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BackgroundComputer-aided diagnosis (CAD) is a tool that can help radiologists diagnose breast lesions by ultrasonography. Previous studies have demonstrated that CAD can help reduce the incidence of missed diagnoses by radiologists. However, the optimal method to apply CAD to breast lesions using diagnostic planes has not been assessed. ObjectiveThe aim of this study was to compare the performance of radiologists with different levels of experience when using CAD with the quadri-planes method to detect breast tumors. MethodsFrom November 2018 to October 2019, we enrolled patients in the study who had a breast mass as their most prominent symptom. We assigned 2 ultrasound radiologists (with 1 and 5 years of experience, respectively) to read breast ultrasonography images without CAD and then to perform a second reading while applying CAD with the quadri-planes method. We then compared the diagnostic performance of the readers for the 2 readings (without and with CAD). The McNemar test for paired data was used for statistical analysis. ResultsA total of 331 patients were included in this study (mean age 43.88 years, range 17-70, SD 12.10), including 512 lesions (mean diameter 1.85 centimeters, SD 1.19; range 0.26-9.5); 200/512 (39.1%) were malignant, and 312/512 (60.9%) were benign. For CAD, the area under the receiver operating characteristic curve (AUC) improved significantly from 0.76 (95% CI 0.71-0.79) with the cross-planes method to 0.84 (95% CI 0.80-0.88; P

BackgroundComputer-aided diagnosis (CAD) is used as an aid tool by radiologists on breast lesion diagnosis in ultrasonography. Previous studies demonstrated that CAD can improve the diagnosis performance of radiologists. However, the optimal use of CAD on breast lesions according to size (below or above 2 cm) has not been assessed. ObjectiveThe aim of this study was to compare the performance of different radiologists using CAD to detect breast tumors less and more than 2 cm in size. MethodsWe prospectively enrolled 261 consecutive patients (mean age 43 years; age range 17-70 years), including 398 lesions (148 lesions>2 cm, 79 malignant and 69 benign; 250 lesions≤2 cm, 71 malignant and 179 benign) with breast mass as the prominent symptom. One novice radiologist with 1 year of ultrasonography experience and one experienced radiologist with 5 years of ultrasonography experience were each assigned to read the ultrasonography images without CAD, and then again at a second reading while applying the CAD S-Detect. We then compared the diagnostic performance of the readers in the two readings (without and combined with CAD) with breast imaging. The McNemar test for paired data was used for statistical analysis. ResultsFor the novice reader, the area under the receiver operating characteristic curve (AUC) improved from 0.74 (95% CI 0.67-0.82) from the without-CAD mode to 0.88 (95% CI 0.83-0.93; P2 cm, the AUC moderately decreased from 0.81 to 0.80 (novice reader) and from 0.90 to 0.82 (experienced reader). The sensitivity of the novice and experienced reader in lesions≤2 cm improved from 61.97% and 73.23% at the without-CAD mode to 90.14% and 97.18% (both P

As a disaster-bearing body, coal mines are vulnerable to the threats of flood disasters and are prone to serious impacts of floods. Floods will not only directly lead to flooding accidents and industrial square destruction, but also indirectly induce abnormal water gushing underground, water permeability, groundwater pollution and other chain disasters. In order to quantitatively assess the risk of coal mine flood accidents caused by flood disasters and strengthen the prevention and control of coal mine flood disasters. Based on the classic theory of three elements of disaster risk science: disaster-causing factors, disaster-pregnant environment, and disaster-bearing body, and the current situation of coal mine flood disaster prevention and control, the investigation index system of flood disaster prevention in coal mine is constructed, and the risk assessment model for flood disaster-induced coal mine water disaster accidents was established, and the application was verified in a coal mine in Tongzi County of Zunyi City. The research shows that the risk assessment of flood-induced coal mine water disasters is a comprehensive assessment of the system risk based on the assessment of the risk of disaster-causing factors, the stability or sensitivity of disaster-pregnant environment and the vulnerability of disaster-bearing body. The time distribution, spatial distribution and intensity of disaster-causing factors are considered in the hazard evaluation of disaster-causing factors. The stability evaluation of disaster-pregnant environment is to evaluate the sensitivity of disaster-pregnant environment to disaster-inducing factors by considering terrain, water system and other factors. The vulnerability of hazard-affected body is determined by two factors and one is the level of flood disaster prevention. The higher the level of prevention is, the lower the vulnerability of hazard-affected body is. The other is the number of people and assets exposed to the disaster-causing factors in the disaster-pregnant environment. And the greater the number is, the higher the vulnerability of the disaster-affected body is. Through the application of the proposed risk assessment model in this Coal Mine, it can be concluded that the risk level of flood-induced coal mine water disasters and accidents in this Coal Mine is low risk. In this paper, the establishment of risk assessment model provides a method for quantitatively evaluating the risk of coal mine water disaster caused by floods. It can provide a new reference for the prevention and control of flood disasters in coal mines.