基于CT GE Lung VCAR软件鉴别肺原位腺癌和微浸润腺癌

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Abstract Objective: The CT identification of lung adenocarcinoma in situ (AIS) and minimally invasive adenocarcinoma (MIA) was analyzed by using GE Lung VCAR software. Methods: The CT images of 50 AIS patients and 55 MIA patients from the First Affiliated Hospital of Wenzhou Medical University were analyzed by GE Lung VCAR software after taking three-dimensional computed tomographic segmentation of lung nodules. The differences between AIS and MIA solid portion and their overall left-right diameter (LRD), anteroposterior diameter (APD), suprainferior diameter (SID), Average Density (DAVG), Non-Solid portion Volume (VNS), Solid portion Volume (VS), Total Volume (VT), percentage of Solid portion Volume (VS%), morphological features were compared. The diagnostic effectiveness of the two-dimensional manual measurements of nodule maximum diameter were compared to assess the diagnostic value of GE Lung VCAR software. Results: There’s statistical difference (P<0.05) between two-dimensional manual measurement of the maximum diameter and software analysis of the AIS group and the MIA group to obtain the solid nodule and the total three-segment, VS, VT, VS%, nodular morphology, burr sign, nodule-vessel relationship, number of vessel involvement. GE Lung VCAR software showed high diagnostic efficiency compared with manual measurement on nodule size. The diagnostic efficiency from high to low ranked as follows: involved vessel amount, spicule sign, overall LRD, solid APD, VT, VS. The optimal cutoff values were: three involved vessels, short spicule sign, overall LRD: 14.5 mm, solid APD: 8.5 mm, VT: 802 mm3, VS: 133 mm3. Conclusion: GE Lung VCAR software has practical value in the CT diagnosis of ground glass nodule. It is a useful supplement to identify AIS and MIA.

Key words： lung neoplasms adenocarcinoma in situ minimally invasive adenocarcinoma tomography, X-ray computer

Received: 29 September 2017

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	JI Xiaowei
	FU Gangze
	LI Wenbin
	YANG Yunjun
	CHEN Cong
	CAI Mengting
	WU Enfu.

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https://xb.wmu.edu.cn/EN/ OR https://xb.wmu.edu.cn/EN/Y2018/V48/I10/735

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