The accurate diagnosis of grand microvascular imaging in differentiating benign and malignant thyroid nodules: A meta-analysis

Background: meta-analysis experiments can be used to judge the hypothesis of smi benign and malignant thyroid nodules. material and methods: we explored cochrane library, pubmed, google scholar, cbm and web of science, databases according to the required content, and used a number of analysis equipment to analyze, and through the conclusions drawn to determine the sensitivity (sen) and specificity (spe), the probability ratio of pragmatic and dismissive (lr + / lr-), diagnostic factor (dor) and receiver performance typical curve (sroc) are calculated for summary statistics. results: the meta-analysis included nine studies that met the participation criteria. an aggregation of 636 malignant thyroid legumes and 732 benign thyroid nodules were evaluated. the comprehensive sen was 0.79 (95% confidence interval (ci) = 0.76-0.82), and the comprehensive spe was 0.89 (95% ci = 0.85-0.92). the comprehensive lr + was 7.04 (95% ci = 5.26-9.43), and the comprehensive negative lr- was 0.23 (95% ci = 0.20-0.27). the comprehensive dor of thyroid nodules diagnosed by smi was 30.33 (95% confidence interval = 20.73–44.38). the range beneath the sroc curve was 0.82 (95% confidence interval = 0.79 to 0.86). we established no proof of reporting bias (t = 0.91, p = 0.39). conclusion: in a related meta-analysis, the study found that smi has a very high prognosis accuracy in distinguishing malignant and benign thyroid nodules.