Analysis of adjacent vertebral fracture after percutaneous vertebroplasty: do radiological or surgical features matter?

PURPOSE: To report the incidence and risk factors of adjacent vertebral fracture (AVF) after percutaneous vertebroplasty (PVP) in patients with osteoporotic vertebral compression fractures (OVCFs). We focused to investigate effect of radiological or surgical features on AVF. METHODS: All patients with OVCFs who were treated with PVP between January 2016 and December 2019 were retrospectively reviewed. Patients were followed up at least 12 months after procedure according to treatment protocol. AVF was defined as postoperatively recurrent intractable back pain and subsequently presence of fracture on magnetic resonance imaging (MRI) in adjacent levels. Clinical, radiological, and surgical factors potentially affecting occurrence of AVF were recorded and analyzed using univariate and multivariate analysis. RESULTS: Totally, 1077 patients with 1077 fractured vertebrae who underwent PVP were enrolled in the study, after inclusion and exclusion criteria were met. Mean follow-up time was 24.3 ± 11.9 months (range, 12-59 months). AVF was identified in 98 (9.1%) patients. Univariate analysis showed that seven significant factors related to AVF were older age, non-traumatic fracture, cortical disruption on anterior wall, cortical disruption on lateral wall, basivertebral foramen, type-B leakage and type-C leakage. In multivariate analysis, two clinical factors, older age (P = 0.031) and non-traumatic fracture (P = 0.002), were significantly associated with AVF. However, any radiological or surgical factor did not reach significance in final model analysis. CONCLUSIONS: Incidence of AVF after PVP in patients with OVCFs was 9.1% (98/1077). Older age and non-traumatic fracture were two clinical risk factors for AVF. Neither radiological nor surgical feature was significantly correlated with AVF.

Risk factors for nonunion of osteoporotic vertebral compression fracture: a case‒control study.

BACKGROUND: Early assessment of the risk of nonunion in osteoporotic vertebral compression fracture (OVCF) is beneficial to early clinical decision making. However, a comprehensive understanding of the risk factors for OVCF nonunion is lacking. METHODS: We conducted a case-control study to investigate risk factors for OVCF nonunion. Patients who underwent surgery for nonunited OVCFs between January 2011 and December 2021 were eligible for inclusion as cases. Patients with successful OVCF healing confirmed by MRI over the same period were identified as controls. Patient demographics, comorbidities, and fasting blood test data were extracted for analysis. RESULTS: A total of 201 patients with nonunited OVCFs and 1044 controls were included to evaluate the risk factors for nonunited OVCFs. There were statistically significant differences in sex, age, number of patients with hypertension, number of patients on bed rest after OVCF and T-score of BMD between the two groups. Logistic regression showed that female patients had a higher risk of OVCF nonunion than male patients and that smoking, drinking, diabetes, and hypertension were risk factors for nonunion of OVCFs, while bed rest and spinal support were protective factors against nonunion of OVCFs. We also found that age, BMD, FBG, and ß-CTX were positively correlated with nonunited OVCFs, and that HGB and 1,25-(OH)2VitD3 level were negatively correlated with nonunited OVCFs. CONCLUSION: Smoking, drinking, diabetes and hypertension were risk factors for nonunion of OVCFs, while bed rest and spinal support were protective factors against nonunion of OVCFs. Age, BMD, FBG and ß-CTX were positively correlated with nonunited OVCFs, while HGB and 1,25-(OH)2VitD3 level were negatively correlated with nonunited OVCFs. Based on the results of our study, we suggest that bed rest or spinal support for at least 3 consecutive weeks is necessary to reduce the risk of OVCFs nonunion.

Vertebral compression fractures at abdominal CT: underdiagnosis, undertreatment, and evaluation of an AI algorithm.

Vertebral compression fractures (VCFs) are common and indicate a high future risk of additional osteoporotic fractures. However, many VCFs are unreported by radiologists, and even if reported, many patients do not receive treatment. The purpose of the study was to evaluate a new artificial intelligence (AI) algorithm for the detection of VCFs and to assess the prevalence of reported and unreported VCFs. This retrospective cohort study included patients over age 60 yr with an abdominal CT between January 18, 2019 and January 18, 2020. Images and radiology reports were reviewed to identify reported and unreported VCFs, and the images were processed by an AI algorithm. For reported VCFs, the electronic health records were reviewed regarding subsequent osteoporosis screening and treatment. Totally, 1112 patients were included. Of these, 187 patients (16.8%) had a VCF, of which 62 had an incident VCF and 49 had a previously unknown prevalent VCF. The radiologist reporting rate of these VCFs was 30% (33/111). For moderate and severe (grade 2-3) VCF, the AI algorithm had 85.2% sensitivity, 92.3% specificity, 57.8% positive predictive value, and 98.1% negative predictive value. Three of 30 patients with reported VCFs started osteoporosis treatment within a year. The AI algorithm had high accuracy for the detection of VCFs and could be very useful in increasing the detection rate of VCFs, as there was a substantial underdiagnosis of VCFs. However, as undertreatment in reported cases was substantial, to fully realize the potential of AI, changes to the management pathway outside of the radiology department are imperative.

Vertebral compression fractures (VCFs) are the most common osteoporotic fractures. However, they often go undetected leading to a high risk of further fractures. In this study, we tested a new artificial intelligence (AI) algorithm to detect VCFs in abdominal CT scans in patients over 60 yr of age and assessed how often VCFs were missed by radiologists. We found that VCFs were underreported, with only 30% being identified by the radiologists. The AI algorithm showed promising results and had high accuracy for detecting VCFs. However, many patients with a detected VCF still did not receive treatment. The results suggest that AI could increase the detection rate of VCFs, but also highlight the need for changes beyond radiology to ensure that patients with detected fractures are appropriately treated.

Incidence and risk factors of adjacent vertebral fracture after percutaneous vertebroplasty or kyphoplasty in postmenopausal women: a retrospective study.

Adjacent vertebral fracture (AVF) is a serious complication of percutaneous vertebroplasty (PVP) or kyphoplasty (PKP) for osteoporotic vertebral compression fracture (OVCF). This study aimed to explore the incidence and risk factors of AVF following PVP or PKP in postmenopausal women. The incidence of AVF was determined by spinal radiographic examinations. The potential risk factors of AVF were identified by univariate analysis, followed by multivariate logistic regression analyses to determine the independent risk factors. In total, 674 postmenopausal women who were treated with PVP or PKP from December 2019 to February 2022 were enrolled in the study. Among them, 58 (8.61%) women experienced an AVF following PVP or PKP. After adjusting for confounding factors, BMI (OR [95% CI] 0.863 [0.781-0.952]; p = 0.003), previous history of OVCF (OR [95% CI] 1.931 [1.044-3.571]; p = 0.036), and Hounsfield unit (HU) value (OR [95% CI] 0.979 [0.967-0.990]; p < 0.001) were found to be independent risk factors of AVF following PVP or PKP in postmenopausal women. The ROC analysis revealed that the BMI and HU thresholds were 21.43 and 65.15, respectively. In conclusion, the incidence of AVF was 8.61%. BMI, previous history of OVCF and HU value were independent risk factors of AVF following PVP or PKP in postmenopausal women.

The Closer Vicinity to Treated Vertebrae in Percutaneous Vertebroplasty, the Higher Rate of New Vertebral Compression Fractures at Follow-up.

OBJECTIVE: To investigate whether risk of new vertebral compression fractures (NVCFs) was associated with vicinity to treated vertebrae in percutaneous vertebroplasty (PVP) for osteoporotic vertebral compression fractures (OVCFs). METHODS: All OVCF (T6-L5) patients treated with PVP between January 2016 and December 2020 were retrospectively reviewed. Vicinity to treated vertebrae was defined as the number of vertebrae between an untreated and its closest treated level. The closest treated level was chosen as reference vertebra. Clinical, radiologic, and surgical parameters were compared between groups of reference vertebrae for each vicinity NVCF. RESULTS: In total, 1348 patients with 1592 fractured and 14,584 normal vertebrae were enrolled. NVCF was identified in 20.1% (271 of 1348) patients in 2.2% (319 of 14584) vertebrae in a mean follow-up time of 24.3 ± 11.9 months. Rate of NVCF in vicinity 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, and 11 level were 4.6% (130 of 2808), 2.4% (62 of 2558), 1.8% (42 of 2365), 1.5% (31 of 2131), 1.3% (23 of 1739), 1.3% (17 of 1298), 0.8% (7 of 847), 0.9% (4 of 450), 0.8% (2 of 245), 0.9% (1 of 117), and 0% (0 of 26), respectively. Rate of NVCF in vicinity 1 level was significantly higher than that in vicinity 2, 3, 4, 5, 6, 7, 8, and 9 level, respectively. However, compared to reference vertebrae for vicinity 1 NVCF, any clinical, radiologic, or surgical parameters were not significantly different in those for vicinity 2, 3, and 4 NVCF, respectively. CONCLUSIONS: The closer vicinity to treated vertebrae in PVP, the higher rate of NVCF at follow-up. However, any clinical, radiologic, or surgical parameters might not matter in this phenomenon of vicinity-related NVCF.