نتایج جستجو برای: pca diagnosis

تعداد نتایج: 489498  

2017
Thomas J Hoffmann Michael N Passarelli Rebecca E Graff Nima C Emami Lori C Sakoda Eric Jorgenson Laurel A Habel Jun Shan Dilrini K Ranatunga Charles P Quesenberry Chun R Chao Nirupa R Ghai David Aaronson Joseph Presti Tobias Nordström Zhaoming Wang Sonja I Berndt Stephen J Chanock Jonathan D Mosley Robert J Klein Mridu Middha Hans Lilja Olle Melander Mark N Kvale Pui-Yan Kwok Catherine Schaefer Neil Risch Stephen K Van Den Eeden John S Witte

Prostate-specific antigen (PSA) levels have been used for detection and surveillance of prostate cancer (PCa). However, factors other than PCa-such as genetics-can impact PSA. Here we present findings from a genome-wide association study (GWAS) of PSA in 28,503 Kaiser Permanente whites and 17,428 men from replication cohorts. We detect 40 genome-wide significant (P<5 × 10-8) single-nucleotide p...

Journal: :The journal of sexual medicine 2012
Mark R Feneley Malcolm Carruthers

INTRODUCTION For men with androgen deficiency on testosterone replacement therapy (TRT), clinical concern relates to the development of prostate cancer (PCa). AIM An updated audit of prostate safety from the UK Androgen Study was carried out to analyze the incidence of PCa during long-term TRT. MAIN OUTCOME MEASURES Diagnosis of PCa in men receiving TRT, by serum prostate-specific antigen (...

Journal: :European urology 2017
Jim C Hu David M Nanus Art Sedrakyan

Since the introduction of prostate-specific antigen (PSA) screening in the early 1990s, there has been a 50% decline in prostate cancer (PCa)–specific mortality (PCSM) and a >70% decline in the incidence of metastases at diagnosis [1]. However, there have been recent declines in PSA screening leading to lower PCa incidence in the US [2]. Understanding the impact of diminished PSA screening on P...

Journal: :Artificial Intelligence Review 2022

Abstract Principal Component Analysis (PCA) is one of the most widely used data analysis methods in machine learning and AI. This manuscript focuses on mathematical foundation classical PCA its application to a small-sample-size scenario large dataset high-dimensional space scenario. In particular, we discuss simple method that can be approximate latter case. also help kernel or (KPCA) for larg...

2018
Wei Xu Brittany A. Foster Mackenzie Richards Kenneth R. Bondioli Girish Shah Christopher C. Green

Early diagnosis of prostate cancer (PCa) is critical for the application of efficient treatment to PCa patients. However, the majority of PCas remains indolent from several months to several years before malignancy. Current diagnosis methods have limitations in their reliability and are inefficient in time cost. Thus, an efficient in vivo PCa cell xenograft model is highly desired for diagnosti...

2016
Dibash K. Das Joseph R. Osborne Hui-Yi Lin Jong Y. Park Olorunseun O. Ogunwobi

MicroRNAs (miRNAs) have been found to be dysregulated in prostate cancer (PCa). In this study, we investigated if miR-1207-3p is capable of distinguishing between indolent and aggressive PCa and if it contributes to explaining the disproportionate aggressiveness of PCa in men of African ancestry (moAA). A total of 404 patients with primary adenocarcinoma of the prostate were recruited between 1...

2017
Anika Thon Ulf Teichgräber Cornelia Tennstedt-Schenk Stathis Hadjidemetriou Sven Winzler Ansgar Malich Ismini Papageorgiou

BACKGROUND Prostate cancer (PCa) diagnosis by means of multiparametric magnetic resonance imaging (mpMRI) is a current challenge for the development of computer-aided detection (CAD) tools. An innovative CAD-software (Watson Elementary™) was proposed to achieve high sensitivity and specificity, as well as to allege a correlate to Gleason grade. AIM/OBJECTIVE To assess the performance of Watso...

Journal: :Computers & Chemical Engineering 2012
Pieter Van den Kerkhof Geert Gins Jef Vanlaer Jan F. M. Van Impe

To ensure a constant and satisfactory product quality, close monitoring of batch processes is an absolute requirement in the chemical and biochemical industry. Principal Component Analysis (PCA)-based techniques exploit historical databases for fault detection and diagnosis of the current batch run. To handle the dynamic nature of batch processes, dedicated techniques such as Batch Dynamic PCA ...

Journal: :Uro 2022

Prostate cancer (PCa), which is among the most prevalent types of in men, a prominent topic imaging research. The primary aim PCa to acquire more accurate characterizations disease. More precise local stage progression, early discovery metastatic cancers, reliable diagnosis oligometastatic cancer, and optimum treatment response evaluation are areas contemporary quickly improving developing. Ima...

Journal: :Current oncology 2015
C Sandoval K Tran R Rahal G Porter S Fung C Louzado J Liu H Bryant

In general, guideline-recommended treatment options for men with low-risk prostate cancer (pca) include active surveillance, radical prostatectomy, and external-beam radiation therapy or brachytherapy. Because of the concern about overdiagnosis and consequent overtreatment of pca, patients with low-risk disease are increasingly being managed with active surveillance. Using data from six provinc...

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