超声灰度比值鉴别甲状腺皱缩结节与甲状腺乳头状癌的临床价值
Clinical value of ultrasound grayscale ratio in distinguishing crumpled thyroid nodule from papillary thyroid carcinoma
吕宁 1唐丹丹 1杨璐 2刘媛媛 2崔晓梅 2黄声稀1
作者信息
- 1. 210000 南京市,中国人民解放军东部战区总医院秦淮医疗区特诊科
- 2. 泰康仙林鼓楼医院超声科
- 折叠
摘要
目的 探讨超声灰度比值(UGSR)鉴别诊断甲状腺皱缩结节(CTN)与甲状腺乳头状癌(PTC)的临床应用价值.方法 选取在我院就诊的CTN患者78例(CTN组)和PTC患者86例(PTC组),应用二维超声获取结节位置和最大径,分析C-TIRADS阳性特征;使用ImageJ软件测量结节整体灰度值、内部灰度值及边缘灰度值,计算UGSR,比较两组上述检查结果的差异.采用Logistic回归分析筛选鉴别CTN与PTC的独立影响因素;绘制受试者工作特征(ROC)曲线分析内部灰度值、边缘灰度值和UGSR鉴别CTN与PTC的诊断效能.采用重分类验证UGSR改善C-TIRADS阳性特征评分诊断CTN和PTC的准确率.结果 CTN组与PTC组内部灰度值、边缘灰度值及UGSR比较差异均有统计学意义(均P<0.05),两组整体灰度值、结节位置、最大径及C-TIRADS阳性特征比较差异均无统计学意义.Logistic回归分析显示,UGSR为鉴别CTN与PTC的独立影响因素(OR=1.015,P=0.007).ROC曲线分析显示,UGSR鉴别CTN与PTC的曲线下面积为0.867,高于内部灰度值(0.652)和边缘灰度值(0.726),差异均有统计学意义(均P<0.05).重分类验证结果显示,UGSR提高了C-TIRADS阳性特征评分诊断CTN和PTC的准确率,差异均有统计学意义(χ2=13.104、17.519,均P<0.05).结论 UGSR在鉴别诊断CTN与PTC中具有较好的临床应用价值,可有效提高C-TIRADS阳性特征评分的诊断准确率.
Abstract
Objective To investigate the clinical application value of ultrasound grayscale ratio(UGSR)in distinguishing crumpled thyroid nodule(CTN)from papillary thyroid carcinoma(PTC).Methods Totally 78 CTN patients(CTN group)and 86 PTC patients(PTC group)in our hospital were selected.Two-dimensional ultrasound was used to obatain the nodule location and maximum diameter.C-TIRADS positive features were analyzed.ImageJ software was used to measure the overall grayscale value,internal grayscale value and edge grayscale value of nodules,UGSR was calculated.The differences of above examination were compared.Logistic regression analysis was used to screen the independent influencing factors for distinguishing CTN from PTC,receiver operating characteristic(ROC)curve was drawn to analyze the diagnostic performance of UGSR,internal gray value and edge gray value in differentiating CTN and PTC.UGSR was used to reclassify CTN and PTC,and its efficacy in improving the accuracy of C-TIRADS positive feature scores was evaluated.Results There were significant differences in internal gray value,marginal gray value and UGSR between CTN group and PTC group(all P<0.05),while there were no significant differences in nodule location,maximum diameter,C-TIRADS positive features and overall gray value.Logistic regression analysis showed that UGSR was an independent influencing factor for distinguishing CTN from PTC(OR= 1.015,P=0.007).ROC curve analysis showed that the area under the curve of UGSR in distinguishing CTN from PTC was 0.867,and there were statistically significant differences compared with the internal grayscale value and the edge grayscale value(0.652 and 0.726,both P<0.05).The reclassification verification results showed that UGSR improved the accuracy of C-TIRADS positive feature score in the diagnosis of CTN and PTC,the differences were statistically significant(χ2=13.104,17.519,both P<0.05).Conclusion UGSR has good efficacy in distinguishing CTN from PTC,and can effectively improve the accuracy of C-TIRADS feature score.
关键词
超声灰度比值/C-TIRADS/甲状腺皱缩结节/甲状腺乳头状癌/鉴别诊断Key words
Ultrasound grayscale ratio/C-TIRADS/Crumpled thyroid nodule/Papillary thyroid carcinoma/Differential diagnosis引用本文复制引用
基金项目
国家自然科学基金面上项目(82171928)
出版年
2024
NETL
NSTL
万方数据