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

DOI: 10.1007/s10147-017-1098-x

Cite this article as:
Zhang, T., Li, F., Mu, J. et al. Int J Clin Oncol (2017). doi:10.1007/s10147-017-1098-x
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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 

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