Habbel Christopher, Hetterich Holger, Willner Marian, Herzen Julia, Steigerwald Kristin, Auweter Sigrid, Schüller Ulrich, Hausleiter Jörg, Massberg Steffen, Reiser Maximilian, Pfeiffer Franz, Saam Tobias, Bamberg Fabian
From the *Institute of Clinical Radiology, Ludwig-Maximilian University; †German Center for Cardiovascular Disease Research (DZHK e.V.), Munich; ‡Lehrstuhl für Biomedizinische Physik, Physik-Department & Institut für Medizintechnik, Technische Universität München, Garching; §German Heart Center of the State of Bavaria and the Technical University Munich; ∥Center for Neuropathology, Ludwig-Maximilian University, Munich; ¶Institute of Neuropathology, University Medical Center Hamburg-Eppendorf; #Research Institute Children's Cancer Center; **Department of Pediatric Hematology and Oncology, University Medical Center Hamburg-Eppendorf, Hamburg; ††Institute for Medical Information Sciences, Biometry and Epidemiology, Ludwig-Maximilian University, Munich; ‡‡Medizinische Klinik I and Poliklinik, Ludwig-Maximilian University, Munich; and §§Department of Diagnostic and Interventional Radiology, University of Tübingen, Tübingen, Germany.
Invest Radiol. 2017 Apr;52(4):223-231. doi: 10.1097/RLI.0000000000000346.
The aim of this study was to determine the diagnostic accuracy of grating-based phase-contrast computed tomography (gb-PCCT) to classify and quantify coronary vessel characteristics in comparison with optical coherence tomography (OCT) and histopathology in an ex vivo setting.
After excision from 5 heart specimens, 15 human coronary arteries underwent gb-PCCT examination using an experimental imaging setup consisting of a rotating molybdenum anode x-ray tube, a Talbot-Lau grating interferometer, and a single photon counting detector. Subsequently, all vessels were imaged by OCT and histopathologically processed. Optical coherence tomography, gb-PCCT, and histopathology images were manually matched using anatomical landmarks. Optical coherence tomography and gb-PCCT were reviewed by 2 independent observers blinded to histopathology. Vessel, lumen, and plaque area were measured, and plaque characteristics (lipid rich, calcified, and fibrous) were determined for each section. Measures of diagnostic accuracy were derived, applying histopathology as the standard of reference.
Of a total of 286 assessed cross sections, 241 corresponding sections were included in the statistical analysis. Quantitative measures derived from gb-PCCT were significantly higher than from OCT (P < 0.001) and were strongly correlated with histopathology (Pearson r ≥0.85 for gb-PCCT and ≥0.61 for OCT, respectively). Results of Bland-Altman analysis demonstrated smaller mean differences between OCT and histopathology than for gb-PCCT and histopathology. Limits of agreement were narrower for gb-PCCT with regard to lumen area, for OCT with regard to plaque area, and were comparable with regard to vessel area. Based on histopathology, 228/241 (94.6%) sections were classified as fibrous, calcified, or lipid rich. The diagnostic accuracy of gb-PCCT was excellent for the detection of all plaque components (sensitivity, ≥0.95; specificity, ≥0.94), whereas the results for OCT showed sensitivities of ≥0.73 and specificities of ≥0.66.
In this ex vivo setting, gb-PCCT provides excellent results in the assessment of coronary atherosclerotic plaque characteristics and vessel dimensions in comparison to OCT and histopathology. Thus, the technique may serve as adjunct nondestructive modality for advanced plaque characterization in an experimental setting.
本研究旨在确定基于光栅的相衬计算机断层扫描(gb-PCCT)在体外环境中与光学相干断层扫描(OCT)和组织病理学相比,对冠状动脉特征进行分类和量化的诊断准确性。
从5个心脏标本中切除后,15条人冠状动脉使用由旋转钼靶阳极X射线管、塔尔博特-劳光栅干涉仪和单光子计数探测器组成的实验成像装置进行gb-PCCT检查。随后,对所有血管进行OCT成像并进行组织病理学处理。使用解剖标志手动匹配光学相干断层扫描、gb-PCCT和组织病理学图像。由2名对组织病理学不知情的独立观察者对光学相干断层扫描和gb-PCCT进行评估。测量血管、管腔和斑块面积,并确定每个切片的斑块特征(富含脂质、钙化和纤维状)。以组织病理学作为参考标准,得出诊断准确性的指标。
在总共286个评估的横截面中,241个相应的切片被纳入统计分析。gb-PCCT得出的定量指标显著高于OCT(P<0.001),并且与组织病理学密切相关(gb-PCCT的Pearson相关系数r≥0.85,OCT的r≥0.61)。Bland-Altman分析结果表明,OCT与组织病理学之间的平均差异小于gb-PCCT与组织病理学之间的差异。gb-PCCT在管腔面积方面的一致性界限更窄,OCT在斑块面积方面的一致性界限更窄,在血管面积方面两者相当。基于组织病理学,241个切片中的228个(94.6%)被分类为纤维状、钙化或富含脂质。gb-PCCT对所有斑块成分的检测诊断准确性极佳(敏感性≥0.95;特异性≥0.94),而OCT的结果显示敏感性≥0.73,特异性≥0.66。
在这种体外环境中,与OCT和组织病理学相比,gb-PCCT在评估冠状动脉粥样硬化斑块特征和血管尺寸方面提供了出色的结果。因此,该技术可作为实验环境中用于高级斑块特征描述的辅助非破坏性方法。