Literature DB >> 24785278

[CT diagnosis of different pathological types of ground-glass nodules].

Feng Gao1, Xiao-Jun Ge, Ming Li, Yan Chen, Fanzhen Lyu, Yanqing Hua2, Qingguo Ren, Lin Qi.   

Abstract

OBJECTIVE: To explore the CT features of ground-glass nodules (GGN) including preinvasive lesions [atypical adenomatous hyperplasia (AAH) and adenocarcinoma in situ (AIS)], minimally invasive adenocarcinoma (MIA) and invasive adenocarcinoma (IAC).
METHODS: Ninety-seven GGN lesions confirmed by operation pathology were included in this study. The lesions were divided into three groups: preinvasive lesion group (24 cases), MIA group (39 cases), IAC group (34 cases). The lesion size, 3-dimensional ratio, 2-dimensional ratio in axial images, lesion density, shape, speculation, lobulation, air-containing space and pleural indentation on the preoperative CT images in the three groups were analyzed and compared with pathological results. The data were statistically analyzed using SPSS 17.0.
RESULTS: All preinvasive lesions presented as pure GGN on CT image, most showed round-like shape, clear and smooth border. MIA presented as pure GGN or mixed GGN on CT image, most showed round-like shape, with a clear and smooth border. IAC most presented as mixed GGN on CT image, often showed irregular shape. Speculation, lobulation, air-containing space and pleural indentation displayed gradually increasing from preinvasive lesions to MIA and IAC. There were statistically significant differences in lesion size, CT density, shape, air-containing space, speculation, pleural indentation and long diameter of solid component between the MIA and IAC groups (P < 0.05 for all). There were statistically significant differences in CT density values and long diameters of solid component of the lesions between the preinvasive lesion group and MIA group (P < 0.05). The AUC of solid component of the preinvasive lesion group and MIA group was 0.705, and that of the MIA and IAC groups was 0.814.
CONCLUSION: Comprehensive analysis of the CT image features of GGNs, especially the solid component in the lesions, may help to the preoperative and differential diagnosis of preinvasive lesions, MIA and IAC.

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Mesh:

Year:  2014        PMID: 24785278

Source DB:  PubMed          Journal:  Zhonghua Zhong Liu Za Zhi        ISSN: 0253-3766


  1 in total

1.  Can CT imaging features of ground-glass opacity predict invasiveness? A meta-analysis.

Authors:  Jian Dai; Guoyou Yu; Jianqiang Yu
Journal:  Thorac Cancer       Date:  2018-02-15       Impact factor: 3.500

  1 in total

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