Preoperative neural network using combined magnetic resonance imaging variables, prostate specific antigen and Gleason score to predict prostate cancer stage

The Journal of Urology
Vassilis PoulakisEduard Becht

Abstract

We developed an artificial neural network analysis (ANNA) to predict prostate cancer pathological stage more effectively than logistic regression (LR) based on the combined use of prostate specific antigen (PSA), biopsy Gleason score and pelvic coil magnetic resonance imaging (pMRI) in patients with clinically organ confined disease before radical prostatectomy. In 201 consecutive patients undergoing radical retropubic prostatectomy with pelvic lymphadenectomy the radiological-pathological correlation was evaluated using pMRI. Predictive variables were clinical TNM classification, preoperative serum PSA, biopsy Gleason score and pMRI findings. The predicted results were organ confined vs nonorgan confined disease and lymphatic vs no lymphatic involvement. The predicted ability of ANNA with several parameters in a set of 160 randomly selected test data was compared with that of LR and the Partin tables by area under the receiver operating characteristic curve analysis. The overall accuracy of ANNA and LR was 88% and 91%, and 77% and 84% for nonorgan confined and lymphatic involvement, respectively. For nonorgan confined disease and lymph node involvement the area under the curve of ANNA (0.895 and 0.899) was significantly larger...Continue Reading

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Citations

Jan 1, 2007·Indian Journal of Urology : IJU : Journal of the Urological Society of India·Neeraj Kumar GoyalT N Singh
Sep 2, 2014·Journal of the Chinese Medical Association : JCMA·Chih-Wei TsaoChien-Yeh Hsu
Aug 13, 2010·Radiología·J C VilanovaM Boada
Mar 20, 2009·European Urology·Alberto BrigantiUrs E Studer
Aug 21, 2007·The Journal of Urology·Matthew J KnudsonChristopher S Cooper
Aug 9, 2005·Magnetic Resonance Imaging Clinics of North America·Ergin Atalar, Cynthia Ménard
Aug 24, 2011·Korean journal of urology·Jae Young JoungKang Hyun Lee
Feb 13, 2013·Nature Reviews. Urology·Xinhai HuCarsten Stephan
Jul 24, 2021·BMC Medical Informatics and Decision Making·Hesham SalemAmir Awwad

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