Ultrasound in Medicine and Biology
Volume 35, Issue 2 , Pages 201-208 , February 2009

Characterization of the Major Histopathological Components of Thyroid Nodules Using Sonographic Textural Features for Clinical Diagnosis and Management

  • Shao-Jer Chen

      Affiliations

    • Department of Radiology, Buddhist Dalin Tzu Chi General Hospital, Chia-Yi, Taiwan
    • School of Medicine, Buddhist Tzu Chi University, Hualien, Taiwan
    • ,
  • Sung-Nien Yu

      Affiliations

    • Department of Electrical Engineering, National Chung Cheng University, Chia-Yi, Taiwan
    • ,
  • Jeh-En Tzeng

      Affiliations

    • Department of Pathology, Buddhist Dalin Tzu Chi General Hospital, Chia-Yi, Taiwan
    • ,
  • Yen-Ting Chen

      Affiliations

    • Department of Electrical Engineering, Southern Taiwan University, Tainan, Taiwan
    • ,
  • Ku-Yaw Chang

      Affiliations

    • Department of Computer Science and Information Engineering, Da-Yeh University, Changhua, Taiwan
    • ,
  • Kuo-Sheng Cheng

      Affiliations

    • Institute of Biomedical Engineering, National Cheng Kung University, Tainan, Taiwan, Department of Information Engineering, Kun Shan University, Tainan County, TAIWAN, ROC
    • ,
  • Fu-Tsung Hsiao

      Affiliations

    • Department of Radiology, Buddhist Dalin Tzu Chi General Hospital, Chia-Yi, Taiwan
    • ,
  • Chang-Kuo Wei

      Affiliations

    • Department of Endocrine Surgery, Buddhist Dalin Tzu Chi General Hospital, Chia-Yi, Taiwan
    • Corresponding Author InformationAddress correspondence to: Chang-Kuo Wei, MD, Department of Endocrine Surgery, Buddhist Dalin Tzu Chi General Hospital, Chia-Yi, Taiwan

Received 18 May 2008 ,Revised 31 July 2008 ,Accepted 21 August 2008.

References 

  1. Andrea B, Flavio P. An investigation of the textural characteristics associated with gray level co-occurrence matrix statistical parameters. IEEE Trans Geosci Remote Sensing. 1995;33:293–304
  2. Baloch ZW, Fleisher S, LiVolsi VA, Gupta PK. Diagnosis of “follicular neoplasm”: A gray zone in thyroid fine needle aspiration cytology. Diagn Cytopathol. 2002;26:41–44
  3. Carol MR, Stephanie RW, Charboneau JW, Johnson JA. Diagnostic ultrasound. In: Philadelphia, PA: Elsevier Mosby; 2005;p. 735–757
  4. Chang TC, Hong CT, Chang SL, Hsieh HC, Liaw KY, How SW. Correlation between sonography and pathology in thyroid diseases. J Formosan Med Assoc. 1990;89:777–783
  5. Chow LS, Gharib H, Goellner JR, van Heerden JA. Nondiagnostic thyroid fine-needle aspiration cytology: Management dilemmas. Thyroid. 2001;11:1147–1151
  6. Cooper DS, Doherty GM, Haugen BR, Kloos RT, Lee SL, Mandel SJ, et al. The American Thyroid Association Guidelines Taskforce (Management guidelines for patients with thyroid nodules and differentiated thyroid cancer). Thyroid. 2006;16:109–142
  7. Frates MC, Benson CB, Charboneau JW, Cibas ES, Clark OH, Coleman BG, et al. Management of Thyroid Nodules Detected at US: Society of Radiologists in Ultrasound Consensus Conference Statement. Radiology. 2005;237:794–800
  8. Gharib H, Goellner JR, Zinsmeister AR, Grant CS, Van Heerden JA. Fine-needle aspiration biopsy of the thyroid (The problem of suspicious cytologic findings). Ann Intern Med. 1984;101:25–28
  9. Haralick RM, Shanugam K, Dinstein I. Texture features for image classification. IEEE Trans Syst Man Cybernetics. 1973;3:610–621
  10. Isarangkul W. Dense fibrosis (Another diagnostic criterion for papillary thyroid carcinoma). Arch Pathol Lab Med. 1993;117:645–646
  11. Kononenko I. Estimating attributes: Analysis and extensions of RELIEF. Proceedings of the 1994 European Conference on Machine Learning. 1994;171–182
  12. LOGIQ 700 Expert Series: Conformance Statement for DICOM V3.0. Direction 2243479--100, Revision 1. Technical Publications. GE Healthcare, Chalfant St. Giles, UK. Available at: http://www.gehealthcare.com/usen/interoperability/dicom/docs/logiq700_rev2.pdf.
  13. Loh H-H, Leu J-G, Luo RC. The analysis of natural textures using run length features. IEEE Trans Ind Electr. 1988;35:323–328
  14. Lu C, Chang TC, Hsiao YL, Kuo MS. Ultrasonographic findings of papillary thyroid carcinoma and their relation to pathologic changes. J Formosan Med Assoc. 1994;93:933–938
  15. Robnik-Šikonja M, Kononenko I. Theoretical and empirical analysis of ReliefF and RReliefF. Machine Learning. 2003;53:23–69
  16. Sclabas GM, Staerkel GA, Shapiro SE, Fornage BD, Sherman SI, Vassillopoulou-Sellin R, et al. Fine-needle aspiration of the thyroid and correlation with histopathology in a contemporary series of 240 patients. Am J Surg. 2003;186:702–709discussion 709–710
  17. Tessler FN, Tublin ME. Thyroid sonography: Current applications and future directions. AJR Am J Roentgenol. 1999;173:437–443
  18. Wee WG, Sun C. Neighboring gray level dependence matrix for texture classification. Comput Vis Graph Image Process. 1983;23:341–352
  19. Wu CM, Chen YC. Statistical feature matrix for texture analysis. Comput Vis Graph Image Process. 1992;54:407–419
  20. Wu CM, Chen YC, Hsieh KS. Texture features for classification of ultrasonic liver images. IEEE Trans Med Imaging. 1992;11:141–152

PII: S0301-5629(08)00389-X

doi: 10.1016/j.ultrasmedbio.2008.08.017

Ultrasound in Medicine and Biology
Volume 35, Issue 2 , Pages 201-208 , February 2009

Article Tools

* Image Usage & Resolution