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

World J Urol. 2022 Feb;40(2):427-433. doi: 10.1007/s00345-021-03891-3. Epub 2021 Nov 26.

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 inter-operator 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.

Keywords: Accuracy; Multiparametric magnetic resonance imaging; Prostatic neoplasm; Reproducibility; Software-based fusion biopsy; Surgeon.

MeSH terms

  • Humans
  • Image-Guided Biopsy / methods
  • Magnetic Resonance Imaging / methods
  • Male
  • Prospective Studies
  • Prostate / diagnostic imaging
  • Prostate / pathology
  • Prostatic Neoplasms* / pathology
  • Reproducibility of Results
  • Robotic Surgical Procedures*
  • Software