Identifying malignant transformations in recurrent low grade gliomas using high resolution magic angle spinning spectroscopy

Artificial Intelligence in Medicine

Volumn 55, Issue 1, 2012, Pages 61-70

  Constantin, Alexandra ^a,b   Elkhaled, Adam ^b   Jalbert, Llewellyn ^b   Srinivasan, Radhika ^b   Cha, Soonmee ^b   Chang, Susan M ^b   Bajcsy, Ruzena ^a   Nelson, Sarah J ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Glioma; High resolution magic angle spinning spectroscopy; Malignant transformation; Pattern recognition; Spectroscopy; Tumor grade

Indexed keywords

BRAIN TISSUE; CLASSIFICATION ALGORITHM; CLINICAL OUTCOME; CONDITIONAL PROBABILITIES; CONFIDENCE INTERVAL; CROSS VALIDATION; DECISION STUMPS; DIAGNOSTIC ACCURACY; EX-VIVO; FEATURE RANKING; FEATURE SELECTION METHODS; FEATURE SUBSET SELECTION; FILTER-BASED; GAIN RATIO; GENETIC SEARCH; GLIOMA; GLUTATHIONES; GLYCEROPHOSPHOCHOLINE; HIGH RESOLUTION MAGIC ANGLE SPINNING; HISTOLOGICAL FEATURES; IMAGE-GUIDED; LEAVE-ONE-OUT; LINEAR DISCRIMINANT ANALYSIS; LOGISTIC REGRESSIONS; LOW-GRADE GLIOMAS; MALIGNANT TRANSFORMATION; METABOLIC CHARACTERISTICS; METABOLIC DATA; METABOLIC PARAMETERS; METHODS:STATISTICAL; MULTIVARIATE PATTERNS; MYO-INOSITOL; NMR SPECTRUM; PATTERN RECOGNITION METHOD; PATTERN RECOGNITION TECHNIQUES; PHOSPHOCHOLINE; RECURRENT GLIOMAS; STATISTICAL MODELS; SURGICAL NAVIGATION; SURGICAL RESECTION; TISSUE SAMPLES; TRAINING ACCURACY; TUMOR GRADE; TUMOR GRADES;

ALGORITHMS; AMINO ACIDS; FEATURE EXTRACTION; FORESTRY; LOGISTICS; MAGIC ANGLE SPINNING; METABOLISM; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; PATTERN RECOGNITION; REGRESSION ANALYSIS; SPECTROSCOPY; SPECTRUM ANALYSIS; SUPPORT VECTOR MACHINES; SURGERY; TREES (MATHEMATICS);

TUMORS;

2 HYDROXYGLUTARIC ACID; ANTINEOPLASTIC AGENT; CHOLINE; GLUTATHIONE; GLYCEROPHOSPHORYLCHOLINE; HYPOTAURINE; INOSITOL; LIPID; PHOSPHORYLCHOLINE;

ACCURACY; ADULT; ALGORITHM; AREA UNDER THE CURVE; ARTICLE; BOOTSTRAPPING; CANCER CHEMOTHERAPY; CANCER DIAGNOSIS; CANCER GRADING; CANCER GROWTH; CANCER RADIOTHERAPY; CANCER SURGERY; CONCEPTUAL FRAMEWORK; DISCRIMINANT ANALYSIS; DISEASE SEVERITY; EX VIVO STUDY; FEASIBILITY STUDY; FEMALE; GLIOMA; HIGH RESOLUTION MAGIC ANGLE SPINNING SPECTROSCOPY; HISTOLOGY; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; LOW GRADE GLIOMA; MAJOR CLINICAL STUDY; MALE; MALIGNANT TRANSFORMATION; METABOLIC PARAMETERS; MULTIMODALITY CANCER THERAPY; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; OUTCOME ASSESSMENT; PATHOLOGIST; PATTERN RECOGNITION; PREDICTIVE VALUE; PRIORITY JOURNAL; RECALL; RECEIVER OPERATING CHARACTERISTIC; RECURRENT CANCER; STATISTICAL MODEL; SUPPORT VECTOR MACHINE; TRAINING; VALIDATION STUDY;

ALGORITHMS; BIOPSY; BRAIN NEOPLASMS; CELL TRANSFORMATION, NEOPLASTIC; COMPUTER SIMULATION; DISCRIMINANT ANALYSIS; GLIOMA; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LOGISTIC MODELS; MAGNETIC RESONANCE SPECTROSCOPY; MODELS, STATISTICAL; NEOPLASM GRADING; NEOPLASM RECURRENCE, LOCAL; PATTERN RECOGNITION, AUTOMATED;

ALGORITHMS; AMINO ACIDS; FORESTRY; MATERIALS HANDLING; MATHEMATICS; METABOLISM; NUCLEAR MAGNETIC RESONANCE; REGRESSION ANALYSIS; SPECTROSCOPY; TRANSPORT; TREES;

EID: 84862785180     PISSN: 09333657     EISSN: 18732860     Source Type: Journal    
DOI: 10.1016/j.artmed.2012.01.002     Document Type: Article

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