This study was aimed at exploring the application value of three-dimensional (3D) ultrasound based on deep learning and continued nursing health monitoring (CNHM) mode in promoting the recovery of bladder cancer patients after surgery. 60 patients who underwent muscular noninvasive superficial bladder cancer and bladder perfusion treatment were selected as the research objects. The patients were randomly divided into two groups: an experimental group (30 cases) and a control group (30 cases). Patients in the experimental group adopted a CNHM model during the bladder perfusion treatment. The patients in control group adopted ordinary health monitoring mode. All patients underwent 3D ultrasound examination, and all images were processed using the convolutional neural network (CNN) algorithm. All patients were followed up regularly within 12 after the treatment. The imaging data, quality of life, satisfaction, and complications of the two groups of patients were compared in each time period. The ultrasound image processed by the CNN algorithm was clearer than that processed by the original method, showing higher image quality and more prominent lesion features. After 12 months of health monitoring intervention, the overall health status, scores of various functional areas, and score of functional subscales of the experimental group were greatly higher than those of the control group, and the differences were statistically significant ( P < 0.05 ). The incidence of adverse reactions in the experimental group was much lower than that in the control group, and the difference was statistically obvious ( P < 0.05 ). The comparison of the recurrence rate between the two groups of patients in each time period was statistically significant. The satisfaction score of the experimental group was much higher than the score of the control group, showing statistically significant difference ( P < 0.05 ). CNN algorithm showed high application value in 3D ultrasound image processing, and the CNHM model was very beneficial to the postoperative recovery of bladder cancer patients.

Ultrasonography in the evaluation and diagnosis of carotid arteries and left ventricular function in patients with subclinical atherosclerosis (SA) was explored. In total, 152 patients with no obvious clinical symptoms of atherosclerosis confirmed by carotid ultrasonography in Tengzhou Central People's Hospital from September 2015 to March 2016 were enrolled as the experimental group, and further 45 patients with normal physical examination at the same time were collected as the control group. Patients in the experimental group were divided into three groups according to Framingham risk assessment: low, middle and high risk. The carotid arteries and left ventricular function of all patients were detected by Doppler ultrasound. There were differences in the systolic pressure, TG and TC between the control group and the experimental group (P<0.05). The expression levels of β, cIMT, Ep and PWVβ increased with the risk degree in the low, middle and high risk groups (P<0.05). The expression levels of LVEDV, LVESV, and LVEF in the experimental group were significantly decreased compared with those in the control group (P<0.05), while the expression levels of LAV, E/e, GLS and GCS were significantly increased compared with those in the control group (P<0.05). There was a difference of left ventricular function parameters in the low, medium and high risk groups (P<0.05). The expression levels of LVEDV, LVESV, LAV and E/e increased with the risk degree in the low, middle and high risk groups (P<0.05). The detection rate of plaque was lower in the low risk group than those in the middle and high risk group (P<0.05). By observing the parameters of carotid arteries and left ventricular function, it was found that ultrasonography has important clinical value in the early diagnosis of SA, and can be promoted in clinic.

BACKGROUND Background: Bladder cancer has the highest incidence of urinary tract tumours. At present, early clinical diagnosis of bladder cancer is receiving more and more attention. Ultrasound is currently one of the most meaningful methods for early screening of bladder cancer. OBJECTIVE Objective: The objective is to evaluate the sensitivity and specificity of ultrasonography and cystoscopy in the diagnosis and detection of bladder tumors, as well as the detection rate of tumors in different number, location, and size. METHODS Methods: In this study, we evaluated the sensitivity and specificity of ultrasound and cystoscopy in the diagnosis and detection of bladder tumours, and the detection rate of tumours in different numbers, locations, and sizes. Value. The paper retrospectively analysed 163 patients who underwent transurethral resection of bladder tumours in our hospital from June 2015 to December 2018 due to bladder tumours. Postoperative pathology of all patients were bladder urothelial tumours. All patients underwent bladder ultrasound and cystoscopy. RESULTS Results: The coincidence rate of colour Doppler ultrasound and cystoscopy in the diagnosis of single or multiple bladder tumours was found, and the results were not statistically different (P value> 0.05). For bladder tumours with a maximum diameter of> 10 mm, there was no statistically significant difference in diagnostic coincidence between colour Doppler ultrasound and cystoscopy (P value> 0.05). For bladder tumours with a maximum diameter of <10 mm, the diagnostic coincidence rate of cystoscopy was 92.68% (38/41), and the coincidence rate of transabdominal ultrasound was 70.73% (29/41). There was a statistical difference between cystoscopy and colour Doppler ultrasound (P Value <0.05). CONCLUSIONS Conclusions: The sensitivity and specificity of color Doppler ultrasound to bladder tumor were lower than that of cystoscopy. There was no significant difference in the coincidence rate between colour Doppler ultrasound and cystoscopy in the diagnosis of single or multiple tumours. For tumours located in the bladder neck, the coincidence rate of colour Doppler ultrasound is better than cystoscopy. CLINICALTRIAL

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