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Zhang J, Luo X, Zhou R, Guo C, Xu K, Qu G, Zou L, Yao W, Lin S, Zhang Z. The Suitable Population for Opportunistic Low Bone Mineral Density Screening Using Computed Tomography. Clin Interv Aging 2024; 19:807-815. [PMID: 38751857 PMCID: PMC11095516 DOI: 10.2147/cia.s461018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 05/03/2024] [Indexed: 05/18/2024] Open
Abstract
Objective To explore the suitable population of CT value for predicting low bone mineral density (low-BMD). Methods A total of 1268 patients who underwent chest CT examination and DXA within one-month period retrospectively analyzed. The CT attenuation values of trabecular bone were measured in mid-sagittal plane from thoracic vertebra 7 (T7). Receiver operating characteristic (ROC) curves were used to evaluate the ability to diagnose low-BMD. Results The AUC for diagnosing low BMD was larger in women than in men (0.894 vs 0.744, p < 0.05). The AUC increased gradually with the increase of age but decreased gradually with the increase in height and weight (p < 0.05). In females, when specificity was adjusted to approximately 90%, a threshold of 140.25 HU has a sensitivity of 69.3%, which is higher than the sensitivity of 36.5% in males for distinguishing low-BMD from normal. At the age of 70 or more, when specificity was adjusted to approximately 90%, a threshold of 126.31 HU has a sensitivity of 76.1%, which was higher than that of other age groups. Conclusion For patients who had completed chest CTs, the CT values were more effective in predicting low-BMD in female, elderly, lower height, and lower weight patients.
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Affiliation(s)
- Jiongfeng Zhang
- Department of Orthopedics, the 3rd Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330008, People’s Republic of China
| | - Xiaohui Luo
- Department of Orthopedics, the 3rd Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330008, People’s Republic of China
| | - Ruiling Zhou
- Department of Dermatology, Jiangxi Provincial Dermatology Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330008, People’s Republic of China
| | - Chong Guo
- Department of Orthopedics, the 3rd Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330008, People’s Republic of China
| | - Kai Xu
- Department of Orthopedics, the 3rd Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330008, People’s Republic of China
| | - Gaoyang Qu
- Department of Orthopedics, the 3rd Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330008, People’s Republic of China
| | - Le Zou
- Department of Orthopedics, the 3rd Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330008, People’s Republic of China
| | - Wenye Yao
- Department of Orthopedics, the 3rd Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330008, People’s Republic of China
| | - Shifan Lin
- Department of Orthopedics, the 3rd Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330008, People’s Republic of China
| | - Zhiping Zhang
- Department of Orthopedics, the 3rd Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330008, People’s Republic of China
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Kogan F, Yoon D, Teeter MG, Chaudhari AJ, Hales L, Barbieri M, Gold GE, Vainberg Y, Goyal A, Watkins L. Multimodal positron emission tomography (PET) imaging in non-oncologic musculoskeletal radiology. Skeletal Radiol 2024:10.1007/s00256-024-04640-4. [PMID: 38492029 DOI: 10.1007/s00256-024-04640-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 02/27/2024] [Accepted: 02/28/2024] [Indexed: 03/18/2024]
Abstract
Musculoskeletal (MSK) disorders are associated with large impacts on patient's pain and quality of life. Conventional morphological imaging of tissue structure is limited in its ability to detect pain generators, early MSK disease, and rapidly assess treatment efficacy. Positron emission tomography (PET), which offers unique capabilities to evaluate molecular and metabolic processes, can provide novel information about early pathophysiologic changes that occur before structural or even microstructural changes can be detected. This sensitivity not only makes it a powerful tool for detection and characterization of disease, but also a tool able to rapidly assess the efficacy of therapies. These benefits have garnered more attention to PET imaging of MSK disorders in recent years. In this narrative review, we discuss several applications of multimodal PET imaging in non-oncologic MSK diseases including arthritis, osteoporosis, and sources of pain and inflammation. We also describe technical considerations and recent advancements in technology and radiotracers as well as areas of emerging interest for future applications of multimodal PET imaging of MSK conditions. Overall, we present evidence that the incorporation of PET through multimodal imaging offers an exciting addition to the field of MSK radiology and will likely prove valuable in the transition to an era of precision medicine.
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Affiliation(s)
- Feliks Kogan
- Department of Radiology, Stanford University, Stanford, CA, USA.
| | - Daehyun Yoon
- Department of Radiology, University of California-San Francisco, San Francisco, CA, USA
| | - Matthew G Teeter
- Department of Medical Biophysics, Western University, London, ON, Canada
| | | | - Laurel Hales
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Marco Barbieri
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Garry E Gold
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Yael Vainberg
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Ananya Goyal
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Lauren Watkins
- Department of Radiology, Stanford University, Stanford, CA, USA
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