International Journal of Clinical Oncology

, Volume 22, Issue 3, pp 448–454

Multivariate evaluation of Thyroid Imaging Reporting and Data System (TI-RADS) in diagnosis malignant thyroid nodule: application to PCA and PLS-DA analysis

Original Article
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Abstract

Objective

To explore the significance of ultrasonic features in differential diagnosis of thyroid nodules via combining the thyroid imaging reporting and data system (TI-RADS) and multivariate statistical analysis.

Methods

Patients who received surgical treatment and was diagnosed with single thyroid nodule by postoperative pathology and preoperative ultrasound were enrolled in this study. Multivariate analysis was applied to assess the significant ultrasonic features which correlated with identifying benign or malignance and grading the TI-RADS classification of thyroid nodule.

Results

There were significant differences in the nodule size, aspect ratio, internal, echogenicity, boundary, presence or absence of calcifications, calcification type and CDFI between benign and malignant thyroid nodules. Multivariate analysis showed clear-cut distinction both between benign and malignance and among different TI-RADS categories of malignancy nodules. The shape and calcification of the nodule were important factors for distinguish the benign and malignance. Height of the nodule, aspect and calcification was important factors for grading TI-RADS categories of malignancy thyroid nodules.

Conclusions

Ill-defined boundary, irregular shape and presence of calcification related with highly malignant risk for thyroid nodule. The larger height and aspect and presence of calcification related with higher TI-RADS classification of malignancy thyroid nodule.

Keywords

Thyroid nodule Ultrasonography TI-RADS Multivariate analysis PCA 

References

  1. 1.
    Hermus AR, Huysmans DA (1998) Treatment of benign nodular thyroid disease. N Engl J Med 338(20):1438–1447CrossRefPubMedGoogle Scholar
  2. 2.
    Bae U, Dighe M, Dubinsky T et al (2007) Ultrasound thyroid elastography using carotid artery pulsation: preliminary study. Ultrasound Med 26(6):797–805CrossRefGoogle Scholar
  3. 3.
    Grubbs EG, Rich TA, Li G et al (2008) Recent advances in thyroid cancer. Curr Probl Surg 45:156–250CrossRefPubMedGoogle Scholar
  4. 4.
    Isidro ML, Penin M, Cordido F (2006) Systematic ultrasound evaluation of thyriod nodules. Thyroid 16(12):1324–1325PubMedGoogle Scholar
  5. 5.
    Horvath E, Majlis S, Rossi R et al (2009) An ultrasonogram reporting system for thyroid nodules stratifying cancer risk for clinical management. J Clin Endocrinol Metab 94(5):1748–1751CrossRefPubMedGoogle Scholar
  6. 6.
    Russ G, Royer B, Bigorgne C et al (2013) Prospective evaluation of thyroid imaging reporting and data system on 4550 nodules with and without elastography. Euro J Endocrinol 168:649–655CrossRefGoogle Scholar
  7. 7.
    Wei Xi, Li Ying, Zhang Sheng et al (2014) Thyroid imaging reporting and data system (TI-RADS) in the diagnostic value of thyroid nodules: a systematic review. Tumor Biol 35(7):6769–6776CrossRefGoogle Scholar
  8. 8.
    Eriksson L, Johansson E, Kettaneh-Wold N et al (2006) Multi- and megavariate data analysis-principles and applications. Umetrics AB, UmeaGoogle Scholar
  9. 9.
    Gong T, Wang J (2012) The analysis of the calcification in differentiatingmalignant thyroid neoplasm and the molecular mechanisms for the formation of the calcification[J]. Lin Chung Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 26(16):763–766PubMedGoogle Scholar
  10. 10.
    Moon WJ, Jung SL, Lee JH et al (2008) Benign and malignant thyroid nodules: US differentiation—multicenter retrospective study. Radiology 247(3):762–770CrossRefPubMedGoogle Scholar
  11. 11.
    Sillery JC, Reading CC, Charboneau JW et al (2010) Thyroid follicular carcinoma: sonographic features of 50 cases. AJR Am J Roentgenol. 194(1):44–54CrossRefPubMedGoogle Scholar
  12. 12.
    Zhou L, Chen B, Zhao M et al (2015) Sonographic features of medullary thyroid carcinomas according to tumor size: comparison with papillary thyroid carcinomas. J Ultrasound Med 34(6):1003–1009CrossRefPubMedGoogle Scholar

Copyright information

© Japan Society of Clinical Oncology 2017

Authors and Affiliations

  1. 1.Department of Ultrasound Diagnosis and TreatmentTianjin Medical University Cancer Institute and HospitalTianjinChina
  2. 2.Department of Cancer Prevention CenterTianjin Medical University Cancer Institute and HospitalTianjinChina
  3. 3.National Clinical Research Center for CancerTianjinChina
  4. 4.Key Laboratory of Cancer Prevention and TherapyTianjinChina
  5. 5.Tianjin’s Clinical Research Center for CancerTianjinChina

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