MRI-derived bone porosity index correlates to bone composition and mechanical stiffness
The MRI-derived porosity index (PI) is a non-invasively obtained biomarker based on an ultrashort echo time sequence that images both bound and pore water protons in bone, corresponding to water bound to organic collagenous matrix and freely moving water, respectively. This measure is known to strongly correlate with the actual volumetric cortical bone porosity. However, it is unknown whether PI may also be able to directly quantify bone organic composition and/or mechanical properties. We investigated this in human cadaveric tibiae by comparing PI values to near infrared spectral imaging (NIRSI) compositional data and mechanical compression data. Data were obtained from a cohort of eighteen tibiae from male and female donors with a mean ± SD age of 70 ± 21 years. Biomechanical stiffness in compression and NIRSI-derived collagen and bound water content all had significant inverse correlations with PI (r = -0.79, -0.73, and -0.95 and p = 0.002, 0.007, and <0.001, respectively). The MRI-derived bone PI alone was a moderate predictor of bone stiffness (R 2 = 0.63, p = 0.002), and multivariate analyses showed that neither cortical bone cross-sectional area nor NIRSI values improved bone stiffness prediction compared to PI alone. However, NIRSI-obtained collagen and water data together were a moderate predictor of bone stiffness (R2 = 0.52, p = 0.04). Our data validates the MRI-derived porosity index as a strong predictor of organic composition of bone and a moderate predictor of bone stiffness, and also provides preliminary evidence that NIRSI measures may be useful in future pre-clinical studies on bone pathology.
| Errataetall: | |
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| Medienart: |
E-Artikel |
| Erscheinungsjahr: |
2019 |
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| Erschienen: |
2019 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:11 |
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| Enthalten in: |
Bone reports - 11(2019) vom: 31. Dez., Seite 100213 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Hong, Abigail L [VerfasserIn] |
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| Links: |
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| Themen: |
Bone biomechanics |
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| Anmerkungen: |
Date Revised 21.06.2021 published: Electronic-eCollection ErratumIn: Bone Rep. 2021 Apr 29;14:101084. - PMID 34150955 Citation Status PubMed-not-MEDLINE |
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| doi: |
10.1016/j.bonr.2019.100213 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM29983719X |
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| 500 | |a ErratumIn: Bone Rep. 2021 Apr 29;14:101084. - PMID 34150955 | ||
| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a The MRI-derived porosity index (PI) is a non-invasively obtained biomarker based on an ultrashort echo time sequence that images both bound and pore water protons in bone, corresponding to water bound to organic collagenous matrix and freely moving water, respectively. This measure is known to strongly correlate with the actual volumetric cortical bone porosity. However, it is unknown whether PI may also be able to directly quantify bone organic composition and/or mechanical properties. We investigated this in human cadaveric tibiae by comparing PI values to near infrared spectral imaging (NIRSI) compositional data and mechanical compression data. Data were obtained from a cohort of eighteen tibiae from male and female donors with a mean ± SD age of 70 ± 21 years. Biomechanical stiffness in compression and NIRSI-derived collagen and bound water content all had significant inverse correlations with PI (r = -0.79, -0.73, and -0.95 and p = 0.002, 0.007, and <0.001, respectively). The MRI-derived bone PI alone was a moderate predictor of bone stiffness (R 2 = 0.63, p = 0.002), and multivariate analyses showed that neither cortical bone cross-sectional area nor NIRSI values improved bone stiffness prediction compared to PI alone. However, NIRSI-obtained collagen and water data together were a moderate predictor of bone stiffness (R2 = 0.52, p = 0.04). Our data validates the MRI-derived porosity index as a strong predictor of organic composition of bone and a moderate predictor of bone stiffness, and also provides preliminary evidence that NIRSI measures may be useful in future pre-clinical studies on bone pathology | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Bone biomechanics | |
| 650 | 4 | |a Bone stiffness | |
| 650 | 4 | |a MRI | |
| 650 | 4 | |a Magnetic resonance imaging | |
| 650 | 4 | |a Near infrared spectral imaging | |
| 650 | 4 | |a Porosity index | |
| 650 | 4 | |a Ultrashort echo time | |
| 700 | 1 | |a Ispiryan, Mikayel |e verfasserin |4 aut | |
| 700 | 1 | |a Padalkar, Mugdha V |e verfasserin |4 aut | |
| 700 | 1 | |a Jones, Brandon C |e verfasserin |4 aut | |
| 700 | 1 | |a Batzdorf, Alexandra S |e verfasserin |4 aut | |
| 700 | 1 | |a Shetye, Snehal S |e verfasserin |4 aut | |
| 700 | 1 | |a Pleshko, Nancy |e verfasserin |4 aut | |
| 700 | 1 | |a Rajapakse, Chamith S |e verfasserin |4 aut | |
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