background: to determine a cut-off point of tpsa and psad to prevent unnecessary invasive cancer-diagnosing tests in the community. methods: this study was performed on 688 consecutive patients referred to our center due to prostatism, suspicious lesions on digital rectal examination and/or elevated serum psa levels. all patients underwent transrectal ultrasound guided biopsies and obtained psa...

This paper describes the application of Principal Component Analysis (PCA) for fault detection and diagnosis (FDD) in a real plant. PCA is a linear dimensionality reduction technique. In order to diagnosis the faults, the PCA approach includes one PCA model for each system behavior, i.e., a PCA model for normal operation conditions and a PCA model for each faulty situation. Data set is generate...

OBJECTIVES Both prostate cancer (PCa) and type 2 diabetes mellitus (T2DM) are increasingly prevalent conditions, which frequently coexist in men. Here, we set out to specifically examine the impact of a PCa diagnosis and its treatment on T2DM treatment. SETTING This study uses observational data from Prostate Cancer database Sweden Traject. PARTICIPANTS The study was undertaken in a cohort ...

conclusions using tzpsad as an adjunct to psa may improve the specificity of psa in the diagnosis of pca and decrease the number of unnecessary prostatic biopsies in iranian men with serum psa level < 20 ng/ml. results among 1120 men who were eligible for enrolment, prostate cancer was detected in 265 patients. mean serum psa levels were 9.7 ± 4.3 ng/ml and 8.5 ± 3.7 ng/ml in patients with and ...

PURPOSE OF REVIEW To present the recent advances in needle guidance and robotic ultrasound technology which are used for prostate cancer (PCa) diagnosis and management. RECENT FINDINGS Prostate biopsy technology has remained relatively unchanged. Improved needle localization and precision would allow for better management of this common disease. Robotic ultrasound and needle guidance is one s...

This study explored various feature extraction methods for use in automated diagnosis of Attention-Deficit Hyperactivity Disorder (ADHD) from functional Magnetic Resonance Image (fMRI) data. Each participant's data consisted of a resting state fMRI scan as well as phenotypic data (age, gender, handedness, IQ, and site of scanning) from the ADHD-200 dataset. We used machine learning techniques t...

BACKGROUND We investigated associations between statin use begun before prostate cancer (PCa) diagnosis and PCa recurrence/progression and PCa-specific mortality (PCSM) in a prospective, population-based cohort study. METHODS The analysis included 1,001 PCa patients diagnosed in 2002-2005 in King County, Washington. Statin use was assessed at the time of diagnosis using a detailed in-person i...