Objectives• To analyse the predictive factors for worse pathological outcome (muscle invasive pT2+, non-organ-confined pT3+ or N+ and histological Grade 3) of upper tract urothelial carcinoma (UTUC) in a Chinese population from a nationwide high-volume centre in China. Patients and Methods• Predictors were studied by retrospectively reviewing the clinicopathological data of 729 consecutive patients with UTUC treated in our centre from January 2002 to December 2010. • Univariate and multivariate logistic regression analyses were used. Results• There were more female patients (56.4%) than males and more tumours were located in the ureter (52.7%) than in the pelvis.• In multivariate analysis, male gender (hazard ratio [HR] 1.898, P = 0.001), sessile architecture (HR 3.249, P < 0.001), high grade (HR 5.007, P < 0.001), ipsilateral hydronephrosis (HR 4.768, P < 0.001), renal pelvis location (HR 2.620, P < 0.001) and tumour without multifocality (HR 1.639, P = 0.028) were predictive factors for muscle-invasive UTUC.• Male gender (HR 2.132, P < 0.001), renal pelvis location (HR 3.466, P < 0.001), tumour without multifocality (HR 2.532, P = 0.001), sessile tumour architecture (HR 3.274, P < 0.001), and high grade (HR 3.019, P < 0.001) were predictive factors for non-organ-confined disease.• Chronological old age (HR 1.047, P < 0.001), sessile tumour architecture (HR 25.192, P < 0.001), ipsilateral hydronephrosis (HR 1.689, P = 0.024), and positive urinary cytology (HR 1.997, P = 0.006) were predictive factors for histological Grade 3 UTUC.
Objective: To evaluate the performance of a convolutional neural network (CNN) model that can automatically detect and classify rib fractures, and output structured reports from computed tomography (CT) images. Materials and Methods: This study included 1079 patients (median age, 55 years; men, 718) from three hospitals, between January 2011 and January 2019, who were divided into a monocentric training set (n = 876; median age, 55 years; men, 582), five multicenter/multiparameter validation sets (n = 173; median age, 59 years; men, 118) with different slice thicknesses and image pixels, and a normal control set (n = 30; median age, 53 years; men, 18). Three classifications (fresh, healing, and old fracture) combined with fracture location (corresponding CT layers) were detected automatically and delivered in a structured report. Precision, recall, and F1-score were selected as metrics to measure the optimum CNN model. Detection/diagnosis time, precision, and sensitivity were employed to compare the diagnostic efficiency of the structured report and that of experienced radiologists. Results: A total of 25054 annotations (fresh fracture, 10089; healing fracture, 10922; old fracture, 4043) were labelled for training (18584) and validation (6470). The detection efficiency was higher for fresh fractures and healing fractures than for old fractures (F1-scores, 0.849, 0.856, 0.770, respectively, p = 0.023 for each), and the robustness of the model was good in the five multicenter/multiparameter validation sets (all mean F1-scores > 0.8 except validation set 5 [512 x 512 pixels; F1-score = 0.757]). The precision of the five radiologists improved from 80.3% to 91.1%, and the sensitivity increased from 62.4% to 86.3% with artificial intelligence-assisted diagnosis. On average, the diagnosis time of the radiologists was reduced by 73.9 seconds. Conclusion: Our CNN model for automatic rib fracture detection could assist radiologists in improving diagnostic efficiency, reducing diagnosis time and radiologists' workload.
Ubiquitin-conjugating enzyme E2T (UBE2T), a member of the ubiquitin-conjugating E2 family in the ubiquitin-proteasome pathway, has been reported to be overexpressed in certain tumor types and to have an important role in the Fanconi anemia pathway. In the present study, the expression of UBE2T and its association with bladder cancer were investigated; to the best of our knowledge, this has not been reported previously. Immunohistochemistry and western blot analysis demonstrated that UBE2T was significantly upregulated in bladder cancer tissues and cell lines compared with adjacent normal bladder tissues and a normal human urinary tract epithelial cell line, respectively. UBE2T was detectable in the nuclei and cytoplasm of cancer cells, exhibiting stronger expression in the nuclei. A UBE2T-siRNA-expressing lentivirus was constructed and used to infect human bladder cancer 5637 cells, in order to examine the role of UBE2T in bladder cancer cell growth in vitro. The knockdown of UBE2T significantly decreased bladder cancer cell proliferation and colony formation. Furthermore, UBE2T silencing induced cell cycle arrest at G2/M phase and increased cell apoptosis. Therefore, UBE2T serves an important role in the growth of bladder cancer cells, and may be considered as a potential biomarker and therapeutic target for bladder cancer.
Positron annihilation lifetime spectroscopy has been identified as an effective means of characterizing the free volume content of amorphous polymers. The lifetime and intensity of the ortho‐positronium (o‐Ps) pick‐off annihilation has been found to correlate with the average size and density of free volume sites, respectively. Recently, PALS has been used to evaluate and monitor the physical aging and structural relaxation of polymers in terms of both initial state and evolution in state with time. However, during extended PALS measurements in insulating materials, an electric field can build up due to positron‐electron annihilation and can effectively reduce the probability of positronium formation. In this paper, an observed decrease in intensity associated with the o‐Ps annihilation component in the glassy polymers polycarbonate and polystyrene is found to be unrelated to structural relaxation of the materials over the time periods examined as reported earlier by others, and, instead, to be more likely a result of electric charge build‐up. © 1993 John Wiley & Sons, Inc.
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