Quantitative MRI Dixon signal drop and fat fraction for differentiating bone marrow lesions: a two-center prospective analysis

Quantitative Dixon MRI thresholds of %drop ≤ 19.8% and %fat ≤ 18.3% were established as reliable predictors of malignancy in bone marrow lesions. Dixon metrics demonstrated superior diagnostic accuracy (86.6-87.2%), compared to conventional T1-weighted sequences (79.2%). Excellent inter-reader reliability (κ = 0.895-0.943) supports the reproducibility of quantitative Dixon MRI in clinical practice.

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Publication Details

Journal
European Radiology Experimental
Published
2025-09-10
DOI
https://doi.org/10.1186/s41747-025-00615-9
Citations
1
Primary Topic
Bone and Joint Diseases
Type
article
Field-Weighted Citation Impact
1.72

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Quantitative MRI Dixon signal drop and fat fraction for differentiating bone marrow lesions: a two-center prospective analysis

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Quantitative MRI Dixon signal drop and fat fraction for differentiating bone marrow lesions: a two-center prospective analysis

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article en
1 citations

Abstract

Quantitative Dixon MRI thresholds of %drop ≤ 19.8% and %fat ≤ 18.3% were established as reliable predictors of malignancy in bone marrow lesions. Dixon metrics demonstrated superior diagnostic accuracy (86.6-87.2%), compared to conventional T1-weighted sequences (79.2%). Excellent inter-reader reliability (κ = 0.895-0.943) supports the reproducibility of quantitative Dixon MRI in clinical practice.

European Radiology ExperimentalVol. 9(1)
Cairo University (EG), Qassim University (SA), Zagazig University (EG), McMaster University Medical Centre (CA), Najran University (SA), King Khalid University (SA), McMaster University (CA)
Zagazig University
Openalex Percentile: Top 15%
Bone and Joint Diseases
1.72
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