研究目的
To evaluate CKD in a murine model induced by intravenous Adriamycin (ADR) injection using OCT and to develop a CAD system based on ConvNet to automatically detect and quantify tubular diameter and hypertrophic tubule population from OCT images.
研究成果
OCT is able to evaluate living kidney microstructure and function in CKD models. The CAD software can automatically detect, measure, and quantify features in the kidney images related to CKD progression, providing a useful tool for medical doctors to quickly scan through large image databases.
研究不足
1. The animal experiment design to observe the progression of CKD can be improved by continuous monitoring of the same animal.
2. The selection of imaging locations on the kidney can be biased by the operator.
3. The OCT probe needs to be held closely to the kidney surface, which could be invasive.
1：Experimental Design and Method Selection:
A murine model of CKD was induced by injection of ADR into Munich-Wistar rats. OCT was used to image the kidneys weekly for eight weeks. A CAD system based on ConvNet was developed to analyze the OCT images.
2：Sample Selection and Data Sources:
Munich-Wistar rats were used as the animal model. OCT images of the rat kidneys were captured every week up to eight weeks.
3：List of Experimental Equipment and Materials:
A custom-built Fourier-domain OCT system was used, operating at 1310-nm center wavelength with 100-nm bandwidth. The system has axial and lateral resolutions of 12 and 6 μm, respectively.
4：Experimental Procedures and Operational Workflow:
Rats were anesthetized, and the left kidney was exposed and imaged using OCT. Following in vivo OCT evaluation, the kidneys were fixed in situ and excised for further analysis.
5：Data Analysis Methods:
A CAD software was developed to automatically detect and measure features related to CKD progression, including tubular diameter and hypertrophic tubule population.
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