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Daniel CR, Taylor SE, McPhee S, Wolfram U, Schwarz T, Sommer S, Kershaw LE. Relationship between CT-Derived Bone Mineral Density and UTE-MR-Derived Porosity Index in Equine Third Metacarpal and Metatarsal Bones. Animals (Basel) 2023; 13:2780. [PMID: 37685045 PMCID: PMC10487176 DOI: 10.3390/ani13172780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 08/28/2023] [Accepted: 08/29/2023] [Indexed: 09/10/2023] Open
Abstract
Fatigue-related subchondral bone injuries of the third metacarpal/metatarsal (McIII/MtIII) bones are common causes of wastage, and they are welfare concerns in racehorses. A better understanding of bone health and strength would improve animal welfare and be of benefit for the racing industry. The porosity index (PI) is an indirect measure of osseous pore size and number in bones, and it is therefore an interesting indicator of bone strength. MRI of compact bone using traditional methods, even with short echo times, fail to generate enough signal to assess bone architecture as water protons are tightly bound. Ultra-short echo time (UTE) sequences aim to increase the amount of signal detected in equine McIII/MtIII condyles. Cadaver specimens were imaged using a novel dual-echo UTE MRI technique, and PI was calculated and validated against quantitative CT-derived bone mineral density (BMD) measures. BMD and PI are inversely correlated in equine distal Mc/MtIII bone, with a weak mean r value of -0.29. There is a statistically significant difference in r values between the forelimbs and hindlimbs. Further work is needed to assess how correlation patterns behave in different areas of bone and to evaluate PI in horses with and without clinically relevant stress injuries.
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Affiliation(s)
- Carola Riccarda Daniel
- Royal (Dick) School of Veterinary Studies, The Roslin Institute, The University of Edinburgh, Edinburgh EH25 9RG, UK
| | - Sarah Elizabeth Taylor
- Royal (Dick) School of Veterinary Studies, The Roslin Institute, The University of Edinburgh, Edinburgh EH25 9RG, UK
| | - Samuel McPhee
- Institute of Mechanical, Process and Energy Engineering, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh EH14 4AS, UK; (S.M.)
| | - Uwe Wolfram
- Institute of Mechanical, Process and Energy Engineering, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh EH14 4AS, UK; (S.M.)
| | - Tobias Schwarz
- Royal (Dick) School of Veterinary Studies, The Roslin Institute, The University of Edinburgh, Edinburgh EH25 9RG, UK
| | - Stefan Sommer
- Siemens Healthcare, 8047 Zurich, Switzerland;
- Swiss Center for Musculoskeletal Imaging (SCMI), Balgrist Campus, 8008 Zurich, Switzerland
- Advanced Clinical Imaging Technology (ACIT), Siemens Healthcare AG, 1015 Lausanne, Switzerland
| | - Lucy E. Kershaw
- Centre for Cardiovascular Sciences and Edinburgh Imaging, The University of Edinburgh, Edinburgh EH16 4TJ, UK;
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2
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Newman CL, Surowiec RK, Swallow EA, Metzger CE, Kim J, Tomaschke AA, Chen NX, Allen MR, Wallace JM, Moe SM, Wu YC, Niziolek PJ. Assessing cortical bone porosity with MRI in an animal model of chronic kidney disease. Bone 2023; 173:116808. [PMID: 37207990 PMCID: PMC11167728 DOI: 10.1016/j.bone.2023.116808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 05/07/2023] [Accepted: 05/15/2023] [Indexed: 05/21/2023]
Abstract
Chronic kidney disease (CKD) is characterized by secondary hyperparathyroidism and an increased risk of hip fractures predominantly related to cortical porosity. Unfortunately, bone mineral density measurements and high-resolution peripheral computed tomography (HR-pQCT) imaging have shortcomings that limit their utility in these patients. Ultrashort echo time magnetic resonance imaging (UTE-MRI) has the potential to overcome these limitations by providing an alternative assessment of cortical porosity. The goal of the current study was to determine if UTE-MRI could detect changes in porosity in an established rat model of CKD. Cy/+ rats (n = 11), an established animal model of CKD-MBD, and their normal littermates (n = 12) were imaged using microcomputed tomography (microCT) and UTE-MRI at 30 and 35 weeks of age (which approximates late-stage kidney disease in humans). Images were obtained at the distal tibia and the proximal femur. Cortical porosity was assessed using the percent porosity (Pore%) calculated from microCT imaging and the porosity index (PI) calculated from UTE-MRI. Correlations between Pore% and PI were also calculated. Cy/+ rats had higher Pore% than normal rats at both skeletal sites at 35 weeks (tibia = 7.13 % +/- 5.59 % vs. 0.51 % +/- 0.09 %, femur = 19.99 % +/- 7.72 % vs. 2.72 % +/- 0.32 %). They also had greater PI at the distal tibia at 30 weeks of age (0.47 +/- 0.06 vs. 0.40 +/- 0.08). However, Pore% and PI were only correlated in the proximal femur at 35 weeks of age (ρ = 0.929, Spearman). These microCT results are consistent with prior studies in this animal model utilizing microCT imaging. The UTE-MRI results were inconsistent, resulting in variable correlations with microCT imaging, which may be related to suboptimal bound and pore water discrimination at higher magnetic field strengths. Nevertheless, UTE-MRI may still provide an additional clinical tool to assess fracture risk without using ionizing radiation in CKD patients.
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Affiliation(s)
- Christopher L Newman
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States of America.
| | - Rachel K Surowiec
- Department of Biomedical Engineering, Indiana University-Purdue University, Indianapolis, Indianapolis, IN, United States of America
| | | | - Corinne E Metzger
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, United States of America
| | - Jieun Kim
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, United States of America
| | - Andrew A Tomaschke
- Department of Biomedical Engineering, Indiana University-Purdue University, Indianapolis, Indianapolis, IN, United States of America
| | - Neal X Chen
- Division of Nephrology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, United States of America
| | - Matthew R Allen
- Department of Biomedical Engineering, Indiana University-Purdue University, Indianapolis, Indianapolis, IN, United States of America; Department of Anatomy, Cell Biology, and Physiology, Indiana University School of Medicine, Indianapolis, IN, United States of America; Division of Nephrology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, United States of America
| | - Joseph M Wallace
- Department of Biomedical Engineering, Indiana University-Purdue University, Indianapolis, Indianapolis, IN, United States of America
| | - Sharon M Moe
- Division of Nephrology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, United States of America
| | - Yu-Chien Wu
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States of America
| | - Paul J Niziolek
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States of America
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3
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Surowiec RK, Allen MR, Wallace JM. Bone hydration: How we can evaluate it, what can it tell us, and is it an effective therapeutic target? Bone Rep 2022; 16:101161. [PMID: 35005101 PMCID: PMC8718737 DOI: 10.1016/j.bonr.2021.101161] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 12/10/2021] [Accepted: 12/11/2021] [Indexed: 12/22/2022] Open
Abstract
Water constitutes roughly a quarter of the cortical bone by volume yet can greatly influence mechanical properties and tissue quality. There is a growing appreciation for how water can dynamically change due to age, disease, and treatment. A key emerging area related to bone mechanical and tissue properties lies in differentiating the role of water in its four different compartments, including free/pore water, water loosely bound at the collagen/mineral interfaces, water tightly bound within collagen triple helices, and structural water within the mineral. This review summarizes our current knowledge of bone water across the four functional compartments and discusses how alterations in each compartment relate to mechanical changes. It provides an overview on the advent of- and improvements to- imaging and spectroscopic techniques able to probe nano-and molecular scales of bone water. These technical advances have led to an emerging understanding of how bone water changes in various conditions, of which aging, chronic kidney disease, diabetes, osteoporosis, and osteogenesis imperfecta are reviewed. Finally, it summarizes work focused on therapeutically targeting water to improve mechanical properties.
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Affiliation(s)
- Rachel K. Surowiec
- Department of Anatomy, Cell Biology & Physiology, Indiana University School of Medicine, Indianapolis, IN, United States
- Department of Biomedical Engineering, Indiana University Purdue University of Indianapolis, Indianapolis, IN, United States
| | - Matthew R. Allen
- Department of Anatomy, Cell Biology & Physiology, Indiana University School of Medicine, Indianapolis, IN, United States
- Department of Biomedical Engineering, Indiana University Purdue University of Indianapolis, Indianapolis, IN, United States
- Roudebush Veterans Administration Medical Center, Indianapolis, IN, United States
| | - Joseph M. Wallace
- Department of Biomedical Engineering, Indiana University Purdue University of Indianapolis, Indianapolis, IN, United States
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Li W, Li Y, Gao Q, Liu J, Wen Q, Jia S, Tang F, Mo L, Zhang Y, Zhai M, Chen Y, Guo Y, Gong W. Change in knee cartilage components in stroke patients with genu recurvatum analysed by zero TE MR imaging. Sci Rep 2022; 12:3751. [PMID: 35260668 PMCID: PMC8904817 DOI: 10.1038/s41598-022-07817-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 02/25/2022] [Indexed: 11/23/2022] Open
Abstract
Genu recurvatum in stroke patients with hemiplegia causes readily cumulative damage and degenerative changes in the knee cartilage. It is important to detect early cartilage lesions for appropriate treatment and rehabilitation. The purpose of this cross-sectional study was to provide a theoretical basis for the early rehabilitation of hemiplegia patients. We used a zero TE double-echo imaging sequence to analyse the water content in knee joint cartilage at 12 different sites of 39 stroke patients with genu recurvatum and 9 healthy volunteers using a metric similar to the porosity index. When comparing the hemiplegic limb vs. the nonhemiplegic limb in patients, the ratios of the deep/shallow free water content of the femur cartilages at the anterior horn (1.16 vs. 1.06) and posterior horn (1.13 vs. 1.25) of the lateral meniscus were significantly different. Genu recurvatum in stroke patients with hemiplegia can cause changes in the moisture content of knee cartilage, and the changes in knee cartilage are more obvious as the genu recurvatum increases. The "healthy limb" can no longer be considered truly healthy and should be considered simultaneously with the affected limb in the development of a rehabilitation treatment plan.
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Affiliation(s)
- Wenshan Li
- Beijing Rehabilitation Medicine Academy, Capital Medical University, Beijing, 100144, China
| | - Youwei Li
- Department of Radiology, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, 100144, China
| | - Qiang Gao
- Scientific Research Department, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, 100144, China
| | - Jingxin Liu
- Department of Radiology, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, 100144, China
| | - Qiping Wen
- Department of Radiology, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, 100144, China
| | - Shiqi Jia
- Department of Radiology, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, 100144, China
| | - Fen Tang
- Department of Radiology, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, 100144, China
| | - Linhong Mo
- Department of Neurological Rehabilitation, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, 100144, China
| | - Yuanfang Zhang
- Department of Radiology, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, 100144, China
| | - Mingchun Zhai
- Department of Radiology, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, 100144, China
| | - Yukun Chen
- Department of Radiology, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, 100144, China
| | - Yue Guo
- Department of Radiology, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, 100144, China
| | - Weijun Gong
- Department of Neurological Rehabilitation, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, 100144, China.
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5
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Jones BC, Jia S, Lee H, Feng A, Shetye SS, Batzdorf A, Shapira N, Noël PB, Pleshko N, Rajapakse CS. MRI-derived porosity index is associated with whole-bone stiffness and mineral density in human cadaveric femora. Bone 2021; 143:115774. [PMID: 33271401 PMCID: PMC7769997 DOI: 10.1016/j.bone.2020.115774] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 11/23/2020] [Accepted: 11/24/2020] [Indexed: 01/13/2023]
Abstract
Ultrashort echo time (UTE) magnetic resonance imaging (MRI) measures proton signals in cortical bone from two distinct water pools, bound water, or water that is tightly bound to bone matrix, and pore water, or water that is freely moving in the pore spaces in bone. By isolating the signal contribution from the pore water pool, UTE biomarkers can directly quantify cortical bone porosity in vivo. The Porosity Index (PI) is one non-invasive, clinically viable UTE-derived technique that has shown strong associations in the tibia with μCT porosity and other UTE measures of bone water. However, the efficacy of the PI biomarker has never been examined in the proximal femur, which is the site of the most catastrophic osteoporotic fractures. Additionally, the loads experienced during a sideways fall are complex and the femoral neck is difficult to image with UTE, so the usefulness of the PI in the femur was unknown. Therefore, the aim of this study was to examine the relationships between the PI measure in the proximal cortical shaft of human cadaveric femora specimens compared to (1) QCT-derived bone mineral density (BMD) and (2) whole bone stiffness obtained from mechanical testing mimicking a sideways fall. Fifteen fresh, frozen whole cadaveric femora specimens (age 72.1 ± 15.0 years old, 10 male, 5 female) were scanned on a clinical 3-T MRI using a dual-echo UTE sequence. Specimens were then scanned on a clinical CT scanner to measure volumetric BMD (vBMD) and then non-destructively mechanically tested in a sideways fall configuration. The PI in the cortical shaft demonstrated strong correlations with bone stiffness (r = -0.82, P = 0.0014), CT-derived vBMD (r = -0.64, P = 0.0149), and with average cortical thickness (r = -0.60, P = 0.0180). Furthermore, a hierarchical regression showed that PI was a strong predictor of bone stiffness which was independent of the other parameters. The findings from this study validate the MRI-derived porosity index as a useful measure of whole-bone mechanical integrity and stiffness.
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Affiliation(s)
- Brandon C Jones
- Department of Radiology, University of Pennsylvania, United States of America; Department of Bioengineering, University of Pennsylvania, United States of America.
| | - Shaowei Jia
- Department of Radiology, University of Pennsylvania, United States of America; School of Biomedical Science and Medical Engineering, Beihang University, China
| | - Hyunyeol Lee
- Department of Radiology, University of Pennsylvania, United States of America
| | - Anna Feng
- Department of Bioengineering, University of Pennsylvania, United States of America
| | - Snehal S Shetye
- Department of Orthopaedic Surgery, University of Pennsylvania, United States of America
| | - Alexandra Batzdorf
- Department of Radiology, University of Pennsylvania, United States of America
| | - Nadav Shapira
- Department of Radiology, University of Pennsylvania, United States of America
| | - Peter B Noël
- Department of Radiology, University of Pennsylvania, United States of America
| | - Nancy Pleshko
- Department of Bioengineering, Temple University, United States of America
| | - Chamith S Rajapakse
- Department of Radiology, University of Pennsylvania, United States of America; Department of Orthopaedic Surgery, University of Pennsylvania, United States of America
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6
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Xiong Y, He T, Wang Y, Liu WV, Hu S, Zhang Y, Wen D, Hou B, Li Y, Zhang P, Liu J, He F, Li X. CKD Stages, Bone Metabolism Markers, and Cortical Porosity Index: Associations and Mediation Effects Analysis. Front Endocrinol (Lausanne) 2021; 12:775066. [PMID: 34803931 PMCID: PMC8602844 DOI: 10.3389/fendo.2021.775066] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 10/20/2021] [Indexed: 01/02/2023] Open
Abstract
Chronic kidney disease (CKD) has a significant negative impact on bone health. However, the mechanisms of cortical bone deterioration and cortical porosity enlargement caused by CKD have not been fully described. We therefore examined the association of CKD stages with cortical porosity index (PI), and explored potential mediators of this association. Double-echo ultrashort echo-time magnetic resonance imaging (UTE MRI) provides the possibility of quantifying cortical porosity in vivo. A total of 95 patients with CKD stages 2-5 underwent 3D double-echo UTE-Cones MRI (3.0T) of the midshaft tibia to obtain the PI. PI was defined as the ratio of the image signal intensity of a sufficiently long echo time (TE) to the shortest achievable TE. Parathyroid hormone (PTH), β-CrossLaps (β-CTX), total procollagen type I amino-terminal propeptide (T-P1NP), osteocalcin (OC), 25-hydroxyvitamin D (25OHD), and lumbar bone mineral density (BMD) were measured within one week of the MRI. Partial correlation analysis was performed to address associations between PI, eGFR and potential mediators (PTH, β-CTX, T-P1NP, OC, 25OHD, BMD, and T-score). Multiple linear regression models were used to assess the association between CKD stages and PI value. Then, a separate exploratory mediation analysis was carried out to explore the impact of CKD stages and mediators on the PI value. The increasing CKD stages were associated with a higher PI value (Ptrend < 0.001). The association of CKD stages and PI mediated 34.4% and 30.8% of the total effect by increased PTH and β-CTX, respectively. Our study provides a new idea to monitor bone health in patients with CKD, and reveals the internal mechanism of bone deterioration caused by CKD to some extent.
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Affiliation(s)
- Yan Xiong
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tongxiang He
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yanan Wang
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | | | - Shuang Hu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yao Zhang
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Donglin Wen
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Bowen Hou
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yitong Li
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Peisen Zhang
- Department of Rehabilitation Medicine, School of Medicine, Guangzhou First People’s Hospital, South China University of Technology, Guangzhou, China
| | | | - Fan He
- Department of Nephrology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- *Correspondence: Fan He, ; Xiaoming Li,
| | - Xiaoming Li
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- *Correspondence: Fan He, ; Xiaoming Li,
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7
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Hong AL, Ispiryan M, Padalkar MV, Jones BC, Batzdorf AS, Shetye SS, Pleshko N, Rajapakse CS. MRI-derived bone porosity index correlates to bone composition and mechanical stiffness. Bone Rep 2019; 11:100213. [PMID: 31372372 PMCID: PMC6660551 DOI: 10.1016/j.bonr.2019.100213] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Revised: 06/13/2019] [Accepted: 06/19/2019] [Indexed: 01/11/2023] Open
Abstract
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 (R2 = 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.
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Affiliation(s)
- Abigail L Hong
- Department of Radiology, University of Pennsylvania, United States of America
| | - Mikayel Ispiryan
- Department of Radiology, University of Pennsylvania, United States of America
| | - Mugdha V Padalkar
- Department of Bioengineering, Temple University, United States of America
| | - Brandon C Jones
- Department of Radiology, University of Pennsylvania, United States of America.,Department of Orthopaedic Surgery, University of Pennsylvania, United States of America
| | | | - Snehal S Shetye
- Department of Orthopaedic Surgery, University of Pennsylvania, United States of America
| | - Nancy Pleshko
- Department of Bioengineering, Temple University, United States of America
| | - Chamith S Rajapakse
- Department of Radiology, University of Pennsylvania, United States of America.,Department of Orthopaedic Surgery, University of Pennsylvania, United States of America
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