甲状腺乳头状癌常规超声图像特征及声触诊组织成像预测颈部淋巴结转移的价值研究

doi:10.12117/jccmi.2020.01.003

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Abstract Objective: To investigate the value of conventional ultrasound image features and virtual touch tissue imaging(VTI) in the estimate of cervical lymph node metastasis of papillary thyroid carcinoma(PTC). Methods: According to the postoperative pathological results, 77 patients with PTC were divided into lymph node metastasis group and non-metastasis group. The preoperative routine ultrasound images and VTI grades were analyzed to compare the correlation between each factor and lymph node metastasis. Assign each independent risk factor to 1, calculate the score for each nodule, receiver operating characteristic(ROC) curve was used to determine the cut off spot. Results: Monofactor and multivariate analysis showed the micro-calcification, very hypoechoic, flow grade of Ⅱ~Ⅲ and VTI grade 6 were independent risk factors with cervical lymph node metastasis(P<0.05). The ROC curve showed that when PTC primary tumors had ≥2 independent risk factors, it had a high predictive value for cervical lymph node metastasis, the sensitivity, specificity, accuracy of predicting cervical lymph nodes metastasis was 94.7%, 82.1%, 88.3% respectively. Conclusion: Conventional ultrasound image features and VTI can predict cervical lymph node metastasis. Micro-calcification, very hypoechoic, flow grade of Ⅱ~Ⅲ and VTI grade 6 were independent risk factors for cervical lymph node metastasis.

Key words： Thyroid neoplasms Carcinoma, papillary Lymphatic metastasis Ultrasonography, Doppler, color

Received: 04 April 2019

PACS:
	Ｒ736.1
	Ｒ730.261
	Ｒ445.1

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	Articles by authors
	WANG Jing
	LU Jiao
	WANG Rong
	LIU Jie
	WANG Yu-qiao
	WANG Xing-tian

Cite this article:

WANG Jing,LU Jiao,WANG Rong, et al. The value of conventional ultrasound image features and virtual touch tissue imaging in #br# the estimate of cervical lymph node metastasis of papillary thyroid carcinoma[J]. JOURNAL OF CHINA MEDICAL IMAGING, 2020, 31(1): 11-14.

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http://www.jccmi.com.cn/EN/10.12117/jccmi.2020.01.003 OR http://www.jccmi.com.cn/EN/Y2020/V31/I1/11

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