1. Impact of Endorectal Coil on Prostate Cancer
Detection using Multi-parametric 3T Prostate MRI
Nelly Tan, Daniel Margolis, David Y. Lu, Pooria Khoshnoodi, Wei-Chen Lin,
Leonard Marks, Robert E Reiter, SS Raman
UCLA Prostate Imaging Research Group
David Geffen School of Medicine at UCLA
2. Introduction
• Controversial if endorectal coil (ERC) improved
performance for staging and may curb the
problem of over staging
• Pelvic phased array coil (PAC) yields better
overall image quality than ERC and superior
visibility of anterior gland & NVB
• Superiority of ERC vs PAC not established
3. Objective
• To determine the performance of 3.0 Tesla
multiparametric prostate MRI for prostate
cancer (PCa) detection with and without
endorectal coil.
4. Methods
• A retrospective HIPAA-compliant, IRB
approved study
• Multiparametric 3T MR followed by Robotic
assisted radical prostatectomy (RALP)
• Clinical, MR & pathological information was
obtained.
5. Methods
• Upgrading defined by an increased GS on
Biopsy compared to whole mount pathology
• Stratified by systematic versus US/MR
guided biopsy
• Statistical Analysis
– Mann-Whitney test for continuous variables
– Chi Square were used for categorical variables.
12. Conclusions
• Significant upgrading in systematic bx 33%
vs Targeted bx 25%
• MR Prostate volume larger in Targeted
• Only significant predictor of upgrading was
use of Targeted Bx
13. Limitations
• Retrospective study
• Single institution
• Despite these limitations, this is the largest
study to evaluate upgrading of Gleason
score in fusion biopsy compared to
systematic
14. Acknowledgments
• Radiology
• Steven Raman, MD
• Daniel Margolis, MD
• David SK Lu, MD
• Pooria Khoshnoodi, MD
• Martin Lin, MD
• Brenda Brown, MA
• Sandra J Smith, MBA
• Afsoon Moazzez, MBA
• Dave Nelson (Media)
• Steven Do (Media)
• Dieter Enzmann, MD
• Former Trainees and Volunteers
• Kevin King, MD
• Htwe Khin, JD
• Kevin Beroukium, MD
• David Finley, MD
• Medical Imaging Informatics
• Weixia Yu, PhD
• William Hsu, PhD
• Wenchao Tao, PhD
• Center for Computer Vision and Imaging
• Mahesh Nagarajan, PhD
• Bharath Ramakrishna, PhD
• Matt Brown, PhD
• Heidi Coy, BS
• Urology
• Robert Reiter, MD
• Pathology
• Jiaoti Huang, MD
• David Y. Lu, MD
• Susan Kerkoutian, MD