BACKGROUND: Prosthesis simulation is critical for maxillofacial defects caused by maxillofacial tumor and trauma. Few studies have been reported on the vermilion color, much less the correlation between facial skin color and vermilion color. OBJECTIVE: To collect thecolorimetric values of human vermilion and facial skin, so as to determine the colorimetric value range and its relevance.. METHODS: The colorimetric values of vermilion and facial skin in 202 volunteers were measured by Japanese Konica Minolta CM-700d spectrophotometer, L* (brightness), a* (from –a* (green) to +a* (red)), b* (from –b*(yellow) to +a* (blue)) values were surveyed and calculated, and then analyzed with CIELAB color system. The correlation betweencolorimetric values of the vermilion and cheek skin color was analyzed.RESULTS AND CONCLUSION: For the vermilion color in 202 volunteers, L* value was 53.25±3.42, a* value was 11.19±1.70, and b* valuewas 8.77±2.12; for the cheek skin color, L* value was 61.87±3.59, a* value was 7.21±1.29, and b* value was 12.98±1.64. L* value of thevermilion was negatively correlated with its a* value, positively correlated with its b* value, positively correlated with L* value of cheek skin andnegatively correlated with a* value of the cheek skin. a* value of the vermilion was positively correlated with a* value of the cheek skin. b*value of the vermilion was positively correlated with b* value of the cheek skin. L* value of the cheek skin was positively correlated with b*value of the vermilion, and negatively correlated with its a* value. a* value of the cheek skin was negatively correlated with b* value of thevermilion, and negatively correlated with its b* value. In summary, we preliminarily determine the colorimetric value range of the facial skin andvermilion, as well as their relevance, which provide a basis for prosthesis production and choice of colors in clinic.

Objective:Exploring the value of contrast enhanced ultrasound (CEUS) plus transient elastography in evaluating donor livers for C-I donors and predicting the occurrence of early allograft dysfunction (EAD).Methods:Between September 1, 2022 and August 31, 2023, the relevant clinical data were retrospectively reviewed for 75 pairs of donors and recipients. Based upon whether or not there was a postoperative onset of EAD, the recipients were assigned into two groups of EAD (16 cases) and non-EAD (59 cases) . All donors were examined by contrast-enhanced ultrasonography and FibroScan. QLAB analysis software was utilized for analyzing the results of contrast-enhanced ultrasound. Liver parenchyma at 3 cm below liver capsule was selected as a region of interest for plotting the time-intensity curve (TIC) . And the contrast-enhanced ultrasonic parameters of two groups were recorded. FibroScan transient elastography instrument was employed for quantifying liver stiffness 12 times in right lobe of donor liver and recording quantitative parameters of liver stiffness measurement (LSM) and controlled attenuation parameter (CAP) .Results:Inter-group comparison of gender, age, body mass index (BMI) and ICU length of stay showed no statistically significant differences ( P>0. 05) . However, significant differences existed in the levels of platelet [ (122. 44±85. 82) vs (197. 22± 140. 93) ×10 9/L]and cholinesterase [ (3 473. 44±1 368. 54) vs (4 252. 93±1 365. 37) U/L]within the first 24h pre-operation ( P=0. 047, P=0. 047) . Peak intensity (PKI) and area under the curve (AUC) were lower in EAD group than those in non-EAD group [ (16. 44±4. 70) dB vs 19. 85±4. 39 dB, P=0. 009; (1 366. 76±508. 10) dB·s vs (1 675. 23±498. 77) dB·s, P=0. 014]. There were statistically significant differences ( P=0. 009, P=0. 032) . Arterial-portal arrival interval (APAI) and LSM were higher in EAD group than those in non-EAD group[6. 50 (5. 00, 10.75) s vs 5. 00 (4. 00, 7. 00) s, P =0. 24; 8. 60 (6. 32, 11. 65) kPa vs 6. 10 (5. 40, 7. 90) kPa, P=0. 014]. Receiver operating characteristic (ROC) curve analysis revealed that PKI, AUC, APAI and LSM had AUC values of 0. 703, 0. 664, 0. 683 and 0. 702, respectively in predicting postoperative EAD. And combined prediction of EAD occurrence based upon these parameters had an AUC of 0. 776, a Youden index of 0. 508 with cutoff values, sensitivity and specificity of 0. 800, 0. 813 and 0. 695 respectively. Spearman' s correlation analysis revealed a negative correlation between APAI and AUC values ( r= -0. 404, P<0. 001) . Conclusions:The combination of CEUS and transient elastography can comprehensively evaluate the status of microcirculatory perfusion, fibrosis and steatosis of liver grafts from brain death donors. It offers a great predictive value for postoperative occurrence of EAD.

Circular RNAs (circRNAs) are a kind of non-coding RNA (ncRNA) with covalent closed-loop structure. They have attracted more and more attention because of their high stability, evolutionary conservatism, and tissue expression specificity. It has shown that circRNAs are involved in the development of a variety of diseases including malignant tumors recently. Nasopharyngeal carcinoma (NPC) is a malignant tumor that occurs in the nasopharynx and has a unique ethnic and geographical distribution in South China and Southeast Asia. Epstein-Barr virus (EBV) infection is closely related to the development of NPC. Radiotherapy and chemotherapy are the mainstays of treatment for NPC. But tumor recurrence or distant metastasis is the leading cause of death in patients with NPC. Several studies have shown that circRNAs, as gene expression regulators, play an important role in NPC and affect the progression of NPC. This review mainly summarized the research status of abnormally expressed circRNAs in NPC and EBV-encoded circRNAs. We also discussed the possibility of circRNAs as a therapeutic target, diagnostic and prognostic marker for NPC.

Resection is crucial for treating non-small cell lung cancer. Routine follow-up after surgery is an effective method for early detection and treatment of tumor recurrence and metastasis or the second primary tumor, which can improve the quality of life of patients and their prognosis. This consensus aims to provide a reference for colleagues responsible for postoperative follow-up of non-small cell lung cancer patients in China, and further improve the standardization of lung cancer diagnosis and treatment.

Humans ; Squamous Cell Carcinoma of Head and Neck ; RNA, Messenger ; Immunohistochemistry ; Papillomavirus Infections/diagnosis* ; Oncogene Proteins, Viral/genetics* ; Head and Neck Neoplasms ; Cyclin-Dependent Kinase Inhibitor p16 ; Papillomaviridae ; Papillomavirus E7 Proteins/genetics* ; DNA, Viral

Objective: To analyze the trends of the age of menarche among Chinese Han girls aged 9 to 18 years from 2010 to 2019. Methods: Data were extracted from the Chinese National Surveys on Students' Constitution and Health in 2010, 2014 and 2019. A total of 253 037 Han girls aged 9 to 18 years with complete data on menarche were selected in this study. They were asked one-on-one about their menstrual status, age and residence information. The median age of menarche was estimated by probability regression. U tests were used to compare the difference in median age at menarche in different years. Results: The median age at menarche (95%CI) among Chinese Han girls was 12.47 (12.09-12.83) years in 2010, 12.17 (11.95-12.38) years in 2014 and 12.05 (10.82-13.08) years in 2019, respectively. Compared with that in 2010, the median age at menarche in 2019 decreased by 0.42 years (U=-77.27, P<0.001). The annual average changes were-0.076 years from 2010 to 2014 (U=-57.19, P<0.001) and-0.023 years from 2014 to 2019 (U=-21.41, P<0.001), respectively. The average annual changes in urban areas in the periods of 2010 to 2014 and 2014 to 2019 were-0.071 years and 0.006 years, respectively, while those in rural areas were-0.082 years and-0.053 years, respectively. The average annual changes in the regions of north, northeast, east, south central, southwest and northwest were-0.064, -0.099, -0.091, -0.080, -0.096 and-0.041 years in the period of 2010 to 2014 and 0.001, -0.040, -0.002, -0.005, -0.043 and-0.081 years in the period of 2014 to 2019. Conclusion: The age of menarche among Chinese Han girls aged 9 to 18 years shows an advanced trend from 2010 to 2019, and the trends in urban and rural areas and different regions have different characteristics.

Objective: To analyze the trends of the age of menarche among Chinese Han girls aged 9 to 18 years from 2010 to 2019. Methods: Data were extracted from the Chinese National Surveys on Students' Constitution and Health in 2010, 2014 and 2019. A total of 253 037 Han girls aged 9 to 18 years with complete data on menarche were selected in this study. They were asked one-on-one about their menstrual status, age and residence information. The median age of menarche was estimated by probability regression. U tests were used to compare the difference in median age at menarche in different years. Results: The median age at menarche (95%CI) among Chinese Han girls was 12.47 (12.09-12.83) years in 2010, 12.17 (11.95-12.38) years in 2014 and 12.05 (10.82-13.08) years in 2019, respectively. Compared with that in 2010, the median age at menarche in 2019 decreased by 0.42 years (U=-77.27, P<0.001). The annual average changes were -0.076 years from 2010 to 2014 (U=-57.19, P<0.001) and -0.023 years from 2014 to 2019 (U=-21.41, P<0.001), respectively. The average annual changes in urban areas in the periods of 2010 to 2014 and 2014 to 2019 were -0.071 years and 0.006 years, respectively, while those in rural areas were -0.082 years and -0.053 years, respectively. The average annual changes in the regions of north, northeast, east, south central, southwest and northwest were -0.064, -0.099, -0.091, -0.080, -0.096 and -0.041 years in the period of 2010 to 2014 and 0.001, -0.040, -0.002, -0.005, -0.043 and -0.081 years in the period of 2014 to 2019. Conclusion: The age of menarche among Chinese Han girls aged 9 to 18 years shows an advanced trend from 2010 to 2019, and the trends in urban and rural areas and different regions have different characteristics.
Female ; Humans ; Menarche ; Probability ; East Asian People ; Child ; Adolescent