MODERN ULTRASOUND IMAGING TECHNOLOGIES IN THE DIAGNOSIS OF PAPILLARY THYROID CANCER

Author:

Sencha Alexander N.1ORCID,Timofeeva Lyubov A.2ORCID,Tukhbatullin Munir G.3,Nasrullayev Magomed N.3ORCID,Alekseev Sergey S.2

Affiliation:

1. National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I. Kulakov

2. Chuvash State University

3. Kazan State Medical Academy

Abstract

The aim of the study was to determine the opportunities of multiparametric ultrasound in the early detection of papillary thyroid cancer. Examination results of 258 patients with papillary thyroid cancer at the stage of preoperative preparation were analyzed. All patients underwent multiparametric ultrasound examination in grey-scale mode, in color Doppler mapping mode, in compression elastography mode and shear wave elastography, ultrasound with contrast enhancement. In papillary thyroid cancer, "cold" tones prevailed. 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. When assessing the qualitative parameters of ultrasound with contrast enhancement, it was noted that in papillary thyroid cancer, heterogeneous accumulation of ultrasound contrast agent prevailed (54.5%), there was a more pronounced intensive accumulation of ultrasound contrast agent (63.6%). when measuring TPI, the EC indicator was 20.64±4.37 s, PI – 31.08±1.65 dB, PI (DT/2) – 64.00±10.27 s. Thus, the study showed that the complex use of multiparametric ultrasound examination techniques (B-mode, color Doppler mapping, compression elastography, shear wave elastography, ultrasound with contrast enhancement) is highly informative and should be used in the differential diagnosis of papillary thyroid cancer in the preoperative assessment.

Publisher

I.N. Ulianov Chuvash State University

Subject

Management Science and Operations Research,Mechanical Engineering,Energy Engineering and Power Technology

Reference10 articles.

1. Aleksandrov Yu.K., Yanovskaya E.A., Shubin L.B., Dyakiv A.D. Effektivnost‘ stratifikatsionnykh sistem v diagnostike uzlovykh zabolevanii shchitovidnoi zhelezy [The effectiveness of risk stratification systems in diagnosis of nodular thyroid disorders]. Problems of Endocrinology, 2019, vol. 65(4), pp. 216–226.

2. Borsukov A.V. Byt’ ili ne byt’ TI-RADS: polemicheskie zametki s Evraziiskogo foruma po raku shchitovidnoi zhelezy [TI-RADS: to be or not to be. Polemic notes from the Eurasian Forum on thyroid cancer]. Endocrine Surgery, 2016, vol. 10(3), pp. 33–36. DOI: https://doi.org/10.14341/serg2016333-36.

3. Sencha A.N., Sencha E.A., Penyaeva E.I., Timofeeva L.A. Ul’trazvukovoe issledovanie shchitovidnoi zhelezy. Shag za shagom. Ot prostogo k slozhnomu [Ultrasound examination of the thyroid gland. Step by step. From simple to complex]. Moscow, MEDpress-inform Publ., 2019, 208 p.

4. Timofeeva L.A., Sencha A.N., Tukhbatullin M.G., Shubin L.B. Sovremennye aspekty ul’trazvukovoi elastografii v differentsial’noi diagnostike uzlovykh novoobrazovanii shchitovidnoi zhelezy [Modern Aspects of Ultrasound Elastography in Differential Diagnosis of Nodular Thyroid Neoplasms]. Rossiiskii elektronnyi zhurnal luchevoi diagnostiki, 2019, vol. 9, no. 3, pp. 30–40. DOI: 10.21569/2222-7415-2019-9-3-30-40.

5. Timofeeva L.A. Differentsial’naya diagnostika uzlovykh novoobrazovanii shchitovidnoi zhelezy: mul’tiparametricheskoe ul’trazvukovoe issledovanie v paradigme stratifikatsionnykh riskov: dis. … d-ra med. nauk [Differential diagnosis of nodular neoplasms of the thyroid gland: multiparametric ultrasound in the paradigm of stratification risks. Doct. Diss.]. Moscow, 2019, 329 p.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3