Title

Diagnostic Accuracy of Ultrasound with Color Flow Doppler in Children with Thyroid Nodules.

Year of Publication

2018

Number of Pages

1958-1965

Date Published

2018 May 1

ISSN Number

1945-7197

Abstract

<p><strong>Context: </strong>Thyroid nodules are increasingly recognized in children and are associated with a greater risk for thyroid cancer compared to adults. Thyroid ultrasound is the favored tool for evaluation of thyroid nodules; however, there are limited data regarding the accuracy of thyroid ultrasound to confirm features associated with a low risk of thyroid cancer in children.</p>

<p><strong>Objectives: </strong>We examined whether thyroid ultrasound is capable of accurately identifying thyroid nodules at a low risk of malignancy in children.</p>

<p><strong>Design and Setting: </strong>Using a retrospective cohort study design, we identified all children age ≤ 18 years with thyroid nodules and adequate follow up. Ultrasound images were reviewed independently by two blinded expert radiologists and ultrasound characteristics were analyzed to determine optimal predictive value and reliability.</p>

<p><strong>Patients and Results: </strong>417 subjects were found to have thyroid nodules and 152 subjects had adequate follow up; 59 (38.8%) of these were diagnosed with thyroid cancer. 236 individual nodules were evaluated. Features most consistent with benign nodules included small size, isoechoic echogenicity, partially cystic structure, sharp or non-infiltrative margins, absent Doppler flow and absent calcifications. Significant variability was found between expert interpretations of ultrasound features. Thyroid nodule composition appears to be the most sensitive and reliable feature for stratifying risk of thyroid cancer. Cumulatively, ultrasound accurately identified benign thyroid nodules in 80.9% (95% CI 74, 86.6%) of subjects.</p>

<p><strong>Conclusions: </strong>Ultrasonography is useful for the evaluation of thyroid nodules, but we found no combination of ultrasound features sufficient to exclude thyroid cancer without a biopsy.</p>

DOI

10.1210/jc.2017-02464

PMID

29546281

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