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Verfasst von:Derigs, Fabian [VerfasserIn]   i
 Doryumu, Samuel [VerfasserIn]   i
 Tollens, Fabian [VerfasserIn]   i
 Nörenberg, Dominik [VerfasserIn]   i
 Neuberger, Manuel [VerfasserIn]   i
 Hardenberg, Jost von [VerfasserIn]   i
 Michel, Maurice Stephan [VerfasserIn]   i
 Ritter, Manuel [VerfasserIn]   i
 Westhoff, Niklas Christian [VerfasserIn]   i
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
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.
DOI:doi:10.1007/s00345-021-03891-3
URL:kostenfrei: Volltext: https://doi.org/10.1007/s00345-021-03891-3
 kostenfrei: Volltext: https://link.springer.com/10.1007/s00345-021-03891-3
 DOI: https://doi.org/10.1007/s00345-021-03891-3
Datenträger:Online-Ressource
Sprache:eng
K10plus-PPN:184765889X
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