放射学实践
放射學實踐
방사학실천
RADIOLOGIC PRACTICE
2014年
4期
393-396
,共4页
吴亮%杨顺实%江学庆%袁静萍%李海%吴志勇
吳亮%楊順實%江學慶%袁靜萍%李海%吳誌勇
오량%양순실%강학경%원정평%리해%오지용
甲状腺肿瘤%超声%磁共振成像%细胞学分类%鉴别诊断
甲狀腺腫瘤%超聲%磁共振成像%細胞學分類%鑒彆診斷
갑상선종류%초성%자공진성상%세포학분류%감별진단
Thyroid neoplasms%Ultrasound%Magnetic resonance imaging%Cytological classification
目的:探讨细胞学未定性甲状腺结节的恶性预测因子。方法:回顾性搜集2009年-2013年88例细胞学检查未定性甲状腺结节患者的相关资料。对选定结节进行临床、实验室、MRI、超声和穿刺细胞学(Bethesda 分类标准)多方面分析研究,多变量分析后建立预测模型。结果:88例中有25例甲状腺结节为恶性病变(28.41%,25/88)。对比分析良性结节组和恶性结节组,两组中患者的性别、血清FT4水平、有无甲状腺自身免疫性疾病、微钙化的 MRI 特征、结节中央血流丰富的US特征在两组间差异均无统计学意义(P>0.05)。微钙化的US特征、边界模糊的 MRI特征以及细胞学结果分类第Ⅳ类(Bethesda分类系统)在两组间差异有统计学意义(P<0.05)。在多变量分析后,预测模型表明Bethesda 分类Ⅳ类和微钙化的US特征以及边界模糊的 MRI 特征均可作为未定性甲状腺结节的恶性预测因子,符合率为88.6%。结论:研究证实Bethesda分类Ⅳ、微钙化的US特征、边界模糊的 MRI特征均是未定性甲状腺结节的恶性预测因子。
目的:探討細胞學未定性甲狀腺結節的噁性預測因子。方法:迴顧性搜集2009年-2013年88例細胞學檢查未定性甲狀腺結節患者的相關資料。對選定結節進行臨床、實驗室、MRI、超聲和穿刺細胞學(Bethesda 分類標準)多方麵分析研究,多變量分析後建立預測模型。結果:88例中有25例甲狀腺結節為噁性病變(28.41%,25/88)。對比分析良性結節組和噁性結節組,兩組中患者的性彆、血清FT4水平、有無甲狀腺自身免疫性疾病、微鈣化的 MRI 特徵、結節中央血流豐富的US特徵在兩組間差異均無統計學意義(P>0.05)。微鈣化的US特徵、邊界模糊的 MRI特徵以及細胞學結果分類第Ⅳ類(Bethesda分類繫統)在兩組間差異有統計學意義(P<0.05)。在多變量分析後,預測模型錶明Bethesda 分類Ⅳ類和微鈣化的US特徵以及邊界模糊的 MRI 特徵均可作為未定性甲狀腺結節的噁性預測因子,符閤率為88.6%。結論:研究證實Bethesda分類Ⅳ、微鈣化的US特徵、邊界模糊的 MRI特徵均是未定性甲狀腺結節的噁性預測因子。
목적:탐토세포학미정성갑상선결절적악성예측인자。방법:회고성수집2009년-2013년88례세포학검사미정성갑상선결절환자적상관자료。대선정결절진행림상、실험실、MRI、초성화천자세포학(Bethesda 분류표준)다방면분석연구,다변량분석후건립예측모형。결과:88례중유25례갑상선결절위악성병변(28.41%,25/88)。대비분석량성결절조화악성결절조,량조중환자적성별、혈청FT4수평、유무갑상선자신면역성질병、미개화적 MRI 특정、결절중앙혈류봉부적US특정재량조간차이균무통계학의의(P>0.05)。미개화적US특정、변계모호적 MRI특정이급세포학결과분류제Ⅳ류(Bethesda분류계통)재량조간차이유통계학의의(P<0.05)。재다변량분석후,예측모형표명Bethesda 분류Ⅳ류화미개화적US특정이급변계모호적 MRI 특정균가작위미정성갑상선결절적악성예측인자,부합솔위88.6%。결론:연구증실Bethesda분류Ⅳ、미개화적US특정、변계모호적 MRI특정균시미정성갑상선결절적악성예측인자。
Objective:To study the predictive factors of malignant thyroid nodules with indeterminate cytological diag-nosis of fine needle aspiration biopsy.Methods:Clinical data of 88 patients with thyroid nodules with indeterminate cytologi-cal examination results in our hospital from 2009 to 2013 were retrospectively collected.The clinical,laboratory,MRI,US and cytological classification (Bethesda criteria)variables of these selected cases were analyzed,and a prediction model was designed after the multivariate analysis.Results:There were 25 cases with malignant thyroid nodules (28.41%,25/88).Be-tween benign and malignant nodule groups,there were no significant differences in gender,FT4 blood levels,with autoim-mune thyroid disease,rich blood flow in central region by US;there were significant differences in micro-calcifications on US,blurry border on MRI and the Bethesda System category IV.The established multivariate analysis model showed the Bethesda System category IV together with micro-calcifications on US and blurry border on MRI were predictive factors of malignant thyroid nodules,with 88.6% diagnostic accuracy.Conclusion:This study confirmed Bethesda System category IV together with micro-calcifications on US and blurry border on MRI were predictive factors of malignancy in indeterminate thyroid nodules.