According to the grades of echogenicity to evulated thyroid nodules is a subjective process and is thus influenced by the observer's judgement. The investigators first proposed the ultrasound gray-scale ratio (UGSR) to explore its efficacy for differentiating papillary thyroid microcarcinomas from small nodular goiters.
Echogenicity is a common ultrasonic parameter to evaluate thyroid nodules. The echogenicity of the thyroid nodule was divided into 5 grades according to gray scale. Of the five categories, the diagnostic values of the hypoechoic and markedly hypoechoic categories have been widely accepted for thyroid malignant nodules. However, distinguishing between hypoechoic and markedly hypoechoic categories is a subjective process and is thus influenced by the observer's judgement. A more objective method should be proposed to differentiate papillary thyroid microcarcinoma(PTMC) from small nodular goiter(NG). The investigators suspect the echo intensity of nodules could be reflected by values, as CT values reflecting the nodule density. The investigators first proposed the ultrasound gray-scale ratio (UGSR), namely, the ratio of lesion gray-scale value to surrounding normal thyroid tissue, and the previous study showed UGSR can better display the relationship of gray scale of PTMC or NG with surrounding normal thyroid tissue, and can make objective judgment of the nodules through quantitative results. As the absolute ultrasound grayscale value is affected by the apparatus, scan gain, dynamic range, frequency, and operators. The investigators would collected different data acquired from different parameters to explore their potential relations.
Study Type
OBSERVATIONAL
Enrollment
300
RADinfo radiograph reading system was used to measure the gray-scales of PTMC, NG, and thyroid tissues at the same gain level, the UGSR values of the PTMC, NG, and thyroid tissue were calculated.
The first people's hospital of Hangzhou
Hangzhou, Zhejiang, China
The diagnostic value of UGSR in differentiating benign from malignant thyroid nodules.
The accuracy, sensitivity and specificity of UGSR in differentiating benign from malignant thyroid nodules.
Time frame: All the data will be uploaded in 1 year.
The best UGSR in differentiating benign from malignant thyroid nodules.
The cut-off value of UGSR in differentiating benign from malignant thyroid nodules.
Time frame: All the data will be uploaded in 1 year.
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