Trabecular bone mineral density correlations using QCT: Central and peripheral human skeleton

Chirvi, Sajal; Pintar, Frank A.; Yoganandan, Narayan; Stemper, Brian D.; Kleinberger, Michael

doi:10.1016/j.jmbbm.2020.104076

Cited by 4 publications

(2 citation statements)

References 55 publications

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“…Mindways QCT is a classical QCT system, and has been widely applied in clinic to evaluate osteoporosis. Mindways QCT could be used in the detection of osteoporosis at the hip, vertebrae body, and peripheral skeleton [29]. Several previously published studies applied Mindways QCT as control to evaluate the efficacy of different brands of QCT or ways for the osteoporosis assessment [9,15,[23][24][25].…”

Section: Discussionmentioning

confidence: 99%

Performance of iCare quantitative computed tomography in bone mineral density assessment of the hip and vertebral bodies in European spine phantom

Liu,

Zhu,

et al. 2023

J Orthop Surg Res

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Background Osteoporosis is a systemic bone disease which can increase the risk of osteoporotic fractures. Dual-energy X-ray absorptiometry (DXA) is considered as the clinical standard for diagnosing osteoporosis by detecting the bone mineral density (BMD) in patients, but it has flaws in distinguishing between calcification and other degenerative diseases, thus leading to inaccurate BMD levels in subjects. Mindways quantitative computed tomography (Mindways QCT) is a classical QCT system. Similar to DXA, Mindways QCT can directly present the density of trabecular bone, vascular or tissue calcification; therefore, it is more accurate and sensitive than DXA and has been widely applied in clinic to evaluate osteoporosis. iCare QCT osteodensitometry was a new phantom-based QCT system, recently developed by iCare Inc. (China). It has been gradually applied in clinic by its superiority of taking 3-dimensional BMD of bone and converting BMD values to T value automatically. This study aimed at evaluating the osteoporosis detection rate of iCare QCT, compared with synchronous Mindways QCT (USA). Methods In this study, 131 patients who underwent hip phantom-based CT scan were included. Bone mineral density (BMD) of the unified region of interests (ROI) defined at the European spine phantom (ESP, German QRM) including L1 (low), L2 (medium), and L3 (high) vertebral bodies was detected for QCT quality control and horizontal calibration. Every ESP scan were taken for 10 times, and the mean BMD values measured by iCare QCT and Mindways QCT were compared. Hip CT scan was conducted with ESP as calibration individually. T-scores gained from iCare QCT and Mindways QCT were analyzed with Pearson correlation test. The detection rates of osteoporosis were compared between iCare QCT and Mindways QCT. The unified region of interests (ROI) was delineated in the QCT software. Results The results showed that there was no significant difference between iCare QCT and Mindways QCT in the evaluation of L1, L2, and L3 vertebrae bodies in ESP. A strong correlation between iCare QCT and Mindways QCT in the assessment of hip T-score was found. It was illustrated that iCare QCT had a higher detection rate of osteoporosis with the assessment of hip T-score than Mindways QCT did. In patients < 50 years subgroup, the detection rate of osteoporosis with iCare QCT and Mindways QCT was equal. In patients ≥ 50 years subgroup, the detection rate of osteoporosis with iCare QCT (35/92, 38.0%) was higher than that with Mindways QCT. In female subgroup, the detection rate of osteoporosis with iCare QCT was significantly higher than Mindways QCT. In male subgroup, the detection rate of osteoporosis with iCare QCT was also markedly higher than Mindways QCT. The detection rate of osteoporosis by iCare QCT was higher than Mindways QCT with hip bone assessment. Of course, the results of the present study remain to be further verified by multicenter studies in the future.

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Section: Discussionmentioning

confidence: 99%

Performance of iCare quantitative computed tomography in bone mineral density assessment of the hip and vertebral bodies in European spine phantom

Liu,

Zhu,

et al. 2023

J Orthop Surg Res

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“…Additionally, it is constrained by its planar technique (two-dimensional measurement) for assessing and quantifying BMD and predicting fracture risk [34,35]. Moreover, DEXA measurements are sensitive to degenerative changes, leading to the potential overestimation of BMD [36][37][38], and the presence of overlying structures (such as atherosclerosis [39]) or morphological abnormalities (post-laminectomy, metallic implants, etc. [40][41][42]) may also impact BMD measurements.…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence Applications for Osteoporosis Classification Using Computed Tomography

Ong,

Liu,

Makmur

et al. 2023

Bioengineering

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Osteoporosis, marked by low bone mineral density (BMD) and a high fracture risk, is a major health issue. Recent progress in medical imaging, especially CT scans, offers new ways of diagnosing and assessing osteoporosis. This review examines the use of AI analysis of CT scans to stratify BMD and diagnose osteoporosis. By summarizing the relevant studies, we aimed to assess the effectiveness, constraints, and potential impact of AI-based osteoporosis classification (severity) via CT. A systematic search of electronic databases (PubMed, MEDLINE, Web of Science, ClinicalTrials.gov) was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A total of 39 articles were retrieved from the databases, and the key findings were compiled and summarized, including the regions analyzed, the type of CT imaging, and their efficacy in predicting BMD compared with conventional DXA studies. Important considerations and limitations are also discussed. The overall reported accuracy, sensitivity, and specificity of AI in classifying osteoporosis using CT images ranged from 61.8% to 99.4%, 41.0% to 100.0%, and 31.0% to 100.0% respectively, with areas under the curve (AUCs) ranging from 0.582 to 0.994. While additional research is necessary to validate the clinical efficacy and reproducibility of these AI tools before incorporating them into routine clinical practice, these studies demonstrate the promising potential of using CT to opportunistically predict and classify osteoporosis without the need for DEXA.

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Calcaneus fracture pattern and severity: Role of local trabecular bone density

Chirvi

Pahapill²,

Yoganandan³

et al. 2022

Journal of the Mechanical Behavior of Biomedical Materials

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Trabecular bone mineral density correlations using QCT: Central and peripheral human skeleton

Cited by 4 publications

References 55 publications

Performance of iCare quantitative computed tomography in bone mineral density assessment of the hip and vertebral bodies in European spine phantom

Performance of iCare quantitative computed tomography in bone mineral density assessment of the hip and vertebral bodies in European spine phantom

Artificial Intelligence Applications for Osteoporosis Classification Using Computed Tomography

Calcaneus fracture pattern and severity: Role of local trabecular bone density

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