en Radiation Biology Radiation Biology مقاله مروری Review article <p style="background: rgb(238, 238, 238); border: 1px solid rgb(204, 204, 204); padding: 5px 10px; text-align: justify;"><em><strong>Background:</strong></em> Meta-analysis experiments can be used to judge the hypothesis of SMI benign and malignant thyroid nodules. <em><strong>Material and Methods:</strong></em> 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. <em><strong>Results:</strong></em> 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&ndash;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).<em><strong> Conclusion:</strong></em> In a related meta-analysis, the study found that SMI has a very high prognosis accuracy in distinguishing malignant and benign thyroid nodules.</p> thyroid nodule, superb microvascular imaging, meta-analysis. 263 267 http://ijrr.com/browse.php?a_code=A-10-1-903&slc_lang=en&sid=1 Y. Zhou 7900319475328460021470 7900319475328460021470 Yes Department of Ultrasound, the First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning Province, China C. Wang 7900319475328460021471 7900319475328460021471 No Department of Ultrasound, the First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning Province, China