Affiliation:
1. Chuvash State University
2. Kazan State Medical Academy
Abstract
The aim of the study is to determine the value of multiparametric ultrasound examination in the differential diagnosis of thyroid cancer. The results of a multiparametric ultrasound examination performed in 219 patients with thyroid cancer at the stage of preoperative assessment are analyzed. There were 123 patients with papillary thyroid cancer, 96 patients with follicular thyroid cancer. All patients underwent multiparametric ultrasound examination in grey-scale mode, color Doppler mapping mode and elastography mode: compression elastography and shear wave elastography. In papillary thyroid cancer, two–color staining was found in 13.4% of cases, three–color staining – in 19.3%, four-color staining – in 28.7%, five-color staining – in 26.4%, six–color staining – in 12.2%. The pattern was dominated by "cold" tones. The velocity of the shear wave was 4.61±1.33 m/s (95% CI), Young's modulus was 63.3±14.7 kPa (95% CI), the elasticity index (strain ratio) was 4.89±1.65 (95% CI) c.u. The color scheme of follicular thyroid cancer was characterized by patchiness, the presence of both rigid and elastic areas. In 2 cases (14.3%) there was two-color staining, in 4 (28.6%) – three-color staining, in 8 (57.1%) – four-color and five-color staining. The velocity of the shear wave was 4,53±1,25 m/s (95% CI), Young's modulus was 62,1±12,1 kPa (95% CI), the elasticity index (strain ratio) was 3,76±0,76 (95% CI) c.u. Thus, the study showed that the complex use of multiparametric ultrasound examination techniques (B-mode, color Doppler mapping, compression elastography, shear wave elastography) is highly informative and should be used in the differential diagnosis of thyroid cancer in the preoperative assessment. Thus, the performed examination showed that the complex application of multiparametric ultrasound techniques (V, mode, CDM, CEG, ESP) is highly informative and should be used in the differential diagnosis of thyroid cancer in the preoperative period.
Publisher
I.N. Ulianov Chuvash State University
Subject
Management Science and Operations Research,Mechanical Engineering,Energy Engineering and Power Technology
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