TY - JOUR
T1 - Pediatric thyroid nodules
T2 - Ultrasonographic characteristics and inter-observer variability in prediction of malignancy
AU - Koltin, Dror
AU - O'Gorman, Clodagh S.
AU - Murphy, Amanda
AU - Ngan, Bo
AU - Daneman, Alan
AU - Navarro, Oscar M.
AU - Garcia, Cristian
AU - Atenafu, Eshetu G.
AU - Wasserman, Jonathan D.
AU - Hamilton, Jill
AU - Rachmiel, Marianna
N1 - Publisher Copyright:
© 2016 by De Gruyter.
PY - 2016/7/1
Y1 - 2016/7/1
N2 - Pediatric thyroid nodules, while uncommon, have high malignancy risk. The objectives of the study were (1) to identify sonographic features predictive of malignancy; (2) to create a prediction model; and (3) to assess inter-observer agreement among radiologists. Methods: All available cases of thyroid nodules, surgically removed between 2000 and 2009. Three radiologists reviewed the sonographic images; 2 pathologists reviewed the tissue specimens. Adult prediction models were applied. Interobserver variability was assessed. Results: Twenty-seven subjects, mean age 13.1±3.4 years, were included. Nineteen nodules were differentiated thyroid carcinomas. On multivariate analysis, size was the only significant predictor of malignancy. On recursive partitioning analysis, size >35 mm with microcalcification and ill-defined margins yielded the best prediction model. Radiologist inter-observer agreement regarding malignancy was moderate (κ=0.50). Conclusions: Larger size, microcalcifications and ill-defined margins on ultrasound demonstrate the best predictive model for malignancy in the pediatric population. Experienced pediatric radiologists demonstrate moderate inter-observer agreement in prediction of malignancy.
AB - Pediatric thyroid nodules, while uncommon, have high malignancy risk. The objectives of the study were (1) to identify sonographic features predictive of malignancy; (2) to create a prediction model; and (3) to assess inter-observer agreement among radiologists. Methods: All available cases of thyroid nodules, surgically removed between 2000 and 2009. Three radiologists reviewed the sonographic images; 2 pathologists reviewed the tissue specimens. Adult prediction models were applied. Interobserver variability was assessed. Results: Twenty-seven subjects, mean age 13.1±3.4 years, were included. Nineteen nodules were differentiated thyroid carcinomas. On multivariate analysis, size was the only significant predictor of malignancy. On recursive partitioning analysis, size >35 mm with microcalcification and ill-defined margins yielded the best prediction model. Radiologist inter-observer agreement regarding malignancy was moderate (κ=0.50). Conclusions: Larger size, microcalcifications and ill-defined margins on ultrasound demonstrate the best predictive model for malignancy in the pediatric population. Experienced pediatric radiologists demonstrate moderate inter-observer agreement in prediction of malignancy.
KW - Inter-observer variability
KW - prediction model
KW - thyroid carcinoma
KW - thyroid nodules
KW - ultrasound
UR - http://www.scopus.com/inward/record.url?scp=84979008556&partnerID=8YFLogxK
U2 - 10.1515/jpem-2015-0242
DO - 10.1515/jpem-2015-0242
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C2 - 27089403
AN - SCOPUS:84979008556
SN - 0334-018X
VL - 29
SP - 789
EP - 794
JO - Journal of Pediatric Endocrinology and Metabolism
JF - Journal of Pediatric Endocrinology and Metabolism
IS - 7
ER -