Literature DB >> 31037753

Which Is the Best Reference Tissue for Strain Elastography in Predicting Malignancy in Thyroid Nodules, the Sternocleidomastoid Muscle or the Thyroid Parenchyma?

Feride Fatma Görgülü1.   

Abstract

OBJECTIVES: This study aimed to compare 2 types of strain ratios (SRs) in thyroid nodules. Two reference points were used: the sternocleidomastoid (SCM) muscle and the thyroid parenchyma.
METHODS: A total of 101 nodules in 83 patients were prospectively enrolled in the study. For the semiquantitative analysis, 2 types of SRs were used: SR1, the ratio of the SCM muscle strain to the thyroid nodule strain; and SR2, the ratio of the surrounding normal thyroid tissue strain to the thyroid nodule strain. For each nodule, the SR1 and SR2 elastographic values were calculated, and their averages were compared.
RESULTS: Eighty-one (80.2%) of 101 thyroid nodules were benign, and 20 (19.8%) were malignant. In both benign and malignant histopathologic types, the SR1 averages were significantly higher than the SR2 averages (P = .001; P < .001, respectively). Both the SR1 and SR2 values were found to be significantly successful in differentiating benign from malignant histopathologic types (P < .001 for both). The areas under the curve were then compared for the methods, and the difference was found to be statistically significant (P = .046). The diagnostic accuracy of the SR1 was superior to that of the SR2.
CONCLUSIONS: The SR1 and SR2 are effective adjunctive diagnostic tools for identifying malignant thyroid nodules. Using the SCM muscle as a reference point instead of thyroid tissue may be a more valuable way to measure SRs.
© 2019 by the American Institute of Ultrasound in Medicine.

Entities:  

Keywords:  elastography; strain ratio; thyroid cancer; thyroid nodules; ultrasound

Mesh:

Year:  2019        PMID: 31037753     DOI: 10.1002/jum.15013

Source DB:  PubMed          Journal:  J Ultrasound Med        ISSN: 0278-4297            Impact factor:   2.153


  1 in total

1.  Opinion: leading position of ultrasound in decision algorithm for small papillary thyroid carcinoma.

Authors:  Pierre Yves Marcy; Gilles Russ; Luca Saba; Julie Sanglier; Edouard Ghanassia; Haithem Sharara; Juliette Thariat; Jean Baptiste Morvan; Alain Bizeau
Journal:  Insights Imaging       Date:  2022-06-07
  1 in total

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