Explanipedia

Readability Optimization of Layperson Summaries in Urological Oncology Clinical Trials: Outcomes from the BRIDGE-AI 8 Study Open

Iris Garrido Cano, A. Pannu, Ethan Layne, Conner Ganjavi, Aditya Desai , et al. · 2025

Accessible health information is essential to promote patient engagement and informed participation in clinical research. Brief summaries on ClinicalTrials.gov are indented for lay people; however they are often written at a reading level …

Readability Optimization of Layperson Summaries in Urological Oncology Clinical Trials: Outcomes from the BRIDGE-AI 8 Study Open

Iris Garrido Cano, A. Pannu, Ethan Layne, Conner Ganjavi, Aditya Desai , et al. · 2025

Accessible health information is essential to promote patient engagement and informed participation in clinical research. Brief summaries on ClinicalTrials.gov are indented for lay people, however are often written at a reading level that …

Image Imputation with conditional generative adversarial networks captures clinically relevant imaging features on computed tomography Open

Joseph M. Rich, Jonathan Le, Ragheb Raad, Tapas Tejura, Ali Rastegarpour , et al. · 2025

Kidney cancer is among the top 10 most common malignancies in adults, and is commonly evaluated with four-phase computed tomography (CT) imaging. However, the presence of missing or corrupted images remains a significant problem in medical…

Impact of magnetic resonance imaging visibility of prostate cancer on partial gland ablation Open

Masatomo Kaneko, Lorenzo Storino Ramacciotti, Yuta Inoue, Samuel J. Peretsman, Jessica Cummins , et al. · 2025

Objectives To evaluate the outcomes of partial gland ablation (PGA) according to prostate cancer (PCa) visibility on magnetic resonance imaging (MRI). Subjects and Methods Consecutive patients with localized PCa diagnosed by MRI‐informed p…

Evaluation of nnU-Net for kidney tumor segmentation on a large external patient cohort Open

A. Raman, David R. Fisher, Joseph M. Rich, Christopher Weight, Nicholas Heller , et al. · 2025

GUSL: A Novel and Efficient Machine Learning Model for Prostate Segmentation on MRI Open

Jiaxin Yang, Catherine A. Alexander, Jintang Xue, Masatomo Kaneko, Andre Luis Abreu , et al. · 2025

Prostate and zonal segmentation is a crucial step for clinical diagnosis of prostate cancer (PCa). Computer-aided diagnosis tools for prostate segmentation are based on the deep learning (DL) paradigm. However, deep neural networks are per…

Radiogenomic correlation of hypoxia-related biomarkers in clear cell renal cell carcinoma Open

Yijun Shao, Harmony Cen, Anu Dhananjay, S J Pawan, Xiaomeng Lei , et al. · 2025

Purpose This study aimed to evaluate radiomic models’ ability to predict hypoxia-related biomarker expression in clear cell renal cell carcinoma (ccRCC). Methods Clinical and molecular data from 190 patients were extracted from The Cancer …

Prediction of PD-L1 and CD68 in Clear Cell Renal Cell Carcinoma with Green Learning Open

Yixing Wu, Alexander Shieh, Steven Cen, Darryl Hwang, Xiaomeng Lei , et al. · 2025

Clear cell renal cell carcinoma (ccRCC) is the most common type of renal cancer. Extensive efforts have been made to utilize radiomics from computed tomography (CT) imaging to predict tumor immune microenvironment (TIME) measurements. This…

Sampling Aware Ancestral State Inference Open

Yexuan Song, Inderbir S. Gill, Ailene MacPherson, Caroline Colijn · 2025

Reconstructing the states of ancestral organisms has long been central to our understanding of the evolution of a wide range of traits. Ancestral state inference tools that account for trait-dependent properties are limited, because of cha…

The outcomes of salvage robotic radical prostatectomy following radiation versus focal therapy: Does the primary treatment modality matter? Open

Alireza Ghoreifi, Lorenzo Storino Ramacciotti, Masatomo Kaneko, Luis G. Medina, Giovanni Cacciamani , et al. · 2025

Objectives We aim to compare salvage robotic radical prostatectomy (sRRP) for recurrent prostate cancer (PCa) after primary radiation (RT) versus focal therapy (FT). Materials and Methods Patients who underwent sRRP following primary local…

A0635 – A nomogram to predict metastasis-free survival after salvage radical prostatectomy based on a large retrospective cohort Open

G. Calleris, F. Barletta, Giancarlo Marra, Paweł Rajwa, Mohamed E. Ahmed , et al. · 2025

PSHop: A Lightweight Feed-Forward Method for 3D Prostate Gland Segmentation Open

Yijing Yang, Vasileios Magoulianitis, Jiaxin Yang, Jintang Xue, Masatomo Kaneko , et al. · 2025

A Bibliometric Analysis of Private vs Public Systems and Policy Implementation Regarding Universal Healthcare Open

Fatima Khan Lookmanji, Deepak Bhat, Neha Darimadugu, Avigail Remias, Inderbir S. Gill , et al. · 2025

A sustainable and expedited ‘One‐Stop’ prostate cancer diagnostic pathway to reduce environmental impact and enhance accessibility Open

Lorenzo Storino Ramacciotti, Masatomo Kaneko, Severin Rodler, Muneeb Mohideen, Jie Cai , et al. · 2024

Objective To assess the carbon footprint, accessibility, and diagnostic performance of an expedited ‘One‐Stop’ prostate cancer (PCa) diagnostic pathway. Materials and methods A total of 1083 consecutive patients undergoing magnetic resonan…

Perioperative and extended outcomes of patients undergoing parastomal hernia repair following cystectomy and ileal conduit Open

Taseen F. Haque, Alireza Ghoreifi, Farshad Sheybaee Moghaddam, Masatomo Kaneko, David Ginsberg , et al. · 2024

Complications and adverse events in lymphadenectomy of the inguinal area: worldwide expert consensus Open

René Sotelo, Aref S. Sayegh, Luis G Medina, Laura Crespo Pérez, Anibal La Riva , et al. · 2024

Background Inguinal lymph node dissection plays an important role in the management of melanoma, penile and vulval cancer. Inguinal lymph node dissection is associated with various intraoperative and postoperative complications with signif…

A nomogram to predict the absence of clinically significant prostate cancer in males with negative MRI Open

Masatomo Kaneko, Atsuko Fujihara, Tsuyoshi Iwata, Lorenzo Storino Ramacciotti, Suzanne L. Palmer , et al. · 2024

Purpose: To create a nomogram to predict the absence of clinically significant prostate cancer (CSPCa) in males with non-suspicion multiparametric magnetic resonance imaging (mpMRI) undergoing prostate biopsy (PBx). Materials and Methods: …

Accuracy, readability, and understandability of large language models for prostate cancer information to the public Open

Jacob Hershenhouse, Daniel Mokhtar, Michael Eppler, Severin Rodler, Lorenzo Storino Ramacciotti , et al. · 2024

Contents Open

Steven D. Wexner, K.E. Behrns, David A. Evans, Nader Ghassemi, Shahab Hajibandeh , et al. · 2024

Study protocol for the Intraoperative Complications Assessment and Reporting with Universal Standards (ICARUS) global cross-specialty surveys and consensus Open

Giovanni Cacciamani, Tamir Sholklapper, Michael Eppler, Aref S. Sayegh, Lorenzo Storino Ramacciotti , et al. · 2024

Annually, about 300 million surgeries lead to significant intraoperative adverse events (iAEs), impacting patients and surgeons. Their full extent is underestimated due to flawed assessment and reporting methods. Inconsistent adoption of n…

Neuronally differentiated macula densa cells regulate tissue remodeling and regeneration in the kidney Open

Georgina Gyarmati, Urvi Nikhil Shroff, Anne Riquier‐Brison, Dorinne Desposito, Wenjun Ju , et al. · 2024

Tissue regeneration is limited in several organs, including the kidney, contributing to the high prevalence of kidney disease globally. However, evolutionary and physiological adaptive responses and the presence of renal progenitor cells s…

PSHop: A Lightweight Feed-Forward Method for 3D Prostate Gland Segmentation Open

Yijing Yang, Vasileios Magoulianitis, Jiaxin Yang, Jintang Xue, Masatomo Kaneko , et al. · 2024

Automatic prostate segmentation is an important step in computer-aided diagnosis of prostate cancer and treatment planning. Existing methods of prostate segmentation are based on deep learning models which have a large size and lack of tra…

PCa-RadHop: A Transparent and Lightweight Feed-forward Method for Clinically Significant Prostate Cancer Segmentation Open

Vasileios Magoulianitis, Jiaxin Yang, Yijing Yang, Jintang Xue, Masatomo Kaneko , et al. · 2024

Prostate Cancer is one of the most frequently occurring cancers in men, with a low survival rate if not early diagnosed. PI-RADS reading has a high false positive rate, thus increasing the diagnostic incurred costs and patient discomfort. …

Publishers’ and journals’ instructions to authors on use of generative artificial intelligence in academic and scientific publishing: bibliometric analysis Open

Conner Ganjavi, Michael Eppler, Asli Pekcan, Brett Biedermann, Andre Luis Abreu , et al. · 2024

Objectives To determine the extent and content of academic publishers’ and scientific journals’ guidance for authors on the use of generative artificial intelligence (GAI). Design Cross sectional, bibliometric study. Setting Websites of ac…

Conditional generative learning for medical image imputation Open

Ragheb Raad, Deep Ray, Bino Varghese, Darryl Hwang, Inderbir S. Gill , et al. · 2024

Image imputation refers to the task of generating a type of medical image given images of another type. This task becomes challenging when the difference between the available images, and the image to be imputed is large. In this manuscrip…

Supplementary Material for: Diversity in Renal Mass Data Cohorts: Implications for Urology AI Researchers Open

Cen H.S., Siddhartha Dandamudi, Lei X., Christopher Weight, Mihir M. Desai , et al. · 2024

Objective We examine the heterogeneity and distribution of the cohort populations in two publicly used radiological image cohorts, Cancer Genome Atlas Kidney Renal Clear Cell Carcinoma (TCIA TCGA KIRC) collection and 2019 MICCAI Kidney Tum…

Single-Port Robot assisted partial cystectomy for urachal adenocarcinoma Open

Sij Hemal, Sina Sobhani, Kevin Hakimi, Shilo Rosenberg, Inderbir S. Gill · 2024

Single-port robot-assisted partial cystectomy for urachal adenocarcinoma is safe and can achieve equivalent oncologic outcomes to the standard of care with minimally invasive and open techniques.

Transperineal versus Transrectal MRI/TRUS fusion-guided prostate biopsy in a large, ethnically diverse, and multiracial cohort Open

Lorenzo Storino Ramacciotti, David Strauss, Francesco Cei, Masatomo Kaneko, Daniel Mokhtar , et al. · 2024

In a large and diverse cohort, Black race, but not the biopsy approach, was an independent predictor for CSPCa detection. TP and TR PBx yielded similar CSPCa detection rates; however the TP PBx was histologically more informative.

PSHop: A Lightweight Feed-Forward Method for 3D Prostate Gland Segmentation Open

Yijing Yang, Vasileios Magoulianitis, Jiaxin Yang, Jintang Xue, Masatomo Kaneko , et al. · 2024

Systematic Review and Meta-Analysis of Salvage Ablation for Radiation-Recurrent Localized Prostate Cancer – A Focal Therapy Society Project Open

Sriram Deivasigamani, Ardeshir R. Rastinehad, Laurence Klotz, Herbert Lepor, Hashim U. Ahmed , et al. · 2024

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