Lung transplantation is the last therapy option for patients with advanced lung diseases but the shortage of donor lungs currently is a large challenge. We used a polarization-sensitive optical coherence tomography (PS-OCT) system to obtain the distribution and quantification of alveolus and fibrous tissues. Our results showed that the distribution of alveolus and fibrosis was various at different locations on the lung. PS-OCT was able to provide effective quantifications of the alveolus density and size, and the fibrous tissues verified by the histology results. PS-OCT could serve as a promising tool for assessing the quality of donor lungs.
Kidney transplantation faces a worldwide shortage due to the lack of reliable assessment for screening qualified donor kidneys for transplantation. We evaluated the feasibility of using polarization-sensitive optical coherence tomography (PS-OCT) to provide a score map covering the entire surface of a kidney to evaluate the pre-transplantation kidney quality. Multiple histology staining and two-photon microscopy (TPM) were used to provide verification standards for microstructures, tissue distributions, and fibrosis in PS-OCT imaging. Our results indicated that PS-OCT was a reliable method for noninvasively imaging kidney microstructure and fibrosis matching the pretransplant scoring system for assessing the quality of pre-transplantation kidneys.
Percutaneous nephrostomy (PCN) is a minimally invasive procedure used in kidney surgery. PCN needle placement is of great importance for the following successful renal surgery. In this study, we designed and built an endoscopic polarization-sensitive optical coherence tomography (PS-OCT) system for the PCN needle guidance. Compared to traditional OCT, PS-OCT will allow more accurate differentiation of the renal tissue types in front of the needle. In the experiment, we imaged different renal tissues from human kidneys using the PS-OCT endoscope. Furthermore, deep learning methods were applied for automatic recognition of different tissue types.
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