The value of contrast-enhanced ultrasonography in differential diagnosis of thyroid microcarcinoma of TI-RADS grade 3-4
10.3760/cma.j.issn.1004-4477.2017.10.008
- VernacularTitle:超声造影参数成像在TI-RADS3~4级甲状腺微小癌鉴别诊断中的应用价值
- Author:
Jun ZHANG
1
;
Liao CHEN
;
Wei HU
;
Bin SUN
;
Xin HUANG
;
Xingyue HUANG
;
Wenwei CHEN
Author Information
1. 430060,武汉大学人民医院超声影像科
- Keywords:
Contrast-enhanced ultrasonography;
Thyroid microcarcinoma;
TI-RADS;
Time-intensity curve;
Dynamic vascular pattern
- From:
Chinese Journal of Ultrasonography
2017;26(10):855-860
- CountryChina
- Language:Chinese
-
Abstract:
Objective To provide a reference for differential diagnosis of thyroid microcarcinoma classified as TI-RADS 3-4 grade using contrast-enhanced ultrasound.Methods SonoLiver software was used to analyze the process of contrast-enhanced ultrasound of 112 thyroid small nodules classified as TI-RADS 3-4 grade.The dynamic vascular pattern curve(DVPC)and the time-intensity curve(TIC)were automatically acquired for summarization of the types and characteristics of the two curves.The relevant parameters such as the rise time(RT),time to peak(TTP),maximum intensity(IMAX%),mean transit time(mTT),area under curve(AUC)and perfusion index(PI)were acquired and calculated using the software.Receiver operating curve (ROC) analysis was used to achieve the cut-off value of these parameters for differential diagnosis.Results For thyroid microcarcinoma which TI-RADS assessment of grade 3-4,TIC showed as slow rise and slow drop wave or slow rise and fast drop wave,DVPC showed negative waveform or negative-positive bi-directional waveform.ROC analysis demonstrated that IMAX of 96.5%,AUC of 443.08 and PI of 47.64 were the best cut-off values for the differential diagnosis of benign and malignant nodules.When IMAX<96.5%,AUC<443.08,PI<47.64,the nodules were highly likely to be thyroid microcarcinoma.Conclusions The contrast-enhanced ultrasound parameters can provide effective reference for the differential diagnosis of thyroid carcinoma with grade 3-4 in TI-RADS classification.