The precision diagnosis and treatment of chest wall tumors heavily rely on imaging assessment, which is limited by the subjectivity of conventional methods and their insensitivity to microscopic features. Artificial intelligence (AI) technologies, particularly radiomics and deep learning, offer new opportunities to overcome these bottlenecks. It is important to note, however, that direct AI research focused specifically on chest wall tumors remains scarce. Most current insights are derived from methodological borrowing and conceptual extrapolation of studies on other solid tumors, such as lung, breast, and esophageal cancers. This review systematically outlines the potential application framework of AI in the management of chest wall tumors, encompassing benign-malignant differentiation, non-invasive pathological subtyping, early treatment response prediction, and prognosis stratification based on multi-modal imaging. It discusses the core model-building strategies and validation processes centered on data fusion, and critically analyzes the unique challenges in this field, including data scarcity, model interpretability, and clinical translation. Moving forward, key directions for translating the potential of AI into clinical reality include fostering the development of dedicated chest wall tumor datasets, conducting prospective validation studies, and exploring "imaging-genomics" integration as well as dynamic decision-support systems.

In recent years, with the improvement of people's awareness of physical examination and the more accurate detection equipment, the detection rate of pulmonary nodules is getting higher and higher. Surgical resection is the first choice for the treatment of malignant pulmonary nodules, but multiple pulmonary nodules, nodules in complex areas and those with surgical contraindications are not suitable for surgery. As an effective, less invasive and low-cost treatment, ablation has developed rapidly in the treatment of multiple pulmonary nodules. This article introduces the progress of several common ablation techniques (radiofrequency ablation, microwave ablation, cryoablation) in the treatment of multiple pulmonary nodules, the indications and contraindications of ablation techniques, the efficacy evaluation and complications after ablation therapy, and the prospects of ablation techniques in the treatment of multiple pulmonary nodules.

Periodontitis is a globally prevalent inflammatory oral disease, affecting approximately 50% of the population worldwide and imposing a substantial burden on patients′ health and quality of life. Early and accurate diagnosis is critical for preventing disease progression; however, conventional diagnostic approaches often rely on subjective clinical assessments, which only primarily evaluate the cumulative state of the disease, thus limiting their ability to achieve precise early detection. In recent years, the rapid advancement of artificial intelligence (AI) in medical diagnostics has demonstrated significant promise, particularly through the integration of multimodal data to enable more comprehensive information capture and analysis. Multimodal data fusion, which combines diverse inputs such as imaging, clinical parameters, and biomarkers, offers transformative potential for AI-powered periodontitis diagnostics. This innovative approach aims to overcome the limitations of traditional methods, significantly enhancing diagnostic accuracy and predictive capabilities. This manuscript reviews the primary diagnostic techniques for periodontitis, explores recent advances in AI applications within this domain, and emphasizes the potential of multimodal data in facilitating precision diagnosis. Furthermore, it provides new insights and supports for personalized treatment strategies.

Objective To observe conventional ultrasound and contrast-enhanced ultrasound(CEUS)manifestations of Ewing sarcoma(ES)in children.Methods Fifteen children with pathologically confirmed ES were retrospectively collected.Conventional ultrasound and CEUS characteristics of lesions were analyzed.Results Among 15 cases,ES of bone(ESB)was found in 7 cases,while extraskeletal ES(EES)was observed in the other 8 cases.Solitary tumor was noticed in 14 cases,with a median maximum diameter of 7.50 cm,while multiple abdominal masses were found in 1 case.The tumors had irregular shapes and poorly defined boundaries,with medium echogenicity in 7 cases,low echogenicity in 6 cases,while in other 2 cases present as cystic-solid lesions.CDFI showed sparse blood flow in 11 cases,abundant or slightly abundant blood flow in 2 and 1 case,respectively,while no obvious blood flow was observed in 1 case.Rapid high enhancement and rapid washout were found in all 7 cases underwent CEUS,while patchy no-enhancement areas were detected in 4 cases.Conclusion Conventional ultrasonic manifestations of ES had certain specificities,which demonstrated a rapid enhancement and rapid washout pattern during CEUS and may be accompanied by necrosis.

Periodontitis is a globally prevalent inflammatory oral disease, affecting approximately 50% of the population worldwide and imposing a substantial burden on patients′ health and quality of life. Early and accurate diagnosis is critical for preventing disease progression; however, conventional diagnostic approaches often rely on subjective clinical assessments, which only primarily evaluate the cumulative state of the disease, thus limiting their ability to achieve precise early detection. In recent years, the rapid advancement of artificial intelligence (AI) in medical diagnostics has demonstrated significant promise, particularly through the integration of multimodal data to enable more comprehensive information capture and analysis. Multimodal data fusion, which combines diverse inputs such as imaging, clinical parameters, and biomarkers, offers transformative potential for AI-powered periodontitis diagnostics. This innovative approach aims to overcome the limitations of traditional methods, significantly enhancing diagnostic accuracy and predictive capabilities. This manuscript reviews the primary diagnostic techniques for periodontitis, explores recent advances in AI applications within this domain, and emphasizes the potential of multimodal data in facilitating precision diagnosis. Furthermore, it provides new insights and supports for personalized treatment strategies.

The three-dimensional (3D) printed bone tissue repair guide scaffold is considered a promising method for treating bone defect repair. In this experiment, chitosan (CS), sodium alginate (SA), and mineralized collagen (MC) were combined and 3D printed to form scaffolds. The experimental results showed that the printability of the scaffold was improved with the increase of chitosan concentration. Infrared spectroscopy analysis confirmed that the scaffold formed a cross-linked network through electrostatic interaction between chitosan and sodium alginate under acidic conditions, and X-ray diffraction results showed the presence of characteristic peaks of hydroxyapatite, indicating the incorporation of mineralized collagen into the scaffold system. In the in vitro collagen release experiments, a weakly alkaline environment was found to accelerate the release rate of collagen, and the release amount increased significantly with a lower concentration of chitosan. Cell experiments showed that scaffolds loaded with mineralized collagen could significantly promote cell proliferation activity and alkaline phosphatase expression. The subcutaneous implantation experiment further verified the biocompatibility of the material, and the implantation of printed scaffolds did not cause significant inflammatory reactions. Histological analysis showed no abnormal pathological changes in the surrounding tissues. Therefore, incorporating mineralized collagen into sodium alginate/chitosan scaffolds is believed to be a new tissue engineering and regeneration strategy for achieving enhanced osteogenic differentiation through the slow release of collagen.
Chitosan/chemistry* ; Alginates/chemistry* ; Tissue Scaffolds/chemistry* ; Printing, Three-Dimensional ; Osteogenesis ; Collagen/chemistry* ; Cell Differentiation ; Animals ; Tissue Engineering/methods* ; Cell Proliferation ; Biocompatible Materials ; Glucuronic Acid/chemistry* ; Hexuronic Acids/chemistry*

BACKGROUND:Previous studies have indicated that cathepsin K can intervene with the occurrence and development of osteoporosis by regulating bone mineral density in middle-aged and older adults. However,whether there is a causal relationship between the cathepsin family and bone mineral density in other populations remains unknown. OBJECTIVE:To investigate the causal relationship between cathepsin and bone mineral density.METHODS:Genetic loci associated with eight cathepins were extracted from the IEU Open GWAS database as instrumental variables,and bone mineral density values in five age groups acted as an outcome. The causal relationship between cathepin and bone mineral density was assessed by two-way Mendelian randomization analysis. Heterogeneity of the genetic instrumental variables was assessed using Cochran's Q test,pleiotropy was assessed using the MR-Egger intercept test,and the sensitivity of single nucleotide polymorphisms used as instrumental variables to the causal effect of exposure and outcome was assessed using the leave-one-out method. RESULTS AND CONCLUSION:The results of the inverse variance weighting method with positive Mendelian randomization showed that cathepin H was negatively associated with bone mineral density in people aged 45-60 years[odds ratio (95％ confidence interval)=0.965(0.94-0.99),P=0.04];cathepin Z was negatively associated with bone mineral density in people aged 30-45 year[odds ratio (95％ confidence interval)=1.06 (1.00-1.11),P=0.03]. The results of sensitivity analysis showed a stable causal relationship,and MR-Egger intercept analysis did not detect potential horizontal pleiotropy. The inverse Mendelian randomization results showed that bone mineral density had no significant inverse effect on cathepin. The above results confirm that cathepin can affect bone mineral density in some age groups,which may increase the risk of osteoporosis and should be given more attention.

Objective To observe conventional ultrasound and contrast-enhanced ultrasound(CEUS)manifestations of Ewing sarcoma(ES)in children.Methods Fifteen children with pathologically confirmed ES were retrospectively collected.Conventional ultrasound and CEUS characteristics of lesions were analyzed.Results Among 15 cases,ES of bone(ESB)was found in 7 cases,while extraskeletal ES(EES)was observed in the other 8 cases.Solitary tumor was noticed in 14 cases,with a median maximum diameter of 7.50 cm,while multiple abdominal masses were found in 1 case.The tumors had irregular shapes and poorly defined boundaries,with medium echogenicity in 7 cases,low echogenicity in 6 cases,while in other 2 cases present as cystic-solid lesions.CDFI showed sparse blood flow in 11 cases,abundant or slightly abundant blood flow in 2 and 1 case,respectively,while no obvious blood flow was observed in 1 case.Rapid high enhancement and rapid washout were found in all 7 cases underwent CEUS,while patchy no-enhancement areas were detected in 4 cases.Conclusion Conventional ultrasonic manifestations of ES had certain specificities,which demonstrated a rapid enhancement and rapid washout pattern during CEUS and may be accompanied by necrosis.

BACKGROUND:Previous studies have indicated that cathepsin K can intervene with the occurrence and development of osteoporosis by regulating bone mineral density in middle-aged and older adults. However,whether there is a causal relationship between the cathepsin family and bone mineral density in other populations remains unknown. OBJECTIVE:To investigate the causal relationship between cathepsin and bone mineral density.METHODS:Genetic loci associated with eight cathepins were extracted from the IEU Open GWAS database as instrumental variables,and bone mineral density values in five age groups acted as an outcome. The causal relationship between cathepin and bone mineral density was assessed by two-way Mendelian randomization analysis. Heterogeneity of the genetic instrumental variables was assessed using Cochran's Q test,pleiotropy was assessed using the MR-Egger intercept test,and the sensitivity of single nucleotide polymorphisms used as instrumental variables to the causal effect of exposure and outcome was assessed using the leave-one-out method. RESULTS AND CONCLUSION:The results of the inverse variance weighting method with positive Mendelian randomization showed that cathepin H was negatively associated with bone mineral density in people aged 45-60 years[odds ratio (95％ confidence interval)=0.965(0.94-0.99),P=0.04];cathepin Z was negatively associated with bone mineral density in people aged 30-45 year[odds ratio (95％ confidence interval)=1.06 (1.00-1.11),P=0.03]. The results of sensitivity analysis showed a stable causal relationship,and MR-Egger intercept analysis did not detect potential horizontal pleiotropy. The inverse Mendelian randomization results showed that bone mineral density had no significant inverse effect on cathepin. The above results confirm that cathepin can affect bone mineral density in some age groups,which may increase the risk of osteoporosis and should be given more attention.

Objective:To evaluate the safety and efficacy of intravenous tirofiban in stent-assisted embolization of acute ruptured intracranial aneurysms.Methods:A total of 286 patients with acute ruptured intracranial aneurysms who received stent-assisted embolization in Department of Neurosurgery, Linyi People's Hospital from January 2020 to September 2022 were enrolled. According to different preoperative antiplatelet regiments, they were divided into aspirin combined with double resistant group (preoperatively taking orally loading dose of aspirin and clopidogrel, n=167) and tirofiban group (intravenously injecting tirofiban, n=119). Propensity score matching (PSM) was used to adjust for potential differences in age, gender, Hunt-Hess grading, hypertension history, diabetes history, smoking history, aneurysm location, aneurysm neck, aneurysm body-neck ratio, and stent types; incidences of perioperative hemorrhagic and ischemic complications, and neurological recovery status at discharge (scores of modified Rankin scale [mRS]≤2 as good recovery) were compared between the two groups. Results:After 1:1 PSM, 96 patients were included in each group. No significant difference in incidence of hemorrhagic complications was noted between the double resistant group (2.1%) and tirofiban group (0.0%, P>0.05). No significant difference in incidence of ischemic complications was noted between the double resistant group (9.3%, including 8 with intraoperative thrombosis and 1 with postoperative infarction) and tirofiban group (7.2%, including 6 with intraoperative thrombosis and 1 with postoperative infarction, P>0.05). No significant difference in good recovery rate at discharge was noted between double resistant group (86.4%) and tirofiban group (90.6%, P>0.05). Conclusion:In stent-assisted embolization therapy for acute ruptured intracranial aneurysms, preoperative intravenous tirofiban enjoys the same safety and efficacy compared with preoperative oral loading dose of aspirin and clopidogrel.