Predicting tall-cell subtype of papillary thyroid carcinomas independently with preoperative multimodal ultrasound

Author:

Ye Bei-Bei12,Liu Yun-Yun12,Zhang Ying12,Liu Bo-Ji12,Guo Le-Hang123,Wei Qing4,Zhang Yi-Feng123ORCID,Xu Hui-Xiong25

Affiliation:

1. Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University , Shanghai 200072, China

2. Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment , Shanghai 200072, China

3. Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University , Shanghai 200072, China

4. Department of Pathology, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University , Shanghai 200072, China

5. Department of Ultrasound, Zhongshan Hospital, Fudan University , Shanghai 200032, China

Abstract

Abstract Objectives This study aimed to explore the differences between tall-cell subtype of papillary thyroid carcinoma (TCPTC) and classical papillary thyroid carcinoma (cPTC) using multimodal ultrasound, and identify independent risk factors for TCPTC to compensate the deficiency of preoperative cytological and molecular diagnosis on PTC subtypes. Methods Forty-six TCPTC patients and 92 cPTC patients were included. Each patient received grey-scale ultrasound, colour Dopplor flow imaging (CDFI) and shear-wave elastography (SWE) preoperatively. Clinicopathologic information, grey-scale ultrasound features, CDFI features and SWE features of 98 lesions were compared using univariate analysis to find out predictors of TCPTC, based on which, a predictive model was built to differentiate TCPTC from cPTC and validated with 40 patients. Results Univariate and multivariate analyses identified that extra-thyroidal extension (odds ratio [OR], 15.12; 95% CI, 2.26-115.44), aspect ratio (≥0.91) (OR, 29.34; 95% CI, 1.29-26.23), and maximum diameter ≥14.6 mm (OR, 20.79; 95% CI, 3.87-111.47) were the independent risk factors for TCPTC. Logistic regression equation: P = 1/1+ExpΣ[−5.099 + 3.004 × (if size ≥14.6 mm) + 2.957 × (if aspect ratio ≥ 0.91) + 2.819 × (if extra-thyroidal extension). The prediction model had a good discrimination performance for TCPTC: the area under the receiver-operator-characteristic curve, sensitivity, and specificity were 0.928, 0.848, and 0.954 in cohort 1, and the corresponding values in cohort 2 were 0.943, 0.923, and 0.926, respectively. Conclusion Ultrasound has the potential for differential diagnosis of TCPTC from cPTC. A prediction model based on ultrasound characteristics (extra-thyroidal extension, aspect ratio ≥0.91, and maximum diameter ≥14.6 mm) was useful in predicting TCPTC. Advances in knowledge Multimodal ultrasound prediction of TCPTC was a supplement to preoperative cytological diagnosis and molecular diagnosis of PTC subtypes.

Funder

National Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality

Shanghai Municipal Health Commission

Publisher

Oxford University Press (OUP)

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