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Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis
Published on: February 9, 2024
Diagnostic Accuracy of Ultrasound With Color Flow Doppler in Children With Thyroid Nodules
Anthony W Gannon1, Jill E Langer2, Richard Bellah3
1Division of Pediatric Endocrinology, Nemours/Alfred I DuPont Hospital for Children, Wilmington, Delaware.
Insights
Thyroid ultrasound can identify benign nodules in children with 80.9% accuracy. However, no ultrasound features alone can rule out thyroid cancer, underscoring the need for biopsy in pediatric thyroid nodule evaluation.
Area of Science:
- Pediatric Endocrinology
- Radiology
- Oncology
Background:
- Thyroid nodules are increasingly diagnosed in children, carrying a higher risk of thyroid cancer than in adults.
- Thyroid ultrasound is the primary imaging tool, but its accuracy in identifying low-risk nodules in pediatric patients is not well-established.
Purpose of the Study:
- To evaluate the capability of thyroid ultrasound in accurately identifying pediatric thyroid nodules with a low risk of malignancy.
- To determine the reliability and predictive value of specific ultrasound features for benign thyroid nodules in children.
Main Methods:
- Retrospective cohort study of children (age ≤18 years) with thyroid nodules and adequate follow-up.
- Independent review of ultrasound images by two blinded expert radiologists.
- Analysis of ultrasound characteristics to identify features predictive of low malignancy risk.
Main Results:
- Of 152 subjects with adequate follow-up, 59 (38.8%) had thyroid cancer. Ultrasound accurately identified benign thyroid nodules in 80.9% of subjects.
- Features associated with benign nodules included small size, isoechoic echogenicity, partial cystic composition, well-defined margins, and absence of calcifications or Doppler flow.
- Significant inter-observer variability was noted, with nodule composition being the most reliable feature for risk stratification.
Conclusions:
- Thyroid ultrasound is valuable for evaluating pediatric thyroid nodules.
- No combination of ultrasound features was sufficient to definitively exclude thyroid cancer, indicating biopsy remains necessary.
- Nodule composition is the most sensitive and reliable ultrasound feature for assessing thyroid cancer risk in children.
Context:
Thyroid nodules are increasingly recognized in children and are associated with a greater risk for thyroid cancer compared with 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.
Objectives:
We examined whether thyroid ultrasound is capable of accurately identifying thyroid nodules at a low risk of malignancy in children.
Design And Setting:
Using a retrospective cohort study design, we identified 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.
Patients And Results:
A total of 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. We evaluated 236 individual nodules. Features most consistent with benign nodules included small size, isoechoic echogenicity, partially cystic structure, sharp or noninfiltrative 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 the risk of thyroid cancer. Ultrasound accurately identified benign thyroid nodules in 80.9% of subjects (95% confidence interval, 74-86.6).
Conclusions:
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.
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