ObjectiveTo develop and evaluate an O-RADSbased multiparametric model integratingcontrast-enhanced US （CEUS） and the z-score standardized risk of ovarian malignancy algorithm （ROMA z-score） to improve the diagnostic accuracy for differentiating benign， borderline， and malignant ovarian epithelial tumors （OETs）. MethodsThis retrospective study included 129 patients with pathologically confirmed OETs between May 2018 and December 2024. Clinical variables （age， menopausal status， BMI， HE4， CA125） and sonographic features （conventional US and CEUS） were collected. Tumors were classified as benign， borderline， or malignant according to pathological findings. A random forest algorithm was used to contruct the predictive model. Receiver operating characteristic （ROC） curves were generated tocompare the diagnostic performance of O-RADS， O-RADS+CEUS， O-RADS+ROMA z-score， and O-RADS+ CEUS+ROMA z-score. ResultsAmong the 129 patients， 63 had benign tumors， 25 had borderline tumors， and 41 had malignant tumors. Compared with O-RADS alone， the combined O-RADS+CEUS+ROMA z-score model demonstrated superior diagnostic performance， with an AUC of 0.87 （95% CI： 0.79-0.95） vs. 0.64 （95% CI： 0.51-0.76）， P＜0.001， for differentiating benign from borderline tumors， and 0.90 （95% CI： 0.83-0.97） vs. 0.64 （95% CI： 0.50-0.78）， P＜0.001， for differentiating borderline from malignant tumors. The random forest analysis identified HE4， CA125 and CEUS features as the most important predictors，contributing 11.02， 8.82， 18.1 points， respectively， to the total importance score of 51.94. In the test cohort， the model achieved an overall diagnostic accuracy of 72.97%， with an AUC of 0.89（95%CI：0.77-1.00）， sensitivity of 67.06%， and specificity of 85.01%. ConclusionsO-RADS+CEUS+ROMA z-score multiparametric model demonstrated the highest diagnostic performance for in differentiating benign from borderline and borderline from malignant OETs. HE4， CA125 and CEUS features were identified as key predictive risk factors， supporting the role of this model in improving preoperative risk stratification of OETs.

Nitrogen dioxide(NO 2)is a prevalent air pollutant that poses significant threats to the environment and human health,emphasizing the urgent need for high-performance NO 2 sensors for effective environmental monitoring at room temperature.Sensors based on metal halide perovskites have emerged as promising candidates for gas detection at room temperature,but their long-term stability remains a major challenge.In this study,a methylamine thiocyanate(MT)-doped FA 0.8Cs 0.2PbI 2Br(PVK)gas sensor(MT-PVK)was prepared using a simple one-step spin-coating method and ethyl acetate(EA)anti-solvent extraction technique.The crystalline structure,chemical composition,and particle morphology of the MT-PVK thin film were characterized.The MT-PVK thin film was then utilized as a gas sensor for NO 2 detection at room temperature.The results demonstrated that the sensor exhibited outstanding selectivity and reversibility at low concentrations of NO 2 gas,with a detection limit as low as 33 ppb(10-9,nL/L).For 10 ppm(10-6,μL/L)NO 2,the sensor showed rapid response and recovery time of only 1.6 s and 27 s,outperforming most traditional metal oxide NO 2 sensors.Furthermore,compared to the original PVK,the MT molecules significantly enhanced the structural and sensing stability of the MT-PVK sensor under high humidity conditions(55%±5%).These findings suggested that MT-doped FA 0.8Cs 0.2PbI 2Br perovskite gas sensors offered a promising pathway for the development of rapid-response gas sensing technologies suitable for room temperature operation.

Objective To investigate whether successful percutaneous coronary intervention(PCI)could improve symptoms and quality of life(QOL)in left main disease and/or 3-vessel disease patients with diabetes.Methods Patients with left main disease and/or 3-vessel disease who underwent PCI in the First Affiliated Hospital of Air Force Medical University from April 2018 to May 2021 were consecutively enrolled and subdivided into 2 groups:diabetes and no diabetes.Detailed baseline characteristics,symptoms,including dyspnea and angina,assessed with the Rose dyspnea scale(RDS),Seattle angina questionnaire(SAQ),the European quality of life-5 dimensions(EQ-5D)and 12-item short-form health survey(SF-12)questionnaire respectively,procedural details,and 1 month and 1 year follow-up data were collected.Results Among 440 left main disease and/or 3-vessel disease patients,disease was present in 176(40.00％),who had more hypertension,peripheral artery disease,and LCX lesion(all P＜0.05).The incidence of major adverse cardiovascular events(MACE)and all-cause mortality were similar between the two groups(both P＞0.05)at 1 month follow-up,while all-cause mortality in diabetes patients was significantly higher than those without diabetes at 1 year follow-up(P=0.013).Low left ventricular ejection fraction was an independent risk factor for MACE and all-cause mortality at 1 month and 1 year follow-up after successful revascularization(all P＜0.05).Most importantly,symptoms,including dyspnea and angina,and QOL were markedly improved regardless of diabetes both at 1 month and 1 year follow-up(all P＜0.05).Diabetes patients showed improved dyspnea and QOL at similar degree to the non-diabetes patients(all P＞0.05)and a more significantly relieved angina(P=0.013).Additionally,the number of chronic total occlusion(CTO)per patient was identified as an independent risk factor of dyspnea(OR 0.723,95％CI 0.525～0.997,P=0.048)and angina relief(OR 0.686,95％CI 0.473～0.995,P=0.047),and the contrast volume(OR 0.995,95％CI 0.992～0.999,P=0.008)as an independent risk factor of QOL improvement in diabetic patients.Conclusions Successful PCI is beneficial for relieving symptoms and improving quality of life in patients with diabetes who have left main disease and/or 3-vessel disease.

Objective:To construct a medical education metaverse based on cloudytization virtual reality (VR) technique,so as to resolve various issues encountered with conventional VR devices in use process,and enhance the user's experience and teaching effect of virtual space education. Methods:The technical architecture of the medical education metaverse was conducted from the perspectives included the underlying technique layer,learning interface layer,teaching activity space and knowledge layer. The medical education mateverse,which based on cloudytization VR technique,was constructed,and the system performance and user's experience were optimized from a supporting environment included the content layer,platform layer,cloud computing layer,network layer and terminal layer. Results:The medical students could conduct practical operation in virtual environment at any time and any place by the deployment approach on cloudy terminal and lightweight devices. The efficient and convenient cross-disciplinary collaborative learning was convenient for students to acquire knowledge from multiple perspectives,to better response complex medical environments. The real-time interactive remote medical approach expanded the boundaries of medical education,and ensured equity and inclusivity in medical education. Conclusion:The application of medical education metaverse based on cloudytization VR technique in medical teaching can effectively reduce the application threshold of medical education metaverse,and expand the coverage of educational resources of high quality,and enhance the use experience of teaching of the virtual space of medical education based on VR,and meet the demands of medical teaching for diverse application scenarios.

Objective:To explore the possibility of using a inferior gluteal artery perforator flap (IGAPF) for breast reconstruction in the patient who did not have suitable donor site in back and abdomen.Methods:In November 2024, a 25-year-old unmarried and childless woman with right breast cancer received immediate right breast reconstruction by a right free IGAPF after modified right mastectomy in the Department of Breast and Thyroid Surgery, Second Affiliated Hospital of Hainan Medical University. The locations of perforators were confirmed by both Multi-detector computed tomography angiography (MDCTA) and portable Doppler blood flow detector before surgery. The IGAPF was designed to take the inferior gluteal wrinkle as the lower edge, the axis of the flap was parallel to the inferior gluteal wrinkle, and the width of the flap was estimated where the incision could be directly closed. The size of right IGAPF was 6.0 cm×19.0 cm. Sharp dissection was performed between the sarcolemma and muscle fibres of gluteus, then the perforators were dissected along the direction of muscle fibres of gluteus. The vascular pedicle was kept at about 8.0 cm in length. The diameter of artery was about 2.0 mm and that for the veins was about 1.5 mm. End-to-end anastomoses with the right thoracodorsal artery and vein were successfully carried out. The donor site was directly closed, and it was hidden in the inferior gluteal wrinkle. Postoperative outpatient clinical review was made.Results:Pathological examination reported: an invasive carcinoma of right breast, axillary lymph node metastasis (2/10). The patient recovered well and the flap survived without any complication, i.e. ischemic necrosis, infection and haematoma. The patient was off-bed at 3 days and discharged at 13 days after surgery. At the 40 days of postoperative follow-up, the patient achieved a good recovery and the lower limb activity was not affected by the surgery. The patient was satisfied with the reconstructed breast and donor site recovery. The patient followed with scheduled chemotherapy and subsequent radiotherapy. The volume of reconstructed breast was smaller than the other breast, of which the patient was fully informed before the surgery.Conclusion:A free IGAPF provides an alternative donor sites for achieving a breast reconstruction due to the reliable pedicle vessels and invisible donor scars.

Neurosyphilis is a group of clinical syndromes caused by treponema pallidum invading the central nervous system and causing varying degrees of damage to the brain parenchyma, brain (spinal) membrane or spinal cord. Cerebral syphilitic gumma is the rarest form of neurosyphilis, and its clinical manifestations lack specificity, which is easily confused with other intracranial space occupying lesions on imaging. In this article, a patient with cognitive dysfunction, intracranial hypertension, and imaging findings similar to multicentric glioma was diagnosed as cerebral syphilitic gumma by serology, cerebrospinal fluid test and brain histopathology. The symptoms basically disappeared after treatment with standard penicillin. This report aims to raise awareness of cerebral syphilitic gumma in order to reduce missed diagnosis and misdiagnosis.

Objective:To investigate the diagnosis, treatment, and prognosis of primary pancreatic signet-ring cell carcinoma (SRCC).Methods:A retrospective analysis was conducted on clinical data of 11 patients with pathologically confirmed SRCC treated at the Women and Children's Hospital Affiliated to Qingdao University and the Affiliated Hospital of Qingdao University between 2002 and 2024. The cohort included 10 male and 1 female patients, aged (65.6±9.2) years. Data on gender, age, clinical manifestations, biochemical markers, tumor biomarkers, surgical approaches, postoperative pathology, adjuvant the-rapy, and treatment outcomes were recorded. Postoperative survival was assessed via outpatient records and telephone follow-ups.Results:Among the 11 patients, all 10 male patients had a long-term smoking his-tory. Initial symptoms included epigastric pain (5 cases), jaundice (2 cases), postprandial upper abdominal discomfort (3 cases), and persistent hyperglycemia (1 case). Elevated total bilirubin with increased alanine transaminase and aspartate transaminase was observed in 4 cases, while 7 cases had normal liver function. Tumor biomarker profiles showed elevated carcinoembryonic antigen (CEA) alone in 2 cases, elevated carbohydrate antigen 19-9(CA 19-9) alone in 6 cases, concurrent elevation of CEA and CA19-9 in 2 cases, and normal tumor markers in 1 case. Tumor locations included the pancreatic head (8 cases) and pancreatic body/tail (3 cases). All patients underwent radical resection without major perioperative complications. Immunohistochemistry revealed perineural invasion (+ ) in 10 cases and Ki-67 ≥ 50% in 9 cases. Six patients received postoperative adjuvant therapy. The median disease-free survival was 14 months, and the median overall survival was 18 months.Conclusion:SRCC lacks specific clinical manifestations and carries a poor prognosis. Radical surgical resection remains the cornerstone of treatment, while adjuvant therapy may improve survival outcomes.

Objective To evaluate the value of coronary CT angiography(CCTA)radiomics machine learning(ML)model combined with pericoronary fat attenuation index(FAI)for predicting coronary plaques progression.Methods Totally 194 patients with CCTA showing coronary plaques and received at least one CCTA review afterwards were retrospectively collected.The annual change value of total plaque burden(△TPB/y)was calculated based on the first and last CCTA to assess plaque progression.All patients were categorized into non-progressive(△TPB/y＜median △TPB/y)and progressive(△ TPB/y≥median △ TPB/y)groups.The patients were divided into training set(n=155)and validation set(n=39)at the ratio of 8∶2.Univariate and multivariate logistic regression analyses were used to screen clinical and primary CCTA related factors for plaque progression,and CCTA model was constructed.Radiomics features were extracted and screened based on primary CCTA to build ML models using random forest(RF),Gaussian process(GP),partial least squares discriminant analysis(PLS-DA),quadratic discriminant analysis(QDA)and support vector machine(SVM)algorithms.The effectiveness of all models was verified in validation set and the optimal ML model was selected.And its combination with CCTA model constructed combined model.The efficacy of each model for predicting coronary plaques progression was evaluated.Results Of 194 cases,97 were in progressive group and 97 were in non-progressive group.The training set included 77 cases of plaques progression and 78 of plaques non-progression,and the validation set included 20 of plaques progression and 19 of plaques non-progression.FAI was the independent predictor of plaque progression(OR=1.08,P＜0.001)and CCTA model was constructed.Ten optimal radiomics features based on training set were selected to build RF,GP,PLS-DA,QDA and SVM models.The area under the curve(AUC)of RF model in training set and validation set were both high,was considered as the optimal ML model.The AUC of CCTA,RF and combined models in training set was 0.684,0.847 and 0.861,respectively,while was 0.629,0.768 and 0.821 in validation set,respectively.Conclusion CCTA radiomics ML model combined with FAI could effectively predict coronary plaques progression.

BACKGROUND:With the increasing attention of scholars at home and abroad to children's cervical spine-related diseases,the demand for exploring the anatomical indicators and changes of cervical spine morphology and development in children of different ages is increasing.OBJECTIVE:To explore and analyze the morphological changes of children with different ages and vertebral sequences by measuring the anatomical position indexes of C2-C7 neurocentral synchondrosis in children aged 1-6 years.METHODS:Normal cervical spine CT images were retrospectively collected from 160 children aged 1-6 years at provincial tertiary hospitals.They were divided into six groups according to an age group of 1 year.The raw data of consecutively scanned cervical spine tomography images were imported into Mimics 16.0 software.The positional anatomical indexes of cervical spine segments C2-C7 in coronal and transverse planes were measured and analyzed under the two-dimensional image window by choosing the measurement tools under the toolbar of Measurements.RESULTS AND CONCLUSION:(1)The distance between the two sides of C2-C7 neurocentral synchondrosis and the distance between the left and right sides of neurocentral synchondrosis and the transverse process gradually increased with age.The overall development of vertebrae in each cervical vertebral segment was faster than the ossification of the neurocentral synchondrosis.(2)The cross-sectional angles on both sides of C2-C7 neurocentral synchondrosis gradually increased with age,and the angles between the left and right sides of neurocentral synchondrosis and the anterior and posterior edges of the vertebral body gradually decreased.Both sides of the neurocentral synchondrosis in cervical vertebral segments tended to grow toward the arch site,which mainly promoted the growth and development of the arch.(3)Except for C7,the angle between the coronal planes on both sides of the cervical spine changed little with the descending neurocentral synchondrosis of the cervical spine,and the neurocentral synchondrosis of the cervical spine was more inclined to longitudinal growth and ossification.(4)The neurocentral synchondrosis position changes in C7 were significantly different from those in the rest of the cervical vertebrae.(5)The anatomical indexes of C2-C7 neurocentral synchondrosis position in children have obvious development rules among different ages and vertebral bodies,and these rules are helpful for the clinical diagnosis and treatment of cervical spine diseases in children.

Objective:To construct a medical education metaverse based on cloudytization virtual reality (VR) technique,so as to resolve various issues encountered with conventional VR devices in use process,and enhance the user's experience and teaching effect of virtual space education. Methods:The technical architecture of the medical education metaverse was conducted from the perspectives included the underlying technique layer,learning interface layer,teaching activity space and knowledge layer. The medical education mateverse,which based on cloudytization VR technique,was constructed,and the system performance and user's experience were optimized from a supporting environment included the content layer,platform layer,cloud computing layer,network layer and terminal layer. Results:The medical students could conduct practical operation in virtual environment at any time and any place by the deployment approach on cloudy terminal and lightweight devices. The efficient and convenient cross-disciplinary collaborative learning was convenient for students to acquire knowledge from multiple perspectives,to better response complex medical environments. The real-time interactive remote medical approach expanded the boundaries of medical education,and ensured equity and inclusivity in medical education. Conclusion:The application of medical education metaverse based on cloudytization VR technique in medical teaching can effectively reduce the application threshold of medical education metaverse,and expand the coverage of educational resources of high quality,and enhance the use experience of teaching of the virtual space of medical education based on VR,and meet the demands of medical teaching for diverse application scenarios.