Neural network prediction of prostate tissue composition based on magnetic resonance imaging analysis. A pilot study.

Simon, I; Snow, P B; Marks, L S; Christens-Barry, W A; Epstein, J I; Bluemke, D A; Partin, A W

Simon, I; Snow, P B; Marks, L S; Christens-Barry, W A; Epstein, J I; Bluemke, D A; Partin, A W.

Affiliation

Simon I; Departments of Urology and Radiology and the Applied Physics Laboratory, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Anal Quant Cytol Histol ; 22(6): 445-52, 2000 Dec.

Article in En | MEDLINE | ID: mdl-11147298

Subject(s)

Image Cytometry/methods; Magnetic Resonance Imaging/methods; Neural Networks, Computer; Prostate/pathology; Adult; Aged; Aged, 80 and over; Algorithms; Androgen Antagonists/therapeutic use; Double-Blind Method; Epithelial Cells/pathology; Finasteride/therapeutic use; Humans; Male; Middle Aged; Pilot Projects; Plant Extracts/therapeutic use; Prospective Studies; Prostatic Hyperplasia/drug therapy; Prostatic Hyperplasia/pathology; Retrospective Studies; Serenoa; Stromal Cells/pathology

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Collection: 01-internacional Database: MEDLINE Main subject: Prostate / Magnetic Resonance Imaging / Neural Networks, Computer / Image Cytometry Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Aged / Aged80 / Humans / Male / Middle aged Language: En Journal: Anal Quant Cytol Histol Year: 2000 Document type: Article

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