Three-dimensional computerized quantification for lung invasive adenocarcinoma with different histopathological subtypes in clinical stage Ⅰ
10.3760/cma.j.issn.1005-1201.2015.04.008
- VernacularTitle: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
- Author:
Li ZHANG
;
Meng LI
;
Ning WU
;
Wei SUN
;
Lyu LYU
;
Dongmei LIN
- Publication Type:Journal Article
- Keywords:
Lung neoplasms;
Adenocarcinoma;
Tomography,X-ray computed;
Pathology
- From:
Chinese Journal of Radiology
2015;49(4):268-272
- CountryChina
- Language:Chinese
-
Abstract:
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(x2=37.74,47.73,P＜0.01).The proportion of ground glass opacity component was negative correlation with histopathologic grade(r=-0.37,P＜0.01),while the proportion of solid component was positive correlation with histopathologie grade(r=0.42,P＜0.01).Conclusion Three-dimensional computerized quantification for lung invasive adenocarcinoma may predict histopathological grade.
