A Comprehensive Set of Ultrashort Echo Time Magnetic Resonance Imaging Biomarkers to Assess Cortical Bone Health: A Feasibility Study at Clinical Field Strength

dc.contributor.authorJacobson, Andrea M.
dc.contributor.authorZhao, Xuandong
dc.contributor.authorSommer, Stefan
dc.contributor.authorSadik, Farhan
dc.contributor.authorWarden, Stuart J.
dc.contributor.authorNewman, Christopher
dc.contributor.authorSiegmund, Thomas
dc.contributor.authorAllen, Matthew R.
dc.contributor.authorSurowiec, Rachel K.
dc.contributor.departmentRadiology and Imaging Sciences, School of Medicine
dc.date.accessioned2025-05-13T07:48:23Z
dc.date.available2025-05-13T07:48:23Z
dc.date.issued2024
dc.description.abstractIntroduction: Conventional bone imaging methods primarily use X-ray techniques to assess bone mineral density (BMD), focusing exclusively on the mineral phase. This approach lacks information about the organic phase and bone water content, resulting in an incomplete evaluation of bone health. Recent research highlights the potential of ultrashort echo time magnetic resonance imaging (UTE MRI) to measure cortical porosity and estimate BMD based on signal intensity. UTE MRI also provides insights into bone water distribution and matrix organization, enabling a comprehensive bone assessment with a single imaging technique. Our study aimed to establish quantifiable UTE MRI-based biomarkers at clinical field strength to estimate BMD and microarchitecture while quantifying bound water content and matrix organization. Methods: Femoral bones from 11 cadaveric specimens (n = 4 males 67-92 yrs of age, n = 7 females 70-95 yrs of age) underwent dual-echo UTE MRI (3.0 T, 0.45 mm resolution) with different echo times and high resolution peripheral quantitative computed tomography (HR-pQCT) imaging (60.7 μm voxel size). Following registration, a 4.5 mm HR-pQCT region of interest was divided into four quadrants and used across the multi-modal images. Statistical analysis involved Pearson correlation between UTE MRI porosity index and a signal-intensity technique used to estimate BMD with corresponding HR-pQCT measures. UTE MRI was used to calculate T1 relaxation time and a novel bound water index (BWI), compared across subregions using repeated measures ANOVA. Results: The UTE MRI-derived porosity index and signal-intensity-based estimated BMD correlated with the HR-pQCT variables (porosity: r = 0.73, p = 0.006; BMD: r = 0.79, p = 0.002). However, these correlations varied in strength when we examined each of the four quadrants (subregions, r = 0.11-0.71). T1 relaxometry and the BWI exhibited variations across the four subregions, though these differences were not statistically significant. Notably, we observed a strong negative correlation between T1 relaxation time and the BWI (r = -0.87, p = 0.0006). Conclusion: UTE MRI shows promise for being an innocuous method for estimating cortical porosity and BMD parameters while also giving insight into bone hydration and matrix organization. This method offers the potential to equip clinicians with a more comprehensive array of imaging biomarkers to assess bone health without the need for invasive or ionizing procedures.
dc.eprint.versionAuthor's manuscript
dc.identifier.citationJacobson AM, Zhao X, Sommer S, et al. A comprehensive set of ultrashort echo time magnetic resonance imaging biomarkers to assess cortical bone health: A feasibility study at clinical field strength. Bone. 2024;181:117031. doi:10.1016/j.bone.2024.117031
dc.identifier.urihttps://hdl.handle.net/1805/48003
dc.language.isoen_US
dc.publisherElsevier
dc.relation.isversionof10.1016/j.bone.2024.117031
dc.relation.journalBone
dc.rightsPublisher Policy
dc.sourcePMC
dc.subjectBone
dc.subjectBone mineral density
dc.subjectBone water
dc.subjectHigh resolution peripheral quantitative computed tomography
dc.subjectPorosity
dc.subjectUltrashort echo time magnetic resonance imaging
dc.titleA Comprehensive Set of Ultrashort Echo Time Magnetic Resonance Imaging Biomarkers to Assess Cortical Bone Health: A Feasibility Study at Clinical Field Strength
dc.typeArticle
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