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Derigs, Fabian [Author]; Doryumu, Samuel [Author]; Tollens, Fabian [Author]; Nörenberg, Dominik [Author]; Neuberger, Manuel [Author]; Hardenberg, Jost von [Author]; Michel, Maurice Stephan [Author]; Ritter, Manuel [Author]; Westhoff, Niklas Christian [Author]

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

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  • Media type: E-Article
  • Title: A prospective study on inter-operator variability in semi-robotic software-based MRI/TRUS-fusion targeted prostate biopsies
  • Contributor: Derigs, Fabian [VerfasserIn]; Doryumu, Samuel [VerfasserIn]; Tollens, Fabian [VerfasserIn]; Nörenberg, Dominik [VerfasserIn]; Neuberger, Manuel [VerfasserIn]; Hardenberg, Jost von [VerfasserIn]; Michel, Maurice Stephan [VerfasserIn]; Ritter, Manuel [VerfasserIn]; Westhoff, Niklas Christian [VerfasserIn]
  • imprint: 2022
  • Published in: World journal of urology ; 40(2022), 2, Seite 427-433
  • Language: English
  • DOI: 10.1007/s00345-021-03891-3
  • ISSN: 1433-8726
  • Identifier:
  • Origination:
  • Footnote: Published online: 26 November 2021
  • Description: 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.
  • Access State: Open Access