Bone metastasis classification using whole body images from prostate cancer patients based on convolutional neural networks application.

Bone metastasis is one of the most frequent diseases in prostate cancer; scintigraphy imaging is particularly important for the clinical diagnosis of bone metastasis. Up to date, minimal research has been conducted regarding the application of machine learning with emphasis on modern efficient convolutional neural networks (CNNs) algorithms, for the diagnosis of prostate cancer metastasis […]

Recurrence and Progression Free Survival of Intermediate Risk Non-Muscle Invasive Bladder Cancer: The impact of Conditional Evaluation and Sub-Classification.

To assess the change in rates of recurrence-free survival (RFS) and progression-free survival (PFS) based on duration of survival without recurrence or progression among patients with intermediate-risk (IR) non-muscle invasive bladder cancer (NMIBC), and to examine predictive factors of recurrence at different time points, we examined conditional RFS and PFS.

Profiles of overall survival-related gene expression-based risk signature and their prognostic implications in clear cell renal cell carcinoma.

The present work aimed to evaluate the prognostic value of overall survival (OS)-related genes in clear cell renal cell carcinoma (ccRCC) and to develop a nomogram for clinical use. Transcriptome data from The Cancer Genome Atlas (TCGA) were collected to screen differentially expressed genes (DEGs) between ccRCC patients with OS > 5 years (149 patients) and those […]

Comparison of Urologist Satisfaction for Different Types of Prostate MRI Reports: A Large Sample Investigation.

To evaluate urologist satisfaction on structured prostate MRI reports, including report with tumor-node-metastasis (TNM) staging (report B) and with Prostate Imaging Reporting and Data System (PI-RADS) score with/without TNM staging (report C, report with PI-RADS score only [report C-a] and report with PI-RADS score and TNM staging [C-b]) compared with conventional free-text report (report A).

The effect of neighborhood social environment on prostate cancer development in black and white men at high risk for prostate cancer.

Neighborhood socioeconomic (nSES) factors have been implicated in prostate cancer (PCa) disparities. In line with the Precision Medicine Initiative that suggests clinical and socioenvironmental factors can impact PCa outcomes, we determined whether nSES variables are associated with time to PCa diagnosis and could inform PCa clinical risk assessment.

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