Prostate Cancer Detection by Novice Micro-Ultrasound Users Enrolled in a Training Program

Autor: Hannes Cash, Sebastian Hofbauer, Neal Shore, Christian P. Pavlovich, Stephan Bulang, Martin Schostak, Erik Planken, Joris J. Jaspars, Ferdinand Luger, Laurence Klotz, Georg Salomon
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Société Internationale d’Urologie Journal, Vol 3, Iss 2, Pp 62-68 (2022)
Druh dokumentu: article
ISSN: 2563-6499
DOI: 10.48083/KKVJ7280
Popis: ObjectiveMicro-ultrasound is an imaging modality used to visualize and target prostate cancer during transrectal or transperineal biopsy. We evaluated the effectiveness of a micro-ultrasound training program and estimated the learning curve for prostate biopsy. MethodsA training program registry was assessed for the rate of clinically significant prostate cancer (csPCa, grade group ≥ 2), negative predictive value, and specificity at each stage of the program. Nine metrics of biopsy quality were evaluated in 4 stages for each practitioner. Non-linear fitting and logistic regression models were used to evaluate the time-course of these metrics over training. ResultsThirteen practitioners from 8 institutions completed stages 1 to 3 of the program, and 9 completed all 4 stages. Over 1190 micro-ultrasound biopsy procedures were performed. Detection of csPCa increased from 40% to 57% from stage 1 to stage 4 (P < 0.01). Stage 4 “expert” level was independently associated with higher detection of csPCa when correcting for overall risk factors (OR 1.95; P = 0.03). Limitations include the retrospective analysis and variation in biopsy protocols. ConclusionThe micro-ultrasound training program was effective in improving biopsy quality and rate of csPCa detection. The presented learning curve provides an initial guide for acquiring expertise with real-time micro-ultrasound image-guided biopsy.
Databáze: Directory of Open Access Journals