ArticleJournal of orthopaedic translation2022
Automatic phantom-less QCT system with high precision of BMD measurement for osteoporosis screening: Technique optimisation and clinical validation.
Article in Journal of orthopaedic translation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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29 citing papers in PubMed, 44 citations in OpenAlex.
- Beyond Bone Density Alone: Opportunistic Identification of Vertebral Compression Fractures in Breast Cancer Survivors Using Artificial Intelligence-Derived Vertebral Bone Density and Paraspinal Muscle-Fat Metrics.Journal of clinical medicine · 2026Article
- Comparisons of phantom-based and phantomless QCT bone mineral density for predicting subsequent fractures.Bone & joint research · 2026Article
- Osteoporosis: current diagnostic possibilities, a literature review.Przeglad menopauzalny = Menopause review · 2026Review
- Article
- A novel computed tomography-based algorithm for the quantitative identification of lumbar spine-localized trabecular bone loss in patients with type 2 diabetes mellitus.Quantitative imaging in medicine and surgery · 2026Article
- Adjacent Vertebral BMD Decline After Lateral Lumbar Interbody Fusion.Orthopaedic surgery · 2025Article
- Quantitative computed tomography provides improved accuracy for diagnosis of lumbar osteoporosis in patients with facet joint osteoarthritis: a cross-sectional study.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2025Article
- MRI based paraspinal muscle mass predicts early cage subsidence after posterior lumbar interbody fusion.Scientific reports · 2025Article
- Application of virtual monochromatic images in bone mineral density measurements: a phantom study.Scientific reports · 2025Article
- Using Phantomless QCT for evaluating BMD evolution in maintenance hemodialysis patients.Scientific reports · 2025Article
- Changes in Periprosthetic Bone Mineral Density Following Arthroplasty: An In-Depth Review and Current Perspectives.Current osteoporosis reports · 2025Review
- Assessing vertebral bone density changes with phantomless QCT after posterior open reduction and internal fixation.Scientific reports · 2025Article
- Criteria for osteoporosis diagnosis: a systematic review and meta-analysis of osteoporosis diagnostic studies with DXA and QCT.EClinicalMedicine · 2025Article
- The Degree of Cervical Intervertebral Disc Degeneration Is Associated With Denser Bone Quality of the Cervical Sub-endplate and Vertebral Body.Orthopaedic surgery · 2025Article
- Biomechanical comparison of suspensory traction and axial traction in preoperative correction of cervical kyphosis: a finite element study.Frontiers in bioengineering and biotechnology · 2025Article
- Comparative analysis of MRI-based VBQ and EBQ score for predicting cage subsidence in PILF surgery.Journal of orthopaedic surgery and research · 2024Article
- The influence of proliferative tissue on Hounsfield unit and its correlation with BMD in middle-aged and elderly patients with lumbar degenerative diseases.Journal of orthopaedic surgery and research · 2024Article
- Article
- Finite element analysis of a new preoperative traction for cervical kyphosis: suspensory traction.Medical & biological engineering & computing · 2024Article
- Semi-automatic proximal humeral trabecular bone density assessment tool: technique application and clinical validation.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2024Article
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Authors and funding
12 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCurrently dual-energy X-ray absorptiometry (DXA) and phantom-based quantitative computed tomography (PB-QCT) have been utilized to diagnose osteoporosis widely in clinical practice. While traditional phantom-less QCT (PL-QCT) is limited by the precision of manual calibration using body tissues, such as fat and muscle.
objectiveThe aim of this study is to validate the accuracy and precision of one newly-developed automatic PL-QCT system to measure spinal bone mineral density (BMD) and diagnose osteoporosis.
methodsA total of 36 patients were enrolled for comparison of BMD measurement between DXA and QCT. CT images of 63 patients were analyzed by both PB-QCT and newly developed automatic PL-QCT system, then the BMD results generated by the automatic PL-QCT were utilized to diagnose osteoporosis. The diagnostic outcomes were compared with that of DXA and PB-QCT to assess the performance of the new system.
resultsBMD test results showed that the automatic PL-QCT system had higher precision than previous studies performed with QCT, while maintaining similar capability to diagnose osteoporosis as DXA and PB-QCT. Area under curve (AUC) result of PL-QCT was larger than 0.8 for predicting spine DXA T-score in receiver operating characteristic (ROC) analysis. Pearson correlation analysis (r = 0.99) showed strong linear correlation and Bland-Altman analysis (bias = 3.0mg/cc) indicated little difference between the two methods. The precision result (CV = 0.89%) represented good reproducibility of the new system.
conclusionThe traditional PL-QCT system has relatively low reproducibility due to the manual selection of the region of interest (ROI) of body tissues. Automatic selection of ROI in this new system makes the BMD testing more convenient and improves precision significantly. Compared with traditional BMD measurement methods, the automatic PL-QCT system had higher precision in accurate diagnosis of osteoporosis with great potential in translational research and wide clinical application. TRANSLATIONAL POTENTIAL STATEMENT: With high accuracy and precision, the automatic PL-QCT system could serve as an opportunistic screening tool for osteoporosis patients in the future. It could also facilitate related researches by providing more reliable data collection, both retrospectively and longitudinally.
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