• Medientyp: E-Artikel
  • Titel: The Role of Ultrasound and Shear-Wave Elastography in Evaluation of Cervical Lymph Nodes
  • Beteiligte: Heřman, Jan; Sedláčková, Zuzana; Fürst, Tomáš; Vachutka, Jaromír; Salzman, Richard; Vomáčka, Jaroslav; Heřman, Miroslav
  • Erschienen: Hindawi Limited, 2019
  • Erschienen in: BioMed Research International
  • Sprache: Englisch
  • DOI: 10.1155/2019/4318251
  • ISSN: 2314-6141; 2314-6133
  • Schlagwörter: General Immunology and Microbiology ; General Biochemistry, Genetics and Molecular Biology ; General Medicine
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  • Beschreibung: <jats:p><jats:italic>Aim</jats:italic>. To evaluate the prognostic value of ultrasound and shear-wave elastography (SWE) in diagnosing malignant cervical lymph nodes.<jats:italic> Methods</jats:italic>. A total of 99 patients with enlarged lymph nodes (99 lymph nodes presenting as a neck mass) were examined clinically with conventional ultrasound including Doppler examination and shear-wave elastography. The results of the examinations were compared with the final diagnosis.<jats:italic> Results</jats:italic>. There were 43 benign and 56 malignant lymph nodes in our cohort. Age and sex were significant predictors of malignancy. The standard ultrasound parameters—node size, long/short axis ratio, hilum, vascularization, and the presence of microcalcifications—were also statistically significant. Lymph node volume combined with age showed the best predictive power. The maximum stiffness found on SWE was also a significant predictor of malignancy. The combination of epidemiologic, classic ultrasound, and elastographic parameters yielded the highest sensitivity and specificity in the prediction of malignancy; however, the additional impact of elastographic parameters was low.<jats:italic> Conclusion</jats:italic>. A combination of epidemiologic and classic ultrasound parameters can discriminate between malignant and benign lymph nodes with satisfactory sensitivity and specificity. Examining the stiffness of lymph nodes by means of SWE does not add much new predictive power.</jats:p>
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