Objective We aimed to assess the impact of the treatment modality on the outcome of small cell neuroendocrine cervical carcinoma (SCNEC) using the Surveillance Epidemiology and End Results (SEER) database. Methods Patients from the SEER program between 1981 and 2014 were identified. Significant factors for cancer‐specific survival (CSS) and overall survival (OS) were analyzed using the Kaplan‐Meier survival and Cox regression methods. Results A total of 503 SCNEC patients were identified. The 5‐year CSS and OS were 36.6% and 30.6%, respectively. The International Federation of Gynecology and Obstetrics (FIGO) stage I to IV distributions was 189 (37.6%), 108 (21.5%), 95 (18.9%), and 111 patients (22.0%), respectively. Within the patients with known treatment strategies, 177 (45.9%) were treated with radical surgery and 209 (54.1%) underwent primary radiotherapy. Local treatment strategies were independent prognostic factor for CSS and OS. The 5‐year CSS for radical surgery and primary radiotherapy was 50.0% and 27.9%, respectively (P < .001). The 5‐year OS for those who received radical surgery and primary radiotherapy was 57.8%, and 29.6%, respectively (P < .001). In FIGO stage I SCNEC, patients treated with radical surgery had superior CSS (P = .001) and OS (P = .003) than those with primary radiotherapy. However, in FIGO stage II and III SCNEC, there were no differences in CSS and OS with respect to different local treatment strategies. Our results also found that the addition of brachytherapy impacted OS in the FIGO stage III SENCE (P = .002). The 5‐year CSS and OS of patients with FIGO IV were only 11.7% and 7.1%, respectively. Conclusions SCNEC is a rare disease with aggressive clinical behavior. The findings indicate that radical surgery should be suggested for early‐stage SCNEC and combining radiation therapy with brachytherapy should be suitable for patients with advanced stage.
Background: Small cell carcinoma of the esophagus is a rare malignant tumor. We aimed to explore the chemotherapeutic efficacy on the prognosis of patients with small cell carcinoma of the esophagus who received radiotherapy. Methods: To identify the population of interest, Surveillance, Epidemiology, and End Results data from 1996 to 2016 were chosen. Univariate and multivariate analyses were used to probe into prognosis factors. Multivariate Cox regression analysis was conducted to identify factors related to overall survival and cancer-specific survival. Results: Overall, data from 162 patients were analyzed in this study. Tumor size (P = 0.014), T staging (P = 0.028), and chemotherapy (P < 0.001) were independent prognostic factors affecting overall survival. Patients with regional disease (hazard ratio = 5.435, P < 0.001) and distant metastasis (hazard ratio = 2.183, P < 0.001) who received radiotherapy alone had worse survival than those receiving chemoradiotherapy. Tumor size (P = 0.004) and chemotherapy (P < 0.001) were independent prognostic factors affecting cancer-specific survival. Tumor size was an independent factor affecting cancer-specific survival for patients receiving chemoradiation. Conclusions: Age, T staging, tumor size, primary site, and chemotherapy are independent prognosis factors affecting overall survival and cancer-specific survival in patients with small cell carcinoma of the esophagus who receive radiotherapy. Chemotherapy might further improve cancer-specific survival in patients with small cell carcinoma of the esophagus receiving radiotherapy at all stages.
Thermal energy exchange induces non-uniform temperature distribution on the concrete bridge structures, leading to variation of static and dynamic properties of structural systems. The finite element method can facilitate thermal simulation and predict the structural temperature distribution based on heat flow theories. Previous studies mainly focused on the daytime with sunny weather, and the effects of solar shadow distribution were not fully considered or even ignored. In this paper, a systematic all-weather thermal simulation method was proposed to investigate the temperature distributions of concrete maglev bridges. The solar shadow distribution on the bridge surface could be accurately simulated to determine the solar radiation-imposed range. A meteorological station and some thermocouples were installed on a real concrete maglev bridge to obtain the real-time structural temperatures and environmental conditions. Its temperature distribution is also simulated using the proposed method within the 27 monitoring days in Summer. Results show that the simulated structural temperature matches well with the measured results under various weather conditions, except that of the east structural surface. Moreover, the simulation method acquired a higher accuracy under overcast or rainy weather due to weaker solar radiation effects. Both the numerical results and experimental records illustrated that direct solar radiation dominates the thermal energy exchange under sunny or cloudy conditions. The proposed methodology for temperature field simulation is oriented by all-weather prediction of structural temperature, which is reliable for concrete bridge structures with the help of accurate measurement of real-time solar radiation.
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