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Tuesday, November 24th, 2020

 

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Title:
Image Analysis of Early Lung Adenocarcinoma and Its Significance in Pathological Typing
Authors:  Jiao Luo, M.D., Rong Duan, M.D., Hui Li, M.D., and Hong Shen, Ph.D.
  Objective: To quantitatively analyze the histopathological features and explore the application value of image analysis parameters in different pathological types of early lung adenocarcinoma.
Study Design:
A total of 94 surgical specimens of early lung adenocarcinoma were collected and classified into adenocarcinoma in situ (AIS), microinvasive adenocarcinoma (MIA), and lepidic predominant adenocarcinoma (LPA). In each case, 10 relatively intact glands were photographed under 20-fold objective lens, and 100–150 cells in the corresponding gland cavity were photographed under 40-fold objective lens. The relationship between AIS, MIA, LPA, and related parameters were statistically analyzed.
Results:
There were significant differences in generalized line reference number density of cancer cells in glands, the adhesion rate of nucleus in glands and the nucleolus occurrence rate in glands, the maximum distance between glands, nuclear area, long axis, short axis, and nuclear perimeter in the AIS, MIA, and LPA (p<0.05). However, nuclear roundness, nuclear regulatory shape factor, and the minimum distance between glands were not significantly different among AIS, MIA, and LPA (p>0.05).
Conclusion:
The generalized line reference number density of cancer cells in glands, the adhesion rate of nucleus in glands, the nucleolus occurrence rate in glands, the maximum distance between glands, and nucleus morphometric parameters have important application value in the quantitative analysis of early lung adenocarcinoma and can be used as quantitative parameters for the differential diagnosis of AIS, MIA, and LPA.
Keywords:  early lung adenocarcinoma; image analysis; image processing, computer-assisted; lung cancer quantitative study; pathological typing
   
   
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