Recognition of vertebral fracture in a clinical setting

Silent Vertebral Fractures in Elderly Patients: A High Incidence Regardless of Gender and Widespread Vitamin D Deficiency-A Pilot Study in Patients Who Have Suffered a Fracture Elsewhere in the Body

Background: The present study aims to investigate the influence of systematic radiological screening for silent vertebral fractures (VFs) on osteoporosis diagnosis, treatment decisions, and long-term clinical outcomes compared to standard care without routine screening in elderly patients hospitalised primarily for fractures requiring surgical treatment at sites other than the spine. Material/Methods: In a level 1 trauma centre, patients with fractures requiring surgical treatment after low-energy trauma were prospectively examined over a period of 12 months. Using radiographs of the thoracic and lumbar spine in two planes, previously unknown VFs were identified and categorised according to the classification for osteoporotic fractures (OFs) of the thoracolumbar spine. Results: A total of 106 patients with a mean age of 79.4 years participated in this study, and 112 previously unknown vertebral compression fractures were diagnosed in 57% (60/106) of the patients. In this group, lumbar vertebra 2 was the most frequently affected, and the majority of these VFs were classified as OF 2, which corresponds to an isolated endplate fracture with minimal involvement of the posterior wall. Furthermore, 26% (28/106) of the patients in the evaluation showed VFs at multiple levels. This study revealed no statistically significant difference in the prevalence of silent VFs between male and female patients (p = 0.055). Additionally, the analysis revealed that nearly 75% of patients exhibited vitamin D insufficiency. Conclusions: The high prevalence of silent VFs in elderly patients emphasises the necessity for systematic radiological investigations, irrespective of gender.

Automatic AI tool for opportunistic screening of vertebral compression fractures on chest frontal radiographs: A multicenter study

Vertebral compression fractures (VCFs) are the most common type of osteoporotic fractures, yet they are often clinically silent and undiagnosed. Chest frontal radiographs (CFRs) are frequently used in clinical practice and a portion of VCFs can be detected through this technology. This study aimed to develop an automatic artificial intelligence (AI) tool using deep learning (DL) model for the opportunistic screening of VCFs from CFRs. The datasets were collected from four medical centers, comprising 19,145 vertebrae (T6-T12) from 2735 patients. Patients from Center 1, 2 and 3 were divided into the training and internal testing datasets in an 8:2 ratio (n = 2361, with 16,527 vertebrae). Patients from Center 4 were used as the external test dataset (n = 374, with 2618 vertebrae). Model performance was assessed using sensitivity, specificity, accuracy and the area under the curve (AUC). A reader study with five clinicians of different experience levels was conducted with and without AI assistance. In the internal testing dataset, the model achieved a sensitivity of 83.0 % and an AUC of 0.930 at the fracture level. In the external testing dataset, the model demonstrated a sensitivity of 78.4 % and an AUC of 0.942 at the fracture level. The model's sensitivity outperformed that of five clinicians with different levels of experience. Notably, AI assistance significantly improved sensitivity at the patient level for both junior clinicians (from 56.1 % without AI to 81.6 % with AI) and senior clinicians (from 65.0 % to 85.6 %). In conclusion, the automatic AI tool significantly increases clinicians' sensitivity in diagnosing fractures on CFRs, showing great potential for the opportunistic screening of VCFs.

Detection and Localization of Spine Disorders from Plain Radiography

Spine disorders can cause severe functional limitations, including back pain, decreased pulmonary function, and increased mortality risk. Plain radiography is the first-line imaging modality to diagnose suspected spine disorders. Nevertheless, radiographical appearance is not always sufficient due to highly variable patient and imaging parameters, which can lead to misdiagnosis or delayed diagnosis. Employing an accurate automated detection model can alleviate the workload of clinical experts, thereby reducing human errors, facilitating earlier detection, and improving diagnostic accuracy. To this end, deep learning-based computer-aided diagnosis (CAD) tools have significantly outperformed the accuracy of traditional CAD software. Motivated by these observations, we proposed a deep learning-based approach for end-to-end detection and localization of spine disorders from plain radiographs. In doing so, we took the first steps in employing state-of-the-art transformer networks to differentiate images of multiple spine disorders from healthy counterparts and localize the identified disorders, focusing on vertebral compression fractures (VCF) and spondylolisthesis due to their high prevalence and potential severity. The VCF dataset comprised 337 images, with VCFs collected from 138 subjects and 624 normal images collected from 337 subjects. The spondylolisthesis dataset comprised 413 images, with spondylolisthesis collected from 336 subjects and 782 normal images collected from 413 subjects. Transformer-based models exhibited 0.97 Area Under the Receiver Operating Characteristic Curve (AUC) in VCF detection and 0.95 AUC in spondylolisthesis detection. Further, transformers demonstrated significant performance improvements against existing end-to-end approaches by 4-14% AUC (p-values < 10-13) for VCF detection and by 14-20% AUC (p-values < 10-9) for spondylolisthesis detection.

Reduction of material groups for vertebral bone finite element simulation: cross comparison of grouping methods

In patient-specific biomechanical modeling, the process of image-to-mesh-material mapping is important, and various strategies have been explored for assigning the number of groups of unique material properties to the mesh. This study aims to cross-compare different grouping strategies to identify the minimum number of unique groups necessary for accurately calculating the fracture load of vertebral bones. We analyzed 12 vertebral specimens by experimentally determining the biomechanical fracture load and acquiring corresponding CT scans. After geometry extraction and meshing, we applied commonly used fixed-value strategies for reducing the number of unique groups, such as Modulus Gaping and Percentual Thresholding. Additionally, we introduced a patient-specific adaptive grouping method based on K-means clustering, which allowed us to maintain a consistent number of groups of unique material properties across the study. A total of 204 simulations were performed, achieving a potential 98% reduction in the number of individual material parameters while maintaining a strong correlation with experimental results when utilizing Percentual Thresholding or Adaptive Clustering, compared to Modulus Gaping. The findings demonstrate the feasibility of significantly reducing simulation complexity while maintaining the accuracy of patient-specific models that strongly correlate with experimental results. This reduction enables efficient processing of patient-specific biomechanical models derived from image data, offering potential benefits for clinicians, particularly in resource-constrained settings.

Challenges in Orthopedic Surgical Decision-Making for Multilevel Vertebrae Fractures

Vertebral fractures commonly occur in postmenopausal women due to decreased bone density, a condition known as osteoporosis. They can occur after minimal trauma or even during routine activities. Vertebral fractures occur predominantly in individuals with a high fall risk. This case report explores the clinical complexities surrounding a 65-year-old female patient with a history of multilevel vertebrae fractures compounded by a history of chronic smoking, osteoporosis, multiple falls, and evident signs of osteopenia on X-ray. These risk factors complicate the decision to perform surgery and highlight the importance of constantly weighing the benefits and possible risks. This paper aims to emphasize the gender-specific challenges healthcare providers encounter when assessing surgical risks in the context of postmenopausal females with significant comorbidities. It underlines the need for tailored and comprehensive care strategies to manage orthopedic conditions in high-risk female individuals, further aligning with one of the World Health Organization's concerns on addressing gender-specific health considerations.

Opportunistic Identification of Vertebral Compression Fractures on CT Scans of the Chest and Abdomen, Using an AI Algorithm, in a Real-Life Setting

This study evaluated the performance of a vertebral fracture detection algorithm (HealthVCF) in a real-life setting and assessed the impact on treatment and diagnostic workflow. HealthVCF was used to identify moderate and severe vertebral compression fractures (VCF) at a Danish hospital. Around 10,000 CT scans were processed by the HealthVCF and CT scans positive for VCF formed both the baseline and 6-months follow-up cohort. To determine performance of the algorithm 1000 CT scans were evaluated by specialized radiographers to determine performance of the algorithm. Sensitivity was 0.68 (CI 0.581-0.776) and specificity 0.91 (CI 0.89-0.928). At 6-months follow-up, 18% of the 538 patients in the retrospective cohort were dead, 78 patients had been referred for a DXA scan, while 25 patients had been diagnosed with osteoporosis. A higher mortality rate was seen in patients not known with osteoporosis at baseline compared to patients known with osteoporosis at baseline, 12.8% versus 22.6% (p = 0.003). Patients receiving bisphosphonates had a lower mortality rate (9.6%) compared to the rest of the population (20.9%) (p = 0.003). HealthVCF demonstrated a poorer performance than expected, and the tested version is not generalizable to the Danish population. Based on its specificity, the HealthVCF can be used as a tool to prioritize resources in opportunistic identification of VCF's. Implementing such a tool on its own only resulted in a small number of new diagnoses of osteoporosis and referrals to DXA scans during a 6-month follow-up period. To increase efficiency, the HealthVCF should be integrated with Fracture Liaison Services (FLS).

Corticosteroid Injections and Risk of Fracture

Importance

Corticosteroid injections (CSIs) are an important tool for pain relief in many musculoskeletal conditions, but the longitudinal effects of these treatments on bone health and fracture risk are unknown.

Objective

To determine whether cumulative doses of corticosteroid injections are associated with higher risk of subsequent osteoporotic and nonosteoporotic fractures.

Design, Setting, and Participants

This cohort study included adult patients receiving any CSI from May 1, 2018, through July 1, 2022. Eligible patients resided in Olmsted County, Minnesota, and were empaneled to receive primary care within the Mayo Clinic. Cox proportional hazards regression models were used to evaluate risk of fracture based on cumulative injected corticosteroid dose.

Exposure

Receipt of any CSI during the study period.

Main Outcomes and Measures

The primary outcome was risk of fracture by total triamcinolone equivalents received. Secondary outcomes consisted of risks of fracture based on triamcinolone equivalents received in subgroups of patients not at high risk for fracture and patients with osteoporosis.

Results

A total of 7197 patients were included in the study (mean [SD] age, 64.4 [14.6] years; 4435 [61.6%] women; 183 [2.5%] Black and 6667 [92.6%] White), and 346 (4.8%) had a new fracture during the study period. Of these fractures, 149 (43.1%) were considered osteoporotic. In the adjusted Cox proportional hazards regression model, there was no association of higher fracture risk based on cumulative CSI dose (adjusted hazard ratio [HR], 1.04 [95% CI, 0.96-1.11]). There was also no associated higher risk of fracture in the non-high-risk (adjusted HR, 1.11 [95% CI, 0.98-1.26]) or osteoporosis (adjusted HR, 1.01 [95% CI, 0.90-1.11]) subgroups. Age, Charleson Comorbidity Index, and previous fracture were the only factors that were associated with higher fracture risk.

Conclusions and Relevance

In this cohort study of cumulative injected corticosteroid dose and risk of subsequent fracture, no association was observed, including in patients with a preexisting diagnosis of osteoporosis. Treatment of painful conditions with CSI should not be withheld or delayed owing to concern about fracture risk.

Thoracic spine X-ray examination of patients with back pain using different breathing technique and exposure times - A diagnostic study

INTRODUCTION

The breathing and suspended inspiration techniques are often used interchangeably for spine X-ray examinations. However, these techniques are not always adequately supported by clinical evidence. This study aimed to determine the two techniques' diagnostic value and adverse image outcomes.

METHODS

A total of 400 participants were examined on a Siemens Ysio Max system and randomized into four examination groups: suspended inspiration or breathing techniques with exposure times of 1, 2, and 3.2 s, respectively. Two consultant radiologists conducted the evaluation of the X-ray images. If disagreement was present, the radiologists collaboratively reviewed the X-ray images until a consensus was reached.

RESULTS

The final 394 study population comprised 275 women and 119 men with a mean age of 64 years (range:18-96 years). The proportions of visually sharp reproduction of the endplates and trabecular structures did not differ significantly with regards to differences in exposure times between groups. The breathing technique groups had significantly higher proportions of blurring and motion artifacts (p < 0.001). However, adverse image outcomes (motions artifacts) were significantly lower in the 1-s exposure group.

CONCLUSIONS

The suspended inspiration and breathing techniques performed equally well regarding visually sharp reproduction. However, the suspended inspiration technique was superior to the breathing technique. regarding adverse image outcomes, although the latter could be improved by using a shorter exposure time.

IMPLICATIONS FOR PRACTICE

The suspended inspiration and breathing technique appeared to perform at equal diagnostic levels. The suspended inspiration technique should be preferred due to its reduced risk of adverse image outcomes. However, the risk could also be reduced using a short exposure time with the breathing technique.

Osteoporotic vertebral fractures localized in the lumbar area significantly impact sagittal alignment

Lumbar fractures and/or multiple fractures at the lumbar or thoracolumbar regions are risk factors for sagittal malalignment in patients older than 70 years old. Although patients with OVF show a huge capacity to compensate after the fractures, lumbar and TL lumbar fractures require closer monitoring.

PURPOSE

To assess the impact of osteoporotic vertebral fractures on the sagittal alignment of the elderly and identify risk factors for sagittal malalignment.

METHODS

We performed a retrospective study on a cohort of 249 patients older than 70 years old and diagnosed with osteoporosis who suffered chronic vertebral fractures. Demographic and radiological data were collected. Full-spine lateral X-rays were obtained to analyze the sagittal plane. Patients were classified according to the number and location of the fractures. Pearson's correlation coefficient was used to assess the relationships between the type of fractures and sagittal alignment.

RESULTS

A total of 673 chronic fractures were detected in 249 patients with a mean number of vertebral fractures per patient of 2.7 ± 1.9. Patients were divided into 9 subgroups according to the location and the number of fractures. Surprisingly, any of the aggregated parameters used to assess sagittal alignment exceeded the threshold defined for malalignment. In the second part of the analysis, 41 patients with sagittal malalignment were identified. In this subpopulation, an overrepresentation of patients with lumbar fractures (34% vs. 11%) and an under-representation of thoracic fractures (9% vs. 34%) were reported. We also observed that patients with 3 or more lumbar or thoracolumbar fractures had an increased risk of sagittal malalignment.

CONCLUSIONS

Lumbar fractures and/or multiple fractures at the lumbar or thoracolumbar regions are risk factors for sagittal malalignment in patients older than 70 years old. Although patients show a remarkable capacity to compensate, fractures at the lumbar and thoracolumbar regions need closer monitoring.

Advanced Sampling Technique in Radiology Free-Text Data for Efficiently Building Text Mining Models by Deep Learning in Vertebral Fracture

This study aims to establish advanced sampling methods in free-text data for efficiently building semantic text mining models using deep learning, such as identifying vertebral compression fracture (VCF) in radiology reports. We enrolled a total of 27,401 radiology free-text reports of X-ray examinations of the spine. The predictive effects were compared between text mining models built using supervised long short-term memory networks, independently derived by four sampling methods: vector sum minimization, vector sum maximization, stratified, and simple random sampling, using four fixed percentages. The drawn samples were applied to the training set, and the remaining samples were used to validate each group using different sampling methods and ratios. The predictive accuracy was measured using the area under the receiver operating characteristics (AUROC) to identify VCF. At the sampling ratios of 1/10, 1/20, 1/30, and 1/40, the highest AUROC was revealed in the sampling methods of vector sum minimization as confidence intervals of 0.981 (95%CIs: 0.980-0.983)/0.963 (95%CIs: 0.961-0.965)/0.907 (95%CIs: 0.904-0.911)/0.895 (95%CIs: 0.891-0.899), respectively. The lowest AUROC was demonstrated in the vector sum maximization. This study proposes an advanced sampling method, vector sum minimization, in free-text data that can be efficiently applied to build the text mining models by smartly drawing a small amount of critical representative samples.

Effect of spinal orthoses on osteoporotic elderly patients kyphosis, back muscles strength, balance and osteoporotic vertebral fractures: (A systematic review and meta-analysis)

In this review and meta-analysis, we aimed to investigate the effect of spine orthotics in osteoporotic patients. The relationship between osteoporosis, osteoporotic vertebral fractures (OVFs), and age-related hyperkyphosis has made this effect unclear. We believe that taking participants' conditions into consideration may help to alleviate this controversy. The electronic database includes Web of Science, PubMed, Cochrane Library, Medline, and ClinicalTrials.gov. For English language literature was searched up to March 2023, and 34 articles were included in the review and 15 article had sufficient quality for meta-analysis based on the methodology quality index. There was no significant effect found from using either rigid or soft orthoses alone during the acute phase of one level (OVFs). Both semi-rigid and weighted orthoses have shown a positive significant effect on thoracic kyphosis angle and back extensor muscle strength in osteoporotic or older hyperkyphotic patients. The results of this review indicate that using a soft or rigid orthosis alone does not have a superior effect in the acute phase of one-level (OVFs) compared to not using an orthosis. However, using a semi-rigid or weighted orthosis in osteoporotic or hyperkyphotic older adults with or without (OVFs) can benefit thoracic kyphosis angle, back muscle strength, and balance.

FR. DEXA and Imaging in Osteoporosis

Background

Reduced bone density and increased fragility are hallmarks of osteoporosis, making the disease a major public health concern. The disease necessitates early diagnosis and appropriate therapy depend on an accurate evaluation of bone health. Essential tools for assessing osteoporosis include dual-energy X-ray absorptiometry (DEXA) and other imaging modalities.

Methods

This chapter focuses on dual-energy X-ray absorptiometry (DEXA) and other imaging methods as essential tools for assessment of osteoporosis. The chapter also explores complementary imaging modalities that help overcome limitation of DEXA by providing insights into the microarchitecture and bone quality.

Results

T-scores, used to categorise bone health, are determined by DEXA by comparing bone mineral density to age-matched standards. Bone mineral density (BMD) is the most common indicator of bone health; nevertheless, DEXA may misclassify bone health owing to reasons other than BMD. These constraints may be overcome with the use of complementary imaging methods, which provide information on the microarchitecture and quality of bone. The evaluation of bone structure is aided by high-resolution peripheral quantitative computed tomography (HR-pQCT), which produces precise 3D images of the trabecular and cortical bone compartments. Independent of traditional methods of gauging fracture risk, quantitative ultrasonography (QUS) uses an analysis of the characteristics of sound waves to determine bone health. Diagnostic precision is improved by magnetic resonance imaging (MRI) due to its ability to view bone marrow and trabecular structure without the use of ionising radiation.

Discussion

New methods, such as the trabecular bone score (TBS), examine bone texture and provide more data on the likelihood of fracture than conventional DEXA. By modelling bone strength using imaging data, finite element analysis (FEA) provides a biomechanical viewpoint on breakage probability. These combined methods boost diagnostic accuracy and pave the way for individualised treatment plans. Imaging helps with therapy monitoring as well as diagnosis. By monitoring bone density and structure over time, therapy effectiveness or course corrections may be quickly identified. The availability of sophisticated imaging techniques and the standardisation of procedures provide obstacles not withstanding their advantages. Ongoing work is being done to solve these issues and standardise and disseminate these methods in a variety of contexts.

Conclusion

The evaluation of osteoporosis is significantly aided by DEXA and other imaging methods. While DEXA is still the gold standard for diagnosing osteoporosis, other imaging techniques may shed light on bone health in greater detail. These methods improve fracture risk prediction and treatment assessment by providing information on bone architecture, quality, and strength. Integration of several imaging modalities shows potential for bettering osteoporosis therapy and patient outcomes as the field develops.

Osteoporosis and dermatoporosis: a review on the role of vitamin D

Osteoporosis (OP) and Dermatoporosis (DP) are expressions of the aging process at the skin and bone levels, respectively. Both conditions are associated with increased morbidity for elderly people, and this requires necessary interventions. They share many common risk factors; among these, vitamin D (VD) deficiency appears to have a role. VD is involved in either disease with many mechanisms, among which immunomodulation. VD deficiency has been linked to OP because it inhibits the body's capacity to absorb calcium and maintain optimal bone health. Available evidence suggests that proper vitaminosis D also appears to be vital in preventing skin age-related issues. DP is often seen in elderly individuals, particularly those with long-term sun exposure and a history of chronic sun damage. VD deficiency can be linked to DP, since its involvement in collagen production, epidermal barrier function, inflammation regulation, wound healing, and sun protection. Aim of this review is to summarize the most updated existing evidence on the role of VD in the development of fragility syndromes such as DP and OP and the possible benefits of VD supplementation as a simple and harmful weapon against aging.

Mid-Thoracic Vertebral Compression Fracture after Mini-Trampoline Exercise: A Case Series of Seven Patients

Background and Objectives: Home-based training exercise gained popularity during the coronavirus disease 2019 pandemic era. Mini-trampoline exercise (MTE) is a home-based exercise that utilizes rebound force generated from the trampoline net and the motion of the joints of the lower extremities. It is known to be beneficial for improving postural balance, stability, muscle strength and coordination, bone strength, and overall health. However, we encountered several patients with mid-thoracic vertebral compression fractures (VCFs) following regular MTE, which was never reported previously, despite having no history of definite trauma. This study aims to report mid-thoracic VCFs after regular MTE and arouse public attention regarding this spinal injury and the necessity of appropriate prior instructions about the correct posture. Patients and Methods: All consecutive patients diagnosed with acute VCFs following regular MTE were included. We collected data on patient demographics, history of MTE, characteristics of symptoms, and radiological findings such as the location of fractures and anterior vertebral body compression percentage. Results: Seven patients (one man and six women) and ten fractures (T5 = 1, T6 = 3, T7 = 2, and T8 = 4) were identified. Symptoms started 2.57 ± 1.13 weeks after the beginning of regular MTE. All patients reported that they were never properly instructed on the correct posture. They also stated that they were exercising with a hunchback posture and insufficient joint motion of the lower extremities while holding the safety bar with both hands, which resulted in increased peak vertical force along the gravity z-axis in the mid-thoracic area and consequent mid-thoracic VCFs. Conclusions: Mid-thoracic VCFs can occur following regular MTE even without high-energy trauma in case of improper posture during exercise. Therefore, public attention on mid-thoracic VCFs following MTE and the appropriate prior instructions are imperative.

Development and validation of a predictive model for spinal fracture risk in osteoporosis patients

BACKGROUND

Spinal osteoporosis is a prevalent health condition characterized by the thinning of bone tissues in the spine, increasing the risk of fractures. Given its high incidence, especially among older populations, it is critical to have accurate and effective predictive models for fracture risk. Traditionally, clinicians have relied on a combination of factors such as demographics, clinical attributes, and radiological characteristics to predict fracture risk in these patients. However, these models often lack precision and fail to include all potential risk factors. There is a need for a more comprehensive, statistically robust prediction model that can better identify high-risk individuals for early intervention.

AIM

To construct and validate a model for forecasting fracture risk in patients with spinal osteoporosis.

METHODS

The medical records of 80 patients with spinal osteoporosis who were diagnosed and treated between 2019 and 2022 were retrospectively examined. The patients were selected according to strict criteria and categorized into two groups: those with fractures (n = 40) and those without fractures (n = 40). Demographics, clinical attributes, biochemical indicators, bone mineral density (BMD), and radiological characteristics were collected and compared. A logistic regression analysis was employed to create an osteoporotic fracture risk-prediction model. The area under the receiver operating characteristic curve (AUROC) was used to evaluate the model’s performance.

RESULTS

Factors significantly associated with fracture risk included age, sex, body mass index (BMI), smoking history, BMD, vertebral trabecular alterations, and prior vertebral fractures. The final risk-prediction model was developed using the formula: (logit [P] = -3.75 + 0.04 × age - 1.15 × sex + 0.02 × BMI + 0.83 × smoking history + 2.25 × BMD - 1.12 × vertebral trabecular alterations + 1.83 × previous vertebral fractures). The AUROC of the model was 0.93 (95%CI: 0.88-0.96, P < 0.001), indicating strong discriminatory capabilities.

CONCLUSION

The fracture risk-prediction model, utilizing accessible clinical, biochemical, and radiological information, offered a precise tool for the evaluation of fracture risk in patients with spinal osteoporosis. The model has potential in the identification of high-risk individuals for early intervention and the guidance of appropriate preventive actions to reduce the impact of osteoporosis-related fractures.

Development and validation of a predictive model for spinal fracture risk in osteoporosis patients

BACKGROUND

Spinal osteoporosis is a prevalent health condition characterized by the thinning of bone tissues in the spine, increasing the risk of fractures. Given its high incidence, especially among older populations, it is critical to have accurate and effective predictive models for fracture risk. Traditionally, clinicians have relied on a combination of factors such as demographics, clinical attributes, and radiological characteristics to predict fracture risk in these patients. However, these models often lack precision and fail to include all potential risk factors. There is a need for a more comprehensive, statistically robust prediction model that can better identify high-risk individuals for early intervention.

AIM

To construct and validate a model for forecasting fracture risk in patients with spinal osteoporosis.

METHODS

The medical records of 80 patients with spinal osteoporosis who were diagnosed and treated between 2019 and 2022 were retrospectively examined. The patients were selected according to strict criteria and categorized into two groups: Those with fractures (n = 40) and those without fractures (n = 40). Demographics, clinical attributes, biochemical indicators, bone mineral density (BMD), and radiological characteristics were collected and compared. A logistic regression analysis was employed to create an osteoporotic fracture risk-prediction model. The area under the receiver operating characteristic curve (AUROC) was used to evaluate the model's performance.

RESULTS

Factors significantly associated with fracture risk included age, sex, body mass index (BMI), smoking history, BMD, vertebral trabecular alterations, and prior vertebral fractures. The final risk-prediction model was developed using the formula: (logit [P] = -3.75 + 0.04 × age - 1.15 × sex + 0.02 × BMI + 0.83 × smoking history + 2.25 × BMD - 1.12 × vertebral trabecular alterations + 1.83 × previous vertebral fractures). The AUROC of the model was 0.93 (95%CI: 0.88-0.96, P < 0.001), indicating strong discriminatory capabilities.

CONCLUSION

The fracture risk-prediction model, utilizing accessible clinical, biochemical, and radiological information, offered a precise tool for the evaluation of fracture risk in patients with spinal osteoporosis. The model has potential in the identification of high-risk individuals for early intervention and the guidance of appropriate preventive actions to reduce the impact of osteoporosis-related fractures.

m2ABQ-a proposed refinement of the modified algorithm-based qualitative classification of osteoporotic vertebral fractures

Currently, there is no reproducible, widely accepted gold standard to classify osteoporotic vertebral body fractures (OVFs). The purpose of this study is to refine a method with clear rules to classify OVFs for machine learning purposes. The method was found to have moderate interobserver agreement that improved with training.

INTRODUCTION

The current methods to classify osteoporotic vertebral body fractures are considered ambiguous; there is no reproducible, accepted gold standard. The purpose of this study is to refine classification methodology by introducing clear, unambiguous rules and a refined flowchart to allow consistent classification of osteoporotic vertebral body fractures.

METHODS

We developed a set of rules and refinements that we called m2ABQ to classify vertebrae into five categories. A fracture-enriched database of thoracic and lumbar spine radiographs of patients 65 years of age and older was retrospectively obtained from clinical institutional radiology records using natural language processing. Five raters independently classified each vertebral body using the m2ABQ system. After each annotation round, consensus sessions that included all raters were held to discuss and finalize a consensus annotation for each vertebral body where individual raters' evaluations differed. This process led to further refinement and development of the rules.

RESULTS

Each annotation round showed increase in Fleiss kappa both for presence vs absence of fracture 0.62 (0.56-0.68) to 0.70 (0.65-0.75), as well as for the whole m2ABQ scale 0.29 (0.25-0.33) to 0.54 (0.51-0.58).

CONCLUSION

The m2ABQ system demonstrates moderate interobserver agreement and practical feasibility for classifying osteoporotic vertebral body fractures. Future studies to compare the method to existing studies are warranted, as well as further development of its use in machine learning purposes.

Demographic and economic trends in vertebral fracture surgeries throughout the United States

Background

Vertebral fractures, frequently resulting from high-impact trauma to the spine, are an increasingly relevant public health concern. Little is known about the long-term economic and demographic trends affecting patients undergoing surgery for such fractures. This study examines national economic and demographic trends in vertebral fracture surgery in the United States to improve value-based care and health care utilization.

Methods

The National Inpatient Sample (NIS) was queried for patients who underwent surgical treatment of a vertebral fracture (ICD-9-CM-3.53) (excluding kyphoplasty and vertebroplasty) between 1993 and 2015. Demographic data included patient age, sex, income, insurance type, hospital size, and location. Economic data including aggregate charge, aggregate cost, hospital cost, and hospital charge were analyzed.

Results

The number of vertebral fracture surgeries, excluding kyphoplasty and vertebroplasty, increased 461% from 3,331 in 1993 to 18,675 in 2014, while inpatient mortality increased from 1.9% to 2.5%.The mean age of patients undergoing vertebral fracture surgeries increased from 42 in 1993 to 53 in 2015. The aggregate cost of surgery increased from $189,164,625 in 2001 to $1,060,866,580 in 2014, a 461% increase.

Conclusions

The significant increase in vertebral fracture surgeries between 1993 and 2014 may reflect an increased rate of fractures, more surgeons electing to treat fractures surgically, or a combination of both. The increasing rate of vertebral fracture surgery, coupled with increasing hospital costs and mortality, signifies that the treatment of vertebral fractures remains a challenging issue in healthcare. Further research is necessary to determine the underlying cause of both the increase in surgeries and the increasing mortality rate.

Incidence of fractures in people with intellectual disabilities over the life course: a retrospective matched cohort study

BACKGROUND

Current osteoporosis guidelines do not identify individuals with intellectual disabilities (ID) as at risk of fracture, potentially missing opportunities for prevention. We aimed to assess the incidence of fractures in people with ID over the life course.

METHODS

Descriptive analysis of open cohort study using anonymised electronic health records from the UK Clinical Practice Research Datalink, linked to the Hospital Episode Statistics database (Jan 1, 1998-Dec 31, 2017). All individuals with ID were matched on age and sex to five individuals without ID.  We calculated the incidence rate (95% CI) per 10000 person-years (py) and incidence rate ratio (IRR, 95% CI) to compare fractures between individuals with and without ID (age 1-17 and ≥18 years) for any fracture, and in those aged 18-49 and ≥ 50 years for major osteoporotic fracture (vertebra, shoulder, wrist, hip), and for hip fracture.

FINDINGS

43176 individuals with ID (15470 children aged 1-17 years; 27706 adults aged ≥ 18 years) were identified and included (40.4% females) along with 215733 matched control individuals.  The median age at study entry was 24 (10th-90th centiles 3-54) years. Over a median (10th-90th centile) follow-up of 7.1 (0.9-17.6) and 6.5 (0.8-17.6) years, there were 5941 and 24363 incident fractures in the ID and non ID groups respectively. Incidence of any fracture was 143.5 (131.8-156.3) vs 120.7 (115.4-126.4)/10000 py (children), 174.2 (166.4-182.4)/10000 py vs 118.2 (115.3-121.2)/10000 py (adults) in females. In males it was 192.5 (182.4-203.2) vs 228.5 (223.0-234.1)/10000 py (children), 155.6 (149.3-162.1)/10000 py vs 128.4 (125.9-131.0)/10000 py (adults). IRR for major osteoporotic fracture was 1.81 (1.50-2.18) age 18-49 years, 1.69 (1.53-1.87) age ≥ 50 years in women. In men it was 1.56 (1.36-1.79) age 18-49 years, 2.45 (2.13-2.81) age ≥ 50 years. IRR for hip fracture was 7.79 (4.14-14.65) age 18-49 years, 2.28 (1.91-2.71) age ≥ 50 years in women. In men it was 6.04 (4.18-8.73) age 18-49 years, 3.91 (3.17-4.82) age ≥ 50 years. Comparable rates of major osteoporotic fracture and of hip fracture occurred approximately 15 and 20 years earlier respectively in women and 20 and 30 years earlier respectively in men with ID than without ID. Fracture distribution differed profoundly, hip fracture 9.9% vs 5.0% of any fracture in adults with ID vs without ID.

INTERPRETATION

The incidence, type, and distribution of fractures in people with intellectual disabilities suggest early onset osteoporosis. Prevention and management strategies are urgently required, particularly to reduce the incidence of hip fracture.

FUNDING

National Institute for Health and Care Research.

Definition of normal vertebral morphometry using NHANES‐II radiographs

A robust definition of normal vertebral morphometry is required to confidently identify abnormalities such as fractures. The Second National Health and Nutrition Examination Survey (NHANES‐II) collected a nationwide probability sample to document the health status of the United States. Over 10,000 lateral cervical spine and 7,000 lateral lumbar spine X‐rays were collected. Demographic, anthropometric, health, and medical history data were also collected. The coordinates of the vertebral body corners were obtained for each lumbar and cervical vertebra using previously validated, automated technology consisting of a pipeline of neural networks and coded logic. These landmarks were used to calculate six vertebral body morphometry metrics. Descriptive statistics were generated and used to identify and trim outliers from the data. Descriptive statistics were tabulated using the trimmed data for use in quantifying deviation from average for each metric. The dependency of these metrics on sex, age, race, nation of origin, height, weight, and body mass index (BMI) was also assessed. There was low variation in vertebral morphometry after accounting for vertebrae (eg, L1, L2), and the R² was high for ANOVAs. Excluding outliers, age, sex, race, nation of origin, height, weight, and BMI were statistically significant for most of the variables, though the F‐statistic was very small compared to that for vertebral level. Excluding all variables except vertebra changed the ANOVA R² very little. Reference data were generated that could be used to produce standardized metrics in units of SD from mean. This allows for easy identification of abnormalities resulting from vertebral fractures, atypical vertebral body morphometries, and other congenital or degenerative conditions. Standardized metrics also remove the effect of vertebral level, facilitating easy interpretation and enabling data for all vertebrae to be pooled in research studies. © 2022 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research.

Forward Bending in Supine Test: Diagnostic Accuracy for Acute Vertebral Fragility Fracture

Despite its high incidence rate, vertebral fragility fracture (VFF) is frequently underdiagnosed due to the absence of marked symptoms. This study evaluated the diagnostic accuracy of our suggested physical examinations and compared them with that of plain radiographs. Patients over 65 years of age with sudden back pain within the preceding 3 weeks were enrolled. Physical examinations in three different positions and a closed-fist percussion test were performed, and the presence of VFF was evaluated through confirmatory radiographic tools. We assessed the diagnostic accuracy of each physical examination and compared them with the interpretation of plain radiographs and examined the patient-reported pain locations based on the VFF level. A total of 179 patients were enrolled. The forward bending in supine (FB-SU) test demonstrated superior diagnostic values (sensitivity: 90.6%, specificity: 71.2%), which outperformed those of plain radiographs (sensitivity: 68.9%, specificity: 71.9%). The location of patient-reported pain was generally close to or lower than the index fracture level. FB-SU showed the highest diagnostic accuracy and was more valuable than plain radiographs in diagnosing acute VFF. FB-SU is a simple and affordable screening test. If positive, physicians should highly suspect VFF even when based on vague evidence of acute fracture provided by plain radiographs.

Vertebrae Labeling via End-to-End Integral Regression Localization and Multi-Label Classification Network

Accurate identification and localization of the vertebrae in CT scans is a critical and standard pre-processing step for clinical spinal diagnosis and treatment. Existing methods are mainly based on the integration of multiple neural networks, and most of them use heatmaps to locate the vertebrae's centroid. However, the process of obtaining vertebrae's centroid coordinates using heatmaps is non-differentiable, so it is impossible to train the network to label the vertebrae directly. Therefore, for end-to-end differential training of vertebrae coordinates on CT scans, a robust and accurate automatic vertebral labeling algorithm is proposed in this study. First, a novel end-to-end integral regression localization and multi-label classification network is developed, which can capture multi-scale features and also utilize the residual module and skip connection to fuse the multi-level features. Second, to solve the problem that the process of finding coordinates is non-differentiable and the spatial structure of location being destroyed, an integral regression module is used in the localization network. It combines the advantages of heatmaps representation and direct regression coordinates to achieve end-to-end training and can be compatible with any key point detection methods of medical images based on heatmaps. Finally, multi-label classification of vertebrae is carried out to improve the identification rate, which uses bidirectional long short-term memory (Bi-LSTM) online to enhance the learning of long contextual information of vertebrae. The proposed method is evaluated on a challenging data set, and the results are significantly better than state-of-the-art methods (identification rate is 91.1% and the mean localization error is 2.2 mm). The method is evaluated on a new CT data set, and the results show that our method has good generalization.

Management of vertebral compression fractures: the role of dual-energy CT in clinical practice

PURPOSE

To evaluate the role of dual-energy computed tomography (DECT) in the management of vertebral compression fractures in clinical practice.

MATERIALS AND METHODS

This retrospective IRB-approved study included 497 consecutive patients with suspected acute vertebral fractures, imaged either by DECT (group 1) or MRI (group 2) before vertebroplasty. The site, number and type of fractures at imaging findings, and clinical outcome based on any change in pain (DELTA-VAS), before (VAS-pre) and after treatment (VAS-post), were determined and compared. Two radiologists evaluated DECT and MRI images (15 and 5 years of experience, respectively), and inter-observer and intra-observer agreement were calculated using k statistics.

RESULTS

Both in the control group (n = 124) and in the group of patients treated by vertebroplasty (n = 373), the clinical outcome was not influenced by the imaging approach adopted, with a DELTA-VAS of 5.45 and 6.42 in the DECT group and 5.12 and 6.65 in the MRI group (p = 0.326; p = 0.44). In the group of treated patients, sex, age, lumbar fractures, multiple fractures, previous fractures, Genant grade, involvement of anterior apex or superior endplates, and increased spinal curvatures were similar (p = ns); however, dorsal fractures were more prevalent in group 1 (p = 0.0197). Before treatment, the mean VAS-pre was 8.74 in group 1 (DECT) and 8.65 in group 2 (MRI) (p = 0.301), whereas after treatment, the mean VAS-post value was 2.32 in group 1 (p = 0.0001), and 2.00 in group 2 (p = 0.0001). The DELTA-VAS was 6.42 in the group of patients imaged using DECT and 6.65 in the group imaged using MRI (p = 0.326). Inter-observer and intra-observer agreement were 0.85 and 0.89 for DECT, and 0.88 and 0.91 for MRI, respectively.

CONCLUSION

The outcome of vertebral compression fracture management was no different between the two groups of patients studied.

Incidental Identification of Vertebral Fragility Fractures by Chest CT in COVID-19-Infected Individuals

Introduction

It is critical to identify asymptomatic vertebral compression fractures (VCFs) as soon as possible in order to avoid subsequent fragility fractures. The purpose of the study was to see how many vertebral compression fractures there were in patients admitted to the COVID-19 pneumonia unit in a single tertiary care hospital who underwent chest computed tomography (CT) scans.

Materials and methods

Sagittal reconstruction of the thoracic spine was done in around 504 patients and classified into mild, moderate, and severe categories, and we compared it with the radiological reports of the same.

Results

In our study, the median age was 53 years (range: 31-91 years); 63% were men and 37% were women. Of the 504 patients, 76 (15%) had at least one vertebral compression fracture (VCF); 53 (10.2%) had one VCF, and 23 (4.8%) had multiple VCF, with 50 having mild fractures, 15 having moderate fractures, and 11 having severe fractures. Males (13.87%) and females (14.72%) had the same proportion of VCF (p = 0.83). Only 10% of the patients with VCFs we identified had a description in their report (eight patients).

Conclusion

The reporting of VCF is insufficient. VCF detection should be included in the search patterns of radiologists and physicians, regardless of the primary reason for performing chest CT. Although many patients are unable to come to the hospital during pandemic/epidemic, careful evaluation and inclusion of mild fractures in reports, as well as an explanation of the risk of subsequent fractures and treatment accordingly, would completely eliminate the risk of subsequent fractures.

Underdiagnosis and underreporting of vertebral fractures on chest radiographs in men aged over 50 years or postmenopausal women with and without type 2 diabetes mellitus: a retrospective cohort study

Background

Osteoporotic vertebral fractures are often clinically silent and unrecognized. The present study aimed to determine whether routine chest radiographs could be a potential screening tool for identifying missed vertebral fractures in men aged over 50 years or postmenopausal women, especially those with type 2 diabetes mellitus (T2DM). In this study, we aimed to determine the prevalence of undetected vertebral fractures in elderly Chinese patients with and without T2DM.

Methods

Clinical data and chest radiographs of 567 individuals with T2DM (T2DM group) and 583 without diabetes (nondiabetic group) at a tertiary hospital in central south China were extracted from the records. Vertebral fractures were specifically looked for on chest radiographs and classified using the Genant semi-quantitative scale. Prevalence was compared between the two groups.

Results

Mean age and sex composition were comparable between the two groups. Mean weight and body mass index were significantly lower in the T2DM group. In both groups, fractures mostly involved the T11–12 and L1 vertebrae. Moderate/severe fractures were identified in 33.3% individuals in the T2DM group (31.4% men and 36.0% women) versus 23.2% individuals (20.9% men and 25.5% women) in the nondiabetic group.

Conclusions

Routine chest radiographs could be a useful screening tool for identifying asymptomatic vertebral fractures.

Trial registration The study was designed as an observational retrospective study, therefore a trial registration was not necessary.

Fully automated opportunistic screening of vertebral fractures and osteoporosis on more than 150,000 routine computed tomography scans

OBJECTIVE

Osteoporosis is underdiagnosed and undertreated, although severe complications of osteoporotic fractures, including vertebral fractures, are well known. This study sought to assess the feasibility and results of an opportunistic screening of vertebral fractures and osteoporosis in a large database of lumbar or abdominal CT scans.

MATERIAL AND METHODS

Data were analyzed from CT scans obtained in 35 hospitals from patients aged 60 years and more and stored in a Picture Archiving and Communication System in Assistance-Publique-Hôpitaux de Paris, from 2007 to 2013. Dedicated software analyzed the presence of at least 1 vertebral fracture (VF), and measured Hounsfield Units (HU) in lumbar vertebrae. A simulated T-score was calculated.

RESULTS

Data were analyzed from 152 268 patients (73.2 ± 9.07 years). Success rates for VF assessment and HU measurements were 82 and 87% respectively. Prevalence of VF was 24.5% and increased with age. Areas under the receiver operating characteristic curves for the detection of VF were 0.61 and 0.62 for mean HU of lumbar vertebrae and L1 HU, respectively. In patients without VF, HU decreased with age, similarly in males and females. The prevalence of osteoporosis (sT-score ≤ - 2.5) was 23.8% and 36.5% in patients without and with VFs respectively.

CONCLUSION

Opportunistic screening in patients 60 years and older having lumbar or abdominal CT scans is feasible at large scale to screen vertebral fractures and osteoporosis.

The Multi-Modal Risk Analysis and Medical Prevention of Lumbar Degeneration, Fatigue, and Injury Based on FEM/BMD for Elderly Chinese Women Who Act as Stay-Home Grandchildren Sitters

Background: An increasing number of Chinese elderly women stay at home and act as grandchildren sitters. In consequence of the frequent load-bearing, chronic lumbar fatigue probably caused a higher risk of lumbar degeneration, fatigue, and injury which has become one of the most important aging and health problems in China. In this study, a multi-mode lumbar finite element model (FEM) with specific bone mineral density (BMD) were developed and validated for further spine injury prevention and control. Methods: The material properties of lumbar vertebra were modified according to degenerated bone mineral density, and geometry was adjusted based on intervertebral disc height. The motion of lifting children was simulated by a 76 year-old Chinese women's FEM, and the stress distribution was calculated and predicted. Results: The pressure of L5-S intervertebral disc in the bending 3-year-old dummy lifting posture was significantly higher than the same posture without lifting, the maximum effective stress of endplate cartilage in the upright child lifting posture was 1.6 times that of the bending without lifting posture. And the fatigue risk limitation frequency of the upright with dummy posture was predicted with the functional equation of fatigue and stress which was deduced by genetic algorithm, which combined with the effective stress of lumbar vertebrae spongy bone calculated from FEM. Conclusions: The child-lifting motion could increase the risk of lumbar degeneration, fatigue, and injury in elderly women, and they should keep below the frequency limit of the motion of lifting children in their daily life. This study could put forward scientific injury prevention guidance to Chinese elderly women who lift children in daily life frequently.

Prevalence of morphometric vertebral fractures in osteoporotic patients in Greece: the Vertebral Integrity Assessment (VERTINAS) study

Our purpose was to assess the prevalence of morphometric vertebral fractures (VFs) in osteoporotic patients in our country. We found that 25.4% of patients had sustained a VF, and the majority of them (76.6%) were undiagnosed prior to inclusion in this study.

INTRODUCTION

We assessed the prevalence of morphometric vertebral fractures (VFs) in osteoporotic patients in our country.

METHODS

Patients were recruited via announcements by the national media, their attending physicians or the National patients' Society. Inclusion criteria were (1) age > 50 years, (2) postmenopausal status > 2 years (women), (3) > 1-year use of medication for osteoporosis and (4) lack of radiological vertebral assessment for > 1 year. Exclusion criteria were (1) bone metabolic diseases other than osteoporosis, (2) patients with secondary osteoporosis, (3) patients with inability to stand/walk, (4) previous high-energy VFs. All patients performed lateral X-rays of the thoracic and lumbar spine that were evaluated separately both by certified radiologists on site as well as 3 consultant orthopaedic surgeons remotely through a specifically designed web database system. The Genant semi-quantitative method was used for the classification and grading of VFs and statistical analysis of the results was performed.

RESULTS

One thousand six hundred fifty-two patients (1516 female, 70.02 ± 8.28 years; 136 male, 74.78 ± 8.25 years) were included in the final analysis. The prevalence of VFs was 25.4%, 76.6% of fractured patients were previously undiagnosed, and of these 39.9% had > 1 VFs. The most common fracture was T12, most fractures were found to be mild (grade 1) across all age groups, and patients 70-79 years and > 80 years were found to have a statistically significantly higher number of fractures than younger patients (p < 0.001).

CONCLUSIONS

Our results of the high prevalence of morphometric VFs emphasise the need for baseline assessment of vertebral fragility in patients receiving treatment for osteoporosis, as well as follow-up radiographs at specified time periods while on therapy.

Internal medicine inpatients' prevalence of misdiagnosed severe osteoporosis

Vertebral fractures (VF) related to osteoporosis (i.e., severe OP) increase the risk of disability and mortality, but they are often neglected. We observed a severe OP misdiagnosis in 28.9% of inpatients with previous spinal imaging positive for VFs. Diagnosing severe OP is crucial to reduce the health care costs of inpatients.

INTRODUCTION

Vertebral fractures (VFs) related to osteoporosis (OP) increase the risk of additional fractures and death. In inpatients, VFs are often neglected with consequent delay in OP treatments, prolongation of hospitalization, and reduction of life expectancy. The aim of this study was to evaluate the prevalence of a misdiagnosed severe OP (i.e., with VF) in general medicine inpatients.

METHODS

We evaluated inpatients of a Medicine Unit between January 2019 and December 2019 without severe OP diagnosis, who had spinal imaging. For each patient, we collected demographic data, previous or current OP treatment, and presence/number of VFs. Descriptive data were presented by medians (interquartile range [IQR]) for continuous data or as numbers (percentages) for categorical data. Differences between subgroups were analyzed with chi-square or Kruskal-Wallis tests as appropriate. p-values <0.05 were considered statistically significant.

RESULTS

793 subjects were admitted to inpatient's clinic: 235 (135 females and 100 males with a median age of 76.0 [64.0-83.0] years) were enrolled. One or more vertebral fractures were present in 28.9% (68/235) subjects; 47% (32/68) had two or more vertebral fractures. The majority of patients (55/68) with VFs had not previously received a severe OP diagnosis.

CONCLUSIONS

Severe OP was misdiagnosed in at least 8.6% of inpatients. The prevalence dramatically increases (about 29%) in subjects with previous spinal imaging showing one or more VFs. More attention should be given to this co-morbidity, which is known to be an additional risk factor for disability and mortality.

The Vessels-Bone Axis: Iliac Artery Calcifications, Vertebral Fractures and Vitamin K from VIKI Study

Vascular calcification and fragility fractures are associated with high morbidity and mortality, especially in end-stage renal disease. We evaluated the relationship of iliac arteries calcifications (IACs) and abdominal aortic calcifications (AACs) with the risk for vertebral fractures (VFs) in hemodialysis patients. The VIKI study was a multicenter cross-sectional study involving 387 hemodialysis patients. The biochemical data included bone health markers, such as vitamin K levels, vitamin K-dependent proteins, vitamin 25(OH)D, alkaline phosphatase, parathormone, calcium, and phosphate. VF, IACs and AACs was determined through standardized spine radiograms. VF was defined as >20% reduction of vertebral body height, and VC were quantified by measuring the length of calcium deposits along the arteries. The prevalence of IACs and AACs were 56.1% and 80.6%, respectively. After adjusting for confounding variables, the presence of IACs was associated with 73% higher odds of VF (p = 0.028), whereas we found no association (p = 0.294) for AACs. IACs were associated with VF irrespective of calcification severity. Patients with IACs had lower levels of vitamin K2 and menaquinone 7 (0.99 vs. 1.15 ng/mL; p = 0.003), and this deficiency became greater with adjustment for triglycerides (0.57 vs. 0.87 ng/mL; p < 0.001). IACs, regardless of their extent, are a clinically relevant risk factor for VFs. The association is enhanced by adjusting for vitamin K, a main player in bone and vascular health. To our knowledge these results are the first in the literature. Prospective studies are needed to confirm these findings both in chronic kidney disease and in the general population.

Assessment of Skeletal Strength: Bone Density Testing and Beyond

A bone fractures when a force applied to it exceeds its strength. Assessment of bone strength is an important component in determining the risk of fracture and guiding treatment decisions. Dual-energy X-ray absorptiometry is used to diagnosis osteoporosis, estimate fracture risk, and monitor changes in bone density. Fracture risk algorithms provide enhanced fracture risk predictability. Advanced technologies with computed tomography (CT) and MRI can measure parameters of bone microarchitecture. Mathematical modeling using CT data can evaluate the behavior of bone structures in response to external loading. Microindentation techniques directly measure the strength of outer bone cortex.

Integration of a vertebral fracture identification service into a fracture liaison service: a quality improvement project

Integration of a vertebral fracture identification service into a Fracture Liaison Service is possible. Almost one-fifth of computerised tomography scans performed identified an individual with a fracture. This increase in workload needs to be considered by any FLS that wants to utilise such a service.

INTRODUCTION

This service improvement project aimed to improve detection of incidental vertebral fractures on routine imaging. It embedded a vertebral fracture identification service (Optasia Medical, OM) on routine computerised tomography (CT) scans performed in this hospital as part of its Fracture Liaison Service (FLS).

METHODS

The service was integrated into the hospital's CT workstream. Scans of patients aged ≥ 50 years for 3 months were prospectively retrieved, alongside their clinical history and the CT report. Fractures were identified via OM's machine learning algorithm and cross-checked by the OM radiologist. Fractures identified were then added as an addendum to the original CT report and the hospital FLS informed. The FLS made recommendations based on an agreed algorithm.

RESULTS

In total, 4461 patients with CT scans were retrieved over the 3-month period of which 850 patients had vertebra fractures identified (19.1%). Only 49% had the fractures described on hospital radiology report. On average, 61 patients were identified each week with a median of two fractures. Thirty-six percent were identified by the FLS for further action and recommendations were made to either primary care or the community osteoporosis team within 3 months of fracture detection. Of the 64% not identified for further action, almost half was because the CT was part of cancer assessment or treatment. The remaining were due to a combination of only ≤ 2 mild fractures; already known to a bone health specialist; in the terminal stages of any chronic illness; significant dependency for activities of daily living; or a life expectancy of less than 12 months CONCLUSION: It was feasible to integrate a commercial vertebral fracture identification service into the daily working of a FLS. There was a significant increase in workload which needs to be considered by any future FLS planning to incorporate such a service into their clinical practice.

Vertebral compression fractures: Still an unpredictable aspect of osteoporosis

Vertebral compression fracture is a hallmark of osteoporosis (OP) and by far the most prevalent fragility fracture. It is well proven that patients who develop a vertebral compression fracture are at substantial risk for additional fractures. Diagnosis is based on adequate clinical evaluation, imaging, and laboratory tests. The imaging of OP and fragility fractures includes conventional radiology to evaluate spinal fractures, bone mineral density (BMD) testing by dual energy x-ray densitometry, quantitative computerized tomography, magnetic resonance imaging, bone scintigraphy (if necessary), and ultrasound. Screening and treatment of individuals with high risk of osteoporotic fracture are cost-effective, but approximately two-thirds of the vertebral compression fractures (VCF) that occur each year are not accurately diagnosed and, therefore, not treated. Evaluation of VCFs, even though they may be asymptomatic, seems essential to health-related and/or clinical research on OP.

Differentiation Between Osteoporotic And Neoplastic Vertebral Fractures: State Of The Art And Future Perspectives

Vertebral fractures are a common condition, occurring in the context of osteoporosis and malignancy. These entities affect a group of patients in the same age range; clinical features may be indistinct and symptoms non-existing, and thus present challenges to diagnosis. In this article, we review the use and accuracy of different imaging modalities available to characterize vertebral fracture etiology, from well-established classical techniques, to the role of new and advanced imaging techniques, and the prospective use of artificial intelligence. We also address the role of imaging on treatment. In the context of osteoporosis, the importance of opportunistic diagnosis is highlighted. In the near future, the use of automated computer-aided diagnostic algorithms applied to different imaging techniques may be really useful to aid on diagnosis.

Osteoporotic Vertebral Fractures are Common in Hip Fracture Patients and are Under-recognized

INTRODUCTION

The vertebrae are the most common site for osteoporotic fracture. While they can result in disability and increased mortality, only one-third present clinically. People with multiple fractures are at greater risk of future fractures. Most hip fracture patients are neither diagnosed nor treated for their underlying osteoporosis. Computed tomography (CT) studies are often performed on hospitalised patients, can be used to diagnose osteoporosis and are gaining popularity for opportunistic osteoporosis screening by measuring BMD and other bone strength indices. The aim of this study was to assess the prevalence of vertebral fractures on CT pulmonary angiograms (CTPA) in a cohort of hip fracture patients and whether this increased their diagnosis and treatment rates.

METHODS

We retrospectively identified all hip fractures admitted to our institution between 2010 and 2017 to identify those who underwent CTPA scans. An independent, blinded consultant musculoskeletal radiologist reviewed the images for vertebral fractures and quantified severity using Genant criteria. Results were compared to the original radiology report, discharge diagnoses and treatment rates for osteoporosis.

RESULTS

Eleven percent (225/2122) of patients had CTPA images available. Seventy percent (158) were female with a mean age of 78 years (SD: 11). The median length of stay for all patients was 16 days (1-301). Forty percent (90) of patients had at least one vertebral fracture present and 20% (46) had more than one fracture. Only one in 5 radiology reports noted the fractures. 24% of subjects had osteoporosis treatment recorded at hospital discharge and there was no difference between those with vertebral fractures to those without.

CONCLUSION

Many hip fracture patients have undiagnosed spine fractures. A screening strategy which evaluates CT scans for fractures has potential to increase diagnosis and treatment rates of osteoporosis. However, more work is needed to increase awareness.

Approaches to Fracture Risk Assessment and Prevention

PURPOSE OF REVIEW

To critically assess recent evidence concerning osteoporosis fracture risk.

RECENT FINDINGS

Robust instruments exist for predicting factures incorporating well-documented risk factors especially prior fracture whose magnitude varies with site, occurrence time, and age. Stratifying time-since-prior fracture has resulted in the concept of imminent fracture risk and increased focus on secondary fracture prevention. Secondary fracture prevention recommendations include fracture liaison service, pharmacologic and non-pharmacologic multidisciplinary intervention, and communicating that fractures in older adults are the predictable consequence of underlying osteoporosis rather than unfortunate accidents. Quality improvement in osteoporosis care includes diagnosing osteoporosis on the basis of clinical fractures rather than exclusively relying on bone density testing; applying diagnostic rather than screening approaches to patients with prior fractures; regularly updating fall and fracture histories; performing a physical exam focused on spinal curvature, posture, and musculoskeletal function; reviewing images to identify prevalent fractures that may have been missed; and general use of fracture risk algorithms at all stages of osteoporosis management. Communicating effectively with patients about osteoporosis and fractures, their consequences, and pharmacological and non-pharmacological management is the cornerstone of high-value care.

Assessment of previous fracture and anti-osteoporotic medication prescription in hip fracture patients

INTRODUCTION

Hip fracture prevention is an essential component in elderly patient care. History of prior fracture is a significant risk factor for subsequent hip fracture. There are variable rates of treatment for these groups of patients. The aims of this study were to make an assessment of how many hip fracture patients over a 1 year period had a previous fracture and to assess whether or not these patients were on anti-osteoporotic medication.

METHODS

Assessment on whether or not patients had a prior fracture using the national radiology imaging system checking radiology reports for all previous imaging performed. Checking patients bone health status using the hip fracture database for our hospital.

RESULTS

There were 225 hip fractures in 221 patients over a 1-year period. About 42.6% of females and 35.9% of males had a history of previous fracture. Vertebral fractures were the most common type of fracture. We found 7% of patients had a contralateral hip fracture. There were 81% of patients with prior fracture, and 71% of those without prior fracture were on anti-osteoporotic medication.

DISCUSSION

Vertebral fractures were the most common preceding fracture in hip fracture patients. There were many patients with a history of fragility fractures that were not on preventative medication. Overall there were good prescription rates of anti-osteoporotic medication. There were significantly higher rates of prescription amongst females compared with males.

Vertebral fracture: epidemiology, impact and use of DXA vertebral fracture assessment in fracture liaison services

Vertebral fractures are independent risk factors for vertebral and nonvertebral fractures. Since vertebral fractures are often missed, the relatively new introduction of vertebral fracture assessment (VFA) for imaging of the lateral spine during DXA-measurement of the spine and hips may contribute to detect vertebral fractures. We advocate performing a VFA in all patients with a recent fracture visiting a fracture liaison service (FLS). Fracture liaison services (FLS) are important service models for delivering secondary fracture prevention for older adults presenting with a fragility fracture. While commonly age, clinical risk factors (including fracture site and number of prior fracture) and BMD play a crucial role in determining fracture risk and indications for treatment with antiosteoporosis medications, prevalent vertebral fractures usually remain undetected. However, vertebral fractures are important independent risk factors for future vertebral and nonvertebral fractures. A development of the DXA technology, vertebral fracture assessment (VFA), allows for assessment of the lateral spine during the regular DXA bone mineral density measurement of the lumbar spine and hips. Recent approaches to the stratification of antiosteoporosis medication type according to baseline fracture risk, and differences by age in the indication for treatment by prior fracture mean that additional information from VFA may influence initiation and type of treatment. Furthermore, knowledge of baseline vertebral fractures allows reliable definition of incident vertebral fracture events during treatment, which may modify the approach to therapy. In this manuscript, we will discuss the epidemiology and clinical significance of vertebral fractures, the different methods of detecting vertebral fractures, and the rationale for, and implications of, use of VFA routinely in FLS. • Vertebral fracture assessment is a tool available on modern DXA instruments and has proven ability to detect vertebral fractures, the majority of which occur without a fall and without the signs and symptoms of an acute fracture. • Most osteoporosis guidelines internationally suggest that treatment with antiosteoporosis medications should be considered for older individuals (e.g., 65 years +) with a recent low trauma fracture without the need for DXA. • Younger individuals postfracture may be risk-assessed on the basis of FRAX® probability including DXA and associated treatment thresholds. • Future fracture risk is markedly influenced by both site, number, severity, and recency of prior fracture; awareness of baseline vertebral fractures facilitates definition of true incident vertebral fracture events occurring during antiosteoporosis treatment. • Detection of previously clinically silent vertebral fractures, defining site of prior fracture, might alter treatment decisions in younger or older FLS patients, consistent with recent IOF-ESCEO guidance on baseline-risk-stratified therapy, and provides a reliable baseline from which to define new, potentially therapy-altering, vertebral fracture events.

Osteoporotic vertebral fractures: A diagnostic challenge in the 21ST century

Vertebral fractures are the most prevalent osteoporotic fractures and are paradoxically the most underdiagnosed. While only one-third of patients have acute pain, they can present other associated chronic complications. Vertrebal fractures are associated with the onset of new fractures, both vertebral and nonvertebral. Radiography of the dorsal-lumbar spine is a useful tool for detecting them but depends on the subjective interpretation of the physician conducting the assessment. New techniques, such as vertebral morphometry, have recently demonstrated greater efficacy in detecting v vertebral fractures and are performed concomitantly with bone densitometry. Knowing how to identify vertebral fractures is essential for the secondary prevention of new fractures and improving our patients' quality of life.

Opportunistic diagnosis of osteoporotic vertebral fractures on standard imaging performed for alternative indications

Osteoporotic vertebral fractures (VFs) are the most common type of osteoporotic fracture. Patients with VF are at increased risk of hip fractures or additional VFs, both of which contribute to patient morbidity and mortality. Early diagnosis of VFs is essential so patients can be prescribed appropriate medical therapy.

Most patients with clinical suspicion for VF have an X-ray of the spine. Many VFs are invisible on X-ray and require further imaging. CT can provide excellent bony detail but uses high doses of ionising radiation. MRI provides excellent soft tissue detail and can distinguish old from new fractures in addition to differentiating osteoporotic VFs from other causes of back pain. Bone scans have a limited role due to poor specificity.

The literature suggests that radiologists frequently miss or do not report VFs when imaging is requested for an alternative clinical indication and when there is no clinical suspicion of VF. Common examples include failure to identify VFs on lateral chest X-rays, sagittal reformats of CT thorax and abdomen, lateral localizers on MRI and scout views on CT.

Failure to diagnose a VF is a missed opportunity to improve management of osteoporosis and reduce risk of further fractures. This article discusses the role of radiographs, CT, MRI and bone scintigraphy in the assessment and recognition of osteoporotic fractures. This article focuses on opportunistic diagnosis of VFs on imaging studies that are performed for other clinical indications. It does not discuss use of dual energy X-ray absorptiometry which is a specific imaging modality for osteoporosis.

Trabecular bone score improves fracture risk assessment in glucocorticoid-induced osteoporosis

OBJECTIVE

To analyse the clinical utility of trabecular bone score (TBS) evaluation for fracture risk assessment in glucocorticoid (GC)-treated patients compared with BMD assessment.

METHODS

One hundred and twenty-seven patients on GC treatment were included [mean age 62 (18) years, 63% women] in this cross-sectional study. The medical history, anthropometric data, lumbar and femoral BMD (DXA) [considering osteoporosis (OP): T-score ⩽-2.5], TBS (considering degraded microarchitecture: <1.230) and dorsolumbar X-ray [to assess vertebral fractures (VF)] were evaluated. BMD and TBS sensitivity, specificity, and positive and negative predictive values (PPV, NPV) were evaluated to determine the diagnostic accuracy of the two methods.

RESULTS

All patients were receiving GC treatment for autoimmune diseases during 47.7 (68.9) months at a mean daily dose of 14.5 mg; 17% had VF, 28% any type of fragility fracture (VF + non-VF), 29% OP and 52% degraded microarchitecture. Degraded microarchitecture was significantly more frequent than densitometric OP in patients with VF (76% vs 38%) and with any fragility fracture (69% vs 36%). For VF, TBS and BMD sensitivity, specificity, PPV, and NPV were 0.76, 0.53, 0.25 and 0.92, and 0.38, 0.72, 0.22 and 0.85, respectively. Specificity increased to 0.89 for VF and 0.9 for any fragility fracture on combining BMD+TBS. TBS had better ability than BMD to discriminate between patients with fracture, especially VF (area under the curve = 0.73).

CONCLUSION

TBS seems to have greater discriminative power than BMD for fracture risk assessment in GC-treated patients, confirming the utility of this method as a complementary tool in the diagnosis of GC-induced OP.

Prevalence and risk factors of morphometric vertebral fracture in apparently healthy osteopenic postmenopausal Thai women

OBJECTIVE

To determine the prevalence of and risk factors for morphometric vertebral fracture (VF) in apparently healthy postmenopausal women with osteopenia.

METHODS

This cross-sectional study included 490 postmenopausal Thai women with osteopenia. All had no known history of low-trauma fracture, no underlying diseases, or history of taking medications that affect bone metabolism. Morphometric VFs were assessed by thoracolumbar spine x-rays, using the Genant semiquantitative method, and interpreted independently by three radiologists.

RESULTS

Mean age of participants was 59.9 ± 7.8 years and mean body mass index was 24.3 ± 3.4 kg/m2. Morphometric VFs were present in 29% (142/490) of women (grade 1: 62.0%, grade 2: 19.3%, and grade 3: 18.7%). Of these, 4.9% were aged 50 years or less, 40.1% were aged 50-59 years, 38% were aged 60-69 years, and 16.9% were aged over 70 years. Age and the Fracture Risk Assessment Tool (FRAX) scores for hip and major osteoporotic fracture, with or without bone mineral density, were positively correlated with VF. No differences in fracture prevalence among those with various degrees of osteopenia. Applying the current guidelines for VF screening results in discoveries of less than a half of osteopenic women who have had morphometric VF.

CONCLUSIONS

Almost one third of apparently healthy postmenopausal women with osteopenia had morphometric VF. Advancing age and greater FRAX scores were associated with higher prevalence of morphometric VF.

Fragility fractures in psoriatic arthritis patients: a matched retrospective cohort study

OBJECTIVE

To compare incidental fragility fractures in psoriatic arthritis (PsA) patients with matched controls from a university hospital.

METHODS

Consecutive PsA patients were matched (age and sex) with controls (1:2). Follow-up began at index date, defined as the date of PsA diagnosis for cases and their respective controls, until the last hospital visit, death or the end of the study (31 December 2017). Electronic medical records were reviewed for osteoporotic fractures. Incidence rates per 100,000 persons-years (PY) of distinct types of fractures after index dates were calculated and compared between groups. A multivariate Cox regression analysis was performed to investigate determinants of fractures.

RESULTS

Ninety-two PsA patients and 184 controls were included. No difference was found in the overall fracture incidence rate per 100,000 PY between PsA and controls (1020 95% CI 510-1930, vs 870 95% CI 520-1390, p = 0.36). Vertebral fractures were numerically more frequent in PsA patients with an incidence rate of 1020 (95% CI 510-1930) per 100,000 PY versus 460 (95% CI 240-920), per 100,000 PY in the control group but it did not reach statistical significance (p = 0.06). In the Cox regression analysis, after adjusting for bisphosphonate use, only age (HR 1.10, 1.05-1.16, p < 0.001) and female sex (HR 3.94, 1.11-13.91, p = 0.03) were associated with fractures while PsA diagnosis and use of glucocorticoids were not.

CONCLUSION

In this cohort of PsA patients, no overall increased risk of fractures was found in comparison with matched controls. Key Points • PsA could have different effects on bone, leading to confusing results in bone densitometry readings contributing to the difficulty in establishing the real prevalence of OP in PsA. • Vertebral fractures were more frequent in PsA patients compared to controls, but it did not reach statistical significance. No difference was found in the overall fracture incidence rate.

Prevalence of asymptomatic radiographic vertebral fracture in postmenopausal Thai women

We aim to investigate the nationwide prevalence of asymptomatic radiographic vertebral fracture in Thailand. We found 29% of postmenopausal women had at least one radiographic vertebral fracture. The prevalence was significantly higher among women with osteoporosis at the total hip (TH) region which implies that TH bone mineral density is a determinant of vertebral fracture risk.

INTRODUCTION

Radiographic vertebral fracture is associated with an increased risk of osteoporotic fracture and mortality in postmenopausal women. We designed a study to determine the prevalence of asymptomatic vertebral fractures in postmenopausal Thai women.

METHODS

The study was designed as a cross-sectional investigation at five university hospitals so as to achieve representation of the four main regions of Thailand. Radiographs were taken from 1062 postmenopausal women averaging 60 years of age. The presence of vertebral fracture was assessed by the Genant's semiquantitative method with three independent radiologists. Respective bone mineral density was measured by dual-energy X-ray absorptiometry (DEXA) at the lumbar spine (LS), femoral neck (FN), and total hip (TH).

RESULTS

Among the 1062 women, 311 were found to have at least one radiographic vertebral fracture-yielding a prevalence of 29% (95% CI 23.6-32.0%)-and 90 (8.5%, 95% CI 6.8-10.2%) had at least two fractures. The prevalence of vertebral fracture increased with advancing age. Most fractures occurred at one vertebra (71%) and only 29% at multiple vertebrae. The prevalence of vertebral fracture was significantly higher among women with osteoporosis compared with non-osteoporosis at the TH region. There was no significant difference in the prevalence among women with or without osteoporosis at the LS or FN.

CONCLUSIONS

Radiographic vertebral fractures were common among Thai postmenopausal women (~ 29%). These findings suggest that approximately one in three postmenopausal women has undiagnosed vertebral fracture. Radiographic diagnosis should therefore be an essential investigation for identifying and confirming the presence of vertebral fractures.

Impact of Bone Mineral Density on the Incidence of Age-Related Vertebral Fragility Fracture

BACKGROUND

Vertebral fragility fracture (VFF) is a common fracture related to osteoporosis. However, VFF might be asymptomatic and often occurs in patients without osteoporosis. Therefore, we investigated the characteristics of age-related VFF and their correlation with bone mineral density (BMD). Furthermore, we analyzed other factors affecting VFF.

METHODS

Medical records from a single center were retrospectively reviewed for 2,216 patients over 50 years old with vertebral fractures conservatively treated from 2005 to 2016. Patients' age, gender, body mass index (BMI), BMD, fracture level, previous vertebral fractures, and anti-osteoporosis medications were obtained. Patients were divided into fragility/non-fragility groups and age sub-groups. The odds ratio for VFF in relation to BMD was evaluated. We also identified other predictive factors for VFF by age groups.

RESULTS

The fragility group had a higher women ratio, older age, lower BMI, lower BMD, and greater incidence of previous vertebral fractures than the non-fragility group. VFFs were seen in 41.18% of normal BMD patients aged 50-59 and 67.82% of those aged 60-69. The proportion of VFFs increased with age in all WHO osteoporosis classifications. Patients with osteopenia and osteoporosis were 1.57 and 2.62 fold more likely to develop VFFs than normal BMD. In the younger group (under 70), age, women, BMD, and previous vertebral fracture were significant factors affecting VFF, and in the older group (70 and over), age, women, and BMD were factors. In the fragility group, anti-osteoporosis medication rates were 25.08% before and 45.96% after fracture.

CONCLUSION

Considerable VFFs occurred in the younger age groups without osteoporosis and age itself was another important predictor of VFF especially in older age groups. The discrepancy between the incidence of VFF and BMD suggests the necessity of supplemental screening factors and anti-osteoporosis treatment guidelines using only BMD should be reconsidered.

Osteoporotic vertebral fractures: A diagnostic challenge in the 21st century

Vertebral fractures are the most prevalent osteoporotic fractures and are paradoxically the most underdiagnosed. While only one-third of patients have acute pain, they can present other associated chronic complications. Vertrebal fractures are associated with the onset of new fractures, both vertebral and nonvertebral. Radiography of the dorsal-lumbar spine is a useful tool for detecting them but depends on the subjective interpretation of the physician conducting the assessment. New techniques, such as vertebral morphometry, have recently demonstrated greater efficacy in detecting v vertebral fractures and are performed concomitantly with bone densitometry. Knowing how to identify vertebral fractures is essential for the secondary prevention of new fractures and improving our patients' quality of life.

Recognizing osteoporotic vertebral deformity on frontal view radiograph: a cohort analysis and a pictorial review

PURPOSE

Opportunities exist to detect osteoporotic vertebral deformities (VDs) on frontal radiograph (FR) indicated for lung or abdominal diseases, while literature have been mostly based on lateral radiograph (LR). This study analyzed the detectability of moderate and severe grades VD on FR.

METHODS

There were 105 female cases (mean 72 years, range 55~93 year), who were referred for digital spine FR and LR with back and/or leg pain. The LR and FR were read, osteoporotic VDs with < 20%, 20-25%, 25-40%, and > 40% vertebral body height loss were recorded as minimal, mild, moderate, and severe grades, respectively. After a 10-month interval, only FRs were read again, and each vertebra was classified as (1) no notable VD, (2) with notable VD, and (3) ambiguous. The first reading was the reference, while the second reading was allowed to miss minimal/mild VCD and endplate/cortex fracture.

RESULTS

Counting by subjects, for 98 cases, the two reading sessions had agreement, including 43 "true negative" cases and 55 true positive cases. There were two false positive cases, and five ambiguous cases. In total, 1286 vertebra were assessed, FR reading had 1126 vertebrae "true negative," 130 vertebrae true positive, one vertebra false negative, 3 vertebrae false positive, and 26 ambiguous vertebrae (65.4% being true negative and 34.6% being true positive). Most of the disagreements were associated with kyphosis or poor X-ray projection. Nineteen illustrative cases are presented graphically.

CONCLUSION

Moderate and severe grades of VD are identifiable on FR as long as the involved vertebrae are clearly filmed.

A systematic review of the Irish osteoporotic vertebral fracture literature

INTRODUCTION

Vertebral fractures (VF) are the most common osteoporotic fracture. They are associated with significant morbidity and mortality and are an important predictor of future fractures. The epidemiology of VF in Ireland is limited and a greater understanding of their scale and impact is needed. Therefore, we conducted a systematic review of publications on osteoporotic VF in Ireland.

METHODS

Systematic searches were conducted using PubMed, Medline, Embase, Scopus and Cochrane electronic databases to identify eligible publications from Ireland addressing osteoporotic VF.

RESULTS

Twenty studies met the inclusion criteria out of 1558 citations. All studies were published since 2000. Data was obtained on 182,771 patients with fractures. Nine studies included more than 100 subjects and three included more than 1000. Females accounted for 70% with an overall mean age of 65.2 years (30-94). There was significant heterogeneity in study design, methods and outcome measures including the following: use of administrative claims data on public hospital admissions, surgical and medical interventions, the impact of a fracture liaison service and the osteoporosis economic burden. The prevalence of VF was difficult to ascertain due to definitions used and differences in the study populations. Only two studies systematically reviewed spine imaging using blinded assessors and validated diagnostic criteria to assess the prevalence of fractures in patient cohorts.

CONCLUSIONS

Several studies show that VF are common when addressed systematically and the prevalence may be rising. However, there is a deficit of large studies systematically addressing the epidemiology and their importance in Ireland.