Improvements in radiographic and clinical assessment of distal radius fracture healing by FE-estimated bone stiffness

High-resolution peripheral quantitative computed tomography: research or clinical practice?

High-resolution peripheral quantitative CT (HR-pQCT) is a low-dose three-dimensional imaging technique, originally developed for in vivo assessment of bone microarchitecture at the distal radius and tibia in osteoporosis. HR-pQCT has the ability to discriminate trabecular and cortical bone compartments, providing densitometric and structural parameters. At present, HR-pQCT is mostly used in research settings, despite evidence showing that it may be a valuable tool in osteoporosis and other diseases. This review summarizes the main applications of HR-pQCT and addresses the limitations that currently prevent its integration into routine clinical practice. In particular, the focus is on the use of HR-pQCT in primary and secondary osteoporosis, chronic kidney disease (CKD), endocrine disorders affecting bone, and rare diseases. A section on novel potential applications of HR-pQCT is also present, including assessment of rheumatic diseases, knee osteoarthritis, distal radius/scaphoid fractures, vascular calcifications, effect of medications, and skeletal muscle. The reviewed literature seems to suggest that a more widespread implementation of HR-pQCT in clinical practice would offer notable opportunities. For instance, HR-pQCT can improve the prediction of incident fractures beyond areal bone mineral density provided by dual-energy X-ray absorptiometry. In addition, HR-pQCT may be used for the monitoring of anti-osteoporotic therapy or for the assessment of mineral and bone disorder associated with CKD. Nevertheless, several obstacles currently prevent a broader use of HR-pQCT and would need to be targeted, such as the small number of installed machines worldwide, the uncertain cost-effectiveness, the need for improved reproducibility, and the limited availability of reference normative data sets.

Assessment of the healing of conservatively-treated scaphoid fractures using HR-pQCT

Improving the clinical outcome of scaphoid fractures may benefit from adequate monitoring of their healing in order to for example identify complications such as scaphoid nonunion at an early stage and to adjust the treatment strategy accordingly. However, quantitative assessment of the healing process is limited with current imaging modalities. In this study, high-resolution peripheral quantitative computed tomography (HR-pQCT) was used for the first time to assess the changes in bone density, microarchitecture, and strength during the healing of conservatively-treated scaphoid fractures. Thirteen patients with a scaphoid fracture (all confirmed on HR-pQCT and eleven on CT) received an HR-pQCT scan at baseline and three, six, twelve, and 26 weeks after first presentation at the emergency department. Bone mineral density (BMD) and trabecular microarchitecture of the scaphoid bone were quantified, and failure load (FL) was estimated using micro-finite element analysis. Longitudinal changes were evaluated with linear mixed-effects models. Data of two patients were excluded due to surgical intervention after the twelve-week follow-up visit. In the eleven fully evaluable patients, the fracture line became more apparent at 3 weeks. At 6 weeks, individual trabeculae at the fracture region became more difficult to identify and distinguish from neighboring trabeculae, and this phenomenon concerned a larger region around the fracture line at 12 weeks. Quantitative assessment showed that BMD and FL were significantly lower than baseline at all follow-up visits with the largest change from baseline at 6 weeks (-13.6% and - 23.7%, respectively). BMD remained unchanged thereafter, while FL increased. Trabecular thickness decreased significantly from baseline at three (-3.9%), six (-6.7%), and twelve (-4.4%) weeks and trabecular number at six (-4.5%), twelve (-7.3%), and 26 (-7.9%) weeks. Trabecular separation was significantly higher than baseline at six (+13.3%), twelve (+19.7%), and 26 (+16.3%) weeks. To conclude, this explorative HR-pQCT study showed a substantial decrease in scaphoid BMD, Tb.Th, and FL during the first 6 weeks of healing of conservatively-treated scaphoid fractures, followed by stabilization or increase in these parameters. At 26 weeks, BMD, trabecular microarchitecture, and FL were not returned to baseline values.

Bone Mechanoregulation Allows Subject-Specific Load Estimation Based on Time-Lapsed Micro-CT and HR-pQCT in Vivo

Patients at high risk of fracture due to metabolic diseases frequently undergo long-term antiresorptive therapy. However, in some patients, treatment is unsuccessful in preventing fractures or causes severe adverse health outcomes. Understanding load-driven bone remodelling, i.e., mechanoregulation, is critical to understand which patients are at risk for progressive bone degeneration and may enable better patient selection or adaptive therapeutic intervention strategies. Bone microarchitecture assessment using high-resolution peripheral quantitative computed tomography (HR-pQCT) combined with computed mechanical loads has successfully been used to investigate bone mechanoregulation at the trabecular level. To obtain the required mechanical loads that induce local variances in mechanical strain and cause bone remodelling, estimation of physiological loading is essential. Current models homogenise strain patterns throughout the bone to estimate load distribution in vivo, assuming that the bone structure is in biomechanical homoeostasis. Yet, this assumption may be flawed for investigating alterations in bone mechanoregulation. By further utilising available spatiotemporal information of time-lapsed bone imaging studies, we developed a mechanoregulation-based load estimation (MR) algorithm. MR calculates organ-scale loads by scaling and superimposing a set of predefined independent unit loads to optimise measured bone formation in high-, quiescence in medium-, and resorption in low-strain regions. We benchmarked our algorithm against a previously published load history (LH) algorithm using synthetic data, micro-CT images of murine vertebrae under defined experimental in vivo loadings, and HR-pQCT images from seven patients. Our algorithm consistently outperformed LH in all three datasets. In silico-generated time evolutions of distal radius geometries (n = 5) indicated significantly higher sensitivity, specificity, and accuracy for MR than LH (p < 0.01). This increased performance led to substantially better discrimination between physiological and extra-physiological loading in mice (n = 8). Moreover, a significantly (p < 0.01) higher association between remodelling events and computed local mechanical signals was found using MR [correct classification rate (CCR) = 0.42] than LH (CCR = 0.38) to estimate human distal radius loading. Future applications of MR may enable clinicians to link subtle changes in bone strength to changes in day-to-day loading, identifying weak spots in the bone microstructure for local intervention and personalised treatment approaches.