MRI T2WI图像纹理分析预测甲状腺乳头状癌颈部淋巴结转移的诊断价值

doi:10.12117/jccmi.2020.08.010

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Abstract Objective: To evaluate the value of MRI texture analysis in predicting cervical lymph node metastasis of papillary thyroid carcinoma(PTC). Materials and Methods: The imaging and clinical data of 54 patients with PTC diagnosed by operation and pathology were retrospectively analyzed, according to the result of surgical pathology, the patients were divided into lymph node metastasis group(34 cases) and no lymph node metastasis group(20 cases). Preoperative thyroid MRI examination was performed on all patients, ROI was manually delineated on the T2WI axial image of the largest section of the tumor, texture parameters(entropy, standard deviation, contrast, skewness, kurtosis, deficit moment, angular second moment, mean, correlation) were extracted by texture analysis software. The independent sample t-test(normal distribution with homogeneity of variance) and Mann-Whitney U test(non-normal distribution without homogeneity of variance) were used to compare the differences of measurement data between the two groups. The difference of enumeration data was compared by χ2 test. The ROC curve was used to evaluate the texture parameters with statistical significance and to predict the efficacy of cervical lymph node metastasis. P<0.05 was considered statistically significant. Results: The T2WI image entropy(t=-5.64), correlation(Z=-2.67), angular second-order moment(Z=-3.53) and standard deviation(Z=-2.67) between PTC cervical lymph node metastasis group and non-metastasis group were statistically significant(P<0.05). The maximum of the area under ROC curve(AUC) of entropy was 0.884, threshold was 5.59, sensitivity was 97.1%, and specificity was 70%. Contrast, skewness, kurtosis, deficit moment and mean were not statistically significant(P>0.05). Conclusion: MRI T2WI image texture analysis has certain significance for prediction of PTC cervical lymph node metastasis.

Key words： Thyroid neoplasms Carcinoma, papillary Lymphatic metastasis Magnetic resonance imaging

Received: 11 December 2019

PACS:	Ｒ736.1
	Ｒ445.2

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	Articles by authors
	ZHANG Heng1
	ZHANG Hui-hui1
	SHU Zheng2
	GE Chen-jin2
	DENG Xiao-fei2
	SUN Feng2
	CAO Sheng-nan2

Cite this article:

ZHANG Heng1,ZHANG Hui-hui1,SHU Zheng2, et al. The diagnostic value of MRI T2WI image texture analysis for predicting cervical lymph node metastasis of papillary thyroid carcinoma[J]. JOURNAL OF CHINA MEDICAL IMAGING, 2020, 31(8): 568-571.

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http://www.jccmi.com.cn/EN/10.12117/jccmi.2020.08.010 OR http://www.jccmi.com.cn/EN/Y2020/V31/I8/568

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