ArticlePloS one2015
Iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL) magnetic resonance imaging as a biomarker for symptomatic multiple myeloma.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 35 citations in OpenAlex.
- How I Do It: MRI of the Bone with Marrow-specific Sequences.Radiology · 2025Review
- Development and Validation of Four Different Methods to Improve MRI-CEST Tumor pH Mapping in Presence of Fat.Journal of imaging · 2024Article
- Advances in Bone Marrow Imaging: Strengths and Limitations from a Clinical Perspective.Seminars in musculoskeletal radiology · 2023Article
- Correlation between whole skeleton dual energy CT calcium-subtracted attenuation and bone marrow infiltration in multiple myeloma.European journal of radiology · 2022Article
- Voxel-based mapping of five MR biomarkers in the wrist bone marrow.Magma (New York, N.Y.) · 2021Article
- Repeatability and reproducibility of apparent diffusion coefficient and fat fraction measurement of focal myeloma lesions on whole body magnetic resonance imaging.The British journal of radiology · 2021Article
- Pictorial review of whole body MRI in myeloma: emphasis on diffusion-weighted imaging.The British journal of radiology · 2020Article
- Characterization of Intervertebral Disc Changes in Asymptomatic Individuals with Distinct Physical Activity Histories Using Three Different Quantitative MRI Techniques.Journal of clinical medicine · 2020Article
- Article
- Whole Body MRI and oncology: recent major advances.The British journal of radiology · 2018Review
- Fat fraction mapping using magnetic resonance imaging: insight into pathophysiology.The British journal of radiology · 2018Article
- Proton density fat fraction (PDFF) MRI for differentiation of benign and malignant vertebral lesions.European radiology · 2018Article
- Quantification and visualization of lipid landscape in glioma using in -and opposed-phase imaging.NeuroImage. Clinical · 2018Article
- Multiple myeloma of the spine.The neuroradiology journal · 2017Review
- Whole body magnetic resonance imaging in newly diagnosed multiple myeloma: early changes in lesional signal fat fraction predict disease response.British journal of haematology · 2017Article
- Diagnostic utility of whole body Dixon MRI in multiple myeloma: A multi-reader study.PloS one · 2017Article
- Applications of the Dixon technique in the evaluation of the musculoskeletal system.Radiologia brasileiraReview
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionTo evaluate the effectiveness of iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL) magnetic resonance imaging (MRI) to discriminate between symptomatic and asymptomatic myeloma in lumbar bone marrow without visible focal lesions. MATERIALS AND
methodsThe lumbar spine was examined with 3-T MRI in 11 patients with asymptomatic myeloma and 24 patients with symptomatic myeloma. The fat-signal fraction was calculated from the ratio of the signal intensity in the fat image divided by the signal intensity of the corresponding ROI in the in-phase IDEAL image. The t test was used to compare the asymptomatic and symptomatic groups. ROC curves were constructed to determine the ability of variables to discriminate between symptomatic and asymptomatic myeloma.
resultsUnivariate analysis showed that β2-microglobulin and bone marrow plasma cell percent (BMPC%) were significantly higher and fat-signal fraction was significantly lower with symptomatic myeloma than with asymptomatic myeloma. Areas under the curve were 0.847 for β2;-microglobulin, 0.834 for fat-signal fraction, and 0.759 for BMPC%.
conclusionThe fat-signal fraction as a biomarker for multiple myeloma enables discrimination of symptomatic myeloma from asymptomatic myeloma. The fat-signal fraction offers superior sensitivity and specificity to BMPC% of biopsy specimens.
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