Jesse Le
University of California, Los Angeles
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Featured researches published by Jesse Le.
European Urology | 2015
Jesse Le; Nelly Tan; Eugene Shkolyar; David Y. Lu; Lorna Kwan; Leonard S. Marks; Jiaoti Huang; Daniel Margolis; Steven S. Raman; Robert E. Reiter
BACKGROUND Multiparametric magnetic resonance imaging (mp-MRI) is increasingly used in prostate cancer (CaP). Understanding the limitations of tumor detection, particularly in multifocal disease, is important in its clinical application. OBJECTIVE To determine predictors of CaP detection by mp-MRI as confirmed by whole-mount histopathology. DESIGN, SETTING, AND PARTICIPANTS A retrospective study was performed of 122 consecutive men who underwent mp-MRI before radical prostatectomy at a single referral academic center. A genitourinary radiologist and pathologist collectively determined concordance. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS The odds of tumor detection were calculated for clinical, MRI, and histopathologic variables using a multivariate logistic regression model. RESULTS AND LIMITATIONS The 122 patients had 283 unique histologically confirmed CaP tumor foci. Gleason score was 6 in 21 (17%), 7 in 88 (72%), and ≥8 in 13 (11%) patients. Of the 122 cases, 44 (36%) had solitary and 78 (64%) had multifocal tumors. Overall mp-MRI sensitivity for tumor detection was 47% (132/283), with increased sensitivity for larger (102/141 [72%] >1.0 cm), higher-grade (96/134 [72%] Gleason ≥7) tumors, and index tumors (98/122 [80%]). Index tumor status, size, and prostate weight were significant predictors of detection in a multivariate analysis, and multifocality did not adversely impact detection of index tumors. A prostatectomy population was necessary by design, which may limit the ability to generalize these results. CONCLUSIONS Sensitivity for tumor detection increased with tumor size and grade. Index tumor status and tumor size were the strongest predictors of tumor detection, regardless of tumor focality. Some 80% of index tumors were detected, but nonindex tumor detection, even of high-grade lesions, was poor. These findings have important implications for focal therapy. PATIENT SUMMARY We evaluated the ability of magnetic resonance imaging (MRI) to detect cancer in patients undergoing prostatectomy. We found that tumor size and grade were important predictors of tumor detection, and although cancer is often multifocal, MRI is often able to detect the worst focus of cancer.
BJUI | 2010
Jesse Le; Matthew R. Cooperberg; Natalia Sadetsky; Adam B. Hittelman; Maxwell V. Meng; Janet E. Cowan; David M. Latini; Peter R. Carroll
Study Type – Therapy (outcomes research) Level of Evidence 2c
Asian Journal of Andrology | 2014
Jesse Le; Jiaoti Huang; Leonard S. Marks
Prostate cancer is the second most common cancer in men, with 1.1 million new cases worldwide reported by the World Health Organization in one recent year. Transrectal ultrasound (TRUS)-guided biopsy has been used for the diagnosis of prostate cancer for over 2 decades, but the technique is usually blind to cancer location. Moreover, the false negative rate of TRUS biopsy has been reported to be as high as 47%. Multiparametric magnetic resonance imaging (mp-MRI) includes T1- and T2-weighted imaging as well as dynamic contrast-enhanced (DCE) and diffusion-weighted imaging (DWI). mp-MRI is a major advance in the imaging of prostate cancer, enabling targeted biopsy of suspicious lesions. Evolving targeted biopsy techniques—including direct in-bore biopsy, cognitive fusion and software-based MRI-ultrasound (MRI-US) fusion—have led to a several-fold improvement in cancer detection compared to the earlier method. Importantly, the detection of clinically significant cancers has been greatly facilitated by targeting, compared to systematic biopsy alone. Targeted biopsy via MRI-US fusion may dramatically alter the way prostate cancer is diagnosed and managed.
BJUI | 2011
Jesse Le; Brian H. Eisner; Timothy Y. Tseng; Thomas Chi; Marshall L. Stoller
Study Type – Aetiology (case series) Level of Evidence 4
BJUI | 2016
Mitchell Kamrava; John V. Hegde; Narine Abgaryan; Edward F. Chang; Jesse Le; J. Wang; Patrick A. Kupelian; Leonard S. Marks
To study the management impact that magnetic resonance imaging (MRI)‐guided targeted prostate biopsies could provide relative to using only non‐targeted systematic biopsies in men with clinically localized prostate cancer (PCa).
The Journal of Urology | 2014
Jesse Le; Samuel Stephenson; Michelle Brugger; David Y. Lu; Patricia Lieu; Geoffrey A. Sonn; Shyam Natarajan; Frederick J. Dorey; Jiaoti Huang; Daniel Margolis; Robert E. Reiter; Leonard S. Marks
American Journal of Clinical and Experimental Urology | 2014
Alan Priester; Shyam Natarajan; Jesse Le; James Garritano; Bryan Radosavcev; Warren S. Grundfest; Daniel J. Margolis; Leonard S. Marks; Jiaoti Huang
The Journal of Urology | 2014
Jesse Le; Nelly Tan; Susan Kerkoutian; Daniel Margolis; David Lu; Lorna Kwan; Steven S. Raman; Robert E. Reiter
The Journal of Urology | 2014
Jesse Le; Christopher P. Filson; Daniel Margolis; Leonard S. Marks
The Journal of Urology | 2014
Nelly Tan; Jesse Le; Daniel Margolis; David Lu; Kevin King; Reiter Robert; Steven S. Raman