Sonographic characteristics suggesting papillary thyroid carcinoma according to nodule size

Ga Ram Kim, Myung Hyun Kim, Hee Jung Moon, Woong Youn Chung, Jin Young Kwak, Eun Kyung Kim

Research output: Contribution to journalArticle

27 Citations (Scopus)

Abstract

Purpose: To determine differences in ultrasonography (US) features suggesting papillary thyroid carcinoma (PTC) between nodules larger than 10 mm (large lesions) and nodules ≤10 mm in diameter (small lesions). Methods: We included 1,238 nodules in 1,173 patients that were confirmed through cytology or histopathology between February 2007 and June 2007 in the study. Nodules were divided into large lesions (571 lesions) and small lesions (667 lesions). Sonographic features were defined as composition, echogenicity, margin, calcifications, shape, and vascularity. Logistic regression analyses were performed to determine the odds ratios (OR) of each feature to predict PTC. Results: On multivariate analysis, irregular margin (OR = 37.788, P < 0.001), microcalcifications (OR = 17.799, P < 0.001), microlobulated margin (OR = 10.385, P < 0.001), and no vascularity (OR = 5.975, P < 0.001) were independent factors for PTC in the large lesions and irregular margin (OR = 7.185, P < 0.001), microlobulated margin (OR = 5.952, P < 0.001), microcalcifications (OR = 3.722, P < 0.001), marked hypoechogenicity (OR = 2.873, P = 0.004), and taller than wide shape (OR = 2.698, P < 0.001) were independent factors for PTC in the small lesions. Conclusions: The OR of each US finding for predicting PTC is different between large and small lesions. Therefore, it would be helpful to weight certain US features according to nodule size when reporting thyroid nodules with different risks of PTC.

Original languageEnglish
Pages (from-to)906-913
Number of pages8
JournalAnnals of surgical oncology
Volume20
Issue number3
DOIs
Publication statusPublished - 2013 Mar 1

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Odds Ratio
Calcinosis
Ultrasonography
Papillary Thyroid cancer
Thyroid Nodule
Cell Biology
Multivariate Analysis
Logistic Models
Regression Analysis
Weights and Measures

All Science Journal Classification (ASJC) codes

  • Surgery
  • Oncology

Cite this

Kim, Ga Ram ; Kim, Myung Hyun ; Moon, Hee Jung ; Chung, Woong Youn ; Kwak, Jin Young ; Kim, Eun Kyung. / Sonographic characteristics suggesting papillary thyroid carcinoma according to nodule size. In: Annals of surgical oncology. 2013 ; Vol. 20, No. 3. pp. 906-913.
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abstract = "Purpose: To determine differences in ultrasonography (US) features suggesting papillary thyroid carcinoma (PTC) between nodules larger than 10 mm (large lesions) and nodules ≤10 mm in diameter (small lesions). Methods: We included 1,238 nodules in 1,173 patients that were confirmed through cytology or histopathology between February 2007 and June 2007 in the study. Nodules were divided into large lesions (571 lesions) and small lesions (667 lesions). Sonographic features were defined as composition, echogenicity, margin, calcifications, shape, and vascularity. Logistic regression analyses were performed to determine the odds ratios (OR) of each feature to predict PTC. Results: On multivariate analysis, irregular margin (OR = 37.788, P < 0.001), microcalcifications (OR = 17.799, P < 0.001), microlobulated margin (OR = 10.385, P < 0.001), and no vascularity (OR = 5.975, P < 0.001) were independent factors for PTC in the large lesions and irregular margin (OR = 7.185, P < 0.001), microlobulated margin (OR = 5.952, P < 0.001), microcalcifications (OR = 3.722, P < 0.001), marked hypoechogenicity (OR = 2.873, P = 0.004), and taller than wide shape (OR = 2.698, P < 0.001) were independent factors for PTC in the small lesions. Conclusions: The OR of each US finding for predicting PTC is different between large and small lesions. Therefore, it would be helpful to weight certain US features according to nodule size when reporting thyroid nodules with different risks of PTC.",
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Sonographic characteristics suggesting papillary thyroid carcinoma according to nodule size. / Kim, Ga Ram; Kim, Myung Hyun; Moon, Hee Jung; Chung, Woong Youn; Kwak, Jin Young; Kim, Eun Kyung.

In: Annals of surgical oncology, Vol. 20, No. 3, 01.03.2013, p. 906-913.

Research output: Contribution to journalArticle

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AU - Kim, Ga Ram

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AU - Moon, Hee Jung

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