Electromagnetic fields can regulate the fundamental biological processes involved in bone remodeling. As a non-invasive physical therapy, electromagnetic fields with specific parameters have demonstrated therapeutic effects on bone remodeling diseases, such as fractures and osteoporosis. Electromagnetic fields can be generated by the movement of charged particles or induced by varying currents. Based on whether the strength and direction of the electric field change over time, electromagnetic fields can be classified into static and time-varying fields. The treatment of bone remodeling diseases with static magnetic fields primarily focuses on fractures, often using magnetic splints to immobilize the fracture site while studying the effects of static magnetic fields on bone healing. However, there has been relatively little research on the prevention and treatment of osteoporosis using static magnetic fields. Pulsed electromagnetic fields, a type of time-varying field, have been widely used in clinical studies for treating fractures, osteoporosis, and non-union. However, current clinical applications are limited to low-frequency, and research on the relationship between frequency and biological effects remains insufficient. We believe that different types of electromagnetic fields acting on bone can induce various “secondary physical quantities”, such as magnetism, force, electricity, acoustics, and thermal energy, which can stimulate bone cells either individually or simultaneously. Bone cells possess specific electromagnetic properties, and in a static magnetic field, the presence of a magnetic field gradient can exert a certain magnetism on the bone tissue, leading to observable effects. In a time-varying magnetic field, the charged particles within the bone experience varying Lorentz forces, causing vibrations and generating acoustic effects. Additionally, as the frequency of the time-varying field increases, induced currents or potentials can be generated within the bone, leading to electrical effects. When the frequency and power exceed a certain threshold, electromagnetic energy can be converted into thermal energy, producing thermal effects. In summary, external electromagnetic fields with different characteristics can generate multiple physical quantities within biological tissues, such as magnetic, electric, mechanical, acoustic, and thermal effects. These physical quantities may also interact and couple with each other, stimulating the biological tissues in a combined or composite manner, thereby producing biological effects. This understanding is key to elucidating the electromagnetic mechanisms of how electromagnetic fields influence biological tissues. In the study of electromagnetic fields for bone remodeling diseases, attention should be paid to the biological effects of bone remodeling under different electromagnetic wave characteristics. This includes exploring innovative electromagnetic source technologies applicable to bone remodeling, identifying safe and effective electromagnetic field parameters, and combining basic research with technological invention to develop scientifically grounded, advanced key technologies for innovative electromagnetic treatment devices targeting bone remodeling diseases. In conclusion, electromagnetic fields and multiple physical factors have the potential to prevent and treat bone remodeling diseases, and have significant application prospects.

Objective: To investigate the incidence of postoperative neurological complications among patients who underwent spinal deformity surgery and to determine the significant risk factors for postoperative neurological complications. Methods: Six databases PubMed, Web of Science, Scopus, MEDLINE, Embase, and Cochrane Library have been searched to identify observational studies from inception until January 2025. Inclusion criteria were patients aged ≥10 years with postoperative neurological complications after spinal deformity surgery. Stata/MP18.0 was used to conduct the meta-analysis in this review. The summary incidence estimates, proportion with 95% confidence intervals (CIs) and weights were pooled by the random-effects restricted maximum likelihood model. Results: The search strategy identified 53 articles with 40,958 patients for final review. Overall incidence of postoperative neurological complications was 7% (95% CI, 5.0%–9.0%; p < 0.001; I2 = 98.34%) in which incidence estimates for patients with adult spinal deformity and underwent 3-column spinal osteotomies were 12% (95% CI, 9%–16%; p < 0.001; I2 = 93.17%) and 18% (95% CI, 8%–31%; p < 0.001; I2 = 94.68%) respectively. Preoperative neurological deficit was the risk factor with highest overall odds ratio (OR, 2.86; 95% CI, 1.85–4.41; p = 0.01; I2 = 76.20%), followed by the presence of kyphosis (OR, 1.13; 95% CI, 0.75–1.70; p = 0.02; I2 = 81.80%) and age at surgery (OR, 1.04; 95% CI, 1.01–1.08; p = 0.04; I2 = 68.80%). Conclusion Preoperative neurological deficit, the presence of kyphosis and age at surgery were significant risk factors for postoperative neurological complications. Therefore, comprehensive preoperative assessment and surgical planning are crucial to minimize the risk of developing postoperative neurological complications or the deterioration of pre-existing neurologic deficits.

Objective: To investigate the incidence of postoperative neurological complications among patients who underwent spinal deformity surgery and to determine the significant risk factors for postoperative neurological complications. Methods: Six databases PubMed, Web of Science, Scopus, MEDLINE, Embase, and Cochrane Library have been searched to identify observational studies from inception until January 2025. Inclusion criteria were patients aged ≥10 years with postoperative neurological complications after spinal deformity surgery. Stata/MP18.0 was used to conduct the meta-analysis in this review. The summary incidence estimates, proportion with 95% confidence intervals (CIs) and weights were pooled by the random-effects restricted maximum likelihood model. Results: The search strategy identified 53 articles with 40,958 patients for final review. Overall incidence of postoperative neurological complications was 7% (95% CI, 5.0%–9.0%; p < 0.001; I2 = 98.34%) in which incidence estimates for patients with adult spinal deformity and underwent 3-column spinal osteotomies were 12% (95% CI, 9%–16%; p < 0.001; I2 = 93.17%) and 18% (95% CI, 8%–31%; p < 0.001; I2 = 94.68%) respectively. Preoperative neurological deficit was the risk factor with highest overall odds ratio (OR, 2.86; 95% CI, 1.85–4.41; p = 0.01; I2 = 76.20%), followed by the presence of kyphosis (OR, 1.13; 95% CI, 0.75–1.70; p = 0.02; I2 = 81.80%) and age at surgery (OR, 1.04; 95% CI, 1.01–1.08; p = 0.04; I2 = 68.80%). Conclusion Preoperative neurological deficit, the presence of kyphosis and age at surgery were significant risk factors for postoperative neurological complications. Therefore, comprehensive preoperative assessment and surgical planning are crucial to minimize the risk of developing postoperative neurological complications or the deterioration of pre-existing neurologic deficits.

Methods: Patients with Lenke 1 AIS undergoing posterior spinal fusion were included. Standing and fulcrum bending radiographs on the coronal and sagittal planes were analyzed at preoperative, immediate, and 2-year postoperative periods. The primary outcome was postoperative hypokyphosis (T5–12 thoracic kyphosis [TK] <20°). Risk factors for postoperative hypokyphosis were identified by multivariate logistic regression, and the optimal cutoff for significant risk factors was determined by receiver operating characteristic analysis. Results: In total, 156 patients were included in the analysis, of which 68 (43.6%) were hypokyphotic at 2-year follow-up. Low T5–12 TK on lateral view fulcrum bending films (immediate postoperative odds ratio [OR], 0.870; 95% confidence interval [CI], 0.826–0.917; 2-year postoperative OR, 0.916; 95% CI, 0.876–0.959; p<0.001) and high convex side implant density (2-year postoperative OR, 1.749; 95% CI, 1.056–2.897; p=0.03) were significant risk factors for postoperative hypokyphosis. Other baseline demographic and surgical factors did not affect postoperative kyphosis correction. The T5–12 TK cutoff on fulcrum bending for 2-year postoperative hypokyphosis was 12.45° (area under the curve, 0.773; 95% CI, 0.661–0.820). Conclusions Fulcrum bending radiography is useful in assessing coronal and sagittal flexibility for preoperative planning. In patients with T5–12 kyphosis <12.5° on lateral view fulcrum bending radiographs, Ponte osteotomies or releases, or a decrease in convex side implant density should be considered to improve kyphosis restoration and reduce the risk of 2-year postoperative hypokyphosis.

Objective: To investigate the incidence of postoperative neurological complications among patients who underwent spinal deformity surgery and to determine the significant risk factors for postoperative neurological complications. Methods: Six databases PubMed, Web of Science, Scopus, MEDLINE, Embase, and Cochrane Library have been searched to identify observational studies from inception until January 2025. Inclusion criteria were patients aged ≥10 years with postoperative neurological complications after spinal deformity surgery. Stata/MP18.0 was used to conduct the meta-analysis in this review. The summary incidence estimates, proportion with 95% confidence intervals (CIs) and weights were pooled by the random-effects restricted maximum likelihood model. Results: The search strategy identified 53 articles with 40,958 patients for final review. Overall incidence of postoperative neurological complications was 7% (95% CI, 5.0%–9.0%; p < 0.001; I2 = 98.34%) in which incidence estimates for patients with adult spinal deformity and underwent 3-column spinal osteotomies were 12% (95% CI, 9%–16%; p < 0.001; I2 = 93.17%) and 18% (95% CI, 8%–31%; p < 0.001; I2 = 94.68%) respectively. Preoperative neurological deficit was the risk factor with highest overall odds ratio (OR, 2.86; 95% CI, 1.85–4.41; p = 0.01; I2 = 76.20%), followed by the presence of kyphosis (OR, 1.13; 95% CI, 0.75–1.70; p = 0.02; I2 = 81.80%) and age at surgery (OR, 1.04; 95% CI, 1.01–1.08; p = 0.04; I2 = 68.80%). Conclusion Preoperative neurological deficit, the presence of kyphosis and age at surgery were significant risk factors for postoperative neurological complications. Therefore, comprehensive preoperative assessment and surgical planning are crucial to minimize the risk of developing postoperative neurological complications or the deterioration of pre-existing neurologic deficits.

Objective: Patients with severe symptomatic aortic stenosis are assessed for coronary artery disease (CAD) prior to transcatheter aortic valve implantation (TAVI) with treatment implications. Invasive coronary angiography (ICA) is the recommended modality but is associated with peri-procedural complications. Integrating machine learning (ML)-based computed tomography-derived fractional flow reserve (CT-FFR) into existing TAVI-planning CT protocol may aid exclusion of significant CAD and thus avoiding ICA in selected patients. Materials and Methods: A single-center, retrospective study was conducted, 41 TAVI candidates with both TAVI-planning CT and ICA performed were analyzed. CT datasets were evaluated by a ML-based CT-FFR software. Beta-blocker and nitroglycerin were not administered in these patients. The primary outcome was to identify significant CAD. The diagnostic performance of CT-FFR was compared against ICA. Results: On per-patient level, the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and diagnostic accuracy were 89%, 94%, 80%, 97% and 93%, respectively. On per-vessel level, the sensitivity, specificity, PPV, NPV and diagnostic accuracy were 75%, 94%, 67%, 96% and 92%, respectively. The area under the receiver operative characteristics curve per individual coronary vessels yielded overall 0.90 (95% confidence interval 85%–95%). ICA may be avoided in up to 80% of patients if CT-FFR results were negative. Conclusion ML-based CT-FFR can provide accurate screening capabilities for significant CAD thus avoiding ICA. Its integration to existing TAVI-planning CT is feasible with the potential of improving the safety and efficiency of pre-TAVI CAD assessment.

Methods: Patients with Lenke 1 AIS undergoing posterior spinal fusion were included. Standing and fulcrum bending radiographs on the coronal and sagittal planes were analyzed at preoperative, immediate, and 2-year postoperative periods. The primary outcome was postoperative hypokyphosis (T5–12 thoracic kyphosis [TK] <20°). Risk factors for postoperative hypokyphosis were identified by multivariate logistic regression, and the optimal cutoff for significant risk factors was determined by receiver operating characteristic analysis. Results: In total, 156 patients were included in the analysis, of which 68 (43.6%) were hypokyphotic at 2-year follow-up. Low T5–12 TK on lateral view fulcrum bending films (immediate postoperative odds ratio [OR], 0.870; 95% confidence interval [CI], 0.826–0.917; 2-year postoperative OR, 0.916; 95% CI, 0.876–0.959; p<0.001) and high convex side implant density (2-year postoperative OR, 1.749; 95% CI, 1.056–2.897; p=0.03) were significant risk factors for postoperative hypokyphosis. Other baseline demographic and surgical factors did not affect postoperative kyphosis correction. The T5–12 TK cutoff on fulcrum bending for 2-year postoperative hypokyphosis was 12.45° (area under the curve, 0.773; 95% CI, 0.661–0.820). Conclusions Fulcrum bending radiography is useful in assessing coronal and sagittal flexibility for preoperative planning. In patients with T5–12 kyphosis <12.5° on lateral view fulcrum bending radiographs, Ponte osteotomies or releases, or a decrease in convex side implant density should be considered to improve kyphosis restoration and reduce the risk of 2-year postoperative hypokyphosis.