Journal article
Number of cores needed to diagnose prostate cancer during MRI targeted biopsy decreases after the learning curve
Urologic oncology, Vol.40(1), pp.7.e19-7.e24
01/2022
DOI: 10.1016/j.urolonc.2021.05.029
PMID: 34187748
Abstract
•The learning curve for MRI-targeted prostate biopsies is approximately 100 cases•Obtaining only 3 cores in the learning curve misses 17% of prostate cancers•After the learning curve, 3 cores detect 95% of prostate cancers
We hypothesized that the number of cores needed to detect prostate cancer would decrease with increasing MRI-targeted biopsy (TBx) experience.
All patients undergoing TBx at our institution from May 2017 to August 2019 were enrolled in a prospectively maintained database. Five biopsy cores were obtained from each lesion ≥3 on PI-RADS v2.0 followed by a systematic 12-core biopsy. To assess learning curve, the study population was divided into quartiles by sequential biopsies. Clinically significant prostate cancer (csPC) was defined as Gleason Grade Group 2 or higher.
377 patients underwent prostate biopsy (533 lesions); 233 lesions (44%) were positive for prostate cancer and 173 lesions (32%) were csPC. There was a significant decline in the number of cores required for diagnosing any cancer (P < 0.001) and csPC (P < 0.05) after the first quartile. There was no difference when stratifying by PI-RADS score or lesion volume. Within the first quartile, limiting the biopsy to 3 cores would miss 16.2% of csPC, decreasing to 6.6% after approximately 100 patients.
MRI TBx is associated with a learning curve of approximately 100 cases. Four or 5 cores should be considered during the initial experience, but thereafter, 3 cores per lesion is sufficient to detect csPC.
Details
- Title: Subtitle
- Number of cores needed to diagnose prostate cancer during MRI targeted biopsy decreases after the learning curve
- Creators
- Mark D. Bevill - University of IowaVictoria Troesch - Roy J. and Lucille A. Carver College of MedicineJustin N. Drobish - University of IowaKevin J. Flynn - University of IowaMaheen Rajput - University of IowaCatherine M. Metz - University of IowaPaul T. Gellhaus - University of IowaChad R. Tracy - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Urologic oncology, Vol.40(1), pp.7.e19-7.e24
- Publisher
- Elsevier Inc
- DOI
- 10.1016/j.urolonc.2021.05.029
- PMID
- 34187748
- ISSN
- 1078-1439
- eISSN
- 1873-2496
- Language
- English
- Date published
- 01/2022
- Academic Unit
- Radiology; Urology
- Record Identifier
- 9984318713502771
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