Classifying murine glomerulonephritis using optical coherence tomography and optical coherence elastography.
Classifying murine glomerulonephritis using optical coherence tomography and optical coherence elastography.
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DOI：
10.1002/jbio.201500269
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发表时间：
2016-08
影响因子：
2.8
通讯作者：
Larin KV
中科院分区：
文献类型：
--
作者：
Liu CH;Du Y;Singh M;Wu C;Han Z;Li J;Chang A;Mohan C;Larin KV
急性肾小球肾炎，如由抗肾小球基底膜疾病引起的肾炎，病死率高。主要原因是通过血液检查、尿液分析、组织活检或超声和X射线计算机断层成像延迟诊断。基于血液、尿液和组织的诊断可能很耗时，而超声波和CT成像的空间分辨率相对较低，灵敏度较低。光学相干层析成像是一种非侵入性的高分辨率成像技术，与超声和CT相比，它提供了更高的空间分辨率(微米级)。可以基于从OCT信号分析的光学度量来检测组织属性的变化，例如光学衰减和散斑变化。此外，OCT不像CT成像那样依赖电离辐射。除了结构上的变化，肾脏的弹性也会因为肾炎而发生显著的变化。在这项工作中，OCT已经被用来量化健康和肾病小鼠肾脏之间的组织特性的差异。虽然OCT成像可以识别病变组织，但其分类精度在临床上是不够的。通过将光学度量与弹性相结合，分类准确率从76%提高到95%。结果表明，OCT结合OCE可作为肾炎诊断和分型的有力工具。因此，OCT/OCE方法有可能成为肾小球肾炎进展和治疗过程中的纵向研究的一种微创工具，作为补充，或许可以替代高侵袭性组织活检。常用的CT、MRI、US等影像平台不适合检测肾小球肾炎。在这里，我们结合使用光学相干层析成像(OCT)和光学相干弹性成像(OCE)，以共同捕捉微米空间分辨率的结构和弹性信息。结果表明，OCT/OCE能够以95%的准确率区分肾炎肾脏和健康对照组，这表明该技术在临床微创肾小球肾炎检测中具有良好的应用前景。
Acute glomerulonephritis such as those caused by anti-glomerular basement membrane disease is marked by high mortality. The primary reason for this is delayed diagnosis via blood examination, urine analysis, tissue biopsy, or ultrasound and X-ray computed tomography imaging. Blood, urine, and tissue-based diagnoses can be time consuming, while ultrasound and CT imaging have relatively low spatial resolution, with reduced sensitivity. Optical coherence tomography is a noninvasive and high-resolution imaging technique that provides superior spatial resolution (micron scale) as compared to ultrasound and CT. Changes in tissue properties can be detected based on the optical metrics analyzed from the OCT signals, such as optical attenuation and speckle variance. Furthermore, 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, OCT has been utilized to quantify the difference in tissue properties between healthy and nephritic murine kidneys. Although OCT imaging could identify the diseased tissue, its classification accuracy is clinically inadequate. By combining optical metrics with elasticity, the classification accuracy improves from 76% to 95%. These results show that OCT combined with OCE can be a powerful tool for identifying and classifying nephritis. Therefore, OCT/OCE method could potentially be used as a minimally-invasive tool for longitudinal studies during the progression and therapy of glomerulonephritis as well as complement and, perhaps, substitute highly invasive tissue biopsies. Commonly used imaging platforms such as CT, MRI and US are not suitable for detecting glomerulonephritis. Here, we combine the use of optical coherence tomography (OCT) and optical coherence elastography (OCE) in order to co-capture structural and elastic information with micrometer spatial resolution. The results show that OCT/OCE was able to distinguish nephritic kidneys from healthy controls with 95% prediction accuracy, which suggesting a promising application of the presented technique in clinical glomerulonephritis detection using minimally-invasive procedures.