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Purpose Vertebral fat-water changes are associated with osteoporosis or aging, and usually the changes are assessed with advanced magnetic resonance imaging (MRI) techniques. In this study, routine T1- and T2-weighted sequences are employed to introduce novel MRI scores for indicating fat-water-like changes. Methods A retrospective study of 165 females (42 +/- 13 years), and a pilot study of twenty volunteers (60.85 +/- 5.05) examined with MRI, were conducted. Mean signal intensities (SIs) were calculated for 926 vertebrae (L1 - L5). F-score(sc.fat) (for fat) and W-score(cs.fluid) (for water) were defined as the median SI from L1 - L5 over subcutaneous fat (T1WI-control) and cerebrospinal fluid (T2WI-control), respectively. Reliability analysis was conducted to evaluate the consistency of the scores, and Pearson correlation was used to assess the relationships between variables and age. Unpaired t-tests were employed to identify differences between the abnormal and control groups, with significance set at p < 0.05. The distribution of scores was examined using box-and-whisker plots, alongside descriptive statistics for both the scores and associated diseases. Results Moderate-to-strong positive correlations were found between F-score(sc.fat) (r = 0.67, p < 0.05) and W-score(cs.fluid) (r = 0.49, p < 0.05) vs. patient age, compared to signal-to-noise ratio (SNR) vs. age (T1WI, r = 0.18; T2WI, r = 0.04). Significantly, higher scores were reported in patients with spine disorders. The F-score(sc.fat) (5.77 and 4.36) and W-score(cs.fluid) (6.67 and 5.13) were found to differentiate between volunteers with and without osteoporosis (defined by the DXA T-score). Conclusion A novel MRI scoring method was introduced indicating fat-water-like changes, utilizing routine sequences. The scores correlated with aging and can distinguish between healthy and diseased spines.
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CHINESE JOURNAL OF ACADEMIC RADIOLOGY
ISSN: 2520-8985
Year: 2025
Cited Count:
SCOPUS Cited Count: 1
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 8
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