Individual Identification in Facial Appearance Biometrics Based on Macroscopical Comparison / 法医学杂志

Individual identification is one of the research hotspots in the practice of forensic science, and the judgment is usually built on the comparison of the unique biological characteristics of the individual, such as fingerprints, iris and DNA. With the dramatic increase in the number of cases related to video image investigations, there is an increasing need for the technology to identify individuals based on the macroscopic comparison of facial appearance biometrics. At present, with the introduction of computer three-dimensional (3D) modeling and 3D superimposition comparison technology, considerable progress has been made in individual identification methods based on macroscopic comparison of facial appearance biometrics. This paper reviews individual facial appearance biometric methods based on macroscopical comparison, comprehensively analyzes the advantages and limitations of different methods, and puts forward recommendations and prospects for subsequent research.

Predictive value of c-met for long-term mortality in patients with esophageal squamous cell carcinoma / 南方医科大学学报

<p><b>OBJECTIVE</b>To explore the correlation of c-met protein with the clinical staging and cell differentiation of esophageal squamous cell carcinoma (ESCC).</p><p><b>METHODS</b>A total of 100 patients with ESCC were enrolled were examined for expression of c-met protein using immunohistochemistry, and the patients in negative and positive c-met expression groups were compared for clinicopathological characteristics and overall survival.</p><p><b>RESULTS</b>s The 100 ESCC patients included 67 male and 33 female patients with a median age of 59 years; 49 of the patients were negative and 51 were positive for c-met expression. Positive c-met expression was significantly correlated with advanced TMN stages and lower tumor differentiation. Kaplan-Meier survival curve showed that the median survival time of c-met-positive patients was significantly reduced compared with that of c-met-negative patients (30.9 vs 48.2 months, P<0.05). COX regression analysis showed that c-met was a independent risk factor for the overall survival of the patients (HR: 2.34, 95% CI: 1.63-4.54, P<0.05).</p><p><b>CONCLUSION</b>A positive expression of c-met protein is significantly correlated with an advanced TMN stage, lower tumor differentiation and a poor prognosis, and may serve as a indicator for predicting the prognosis of ESCC.</p>