelle: Enthalten in: World journal of urology
• Ort Quelle: Berlin : Springer, 1983
• Jahr Quelle: 2022
• Band/Heft Quelle: 40(2022), 2, Seite 427-433
• ISSN Quelle: 1433-8726
• DOI: doi:10.1007/s00345-021-03891-3
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 184765889X
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext

Abstract

Purpose  Magnetic resonance imaging (MRI)/ultrasound-fusion prostate biopsy (FB) comprises multiple steps each of which can cause alterations in targeted biopsy (TB) accuracy leading to false-negative results. The aim was to assess the interoperator variability of software-based fusion TB by targeting the same MRI-lesions by different urologists. - Methods  In this prospective study, 142 patients eligible for analysis underwent software-based FB. TB of all lesions (n = 172) were carried out by two different urologists per patient (n = 31 urologists). We analyzed the number of mismatches [overall prostate cancer (PCa), clinically significant PCa (csPCa) and non-significant PCa (nsPCa)] between both performed TB per patient. In addition we evaluated factors contributing to inter-operator variability by uni- and multivariable analyses. - Results  In 11.6% of all MRI-lesions (10.6% of all patients) there was a mismatch between TB1 and TB2 in terms of overall prostate cancer (PCa detection. Regarding csPCa, patient-based mismatch occurred in 14.8% (n = 21). Overall PCa and csPCa detection rate of TB1 and TB2 did not differ significantly on a per-patient and per-lesion level. Analyses revealed a smaller lesion size as predictive for mismatches (OR 9.19, 95% CI 2.02-41.83, p < 0.001). - Conclusion  Reproducibility and precision of targeting particularly small lesions is still limited although using software-based FB. Further improvements in image-fusion, segmentation, needle-guidance, and automatization are necessary.