| Literature DB >> 29197178 |
Bohan Wang1, Hsing-Wen Wang2, Hengchang Guo2, Erik Anderson3, Qinggong Tang2, Tongtong Wu4, Reuben Falola3, Tikina Smith5, Peter M Andrews3, Yu Chen1,2.
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) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE).Entities:
Keywords: chronic kidney disease; medical image processing; optical coherence tomography; proximal convolutional tubule
Mesh:
Year: 2017 PMID: 29197178 PMCID: PMC5745648 DOI: 10.1117/1.JBO.22.12.121706
Source DB: PubMed Journal: J Biomed Opt ISSN: 1083-3668 Impact factor: 3.170