Anatomic segmentation improves prostate cancer detection with artificial neural networks analysis of 1H magnetic resonance spectroscopic imaging

Journal of Magnetic Resonance Imaging

Volumn 40, Issue 6, 2014, Pages 1414-1421

  Matulewicz, Lukasz ^a,b   Jansen, Jacobus F A ^c   Bokacheva, Louisa ^a   Vargas, Hebert Alberto ^a   Akin, Oguz ^a   Fine, Samson W ^a   Shukla Dave, Amita ^a   Eastham, James A ^a   Hricak, Hedvig ^a   Koutcher, Jason A ^a   Zakian, Kristen L ^a  

^a MEMORIAL SLOAN KETTERING CANCER CENTER   (United States)

^b INSTITUTE OF ONCOLOGY   (Poland)

^c MAASTRICHT UNIVERSITY MEDICAL CENTER   (Netherlands)

Author keywords

Computer aided diagnosis; Magnetic resonance spectroscopic imaging; Neural networks; Pattern recognition; Prostate cancer

Indexed keywords

ADULT; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOANALYSIS; CANCER DIAGNOSIS; CANCER PATIENT; CANCER SURGERY; CLINICAL ARTICLE; FEASIBILITY STUDY; HISTOPATHOLOGY; HUMAN; HUMAN TISSUE; MALE; NUCLEAR MAGNETIC RESONANCE SCANNER; PROSTATE CANCER; PROSTATECTOMY; PROTON NUCLEAR MAGNETIC RESONANCE; RETROSPECTIVE STUDY; ALGORITHM; AUTOMATED PATTERN RECOGNITION; CHEMISTRY; EVALUATION STUDY; IMAGE ENHANCEMENT; MIDDLE AGED; NUCLEAR MAGNETIC RESONANCE IMAGING; PROCEDURES; PROSTATIC NEOPLASMS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

TUMOR MARKER;

ADULT; AGED; ALGORITHMS; BIOMARKERS, TUMOR; HUMANS; IMAGE ENHANCEMENT; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; PROSTATIC NEOPLASMS; PROTON MAGNETIC RESONANCE SPECTROSCOPY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84909999260     PISSN: 10531807     EISSN: 15222586     Source Type: Journal    
DOI: 10.1002/jmri.24487     Document Type: Article

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