本文選題：亞實性結(jié)節(jié)　切入點：腺癌　出處：《中國肺癌雜志》2017年05期 　論文類型：期刊論文

【摘要】：背景與目的肺內(nèi)亞實性結(jié)節(jié)(subsolid nodule,SSN)實性成分的識別與定量對SSN的鑒別診斷,病理預(yù)測和預(yù)后評估具有重要價值,但目前缺乏公認且客觀的標準。本研究旨在應(yīng)用計算機斷層掃描(computed tomography,CT)閾值分割方法確定用于SSN實性成分識別與定量的最佳閾值。方法回顧性分析102例SSN的CT圖像。由觀察者確定SSN內(nèi)是否存在實性成分并借助軟件確定實性成分的體積,以此作為參照標準。應(yīng)用CT閾值分割方法對所有SSN進行分析,測量其內(nèi)不同CT閾值對應(yīng)的體素體積,假定該體積即為實性成分體積,計算實性成分與結(jié)節(jié)整體的體積比率。所得結(jié)果與相應(yīng)參照標準進行比較,應(yīng)用受試者工作特征曲線及Wilcoxon檢驗篩選最佳閾值。結(jié)果閾值設(shè)為-250 HU時,識別SSN內(nèi)實性成分的診斷價值最大(曲線下面積為0.982),以體積比率1.10%作為確認實性成分存在的界限值,其診斷效能最高。閾值設(shè)為-300 HU時診斷效能次之,對應(yīng)曲線下面積和體積比率界限值分別為0.977、6.14%。閾值設(shè)為-250 HU、-300 HU時所得實性成分中位體積分別為202.7 mm~3(598.2 mm~3)、247.1 mm~3(696.0 mm~3),與參照標準199.5 mm~3(743.1mm~3)間無顯著差異(P=0.125,1,0.061,3)。結(jié)論 CT閾值分割方法可對SSN實性成分進行準確識別與定量,閾值可設(shè)為-250 HU或-300 HU。
[Abstract]:Background & objective the identification and quantification of solid components of subsolid nodules of the lung have important value in differential diagnosis, pathological prediction and prognosis evaluation of SSN. The purpose of this study is to determine the best threshold for identifying and quantifying real components of SSN by using computed tomography threshold segmentation method. Methods the CT images of 102 cases of SSN were retrospectively analyzed. . the observer determines whether there is a real component in the SSN and the volume of the real component is determined by software, Using CT threshold segmentation method to analyze all SSN and measure the volume of voxels corresponding to different CT thresholds, the volume is assumed to be the volume of real components. The volume ratio of solid components to the whole nodule was calculated. The results were compared with the corresponding reference criteria. The optimal threshold was screened by using the operating characteristic curve and Wilcoxon test. When the threshold value was -250HU, the optimal threshold was obtained. The diagnostic value of identifying the real components in SSN is the greatest (the area under the curve is 0.982g). The diagnostic effectiveness is the highest when the volume ratio is 1.10%, and the diagnostic efficacy is the second when the threshold is -300HU. The threshold values of area and volume ratio under the corresponding curve are 0.977 鹵6.14, respectively. When the threshold value is -250hu -300HU, the median volume of solid component is 202.7 mm~3(598.2 / mm, respectively, and there is no significant difference between the threshold value of real component and the reference standard (199.5 mm~3(598.2 / 3). Conclusion CT threshold segmentation method can be used for CT segmentation. Accurate identification and quantification of SSN real components, The threshold can be set to -250 Hu or -300 Hu.
【作者單位】： 天津醫(yī)科大學總醫(yī)院醫(yī)學影像科;
【基金】：國家自然科學基金面上項目(No.81171345) 中央補助地方公共衛(wèi)生專項資金肺癌早診早治項目 高等學校博士學科點專項科研基金(No.20121202110005)資助~~
【分類號】：R730.44;R734.2

【相似文獻】

相關(guān)期刊論文 前1條

1 陳天忠;韋樂心;余紹立;程旭堅;;多層螺旋CT對肺磨玻璃結(jié)節(jié)與支氣管關(guān)系的初探[J];臨床放射學雜志;2014年05期

，

本文編號：1608087