A multiple regression formula for the prediction of thyroid microcarcinoma.

Ming-bo Zhang; Shuai FU; Yun Zhou; Fa-qin LV; Jie Tang

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A multiple regression formula for the prediction of thyroid microcarcinoma.

Author: Ming-bo ZHANG ¹ ; Shuai FU ¹ ; Yun ZHOU ¹ ; Fa-qin LV ¹ ; Jie TANG ¹
Author Information

1. Department of Ultrasound, Chinese PLA General Hospital, Beijing 100853, China.
Publication Type:Journal Article
MeSH: Adolescent; Adult; Aged; Aged, 80 and over; Carcinoma; diagnostic imaging; pathology; Child; Female; Humans; Logistic Models; Male; Middle Aged; Multivariate Analysis; Reference Values; Retrospective Studies; Thyroid Neoplasms; diagnostic imaging; pathology; Thyroid Nodule; pathology; Ultrasonography; Young Adult
From: Acta Academiae Medicinae Sinicae 2014;36(1):79-85
CountryChina
Language:Chinese
Abstract:
OBJECTIVETo establish a quantitative analysis formula for the prediction of thyroid microcarcinoma and decide the cut-off values for the recommendation of ultrasound-guided biopsy.
METHODSThe ultrasound characteristics of 830 subcentimeter thyroid nodules were retrospectively analyzed based on pathological results in this study. A diagnostic formula was developed using multivariate binary Logistic regression with the cut-off values for the recommendation of biopsy. The diagnostic values of each feature and the formula were evaluated.
RESULTSThe most suspicious ultrasound characteristics for subcentimeter thyroid nodules were solid echostructure (OR=41.97), microlobulated margin (OR=25.89), hypoechoic echogenicity(OR=10.36), no halo (OR=8.38), irregular margin (OR=4.26), taller than wide (OR=2.71), microcalcification (OR=1.92), and macrocalcification (OR=1.28). The sensitivity, specificity, and accuracy of the formula were 90.9%, 54.0%, and 72.5%, respectively.
CONCLUSIONThis multiple regression formula is an objective tool for the evaluation of thyroid microcarcinoma, which can provide the cutoff values for the ultrasound guided biopsy.