Open AccessLearning curve for magnetic resonance imaging/ultrasound fusion prostate biopsy in detecting prostate cancer using cumulative sum analysis
Author(s) -
Linhan Xu,
Nancy Yating Ye,
Adrianna Lee,
Jasleen Chopra,
Michael J. Naslund,
Jade J. Wong-You-Cheong,
Amelia M. Wnorowski,
Mohummad Minhaj Siddiqui
Publication year - 2022
Publication title -
current urology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.476
H-Index - 13
eISSN - 1661-7657
pISSN - 1661-7649
DOI - 10.1097/cu9.0000000000000116
Subject(s) - medicine , cusum , prostate cancer , biopsy , magnetic resonance imaging , prostate , prostate biopsy , learning curve , cancer , radiology , nuclear medicine , statistics , computer science , mathematics , operating system
Targeted magnetic resonance (MR) with ultrasound (US) fusion-guided biopsy has been shown to improve detection of prostate cancer. The implementation of this approach requires integration of skills from radiologists and urologists. Objective methods for assessment of learning curves, such as cumulative sum (CUSUM) analysis, may be helpful in identifying the presence and duration of a learning curve. The aim of this study is to determine the learning curve for MR/US fusion-guided biopsy in detecting clinically significant prostate cancer using CUSUM analysis.