Automated lipid-rich plaque detection with short wavelength infra-red OCT system
Automated lipid-rich plaque detection with short wavelength infra-red OCT system
复制标题
使用短波长红外 OCT 系统自动检测富含脂质的斑块
DOI：
10.1093/ehjci/jex304
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Tanaka A
中科院分区：
文献类型：
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作者：
Shimokado Aiko;Kubo Takashi;Nishiguchi Tsuyoshi;Katayama Yosuke;Taruya Akira;Ohta Shingo;Kashiwagi Manabu;Shimamura Kunihiro;Kuroi Akio;Kameyama Takeyoshi;Shiono Yasutsugu;Yamano Takashi;Matsuo Yoshiki;Kitabata Hironori;Ino Yasushi;Hozumi Takeshi;Tanaka A
易损冠状动脉斑块的特征是大的脂质核心。尽管市售的光学相干断层扫描（OCT）系统使用1300 nm波长的近红外光，但脂质在1700 nm处显示出特征吸收。因此，我们开发了一种新的，短波长红外，光谱，本研究的目的是评估短波长（1700 nm）红外光学相干断层扫描（SWIR-OCT）的准确性，用于识别冠状动脉plaques.Methods和resultsTwenty-three冠状动脉从10具尸体在生理压力下成像与2.7 Fr SWIR-OCT导管内的脂质组织。当观察到无血图像时，使用自动回撤装置以20 mm/s的速率回撤SWIR-OCT成像核心。以94帧/秒采集SWIR-OCT图像并进行数字存档。SWIR-OCT通过使用脂质分析算法生成所有斑块的灰度横截面图像和彩色组织图。SWIR-OCT成像后，动脉被压力固定，用低温恒温器切片并用油红O染色，然后在匹配的图像中收集相应的组织学。从组织学中选择的感兴趣区域为117个纤维化/钙化区域和34个纤维化/钙化区域。SWIR-OCT显示出识别冠状动脉斑块内脂质组织的高灵敏度（89%）和特异性（92%）。结论SWIR-OCT能准确识别冠状动脉尸检标本中的脂质组织，其阳性预测值为97%，阴性预测值为74%。这项新技术有望用于识别有破裂风险的冠状动脉斑块的组织病理学特征。
AimsVulnerable coronary plaque is characterized by a large lipid core. Although commercially-available optical coherence tomography (OCT) systems use near-infrared light at 1300 nm wavelength, lipid shows characteristic absorption at 1700 nm. Therefore, we developed a novel, short wavelength infra-red, spectroscopic, spectral-domain OCT. The aim of the present study is to evaluate the accuracy of short wavelength (1700 nm) infra-red optical coherence tomography (SWIR-OCT) for identification of lipid tissue within coronary plaques.Methods and resultsTwenty-three coronary arteries from 10 cadavers were imaged at physiological pressure with 2.7 Fr SWIR-OCT catheter. When a blood-free image was observed, the SWIR-OCT imaging core was withdrawn at a rate of 20 mm/s using an automatic pullback device. SWIR-OCT images were acquired at 94 frames/s and digitally archived. SWIR-OCT generated grey-scale cross sectional images and colour tissue maps of all of the plaque by using a lipid analysis algorithm. After SWIR-OCT imaging, the arteries were pressure-fixed, sliced by cryostat and stained with Oil Red O, and then corresponding histology was collected in matched images. Regions of interest, selected from histology, were 117 lipidic and 34 fibrotic/calcified regions. SWIR-OCT showed high sensitivity (89%) and specificity (92%) for identifying lipid tissue within coronary plaques. The positive predictive value and negative predictive value were 97% and 74%, respectively.ConclusionSWIR-OCT accurately identified lipid tissue in coronary autopsy specimens. This new technique may hold promise for identifying histopathological features of coronary plaque at risk for rupture.