A radiomics model from joint FDG-PET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities

Physics in Medicine and Biology

Volumn 60, Issue 14, 2015, Pages 5471-5496

  Vallieres M ^a   Freeman, C R ^b   Skamene, S R ^b   El Naqa, I ^a,b  

^a MCGILL UNIVERSITY   (Canada)

^b MCGILL UNIVERSITY HEALTH CENTRE   (Canada)

Author keywords

FDG PET; lung metastases; MRI; outcome prediction; radiomics; soft tissue sarcoma; texture analysis

Indexed keywords

BIOLOGICAL ORGANS; DIAGNOSIS; FORECASTING; MAGNETIC RESONANCE IMAGING; PATHOLOGY; PATIENT TREATMENT; RISK ASSESSMENT; TISSUE; TUMORS; WAVELET TRANSFORMS;

FDG PET; LUNG METASTASIS; OUTCOME PREDICTION; RADIOMICS; SOFT TISSUE SARCOMA; TEXTURE ANALYSIS;

TEXTURES;

FLUORODEOXYGLUCOSE F 18; RADIOPHARMACEUTICAL AGENT;

ADOLESCENT; ADULT; AGED; ALGORITHM; FEMALE; HUMAN; LIMB; LUNG TUMOR; MALE; MIDDLE AGED; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; POSITRON EMISSION TOMOGRAPHY; PROCEDURES; SARCOMA; SCINTISCANNING; SECONDARY; VERY ELDERLY;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; EXTREMITIES; FEMALE; FLUORODEOXYGLUCOSE F18; HUMANS; LUNG NEOPLASMS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; POSITRON-EMISSION TOMOGRAPHY; RADIOPHARMACEUTICALS; SARCOMA;

EID: 84936085910     PISSN: 00319155     EISSN: 13616560     Source Type: Journal    
DOI: 10.1088/0031-9155/60/14/5471     Document Type: Article

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