利用术前多模态超声独立预测甲状腺乳头状癌的高细胞亚型

IF 1.8 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Bei-Bei Ye, Yun-Yun Liu, Ying Zhang, Bo-Ji Liu, Le-Hang Guo, Qing Wei, Yi-Feng Zhang, Hui-Xiong Xu
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引用次数: 0

摘要

研究目的本研究旨在利用多模态超声探讨高细胞亚型甲状腺乳头状癌(TCPTC)与经典甲状腺乳头状癌(cPTC)之间的差异,并确定TCPTC的独立危险因素,以弥补术前细胞学和分子诊断对PTC亚型的不足。每位患者术前均接受了灰阶超声、彩色多普勒血流成像(CDFI)和剪切波弹性成像(SWE)检查。通过单变量分析比较临床病理信息、灰阶超声特征、CDFI特征和98例病变的SWE特征,找出TCPTC的预测因素,并在此基础上建立了区分TCPTC和cPTC的预测模型,并在40例患者中进行了验证:单变量和多变量分析发现,甲状腺外扩展(OR,15.12;95% CI,2.26-115.44)、纵横比(≥0.91)(OR,29.34;95% CI,1.29-26.23)和最大直径≥14.6 mm(OR,20.79;95% CI,3.87-111.47)是TCPTC的独立危险因素。逻辑回归方程:P = 1/1+ExpΣ[-5.099 + 3.004 ×(如果大小≥14.6 mm)+2.957 ×(如果纵横比≥0.91)+2.819 ×(如果甲状腺外扩展)]。该预测模型对 TCPTC 具有良好的鉴别性能:队列 1 的 AUC、灵敏度和特异性分别为 0.928、0.848 和 0.954,队列 2 的相应值分别为 0.943、0.923 和 0.926:结论:超声波具有鉴别诊断 TCPTC 和 cPTC 的潜力。基于超声特征(甲状腺外扩展、纵横比≥0.91、最大直径≥14.6毫米)的预测模型有助于预测TCPTC:多模态超声预测TCPTC是术前细胞学诊断和PTC亚型分子诊断的补充。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predicting tall-cell subtype of papillary thyroid carcinomas independently with preoperative multimodal ultrasound.

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.

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来源期刊
British Journal of Radiology
British Journal of Radiology 医学-核医学
CiteScore
5.30
自引率
3.80%
发文量
330
审稿时长
2-4 weeks
期刊介绍: BJR is the international research journal of the British Institute of Radiology and is the oldest scientific journal in the field of radiology and related sciences. Dating back to 1896, BJR’s history is radiology’s history, and the journal has featured some landmark papers such as the first description of Computed Tomography "Computerized transverse axial tomography" by Godfrey Hounsfield in 1973. A valuable historical resource, the complete BJR archive has been digitized from 1896. Quick Facts: - 2015 Impact Factor – 1.840 - Receipt to first decision – average of 6 weeks - Acceptance to online publication – average of 3 weeks - ISSN: 0007-1285 - eISSN: 1748-880X Open Access option
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