Metrics and textural features of MRI diffusion to improve classification of pediatric posterior fossa tumors

American Journal of Neuroradiology

Volumn 39, Issue 5, 2014, Pages 1009-1015

  Gutierrez, D Rodriguez ^a   Awwad, A ^a,b   Meijer, L ^a,b   Manita, M ^a   Jaspan, T ^b   Dineen, R A ^a,b   Grundy, R G ^a   Auer, Dorothee P ^a  

^a UNIVERSITY OF NOTTINGHAM   (United Kingdom)

^b NOTTINGHAM UNIVERSITY HOSPITALS NHS TRUST   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CHILD; CLINICAL ARTICLE; CONTRAST ENHANCEMENT; DIAGNOSTIC VALUE; DIFFUSION COEFFICIENT; DIFFUSION TENSOR IMAGING; DIFFUSION WEIGHTED IMAGING; EPENDYMOMA; FEMALE; HISTOGRAM; HUMAN; MALE; MEDULLOBLASTOMA; NUCLEAR MAGNETIC RESONANCE SCANNER; PILOCYTIC ASTROCYTOMA; POSTERIOR CRANIAL FOSSA TUMOR; PREOPERATIVE EVALUATION; QUANTITATIVE ANALYSIS; SUPPORT VECTOR MACHINE; TUMOR CLASSIFICATION; TUMOR DIFFERENTIATION; ADOLESCENT; ALGORITHM; ARTIFICIAL INTELLIGENCE; ASTROCYTOMA; AUTOMATED PATTERN RECOGNITION; CEREBELLUM TUMOR; CLASSIFICATION; COMPUTER ASSISTED DIAGNOSIS; DIFFERENTIAL DIAGNOSIS; IMAGE ENHANCEMENT; INFANT; PATHOLOGY; PRESCHOOL CHILD; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; CONFERENCE PAPER; DIAGNOSTIC TEST ACCURACY STUDY; IMAGE ANALYSIS; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PARAMETERS; PEDIATRICS; RETROSPECTIVE STUDY; SUSCEPTIBILITY WEIGHTED IMAGING;

ADOLESCENT; ALGORITHMS; ARTIFICIAL INTELLIGENCE; ASTROCYTOMA; CHILD; CHILD, PRESCHOOL; DIAGNOSIS, DIFFERENTIAL; DIFFUSION MAGNETIC RESONANCE IMAGING; EPENDYMOMA; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFANT; INFRATENTORIAL NEOPLASMS; MALE; MEDULLOBLASTOMA; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84901038106     PISSN: 01956108     EISSN: 1936959X     Source Type: Journal    
DOI: 10.3174/ajnr.A3784     Document Type: Article

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