中国实验诊断学
中國實驗診斷學
중국실험진단학
Chinese Journal of Laboratory Diagnosis
2015年
10期
1646-1650
,共5页
张坦%张晟%忻晓洁%穆佳丽%赵静
張坦%張晟%忻曉潔%穆佳麗%趙靜
장탄%장성%흔효길%목가려%조정
甲状腺结节%超声检查%甲状腺影像和数据报告系统%多变量统计分析
甲狀腺結節%超聲檢查%甲狀腺影像和數據報告繫統%多變量統計分析
갑상선결절%초성검사%갑상선영상화수거보고계통%다변량통계분석
Thyroid nodule%Ultrasonography%TI-RADS%Multivariate statistical analysis
目的：探讨甲状腺超声影像和数据报告系统（TI-RADS）分级结合多变量统计分析在诊断甲状腺良恶结节中的应用价值。方法回顾性分析经病理证实的247例单发甲状腺结节患者的临床资料，对患者进行 TI-RADS 分级，并运用多变量统计分析方法对病例进行分析，筛选重要声像特征。结果甲状腺良性结节组和甲状腺恶性结节组比较，肿块的大小、肿块的性质、形态、边界、回声、钙化、钙化类型、纵横比，CDFI 均具有统计学差别。多变量统计结果显示甲状腺良性结节组和甲状腺恶性结节能够很好的被分离，而甲状腺恶性结节的不同分类也能很好的被区分。此外，肿物的形态、边界和钙化的异常可能预示着甲状腺结节的恶性结果，而肿物的纵横比和高是鉴别恶性结节级别的重要特征。结论TI-RADS 分级联合多变量统计分析将更有利于对甲状腺良恶性结节的诊断。
目的：探討甲狀腺超聲影像和數據報告繫統（TI-RADS）分級結閤多變量統計分析在診斷甲狀腺良噁結節中的應用價值。方法迴顧性分析經病理證實的247例單髮甲狀腺結節患者的臨床資料，對患者進行 TI-RADS 分級，併運用多變量統計分析方法對病例進行分析，篩選重要聲像特徵。結果甲狀腺良性結節組和甲狀腺噁性結節組比較，腫塊的大小、腫塊的性質、形態、邊界、迴聲、鈣化、鈣化類型、縱橫比，CDFI 均具有統計學差彆。多變量統計結果顯示甲狀腺良性結節組和甲狀腺噁性結節能夠很好的被分離，而甲狀腺噁性結節的不同分類也能很好的被區分。此外，腫物的形態、邊界和鈣化的異常可能預示著甲狀腺結節的噁性結果，而腫物的縱橫比和高是鑒彆噁性結節級彆的重要特徵。結論TI-RADS 分級聯閤多變量統計分析將更有利于對甲狀腺良噁性結節的診斷。
목적：탐토갑상선초성영상화수거보고계통（TI-RADS）분급결합다변량통계분석재진단갑상선량악결절중적응용개치。방법회고성분석경병리증실적247례단발갑상선결절환자적림상자료，대환자진행 TI-RADS 분급，병운용다변량통계분석방법대병례진행분석，사선중요성상특정。결과갑상선량성결절조화갑상선악성결절조비교，종괴적대소、종괴적성질、형태、변계、회성、개화、개화류형、종횡비，CDFI 균구유통계학차별。다변량통계결과현시갑상선량성결절조화갑상선악성결절능구흔호적피분리，이갑상선악성결절적불동분류야능흔호적피구분。차외，종물적형태、변계화개화적이상가능예시착갑상선결절적악성결과，이종물적종횡비화고시감별악성결절급별적중요특정。결론TI-RADS 분급연합다변량통계분석장경유리우대갑상선량악성결절적진단。
Objective To explore the application of thyroid imaging reporting and data system (TI-RADS)classifi-cation in combination with multivariate statistical analysis in the diagnosis of benign and malignant thyroid nodules. Methods Two hundred and forty seven histologically proved thyroid nodules in 247 patients were analyzed according to the TI-RADS classification.Multivariate statistical analysis was used to assess the classification of TI-RADS and find out the important parameters identified the benign and malignant thyroid nodules.Results There were statistical differ-ence in the size and property of the goiter,border,shape,solid echo,calcifications,calcifications pattern,a short-to-long axis ratio and CDFI between benign and malignant thyroid nodules.The results of multivariate statistical analysis showed that there were clearly classified between benign and malignant thyroid nodules and shape,border and calcifica-tions were important feature identified the benign and malignant thyroid nodules.In addition,a short-to-long axis ratio and the height of the goiter were important for the identification of different malignant thyroid nodules.Conclusion The combination of TI-RADS classification and multivariate statistical analysis showed better performance in the differ-ential diagnosis between malignant and benign thyroid nodules.
