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Yang TJ, Wen PP, Ye X, Wu XF, Zhang C, Sun SY, Wu ZX, Zhang GY, Sun YF, Ye R, Zhou CK, He HJ. CT Hounsfield units in assessing bone and soft tissue quality in the proximal femur: A systematic review focusing on osteonecrosis and total hip arthroplasty. PLoS One 2025; 20:e0319907. [PMID: 40138288 PMCID: PMC11940759 DOI: 10.1371/journal.pone.0319907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Accepted: 02/10/2025] [Indexed: 03/29/2025] Open
Abstract
BACKGROUND Computed tomography (CT) Hounsfield Units (HU) offer valuable insights into the changes in bone and soft tissue densities, playing a crucial role in the diagnosis and management of various proximal femur conditions. This systematic review aims to consolidate the application of HU in assessing tissue quality in the proximal femur, with a special focus on osteonecrosis of the femoral head (ONFH) and implications for total hip arthroplasty (THA), thereby addressing unresolved issues in these areas. METHODS We conducted a comprehensive literature search on MEDLINE/PubMed, EMBASE, Google Scholar, SpringerLink, Scops, Web of Science, and Bentham Science Publishers from inception to January 2024, following the PRISMA guidelines, to retrieve all studies relevant to the application of HU in assessing both bone and soft tissue quality of the proximal femur, particularly in the context of ONFH and THA. We systematically evaluated the key findings extracted from the included articles. RESULTS This systematic review included a total of 58 studies, involving 15,668 patients. The sample sizes ranged from 50 to 685, with the CT slice thickness varying from 0.5 mm to 10 mm. The results mainly focused on three areas: (1) the relationship between HU and the density of proximal femoral tissues (n = 33); (2) the assessment of HU in predicting the risk of femoral head collapse (n = 10); (3) the application of HU during the perioperative period of THA (n = 15). CONCLUSION (1) HU can effectively contribute to the evaluation of bone and soft tissue densities in the proximal femur, and reflect local stress changes. (2) In ONFH patients, bone density does not decrease in the necrotic area of the femoral head before collapse. However, abnormally elevated HU at the outer boundary of the necrotic lesion are significant in assessing collapse risk. (3) HU can be used to preoperatively assess hip bone quality for THA, guide surgical approaches, predict intraoperative fractures, monitor postoperative bone ingrowth or absorption, identify and quantitatively evaluate periprosthetic loosening, and guide postoperative rehabilitation.
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Affiliation(s)
- Tong-jie Yang
- Wangjing Hospital, China Academy of Chinese Medical Sciences, Chaoyang District, Beijing, China
| | - Peng-peng Wen
- First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Xin Ye
- The Third Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
- Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province, China
| | - Xiao-feng Wu
- The Third Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
- Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province, China
| | - Cheng Zhang
- Wangjing Hospital, China Academy of Chinese Medical Sciences, Chaoyang District, Beijing, China
| | - Shi-yi Sun
- Wangjing Hospital, China Academy of Chinese Medical Sciences, Chaoyang District, Beijing, China
| | - Zi-xuan Wu
- Wangjing Hospital, China Academy of Chinese Medical Sciences, Chaoyang District, Beijing, China
- Beijing University of Chinese Medicine, Chaoyang District, Beijing, China
| | - Guang-yi Zhang
- Wangjing Hospital, China Academy of Chinese Medical Sciences, Chaoyang District, Beijing, China
- Beijing University of Chinese Medicine, Chaoyang District, Beijing, China
| | - Yi-fei Sun
- Wangjing Hospital, China Academy of Chinese Medical Sciences, Chaoyang District, Beijing, China
- Beijing University of Chinese Medicine, Chaoyang District, Beijing, China
| | - Ren Ye
- First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Cheng-kun Zhou
- Wangjing Hospital, China Academy of Chinese Medical Sciences, Chaoyang District, Beijing, China
| | - Hai-jun He
- Wangjing Hospital, China Academy of Chinese Medical Sciences, Chaoyang District, Beijing, China
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Park PSU, Werner TJ, Alavi A. PET/CT for the Opportunistic Screening of Osteoporosis and Fractures in Cancer Patients. Curr Osteoporos Rep 2024; 22:553-560. [PMID: 39276167 DOI: 10.1007/s11914-024-00887-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/06/2024] [Indexed: 09/16/2024]
Abstract
PURPOSE OF REVIEW In this review, we outline the different etiologies of osteoporosis in the oncologic setting and describe the basis for using PET/CT as screening tool for osteoporosis with a focus on the radiotracers [18F]FDG and [18F]NaF. RECENT FINDINGS Osteoporosis is a condition commonly affecting cancer patients due to their age, cancer-specific treatment agents, and effects of cancer. In terms of the unifying mechanism, decreased ratio of osteoblast-bone formation to osteoclast-bone resorption is responsible for causing osteoporosis. PET/CT, a crucial metabolic imaging modality in the oncologic imaging, could be a useful tool for the opportunistic screening of osteoporosis. There are two approaches with which osteoporosis could be identified with PET/CT-using either the (1) CT- based or (2) PET- based approaches. While the CT-based approach has been used with [18F]FDG PET/CT, both CT- and PET-based approaches can be employed with [18F]NaF-PET/CT as [18F]NaF is a radiotracer specific for osteoblast activity.
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Affiliation(s)
- Peter Sang Uk Park
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.
- Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA.
| | - Thomas J Werner
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
- Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA
| | - Abass Alavi
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
- Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA
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Requist MR, Mills MK, Carroll KL, Lenz AL. Quantitative Skeletal Imaging and Image-Based Modeling in Pediatric Orthopaedics. Curr Osteoporos Rep 2024; 22:44-55. [PMID: 38243151 DOI: 10.1007/s11914-023-00845-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/19/2023] [Indexed: 01/21/2024]
Abstract
PURPOSE OF REVIEW Musculoskeletal imaging serves a critical role in clinical care and orthopaedic research. Image-based modeling is also gaining traction as a useful tool in understanding skeletal morphology and mechanics. However, there are fewer studies on advanced imaging and modeling in pediatric populations. The purpose of this review is to provide an overview of recent literature on skeletal imaging modalities and modeling techniques with a special emphasis on current and future uses in pediatric research and clinical care. RECENT FINDINGS While many principles of imaging and 3D modeling are relevant across the lifespan, there are special considerations for pediatric musculoskeletal imaging and fewer studies of 3D skeletal modeling in pediatric populations. Improved understanding of bone morphology and growth during childhood in healthy and pathologic patients may provide new insight into the pathophysiology of pediatric-onset skeletal diseases and the biomechanics of bone development. Clinical translation of 3D modeling tools developed in orthopaedic research is limited by the requirement for manual image segmentation and the resources needed for segmentation, modeling, and analysis. This paper highlights the current and future uses of common musculoskeletal imaging modalities and 3D modeling techniques in pediatric orthopaedic clinical care and research.
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Affiliation(s)
- Melissa R Requist
- Department of Orthopaedics, University of Utah, 590 Wakara Way, Salt Lake City, UT, 84108, USA
- Department of Biomedical Engineering, University of Utah, 36 S Wasatch Dr., Salt Lake City, UT, 84112, USA
| | - Megan K Mills
- Department of Radiology and Imaging Sciences, University of Utah, 30 N Mario Capecchi Dr. 2 South, Salt Lake City, UT, 84112, USA
| | - Kristen L Carroll
- Department of Orthopaedics, University of Utah, 590 Wakara Way, Salt Lake City, UT, 84108, USA
- Shriners Hospital for Children, 1275 E Fairfax Rd, Salt Lake City, UT, 84103, USA
| | - Amy L Lenz
- Department of Orthopaedics, University of Utah, 590 Wakara Way, Salt Lake City, UT, 84108, USA.
- Department of Biomedical Engineering, University of Utah, 36 S Wasatch Dr., Salt Lake City, UT, 84112, USA.
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Beekman KM, Duque G, Corsi A, Tencerova M, Bisschop PH, Paccou J. Osteoporosis and Bone Marrow Adipose Tissue. Curr Osteoporos Rep 2023; 21:45-55. [PMID: 36534306 DOI: 10.1007/s11914-022-00768-1] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/17/2022] [Indexed: 12/23/2022]
Abstract
PURPOSE OF REVIEW This review focuses on the recent findings regarding bone marrow adipose tissue (BMAT) concerning bone health. We summarize the variations in BMAT in relation to age, sex, and skeletal sites, and provide an update on noninvasive imaging techniques to quantify human BMAT. Next, we discuss the role of BMAT in patients with osteoporosis and interventions that affect BMAT. RECENT FINDINGS There are wide individual variations with region-specific fluctuation and age- and gender-specific differences in BMAT content and composition. The Bone Marrow Adiposity Society (BMAS) recommendations aim to standardize imaging protocols to increase comparability across studies and sites. Water-fat imaging (WFI) seems an accurate and efficient alternative for spectroscopy (1H-MRS). Most studies indicate that greater BMAT is associated with lower bone mineral density (BMD) and a higher prevalence of vertebral fractures. The proton density fat fraction (PDFF) and changes in lipid composition have been associated with an increased risk of fractures independently of BMD. Therefore, PDFF and lipid composition could potentially be future imaging biomarkers for assessing fracture risk. Evidence of the inhibitory effect of osteoporosis treatments on BMAT is still limited to a few randomized controlled trials. Moreover, results from the FRAME biopsy sub-study highlight contradictory findings on the effect of the sclerostin antibody romosozumab on BMAT. Further understanding of the role(s) of BMAT will provide insight into the pathogenesis of osteoporosis and may lead to targeted preventive and therapeutic strategies.
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Affiliation(s)
- Kerensa M Beekman
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Gustavo Duque
- Department of Medicine and Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
| | - Alessandro Corsi
- Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy
| | - Michaela Tencerova
- Molecular Physiology of Bone, Institute of Physiology of the Czech Academy of Sciences, Prague, Czech Republic
| | - Peter H Bisschop
- Department of Endocrinology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Julien Paccou
- Department of Rheumatology, MABLaB ULR 4490, CHU Lille, University Lille, Lille, France.
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Liu Z, Zhang Y, Liu Z, Kong J, Huang D, Zhang X, Jiang Y. Dual-Energy Computed Tomography Virtual Noncalcium Technique in Diagnosing Osteoporosis: Correlation With Quantitative Computed Tomography. J Comput Assist Tomogr 2021; 45:452-457. [PMID: 34297514 PMCID: PMC8132909 DOI: 10.1097/rct.0000000000001168] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Accepted: 02/13/2021] [Indexed: 11/25/2022]
Abstract
OBJECTIVE The aim of this study was to evaluate dual-energy computed tomography (CT) virtual noncalcium (VNCa) technique as a means of quantifying osteoporosis. METHODS Dual-energy CT scans were obtained prospectively, targeting lumbar regions of 55 patients with chronic low back pain. A standard quantitative CT (QCT) phantom was positioned at the waist during each procedure, using proprietary software (QCT Pro; Mindways, Tex) to measure bone mineral density (BMD) in each vertebral body. Vendor dual-energy analytic software was altered with a specially modified configuration file to produce a "Virtual Non Calcium" or "VNCa" output, as such output variables were remapped to produce the following calcium values rather than iodine, yielding the following QCT parameters: CT value of calcium (originally "contrast media" [CM]), CT value of mixed energy imaging (regular CT value [rCT]), calcium density (originally "contrast agent density" [CaD]), and fat fraction (FF). Pearson test served to assess correlations between BMD and these parameters. Multiple linear regression analysis was applied to construct an equation for generating regressive BMD (rBMD) values. In gauging diagnostic accuracies, the criterion-standard BMD cutoff point (<80 mg/cm3) was adopted for QCT, whereas the rBMD threshold was defined by receiver operating characteristic curve. RESULTS Contrast media, rCT, CaD, and FF values (reflecting CT value of calcium, regular CT value, calcium density, and fat fraction, respectively) significantly correlated with BMD (r values: 0.885, 0.947, 0.877, and 0.492, respectively; all P < 0.01). Contrast media, CaD, and FF showed independent associations with BMD; the regressive equation was formulated as follows: rBMD = 54.82 - 0.19 × CM + 20.03 × CaD - 1.24 × FF. The area under the curve of rBMD in diagnosing osteoporosis was 0.966 ± 0.009 (P < 0.01). At an rBMD threshold of less than 81.94 mg/cm3, sensitivity and specificity were 90.0% and 92.0%, respectively. CONCLUSIONS Dual-energy CT VNCa technique may constitute a valid alternative method for quantifying the mineral content and marrow fat composition of bone in diagnostic assessments of osteoporosis.
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Affiliation(s)
- Zhenghua Liu
- From the Department of Radiology, Xi'an Jiaotong University Affiliated Honghui Hospital
| | - Yuting Zhang
- From the Department of Radiology, Xi'an Jiaotong University Affiliated Honghui Hospital
| | - Zhou Liu
- Department of Radiology, Xi'an International Medical Center Hospital
| | - Jiangtao Kong
- From the Department of Radiology, Xi'an Jiaotong University Affiliated Honghui Hospital
| | - Dageng Huang
- Department of Spinal Surgery, Xi'an Jiaotong University Affiliated Honghui Hospital
| | | | - Yonghong Jiang
- From the Department of Radiology, Xi'an Jiaotong University Affiliated Honghui Hospital
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