Application of a neural network to improve nodal staging accuracy with 18F-FDG PET in non-small cell lung cancer

Journal of Nuclear Medicine

Volumn 44, Issue 12, 2003, Pages 1918-1926

  Vesselle, Hubert ^a,b   Turcotte, Eric ^a   Wiens, Linda ^a   Haynor, David ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

^b UNIVERSITY OF WASHINGTON MEDICAL CENTER   (United States)

Author keywords

18F FDG PET; Lung cancer; Neural networks

Indexed keywords

FLUORODEOXYGLUCOSE F 18; DIAGNOSTIC AGENT; RADIOPHARMACEUTICAL AGENT;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CANCER STAGING; CANCER SURGERY; COHORT ANALYSIS; COMPUTER ASSISTED TOMOGRAPHY; COMPUTER PROGRAM; CONTROLLED STUDY; CORRELATION ANALYSIS; DATA ANALYSIS; DIAGNOSTIC ACCURACY; HUMAN; LUNG NON SMALL CELL CANCER; MAJOR CLINICAL STUDY; MATHEMATICAL COMPUTING; PARAMETER; PATIENT SELECTION; POSITRON EMISSION TOMOGRAPHY; PREOPERATIVE CARE; PRIORITY JOURNAL; STATISTICAL SIGNIFICANCE; TECHNIQUE; TUMOR VOLUME; UNIVERSITY HOSPITAL; AGED; ARTIFICIAL INTELLIGENCE; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; FEMALE; LUNG TUMOR; MALE; METHODOLOGY; MIDDLE AGED; PATHOLOGY; REPRODUCIBILITY; SCINTISCANNING; SENSITIVITY AND SPECIFICITY;

AGED; ARTIFICIAL INTELLIGENCE; CARCINOMA, NON-SMALL-CELL LUNG; COHORT STUDIES; FEMALE; FLUORODEOXYGLUCOSE F18; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LUNG NEOPLASMS; MALE; MIDDLE AGED; NEOPLASM STAGING; NEURAL NETWORKS (COMPUTER); RADIOPHARMACEUTICALS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 1542682068     PISSN: 01615505     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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