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Peter A Pinto

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Articles 361
Citations 8522
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Recent Articles
1.
Esengur O, Stevenson E, Stecko H, Lay N, Yang D, Tetreault J, et al.
Prostate . 2025 Feb; :e24863. PMID: 39996409
Background: Whole-gland (WG) prostate-specific antigen (PSA) density (PSAD) has proven useful in diagnosing to be beneficial in localized prostate cancer (PCa). This study aimed to evaluate the predictive performance of...
2.
Esengur O, Yilmaz E, Simon B, Harmon S, Gelikman D, Lin Y, et al.
Acad Radiol . 2025 Jan; PMID: 39809601
Rationale And Objectives: Accurate preoperative mpMRI-based detection of extraprostatic extension (EPE) in prostate cancer (PCa) is critical for surgical planning and patient outcomes. This study aims to evaluate the impact...
3.
Zhang H, Patkar S, Lis R, Merino M, Pinto P, Choyke P, et al.
Cancers (Basel) . 2024 Dec; 16(23). PMID: 39682085
Detailed evaluation of prostate cancer glands is an essential yet labor-intensive step in grading prostate cancer. Gland segmentation can serve as a valuable preliminary step for machine-learning-based downstream tasks, such...
4.
Yilmaz E, Harmon S, Lis R, Esengur O, Gelikman D, Garmendia-Cedillos M, et al.
Abdom Radiol (NY) . 2024 Dec; PMID: 39658736
No abstract available.
5.
Borde T, Varble N, Hazen L, Saccenti L, Garcia C, Digennaro M, et al.
J Urol . 2024 Dec; 213(4):428-436. PMID: 39657598
Purpose: Our goal was to determine whether the difference between MRI-based and ultrasound (US)-based volume measurements are associated with MRI/US-targeted fusion-guided biopsy outcomes. Materials And Methods: This retrospective, single-center study...
6.
Gelikman D, Azar W, Yilmaz E, Lin Y, Shumaker L, Fang A, et al.
BJU Int . 2024 Dec; PMID: 39654290
Objectives: To develop and validate a Prostate Imaging-Reporting and Data System (PI-RADS) version 2.1 (v2.1)-based predictive model for diagnosis of clinically significant prostate cancer (csPCa), integrating clinical and multiparametric magnetic...
7.
Esengur O, Yilmaz E, Ozyoruk K, Chen A, Lay N, Gelikman D, et al.
Clin Imaging . 2024 Nov; 117:110363. PMID: 39579754
Purpose: To develop and evaluate a multimodal approach including clinical parameters and biparametric MRI-based artificial intelligence (AI) model for determining the necessity of prostate biopsy in patients with PI-RADS 3...
8.
Ozyoruk K, Harmon S, Lay N, Yilmaz E, Bagci U, Citrin D, et al.
J Pers Med . 2024 Oct; 14(10). PMID: 39452554
Background/objectives: Apparent Diffusion Coefficient (ADC) maps in prostate MRI can reveal tumor characteristics, but their accuracy can be compromised by artifacts related with patient motion or rectal gas associated distortions....
9.
Rathi N, Blake Z, Hyman J, Nemirovsky D, Gelikman D, Hesswani C, et al.
Urology . 2024 Oct; 196:313-320. PMID: 39427924
Objective: To evaluate MRI-based measurements of androgen-sensitive perineal/pelvic muscles in men with prostate cancer before and after androgen deprivation therapy (ADT) as a novel imaging marker for end-organ effects of...
10.
Esengur O, Gelikman D, Law Y, Yilmaz E, Harmon S, Merino M, et al.
Acad Radiol . 2024 Oct; 32(2):855-863. PMID: 39426916
Rationale And Objectives: The increasing use of focal therapy (FT) in localized prostate cancer (PCa) management requires a standardized MRI interpretation system to detect recurrent clinically significant PCa (csPCa). This...