Characteristic Changes and 3D Virtual Measurement of Lung CT Image Parameters in the Drowning Rabbit Model.
10.12116/j.issn.1004-5619.2019.01.001
- Author:
Jun Qi JIAN
1
;
De Yuan DENG
2
;
Lei WAN
3
;
Dong Hua ZOU
3
;
Zhuo Qun WANG
3
;
Ning Guo LIU
3
;
Yi Jiu CHEN
3
Author Information
1. Department of Forensic Medicine, Medical College of Soochow University, Suzhou 215123, Jiangsu Province, China.
2. Water Public Security Bureau, Shanghai Public Security, Shanghai 200002, China.
3. Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China.
- Publication Type:Journal Article
- Keywords:
drowning;
forensic pathology;
lung;
maging, three-dimensional;
rabbis;
virtopsy
- MeSH:
Animals;
Drowning;
Lung/diagnostic imaging*;
Rabbits;
Tomography, X-Ray Computed
- From:
Journal of Forensic Medicine
2019;35(1):1-4
- CountryChina
- Language:English
-
Abstract:
OBJECTIVES:To use virtual anatomy technique in the analysis of post-mortem characteristic changes of CT images in the experimental drowning rabbit model and the related parameters in 3D virtual model, so as to explore its application value in the diagnosis of drowning in forensic pathology.
METHODS:A model of drowning rabbits was established, with animal models of hemorrhagic shock and mechanical asphyxia as the controls. CT scan was performed on the experimental animals, and the differences in imaging features between the groups were compared by morphological reading of the tomographic images. CT data were imported into Mimics 14.0 software for 3D modeling. The CT values and lung volumes were calculated by the software, and the differences on CT values and lung volumes brought by different causes of death were analyzed.
RESULTS:The CT images of lungs in the drowning group showed characteristic ground-glass opacity （diffuse and uniform density increase）. There were no obvious abnormalities in hemorrhagic shock group, and only a few similar changes were found in the mechanical asphyxia group. Compared with the controls, the CT values and the lung volumes in the drowning group were significantly increased P<0.05.
CONCLUSIONS:Based on post-mortem lung imaging, the combination of CT value and lung volume changes can effectively reflect the virtual anatomical features in drowning, and provide a diagnostic basis for the forensic identification of drowning.
