Application Of Velocity Matching Technology In The Diagnosis Of Thyroid Disease

Objectives Determining Velocity matching values of the thyroid disease by Velocity-matching techniques. To explore its application value in diagnosing and differentiallydiagnosing of thyroid disease and the factors in determination process.Methods134patients with primary hyperthyroidism,41patients with Hashimoto’sthyroiditis, normal control group is52cases; Two-dimensional ultrasound observesthyroid size, substance, blood flow, and measures the thickness from thyroid capsule tothe surface; To start sonic matching technology, measuring velocity matching values(zone speed index, ZSI)of thyroid each six times before breathing and after,ZSI ’s ICC(intraclass correlation coefficient) is calculated before holding breath and after.Tocalculate the average of ZSI after holding breath, and the speed of sound(SV) in theregion is (1540+ZSI) m/s, ZSI of the two groups were analyzed.Analyzing therelationship between thickness from thyroid capsule to the surface. Using the intraclasscorrelation coefficient (ICC)to predict the stability of Velocity-matching techniques.277thyroid nodules of65patients which is confirmed by pathologically, include51benignnodules (38nodular goiter, adenoma13) and malignant nodules26. Conventional two-dimensional observe thyroid nodule size, echo, blood, border, calcification, cystic,measuring the size of the nodule and distance from the nodule to the surface. Startingsonic matching techniques to measure ZSI of77nodules. With pathological findings asthe gold standard, the ROC curve is constructed, to determine the diagnostic value ofVelocity-matching techniques on benign and malignant thyroid nodules, and to analyze therelationship between the depth of nodules and ZSI.Results1ZSI of HT group is higher than the control group and the Graves group,SV ofGraves group is lower than the normal group,the differences of any two were Statisticalsignificance(P <0.05). Velocity-matching techniques has good stability (ICC0.90),but bythe breath-impact.Thickness from thyroid capsule to the surface with ZSI is nocorrelation.2ZSI of benign nodules is lower than the malignant nodules,the differencewas statistically significant (P <0.05).The area under the ROC curve is0.91.The optimalcutoff point is39.17m/s, with39.17m/s points for the sector to determine malignantthyroid nodules, the sensitivity,specificityof ZSI is92%,85%.Thyroid nodules depth and ZSI is no significant correlation (benign nodules r=0.05,P=0.72; malignant nodules r=0.04,P=0.83).Conclusions1Velocity matching technology as a new technology, when measuringthyroid speed of sound, the ICC after breathing is0.90, sonic matching technology afterbreathing has good stability.2ZSI of HT group is higher than the Graves group, ZSI ofthe malignant nodules is higher than the benign nodules. By constructing ROC curve ofbenign and malignant nodules ZSI, determining the optimal cut point of velocitymatching technology judging benign and malignant thyroid nodules is39.17cm/s.Sensitivity, specificity is92%,85%. Velocity matching technology can provide anobjective reference for diagnosis and differential diagnosis of thyroid disease.3Whenmatching ZSI, velocity matching technology was no correlation with the organization infront of the thyroid.