Publications by authors named "S Punnen"

Objectives: The objectives of this study are to compare the accuracy of warm ischemia times (WITs) derived by a surgical artificial intelligence (AI) software to those documented in surgeon operative reports during partial nephrectomy procedures and to assess the potential of this technology in evaluating postoperative renal function.

Patients And Methods: A surgical AI software (Theator Inc., Palo Alto, CA) was used to capture and analyse videos of partial nephrectomies performed between October 2023 and April 2024.

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Objective: To assess the association of being overweight or obese with Nonmuscle invasive bladder cancer (NMIBC) recurrence, stage progression, and grade progression.

Methods: Patients with NMIBC were included and categorized into 3 groups based on their body mass index (BMI): normal weight, overweight, and obese. Recurrence was defined as any histologically proven bladder cancer on subsequent transurethral resection of bladder tumor (TURBT).

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Rationale And Objectives: Active surveillance (AS) is the preferred management strategy for low-risk prostate cancer. This study aimed to evaluate the impact of Habitat Risk Score (HRS), an automated approach for mpMRI analysis, for early detection of progressors in a prospective AS clinical trial (MAST NCT02242773).

Materials And Methods: The MAST protocol includes Confirmatory mpMRI ultrasound fusion (MRI-US) biopsy and yearly surveillance MRI-US biopsies for up to 3 years.

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Background And Objective: Prostate cancer (PC) heterogeneity can result in sampling discrepancies during biopsy, leading to inaccurate molecular classifications that affect treatment decisions. We evaluated transcriptomic profile variability between multiparametric magnetic resonance imaging (mpMRI)-targeted biopsy (TBx) and systematic biopsy (SBx) methods using the Decipher GRID platform.

Methods: The study included 205 men from the MAST trial.

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Purpose: To examine prostate cancer (PCa) screening disparities among ethnic groups in the U.S. using the All of Us database.

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