1 December 2017 Optical coherence tomography and computer-aided diagnosis of a murine model of chronic kidney disease
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Abstract
Chronic kidney disease (CKD) is characterized by a progressive loss of renal function over time. Histopathological analysis of the condition of glomeruli and the proximal convolutional tubules over time can provide valuable insights into the progression of CKD. Optical coherence tomography (OCT) is a technology that can analyze the microscopic structures of a kidney in a nondestructive manner. Recently, we have shown that OCT can provide real-time imaging of kidney microstructures in vivo without administering exogenous contrast agents. A murine model of CKD induced by intravenous Adriamycin (ADR) injection is evaluated by OCT. OCT images of the rat kidneys have been captured every week up to eight weeks. Tubular diameter and hypertrophic tubule population of the kidneys at multiple time points after ADR injection have been evaluated through a fully automated computer-vision system. Results revealed that mean tubular diameter and hypertrophic tubule population increase with time in post-ADR injection period. The results suggest that OCT images of the kidney contain abundant information about kidney histopathology. Fully automated computer-aided diagnosis based on OCT has the potential for clinical evaluation of CKD conditions.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
Bohan Wang, Bohan Wang, Hsing-Wen Wang, Hsing-Wen Wang, Hengchang Guo, Hengchang Guo, Erik Anderson, Erik Anderson, Qinggong Tang, Qinggong Tang, Tong Tong Wu, Tong Tong Wu, Reuben Falola, Reuben Falola, Tikina Smith, Tikina Smith, Peter M. Andrews, Peter M. Andrews, Yu Chen, Yu Chen, } "Optical coherence tomography and computer-aided diagnosis of a murine model of chronic kidney disease," Journal of Biomedical Optics 22(12), 121706 (1 December 2017). https://doi.org/10.1117/1.JBO.22.12.121706 . Submission: Received: 30 August 2017; Accepted: 13 November 2017
Received: 30 August 2017; Accepted: 13 November 2017; Published: 1 December 2017
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