Real-Time Viability Assessment of Ex Vivo Mouse Kidneys for Transplant Applications Using Dynamic Optical Coherence Tomography

Zhang, K.; Yan, F.; Valerio, T.; Yan, C.; Zhang, Q.; Liu, R.; Ma, X.; Liu, J.; Wang, C.; Vu, T.; Mutembei, B.; Pandit, K.; Silveyra, F.; Duong, D.; Hostetler, C.; Milam, A.; Nave, B.; Squires, R.; Yu, Z.; Fung, K.-M.; Battula, N.; Potter, S.; Pan, C.; Chen, W. R.; Martins, P.; Ling, Y.; Tang, Q.

doi:10.1101/2025.08.30.673280

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bioRxiv · 10.1101/2025.08.30.673280

Real-Time Viability Assessment of Ex Vivo Mouse Kidneys for Transplant Applications Using Dynamic Optical Coherence Tomography

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Abstract

Kidney transplantation remains the preferred treatment for patients with end-stage kidney disease. However, the ongoing shortage of donor organs continues to limit the availability of transplant treatments. Existing evaluation methods, such as the kidney donor profile index (KDPI) and pre-transplant donor biopsy (PTDB), have various limitations, including low discriminative power, invasiveness, and sampling errors, which reduce their effectiveness in organ quality assessment and contribute to the risk of unnecessary organ discard. In this study, we explored the dynamic optical coherence tomography (DOCT) as a real-time, non-invasive approach to monitor the viability of ex vivo mouse kidneys during static cold storage over 48 hours. The dynamic metrics logarithmic intensity variance (LIV), early OCT correlation decay speed (OCDSe), and late OCT correlation decay speed (OCDSl) were extracted from OCT signal fluctuations to quantify temporal and spatial tissue activity and deterioration. Our results demonstrate that DOCT provides complementary functional information to morphological assessment offered by conventional OCT imaging, showing potential to improve pre-transplant organ evaluation and clinic decision-making.

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Zhang, K., Yan, F., Valerio, T., Yan, C., Zhang, Q., Liu, R., Ma, X., Liu, J., Wang, C., Vu, T., Mutembei, B., Pandit, K., Silveyra, F., Duong, D., Hostetler, C., Milam, A., Nave, B., Squires, R., Yu, Z., Fung, K.-M., Battula, N., Potter, S., Pan, C., Chen, W. R., Martins, P., Ling, Y., Tang, Q.. 2025-09-04. Real-Time Viability Assessment of Ex Vivo Mouse Kidneys for Transplant Applications Using Dynamic Optical Coherence Tomography. https://doi.org/10.1101/2025.08.30.673280

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