Osteoporosis is a major public health concern leading to significant morbidity and mortality, especially in the elderly population. However, this disease is underdiagnosed and, as a result, undertreated. This cross-sectional study aims to determine the knowledge, attitudes and practices (KAP) of physicians in the diagnosis and management of osteoporosis, which would help identify key areas of improvement in the care of patients with this disease. One hundred and nine physicians answered an online questionnaire looking at their KAP on the diagnosis and management of osteoporosis, and their answers were analyzed using descriptive statistics, Pearson’s correlation and the Chi-square test. More than half of the participants obtained satisfactory scores on knowledge, and majority had neutral to positive attitude regarding osteoporosis. A statistically significant correlation was seen between having low knowledge and negative attitudes on osteoporosis screening and management.

Humans ; Thyroid Cancer, Papillary ; Neck/pathology* ; Lymph Nodes/pathology* ; Thyroid Neoplasms/pathology* ; Lymphoma, T-Cell/pathology*

Humans ; Sarcoma ; NFATC Transcription Factors ; RNA-Binding Protein EWS

Objective: To investigate the clinicopathological features of glomuvenous malformation (GVM). Methods: Thirty-one cases of GVM diagnosed at the Henan Provincial People's Hospital from January 2011 to December 2021 were collected. Their clinical and pathological features were analyzed. The expression of relevant markers was examined using immunohistochemistry. The patients were also followed up. Results: There were 16 males and 15 females in this study, with an average age of 11 years (range, 1-52 years). The locations of the disease included 13 cases in the limbs (8 cases in the upper limbs, 5 cases in the lower limbs), 9 cases in the trunks, and 9 cases in the foot (toes or subungual area). Twenty-seven of the cases were solitary and 4 were multifocal. The lesions were characterized by blue-purple papules or plaques on the skin surface, which grew slowly. The lumps became larger and appeared to be conspicuous. Microscopically, GVM mainly involved the dermis and subcutaneous tissue, with an overall ill-defined border. There were scattered or clustered irregular dilated vein-like lumens, with thin walls and various sizes. A single or multiple layers of relatively uniform cubic/glomus cells were present at the abnormal wall, with scattered small nests of the glomus cells. The endothelial cells in the wall of abnormal lumen were flat or absent. Immunohistochemistry showed that glomus cells strongly expressed SMA, h-caldesmon, and collagen IV. Malformed vascular endothelial cells expressed CD31, CD34 and ERG. No postoperative recurrence was found in the 12 cases. Conclusions: GVM is an uncommon type of simple venous malformation in the superficial soft tissue and different from the classical glomus tumor. Morphologically, one or more layers of glomus cells grow around the dilated venous malformation-like lumen, which can be combined with common venous malformations.
Male ; Female ; Humans ; Child ; Glomus Tumor/surgery* ; Endothelial Cells/pathology* ; Paraganglioma, Extra-Adrenal/pathology* ; Immunohistochemistry

Humans ; Carcinoma, Verrucous/pathology* ; Carcinoma, Squamous Cell/pathology* ; Bone Neoplasms ; Toes/pathology* ; Skin Neoplasms/pathology*

Humans ; Child ; Pulmonary Blastoma/pathology* ; Lung Neoplasms/pathology*

Objective: To explore the application of manual screening collaborated with the Artificial Intelligence TPS-Assisted Cytologic Screening System in urinary exfoliative cytology and its clinical values. Methods: A total of 3 033 urine exfoliated cytology samples were collected at the Henan People's Hospital, Capital Medical University, Beijing, China. Liquid-based thin-layer cytology was prepared. The slides were manually read under the microscope and digitally presented using a scanner. The intelligent identification and analysis were carried out using an artificial intelligence TPS assisted screening system. The Paris Report Classification System of Urinary Exfoliated Cytology 2022 was used as the evaluation standard. Atypical urothelial cells and even higher grade lesions were considered as positive when evaluating the recognition sensitivity, specificity, and diagnostic accuracy of artificial intelligence-assisted screening systems and human-machine collaborative cytologic screening methods in urine exfoliative cytology. Among the collected cases, there were also 1 100 pathological tissue controls. Results: The accuracy, sensitivity and specificity of the AI-assisted cytologic screening system were 77.18%, 90.79% and 69.49%; those of human-machine coordination method were 92.89%, 99.63% and 89.09%, respectively. Compared with the histopathological results, the accuracy, sensitivity and specificity of manual reading were 79.82%, 74.20% and 95.80%, respectively, while those of AI-assisted cytologic screening system were 93.45%, 93.73% and 92.66%, respectively. The accuracy, sensitivity and specificity of human-machine coordination method were 95.36%, 95.21% and 95.80%, respectively. Both cytological and histological controls showed that human-machine coordination review method had higher diagnostic accuracy and sensitivity, and lower false negative rates. Conclusions: The artificial intelligence TPS assisted cytologic screening system has achieved acceptable accuracy in urine exfoliation cytologic screening. The combination of manual screening and artificial intelligence TPS assisted screening system can effectively improve the sensitivity and accuracy of cytologic screening and reduce the risk of misdiagnosis.
Humans ; Artificial Intelligence ; Urothelium/pathology* ; Cytodiagnosis ; Epithelial Cells/pathology* ; Sensitivity and Specificity ; Urologic Neoplasms/urine*

Humans ; Mesothelioma, Malignant/diagnosis* ; Diagnosis, Differential ; Adenocarcinoma/pathology* ; Mesothelioma/pathology* ; Lung Neoplasms/pathology* ; Biomarkers, Tumor ; Pleural Neoplasms/diagnosis* ; Extracellular Matrix Proteins

Humans ; Fibrinogen ; Liver/pathology* ; Liver Diseases/pathology* ; Metabolic Diseases/pathology*

Humans ; Castleman Disease/surgery* ; Liver