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The clinical value of predicting the invasiveness of pulmonary mixed ground-glass nodules by CT quantitative parameters / 中国肿瘤临床
Chinese Journal of Clinical Oncology ; (24): 286-290, 2018.
Artigo em Chinês | WPRIM | ID: wpr-706795
ABSTRACT

Objective:

To discuss the value of CT quantitative parameters in prediction of the invasiveness of pulmonary mixed ground glass nodules(mGGNs).

Methods:

CT images of 164 patients with pulmonary ground-glass nodules(mGGNs),enrolled in Tianjin Medi-cal University Cancer Institute and Hospital from January 2013 to September 2016,confirmed by surgical pathology were analyzed ret-rospectively.CT quantitative parameters including maximum diameter,largest diameter perpendicular to the maximum diameter,vol-ume on both pulmonary window and mediastinal window,mean CT value and TDR(tumor shadow disappear rate)were evaluated be-tween minimally invasive adenocarcinoma (MIA) and invasive adenocarcinoma (IAC) with ROC and Logistic regression analysis. Re-sultsLogistic regression analysis showed that the maximum diameter of the pulmonary window(OR=3.080,95% CI1.135-8.355,P=0.027)and the maximum diameter of the mediastinal window(OR=5.881,95%CI1.634-21.166,P=0.007)independently predicted the invasiveness of mGGNs;the corresponding values of area under the curve of the combination of two parameters were 0.855,with sen-sitivity of 77.61% and specificity of 86.67 %.The cut-off point to the corresponding value of the maximum diameter on pulmonary win-dow and mediastinal window was 1.902cm and 1.273cm,respectively.

Conclusions:

CT quantitative parameters are helpful in predict-ing the invasiveness of mGGNs.The maximum diameters on both pulmonary window and mediastinal window are independent predic-tors.

Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Tipo de estudo: Estudo prognóstico Idioma: Chinês Revista: Chinese Journal of Clinical Oncology Ano de publicação: 2018 Tipo de documento: Artigo

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Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Tipo de estudo: Estudo prognóstico Idioma: Chinês Revista: Chinese Journal of Clinical Oncology Ano de publicação: 2018 Tipo de documento: Artigo