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Comparison of CT features and pathology in multifocal lung adenocarcinoma with ground glass opacity / 中国医学影像技术
Chinese Journal of Medical Imaging Technology ; (12): 60-63, 2018.
Article in Chinese | WPRIM | ID: wpr-706177
ABSTRACT
Objective To investigate CT features of multifoeal lung adenocarcinoma (MLA) with ground glass opacity and the relationships with pathology.Methods Totally 16 cases (36 lesions) of MLA confirmed by pathology were collected.Based on pathology,the lesions were divided into pre-invasive lesion group (n =7),minimally invasive adenocarcinoma (MIA) group (n=20) and invasive adenocarcinoma (IAC) group (n =9).CT features of all three groups were analyzed and compared with pathology.Results Among 36 lesions,there were 19 lesions (52.78%) with round shape,19 (52.78%) with lobulation,12 (33.33%) with spiculation sign,13 (36.11%) with vacuole sign,12 (33.33%)with blood vessel cluster sign,and 32 lesions (88.89%) with well-defined interface.Seven pre-invasive lesions (7/7,100%) were all pure ground glass opacity (pGGO),while 12 lesions (12/20,60.00%) were pGGO in MIA group,other 8 lesions (8/20,40.00%) were mixed ground glass opacity (mGGO).Only 1 lesion (1/9,11.11%) in IAC group was pGGO,other 8 lesions (1/9,88.89%) were mGGO.There were significant differences of pGGO,spiculation sign,vacuole sign and blood vessel cluster sign among 3 groups (all P<0.05).There were significant differences of pGGO,spiculation sign and blood vessel cluster sign between pre-invasive lesion and IAC group (P=0.001,0.003,0.001).Significant differences were found in spiculation sign,vacuole sign and blood vessel cluster sign between MIA and IAC group (P=0.014,0.014,0.001).Conclusion CT findings of multiple ground glass opacity are helpful to diagnosis of MLA before surgery.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Medical Imaging Technology Year: 2018 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Medical Imaging Technology Year: 2018 Type: Article