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9 March 2016 Combined optical coherence tomography and optical coherence elastography for glomerulonephritis classification
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Abstract
Acute Glomerulonephritis caused by anti-glomerular basement membrane disease has a high mortality due to delayed diagnosis. Thus, an accurate and early diagnosis is critical for preserving renal function. Currently, blood, urine, and tissue-based diagnoses can be time consuming, while ultrasound and CT imaging have relatively low spatial resolution. Optical coherence tomography (OCT) is a noninvasive imaging technique that provides superior spatial resolution (micron scale) as compared to ultrasound and CT. Pathological changes in tissue properties can be detected based on the optical metrics analyzed from the OCT signal, such as optical attenuation and speckle variance. Moreover, OCT does not rely on ionizing radiation as with CT imaging. In addition to structural changes, the elasticity of the kidney can significantly change due to nephritis. In this work, we utilized OCT to detect the difference in tissue properties between healthy and nephritic murine kidneys. Although OCT imaging could identify the diseased tissue, classification accuracy using only optical metrics was clinically inadequate. By combining optical metrics with elasticity, the classification accuracy improved from 76% to 95%. These results show that OCT combined with OCE can be potentially useful for nephritis detection.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chih-Hao Liu, Yong Du, Manmohan Singh, Chen Wu, Zhaolong Han, Jiasong Li, Qais Mohammadzai, Raksha Raghunathan, Thomas Hsu, Shezaan Noorani, Anthony Chang, Chandra Mohan, and Kirill V. Larin "Combined optical coherence tomography and optical coherence elastography for glomerulonephritis classification", Proc. SPIE 9710, Optical Elastography and Tissue Biomechanics III, 97100M (9 March 2016); https://doi.org/10.1117/12.2208485
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