Preoperative neural network using combined magnetic resonance imaging variables, prostate-specific antigen, and gleason score for predicting prostate cancer biochemical recurrence after radical prostatectomy

Urology

Volumn 64, Issue 6, 2004, Pages 1165-1170

  Poulakis, Vassilis ^a   Witzsch, Ulrich ^a   De Vries, Rachelle ^a   Emmerlich, Volker ^a   Meves, Michael ^a   Altmannsberger, Hans Michael ^a   Becht, Eduard ^a  

^a KRANKENHAUS NORDWEST   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

PROSTATE SPECIFIC ANTIGEN;

ADULT; AGED; AREA UNDER THE CURVE; ARTICLE; ARTIFICIAL NEURAL NETWORK; CANCER GRADING; CANCER RECURRENCE; CANCER STAGING; CANCER SURGERY; CHEMICAL ANALYSIS; CONTROLLED STUDY; DISEASE COURSE; FOLLOW UP; HUMAN; HUMAN TISSUE; LYMPH NODE METASTASIS; MAJOR CLINICAL STUDY; MALE; NOMOGRAM; NUCLEAR MAGNETIC RESONANCE IMAGING; POSTOPERATIVE COMPLICATION; POSTOPERATIVE PERIOD; PREDICTION; PRIORITY JOURNAL; PROSTATE CANCER; PROSTATECTOMY; PROTEIN BLOOD LEVEL; RANDOMIZATION; SCORING SYSTEM; TUMOR BIOPSY;

ADULT; AGED; DISEASE PROGRESSION; HUMANS; LOGISTIC MODELS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; NEOPLASM METASTASIS; NEURAL NETWORKS (COMPUTER); PREDICTIVE VALUE OF TESTS; PROSTATE-SPECIFIC ANTIGEN; PROSTATECTOMY; PROSTATIC NEOPLASMS; REPRODUCIBILITY OF RESULTS;

EID: 10644263397     PISSN: 00904295     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.urology.2004.06.030     Document Type: Article

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