Background
In the future, biochemical MRI might provide a valuable noninvasive quantitative analysis of the biochemical composition of cartilage in osteonecrosis of the femoral head (ONFH).
Purpose
To investigate the diagnostic performance of T1ρ and T2 mapping in cartilage denaturalization with ONFH and to determine the correlation between T1ρ and T2 mapping and the Association Research Circulation Osseous (ARCO) stage.
Study Type
Prospective.
Subjects
Forty‐seven patients with ONFH (stage I to III according to the ARCO criteria) and 24 volunteers (control group) were recruited for the prospective study.
Sequence
Conventional MRI, multiple echo recalled gradient echo (MERGE), and T1ρ and T2 mapping sequences.
Assessment
Pseudocolor images and MERGE images were combined in the AW4.5 workstation. The region of interest (ROI) of the hip cartilage was 4–6 mm². The sagittal T1ρ and T2 mapping values were calculated by the two first authors.
Statistical Tests
One‐way analysis of variance (ANOVA), LSD t‐tests, Pearson correlation analysis, and receiver operator characteristic (ROC) curves. The significance level was set at P < 0.05.
Results
The T1ρ and T2 mapping values of the ONFH group were significantly higher than the values of the control group (P = 0.000). Regarding the assessment of the severity of ARCO staging, both T1ρ (r = 0.66, P = 0.004) and T2 mapping (r = 0.501, P = 0.002) were positively associated with disease severity. The T1ρ values were positively correlated with the T2 mapping values (r = 0.381, P = 0.000). The areas under the curve (AUC) for the T1ρ and T2 mapping values were 0.822 and 0.791, respectively. The diagnostic sensitivity and specificity were 72.34% and 70.83% for T1ρ mapping and 72.34% and 58.33%, respectively, for T2 mapping.
Data Conclusion
Both T1ρ and T2 mapping performed well in diagnosing the cartilage denaturalization in ARCO stage I‐III ONFH patients. T1ρ mapping had a higher diagnostic sensitivity and specificity than T2 mapping.
Level of Evidence: 2
Technical Efficacy: Stage 2
J. Magn. Reson. Imaging 2018.
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