Adolescent ; Adult ; Aged ; Ear Ossicles ; diagnostic imaging ; surgery ; Female ; Humans ; Male ; Middle Aged ; Ossicular Prosthesis ; Radiography ; Stapes ; diagnostic imaging ; Young Adult

Objective This study is to investigate the influences of USP7 on the cytobiological characteristics of laryngeal cancer cells by small interfering RNA (siRNA) interfering the USP7 expression in the laryngeal cancer cells .Methods The self‐de‐signed highly efficient siRNA was used to conduct the specific interference on USP7 expression in laryngeal cancer HEP2 cells . Then the influence on the capacity of cell proliferation and migration ,as well as apoptosise after USP7 interference were observed by using the CCK‐8 method ,Transwell chamber migration test and flow cytometry .Results The self‐designed siRNA could effi‐ciently inhibit the expression of USP7 mRNA in laryngeal cancer cells ,furthermore markedly suppressed the proliferation and mi‐gration of laryngeal cancer cells ,enhanced the cell apoptosis in laryngeal cancer HEP2 cells in vitro .Conclusion The siRNA inter‐fering USP7 can inhibit the proliferation and migration capacity of laryngeal cancer cells ,and promoted their apoptosis .

Objective To evaluate the clinical value of contrast-enhanced ultrasound (CEUS) in preoperative diagnosis of anal fistula. Methods Forty-five patients with fistula in ano were evaluated by physical examination, then CEUS were peformed by injecting SonoVue through the external opening to enhance the detection of the fistulous track and the internal opening. The results of CEUS were matched with surgical features to establish their accuracy in preoperative assessment of anal fistula. Results Simple typing fistula was found in 19 of 45 patients and 26 patients had complex fistulas. The accurate diagnostic rates by conventional ultrasound of simple typing fistula and complex fistulas were 89. 5% and 61.5%,respectively,the accurate diagnostic rates by CEUS of simple typing fistula and complex fistulas were 94. 7% and 92.3%, respectively, there was no significant difference between conventional ultrasound and CEUS about simple typing fistula( P ＞0.05), and there was significant difference about complex fistulas ( P ＜0. 05). Conclusions CEUS has a good visibility and accurate rate for diagnosis of anal fistula,It plays an important role for operation.

Objective:To investigate the value of chest CT quantitative index in clinical classification and lung injury severity evaluation of COVID-19.Methods:The current study retrospectively analyzed the clinical and CT data of 438 patients with COVID-19 between January 2020 and March 2020 in Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology. The clinical types included common type ( n=146), severe type ( n=247) and critical type ( n=45). The chest CT indexes of all patients were quantitatively analyzed by artificial intelligence (AI) deep learning, including whole lung volume, CT lung opacification, ground glass opacification volume (GGO volume; CT value<-300 HU), solid opacification volume (SO volume; CT value ≥-300 HU) and the ratio of volume to the whole lung volume, the ratio of SO volume to GGO volume (SO volume/GGO volume). Kruskal-Wallis test was used to conduct statistical analysis of the differences in quantitative parameters among clinical types, and multiple ordered logistic regression was used to analyze the correlation between quantitative parameters and clinical types. Results:Among the 438 patients diagnosed with COVID-19, severe and critical patients were older ( P<0.05), and most of the critical patients were male ( P<0.05). The main clinical manifestations of all clinical types were fever, followed by cough, fatigue, chest tightness, dyspnea, gastrointestinal symptoms and so on. GGO volume was the main CT manifestation of all the three clinical subtypes. The whole-lung opacification volume, GGO volume, SO volume and their proportions in whole-lung volume significantly increased from common, severe to critical types (all P<0.05). SO volume/GGO volume increased with the severity of clinical type [common type 0.12 (0.03, 0.34), severe type 0.29 (0.11, 0.59), critical type 0.61 (0.39, 0.97)]. Multiple ordered logistic regression analysis showed that whole-lung opacification volume (OR=1.009), SO volume/GGO volume (OR=1.866), GGO volume (OR=1.008) and SO volume (OR=1.016) had a significant positive effect on the severity of clinical typing ( P<0.01). Conclusion:Quantitative indicators of chest CT based on deep learning algorithm (SO volume, GGO volume, SO volume/GGO volume) are closely related to the clinical severity of COVID-19.