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临床Ⅰ期浸润肺腺癌不同组织学亚型的三维CT值定量分析 被引量:13

Three-dimensional computerized quantification for lung invasive adenocarcinoma with different histopathological subtypes in clinical stage I
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摘要 目的研究临床I期浸润肺腺癌不同组织学亚型三维CT值定量分析的特点,为患者术前评估及术中病理诊断提供影像参考。方法对2005年1月至2012年12月在我院行手术切除的273例临床I期浸润肺腺癌患者的影像、病理资料进行回顾性分析。利用3DcT值定量分析软件对病灶磨玻璃成分比例、实性成分比例进行计算。根据2011年腺癌国际新分类标准对病理切片进行复阅,并对浸润腺癌进行分级,其中附壁为主型评为1级、腺泡或乳头为主型评为2级、微乳头或实体为主型评为3级。采用Kruskal-Wallis检验比较磨玻璃成分比例、实性成分比例在浸润腺癌不同组织学亚型分级中的差异;采用Spearman相关分析检验浸润肺腺癌磨玻璃成分比例、实性成分比例与组织学亚型级别的相关性。结果273例浸润腺癌中组织学亚型分级1级49例(17.9%)、2级208例(76.2%)、3级16例(5.9%)。浸润腺癌1级、2级、3级的磨玻璃成分比例中位数(范围)分别为18.40%(10.00%~33.45%)、6.55%(2.00%~18.00%)、1.70%(0.20%-3.85%),差异具有统计学意义(x2=37.74,P〈0.01);浸润腺癌1级、2级、3级的实性成分比例中位数(范围)分别为29.80%(11.75%~47.35%)、66.60%(35.40%~83.85%)、88.50%(75.28%-93.60%),差异具有统计学意义(X2=47.73,P〈0.01);磨玻璃成分比例与浸润腺癌组织学亚型级别呈负相关(r=-0.37,P〈0.01),实性成分比例与浸润腺癌组织学亚型级别呈正相关(r=0.42,P〈0.01)。结论通过3DCT值定量分析有望对浸润腺癌的组织学亚型级别进行术前预判,从而为患者术前评估及术中病理诊断提供参考。 Objective To study three-dimensional computerized quantification for clinical stage I lung invasive adenocarcinoma with different histopathological subtypes. Methods Pathological and HRCT data of 273 patients within clinical stage I lung invasive adenocarcinoma underwent surgery from January 2005 to December 2012 were retrospectively collected. The proportion of ground glass opacity component and solid component in tumor were calculated by three-dimensional computerized quantification. All specimens were classified into 3 grades (grade 1 as the lepidic pattern of invasive adenocarcinoma, grade 2 acinar or papillary patterns, grade 3 micropapillary or solid patterns). The proportion of different components among different histopathological grades was evaluated by Kruskal-Wallis test. The correlation between components in tumor and histopathologic subtypes grade were evaluated by Spearman correlation. Results In 273 patients, 49(17.9%) were assessed as grade 1, 208(76.2%) grade 2, and 16(5.9%) grade 3. The proportion of ground glass opacity component and solid component in grade 1, grade 2, and grade 3 were 18.40% (10.00%--33.45%), 6.55% (2.00%--18.00%), 1.70% (0.20%--3.85%) and 29.80% (11.75%-47.35%), 66.60% (35.40%--83.85%), 88.50% (75.28%--93.60%), respectively. Significant differences among different histopathological grades were observed(~2=37.74,47.73,P〈0.01). The proportion of ground glass opacity component was negative correlation with histopathologic grade(r= - 0.37, P〈O.01), while the proportion of solid component was positive correlation with histopathologic grade(r=0.42, P〈0.01). Conclusion Three-dimensional computerized quantification for lung invasive adenocarcinoma may predict histopathological grade.
出处 《中华放射学杂志》 CAS CSCD 北大核心 2015年第4期268-272,共5页 Chinese Journal of Radiology
基金 北京市科委科技计划重大项目(D141100000214006) 科技部“863”计划(2014AA020602) 国家科技支撑计划(2014BA109801) 国家重大仪器专项(201YQ1706710) 北京市科委首都临床特色应用研究(Z131107002213015)
关键词 肺肿瘤 腺癌 体层摄影术 x线计算机 病理学 Lung neoplasms Adenocarcinoma Tomography, X-ray computed Pathology
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  • 1Li F, Sone S, Abe H, et al. Lung cancers missed at low-dose helical CT screening in a general population: comparison of clinical,histopathologic, and imaging findings. Radiology, 2002,225 : 673-683.
  • 2Karabulut N, Toru M, Gelebek V,et al. Comparison of low-dose and standard-dose helical CT in the evaluation of pulmonary nodules. Eur Radio1,2002 ,12 :2764-2769.
  • 3Diederich S, Lentschig MG, Overbeck TR, et al. Detection of pulmonary nodules at spiral CT: comparison of maximum intensity projection sliding slabs and single-image reporting. Eur Radiol,2001 ,11 :1345-1350.
  • 4Yankelevitz DF, Reeves AP, Kostis WJ, et al. Small pulmonary nodules: volumetrically determined growth rates based on CT evaluation. Radiology, 2000,217:251-256.
  • 5Hasegawa M, Sone S, Takashima S, et al. Growth rate of small lung cancers detected on mass CT screening . Br J Radiol, 2000, 73:1252-1259.
  • 6Wang IC, Sone S, Feng L, et al. Rapidly gtowing small peripheral lung cancers deteeted by screening CT: correlation behveen radiolngical appearance and Pathological features. Br J Radiol.2000,73:930 -937.
  • 7Winer-Muram HT, Jemlings SG. Tarver RD, et al,Volumetric growth rate of stage I lung ctulcer prior to treatment: serial CT scanning. Radiology, 2002,223:798-805.
  • 8Fiebich M, Wietholt C. Renger BC. et al. Automatie delecLion of pulmonitry nodules in low-dose screening thoracic CT examinations.Pmc: SPLE,1999,3661 :1434-1439.
  • 9Armato SG 3rd, Li F, Giger ML, et al. Lung cancer: performance of automated lung nodule detection applied to cancers missed in a CT screening prepare. Radiology.2002.225:685-692.
  • 10A.Marchianò,E.Calabrò,E.Civelli,G.D.Tolla,L.F.Frigerio,C.Morosi,赵蕾.肺小结节:多层CT在肺癌筛查中容积测量的可重复性[J].国际医学放射学杂志,2009,32(4):398-398. 被引量:6

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