Computerized Quantification of Ultrasonic Heterogeneity in Thyroid Nodules

Kuen Yuan Chen, Chiung Nien Chen, Ming Hsun Wu, Ming Chih Ho, Hao Chih Tai, Wen Hong Kuo, Wen Chang Huang, Yu Hsin Wang, Argon Chen, King Jen Chang

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

To test whether computerized quantification of ultrasonic heterogeneity can be of help in the diagnosis of thyroid malignancy, we evaluated ultrasonic heterogeneity with an objective and quantitative computerized method in a prospective setting. A total of 400 nodules including 271 benign thyroid nodules and 129 malignant thyroid nodules were evaluated. Patient clinical data were collected, and the grading of heterogeneity on conventional gray-scale ultrasound images was retrospectively reviewed by a thyroid specialist. Quantification of ultrasonic heterogeneity (heterogeneity index, HI) was performed by a proprietary program implemented with methods proposed in this article. HI values differed significantly between benign and malignant nodules, diagnosed by a combination of fine-needle aspiration and surgical pathology results (. p<0.001, area under the curve=0.714). The ultrasonic heterogeneity of these samples, as assessed by an experienced clinician, could not significantly differentiate between benign and malignant thyroid nodules. However, nodules with marked ultrasonic heterogeneity had higher HI values than nodules with homogeneous nodules. These results indicate that the new computer-aided diagnosis method for evaluation of the ultrasonic heterogeneity of thyroid nodules is an objective and quantitative method that is correlated with conventional ultrasonic heterogeneity assessment, but can better aid in the diagnosis of thyroid malignancy.

Original languageEnglish
Pages (from-to)2581-2589
Number of pages9
JournalUltrasound in Medicine and Biology
Volume40
Issue number11
DOIs
Publication statusPublished - Nov 1 2014

Fingerprint

Thyroid Nodule
nodules
Ultrasonics
ultrasonics
Thyroid Gland
Surgical Pathology
Fine Needle Biopsy
Area Under Curve
Neoplasms
gray scale
pathology
needles

Keywords

  • Computer-aided diagnosis
  • Heterogeneity index
  • Thyroid cancer
  • Thyroid nodule
  • Ultrasonic heterogeneity

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Biophysics
  • Acoustics and Ultrasonics

Cite this

Chen, K. Y., Chen, C. N., Wu, M. H., Ho, M. C., Tai, H. C., Kuo, W. H., ... Chang, K. J. (2014). Computerized Quantification of Ultrasonic Heterogeneity in Thyroid Nodules. Ultrasound in Medicine and Biology, 40(11), 2581-2589. https://doi.org/10.1016/j.ultrasmedbio.2014.06.009

Computerized Quantification of Ultrasonic Heterogeneity in Thyroid Nodules. / Chen, Kuen Yuan; Chen, Chiung Nien; Wu, Ming Hsun; Ho, Ming Chih; Tai, Hao Chih; Kuo, Wen Hong; Huang, Wen Chang; Wang, Yu Hsin; Chen, Argon; Chang, King Jen.

In: Ultrasound in Medicine and Biology, Vol. 40, No. 11, 01.11.2014, p. 2581-2589.

Research output: Contribution to journalArticle

Chen, KY, Chen, CN, Wu, MH, Ho, MC, Tai, HC, Kuo, WH, Huang, WC, Wang, YH, Chen, A & Chang, KJ 2014, 'Computerized Quantification of Ultrasonic Heterogeneity in Thyroid Nodules', Ultrasound in Medicine and Biology, vol. 40, no. 11, pp. 2581-2589. https://doi.org/10.1016/j.ultrasmedbio.2014.06.009
Chen, Kuen Yuan ; Chen, Chiung Nien ; Wu, Ming Hsun ; Ho, Ming Chih ; Tai, Hao Chih ; Kuo, Wen Hong ; Huang, Wen Chang ; Wang, Yu Hsin ; Chen, Argon ; Chang, King Jen. / Computerized Quantification of Ultrasonic Heterogeneity in Thyroid Nodules. In: Ultrasound in Medicine and Biology. 2014 ; Vol. 40, No. 11. pp. 2581-2589.
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