Abstract
Objective: A number of studies have described the overall institutional learning curve for magnetic resonance imaging-guided biopsy but none have evaluated differences and interactions between clinicians. Therefore, we aim to measure and compare the cancer detection rates between individual radiologists and urologists at a single academic institution. Methods: A consecutive sample of patients undergoing magnetic resonance imaging-guided biopsy at a single institution were included for analysis. The detection of any and clinically significant (Gleason score ≥3+4) prostate cancer was compared between radiologists and urologists after adjusting for relevant demographic and clinical characteristics. Analysis was conducted on a perlesion basis and only the results of the targeted cores were considered in the primary analysis. Results: Two hundred eighty-one patients with 418 lesions were included in the study. Prostate cancer of any grade was detected in 43.7% (183/418) of targeted lesions. There was no difference in the distribution of Prostate Imaging Reporting and Data System (PIRADS) scores attributed by each radiologist (p = 0.43). The individual radiologist cancer detection rate for both overall and clinically significant cancer was similar across each PIRADS score except for the detection of any cancer in PIRADS 3 lesions (p = 0.03). There was no difference in the detection rates of any grade or clinically significant cancer between urologists. Conclusion: This single institutional analysis found that the performance of radiologists and urologists was largely comparable. Theonly variation observed was among radiologists for PIRADS 3 lesions.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 299.e1-299.e6 |
| Journal | Urologic Oncology: Seminars and Original Investigations |
| Volume | 37 |
| Issue number | 5 |
| DOIs | |
| State | Published - May 2019 |
Bibliographical note
Funding Information:Funding: NJS has received support from the Cloverfields Foundation and The Institute for Prostate and Urologic Cancers (University of Minnesota).
Publisher Copyright:
© 2019 Elsevier Inc.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Image-guided biopsy
- Magnetic resonance imaging
- Prostate cancer
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