A prospective study on inter-operator variability in semi-robotic software-based MRI/TRUS-fusion targeted prostate biopsies
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 targeti...
Gespeichert in:
| Hauptverfasser: | , , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
2022
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| In: |
World journal of urology
Year: 2022, Jahrgang: 40, Heft: 2, Pages: 427-433 |
| ISSN: | 1433-8726 |
| DOI: | 10.1007/s00345-021-03891-3 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.1007/s00345-021-03891-3 Verlag, kostenfrei, Volltext: https://link.springer.com/10.1007/s00345-021-03891-3 
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| Verfasserangaben: | Fabian Derigs, Samuel Doryumu, Fabian Tollens, Dominik Nörenberg, Manuel Neuberger, Jost Von Hardenberg, Maurice Stephan Michel, Manuel Ritter, Niklas Westhoff |
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| 245 | 1 | 2 | |a A prospective study on inter-operator variability in semi-robotic software-based MRI/TRUS-fusion targeted prostate biopsies |c Fabian Derigs, Samuel Doryumu, Fabian Tollens, Dominik Nörenberg, Manuel Neuberger, Jost Von Hardenberg, Maurice Stephan Michel, Manuel Ritter, Niklas Westhoff |
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| 520 | |a 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. | ||
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