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A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

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Published on: April 21, 2023

[Logistic regression analysis of contrast-enhanced ultrasound and ultrasonic elastography in differential diagnosis

Yong-bo Xu¹, Hua Wang, Qi Zhou

¹Department of Medical Ultrasound, Second Affiliated Hospital, School of Medicine, Xi'an Jiaotong University, Xi'an 710004, China.

Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi = Chinese Journal of Otorhinolaryngology Head and Neck Surgery

|October 10, 2013

Abstract

Objective:

To evaluate the contrast-enhanced ultrasound(CEUS) and ultrasonic elastography (UE) in diagnosis of thyroid nodules by a binary Logistic regression model.

Methods:

A total 149 cases with thyroid nodules were examed by CEUS and UE and were confirmed by surgical pathology. A Logistic model was obtained on the basis of ultrasonographic features. Receiver operator characteris(ROC) curve was constructed to assess the performance of the Logistic model.

Results:

Four ultrasonographic features including calcification, enhancement degree, biggest perfusion strength and elastic score were finally entered into the Logistic model. The percentage of correct prediction was 91.90%.

Conclusion:

Both CEUS and UE have high value in differential diagnosis of thyroid nodules and the Logistic regression model has high diagnostic rate.

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