Quantitative bone marrow magnetic resonance imaging through apparent diffusion coefficient and fat fraction in multiple myeloma patients
| Autor: | Alessandro Carriero, Alessandro Stecco, Silvano Andorno, Sara Berardo, Lidiia Sukhovei |
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| Rok vydání: | 2019 |
| Předmět: |
Adult
Male Asymptomatic Sensitivity and Specificity 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Body Water Bone Marrow medicine Effective diffusion coefficient Humans Radiology Nuclear Medicine and imaging Multiple myeloma Aged Retrospective Studies Aged 80 and over Analysis of Variance medicine.diagnostic_test business.industry Ultrasound Magnetic resonance imaging General Medicine Middle Aged medicine.disease Spinal column Spine medicine.anatomical_structure Diffusion Magnetic Resonance Imaging Adipose Tissue 030220 oncology & carcinogenesis Case-Control Studies Disease Progression Female Bone marrow medicine.symptom business Nuclear medicine Multiple Myeloma Infiltration (medical) |
| Zdroj: | La Radiologia medica. 126(3) |
| ISSN: | 1826-6983 |
| Popis: | Quantitative bone marrow (BM) MR sequences, as DWI and CSI, were used to evaluate BM water–fat composition. The aim of the study was to assess the potential usefulness of fat fraction (FF) and ADC, calculated by CSI or DWI, in diagnosing and classifying myeloma (MM) patients according to their different BM infiltration patterns. The study group included 43 MM patients (19F; 24M; mean age 64 years), 15 asymptomatic, 15 symptomatic with diffuse BM infiltration and 13 symptomatic with focal lesions (FLs). The control group was made up of 15 healthy subjects (7F; 8M; mean age 64 years). MRI examinations consisted of sagittal T1w TSE on the spinal column, axial DWI (b 50–400–800 mm2/s) and coronal T2 Dixon, on the whole body. Mean ADC and FF were calculated placing 1 ROI on 6 vertebras and 2 ROIs on either the pelvis or FL. ANOVA with Bonferroni’s correction showed a significant difference in ADC values among the different groups of MM patients (P |
| Databáze: | OpenAIRE |
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