To explore the correlation between high resolution CT (HRCT) imaging findings o
f pure ground-glass nodules (pGGN) and pathological subtypes of lung adenocarcinoma
and to evaluate the predictive value of HRCT for pathological subtypes of lung adenocarcinoma with pGGN.
Methods:
Retrospective analysis of 90 patients with pGGN confirmed by surgery and pathology in Nanping First Hospital of Fujian. The imaging signs were observed
including the location and size of the lesion (maximum diameter on the thin-slice CT image)
the edge of the lesion
internal signs of focus (cavitation sign
air bronchus sign)
vascular changes and the tumor-lung interface.
Results:
The lobulation
vacuolization
air bronchus
vascular changes
and tumor-lung interface of pGGN were statistically significant among the three pathological subtypes (
2
=34.939
10.355
6.503
66.031
11.911;
P
<0.05). However
the lesions
burrs
and pleural indentations between the pathological subtypes were not statistically significant (
2
=5.230
3.413
3.211;
P
>0.05). Among the three groups of pGGN lesions
the invasive lesion group [(17.88.9) mm]> microinvasive lesion group [(11.55.5) mm]> pre-invasive lesion group [(9.43.4) mm]
the difference was statistical significance (
U
=17.535;
P
<0.05). There were significant differences in the size of the lesions between the invasive adenocarcinoma group and the pre-invasion group or micro-invasion group (
P
<0.01)
but there was no significant difference between the pre-invasiongroup and micro-invasion group (
P
=0.172). The optimal threshold of the size of the lung infiltrating group and the invasive group was 1.38 cm
and the sensitivity and specificity of the diagnosis were 80.8% and 81.8% respectively. The area under the curve was 0.762.
Conclusion:
The HRCT signs of pGGN in the lung can provide important guidance for assessing the degree of invasion. The lesion size
lobulation
vacuolization
air bronchus
vascular changes
and the tumo
r-lung interface of lung and lung adenocarcinoma have certain diagnosis value.
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Related Author
KONG Fanbin nbsp
GONG Xin
NING Yan
DING Mengjuan
JIANG Xuemei
SHEN Jiaqi
PENG Xiaojuan
LI Peiqi
Related Institution
Department of Ultrasound, Obstetrics and Gynecology Hospital, Fudan University
Department of Pathology, Obstetrics and Gynecology Hospital, Fudan University
Department of Nuclear Medicine, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China
Medical Imaging School, North Sichuan Medical College, Nanchong
Department of Ultrasound, Xiamen Branch, Zhongshan Hospital, Fudan University