Abstract:
ObjectiveTo explore the clinical value of transvaginal sonography(TVS) and hysteroscopy in the diagnosis of uterine abnormalities in infertiity patients.
MethodsNinety infertility patients were examined using TVS and hysteroscopy.The hysteroscopic results were used as the gold standard to evaluate the efficacy of TVS in the diagnosis of uterine cavity abnormalities in infertility patients, the disease types of patients with uterine cavity abnormalities were counted, and the results of TVS in the diagnosis of different types of diseases were analyzed.
ResultsAmong 90 infertility patients, 86 patients with uterine anomalies were found.The sensitivity, specificity, positive predictive value and negative predictive value of the effectiveness of TVS in diagnosing uterine abnormalities were 95.35%, 75.00%, 98.80% and 57.14%, respectively.The accuracy of TVS in diagnosing uterine cavity abnormalities was 94.44%, and there was no statistical significance between TVS and hysteroscopy(P>0.05).Among the patients with abnormal uterine cavity, there were 35 cases of submucosal fibroids, 29 cases of intrauterine polyps, 21 cases of intrauterine adhesions and 1 case of uterine malformation.The sensitivity, specificity, positive predictive value and negative predictive value of TVS in the diagnosis of submucosal myoma were 85.71%, 90.91%, 85.71% and 90.91%, respectively.The sensitivity, specificity, positive predictive value and negative predictive value of TVS in the diagnosis of uterine polys were 82.76%, 95.08%, 88.89% and 92.06%, respectively.The sensitivity, specificity, positive predictive value and negative predictive value of TVS in the diagnosis of intrauterine adhesions were 76.19%, 89.86%, 69.57% and 92.54%, respectively.The TVS diagnosis of uterine malformation was consistent with the hysteroscopic results.
ConclusionsTVS has a high accuracy in diagnosing uterine abnormalities in infertility patients, which can provide a reference for doctors to judge the types of uterine abnormalities, and has important clinical application value.