Abstract
Progress in understanding, diagnosis, and treatment of coronary artery disease (CAD) has been hindered by our inability to observe cells and extracellular components associated with human coronary atherosclerosis in situ. The current standards for microstructural investigation, histology and electron microscopy, are destructive and prone to artifacts. The highest resolution intracoronary imaging modality, optical coherence tomography (OCT), has a resolution of ~10μm, which is too coarse for visualizing most cells. Here we report a new form of OCT, termed μOCT that has an order of magnitude improved resolution. We show that μOCT images of cadaver coronary arteries provide clear pictures of cellular and subcellular features associated with atherogenesis, thrombosis, and response to interventional therapy. These results suggest that μOCT can complement existing diagnostic techniques for investigating atherosclerotic specimens today and may in the future become a useful tool for cellular and subcellular characterization of the human coronary wall in vivo.
CAD and one of its more serious clinical manifestations, acute myocardial infarction (AMI), is a major cause of mortality worldwide. Because of the impact of this disease, topics relevant to the pathophysiology of CAD, such as the development and progression of coronary atherosclerotic lesions, plaque rupture and coronary thrombosis, and the arterial response to coronary device and pharmacologic therapies are of great importance in medicine. These biological processes, mediated by cells and extracellular components, including endothelium, leukocytes, macrophages, smooth muscle cells, platelets, and fibrin, occur on a microscopic scale. The development of tools for visualizing coronary artery microstructure at the subcellular level in intact human tissue, and ideally within living patients, could therefore open up new opportunities for the study, diagnosis, and treatment of CAD.
Unfortunately, methods for visualizing human coronary atherosclerosis at the subcellular level are limited. Much of our understanding of CAD is based on histologic analysis of stained thin sections from autopsy specimens,1–4 which provide a static snapshot of the coronary artery’s morphology after the patient has died. As histology is subject to artifact, it provides information that is not wholly representative of the tissue in its native state. Furthermore, hundreds of histopathology slides may be required to find specific cellular features because a single slide samples a very small portion of the specimen. Electron microscopy, including scanning electron microscopy (SEM) and transmission electron microscopy (TEM), used to evaluate the luminal surface and thin sections of the artery wall, respectively, has similar limitations.5–7
We have even fewer tools for investigating cellular-level microstructure of CAD in patients. The highest resolution coronary imaging modality is intravascular OCT, a catheter-based technique that provides depth-resolved, cross-sectional images of tissue reflectance. With an axial (depth) resolution of approximately 10 μm and a lateral resolution of 30–40 μm,8–11 intracoronary OCT is capable of characterizing the architectural morphology of plaque at resolution that is 10 times better than intravascular ultrasound (IVUS), the preceding technology for high-resolution imaging of the coronary wall. Current 10-μm resolution intracoronary OCT technology is incapable of identifying individual cells or subcellular structures.
In order to visualize tissue at the cellular level, researchers have continued to push the resolution limits of cross-sectional OCT imaging systems12–18 in an attempt to achieve an axial resolution of ≤ 1 μm and a lateral resolution of ≤ 2 μm in tissue, a class of imaging techniques that we term μOCT. We have recently constructed a μOCT system that utilizes a very broad bandwidth light source and common-path19 spectral-domain OCT (SD-OCT)20 technology to provide 1-μm-axial resolution ranging in tissue (Supplementary Fig. 1). An annularly apodized,15 objective lens focuses light within the tissue (Supplementary Fig. 1), providing a lateral resolution of 2 μm. Apodization and chromatic dispersion allow this lateral resolution to be maintained over an extended focal depth.
These technical advances enable cross-sectional imaging of human tissue with axial and lateral resolutions that are approximately an order of magnitude better than conventional OCT systems and devices. This order of magnitude resolution improvement of μOCT may make it possible to image coronary artery microstructure at a scale that is comparable to histopathology (Fig. 1). In this paper, we present μOCT images of human coronary plaques, which demonstrate the potential of this technology for future study and diagnosis of this prevalent disease.
RESULTS
Our μOCT system obtains images at a rate of 8 frames per second with a resolution of 2 μm × 2 μm × 1 μm (x, y, z) in tissue. We used the μOCT system to image fresh human coronary arteries prosected from explant (donor) hearts. Additional μOCT data was acquired from endothelial cell cultures as well as swine coronary arteries prepared to preserve endothelial morphology. All μOCT images in this paper were acquired in three-dimensions from the luminal surface.
Endothelial cells
Endothelial cells are the gatekeepers for passage of low-density lipoprotein (LDL) and leukocytes into the intima, perform important signalling roles for atherogenesis, plaque progression and regression, and are indicators of arterial healing following stent implantation.21 In order to demonstrate the capability of μOCT to visualize endothelium, we first imaged cultured cells in vitro. A cross-sectional μOCT image of the endothelial cell culture, demonstrated raised structures (arrows) that correspond to cell bodies (Supplementary Fig. 2a). A transverse image of the cultured endothelial cells, derived by reslicing the three-dimensional μOCT image, showed a confluence of stellate-shaped cells (Supplementary Fig. 2b). Two-dimensional μOCT images of swine coronary artery allowed the visualization of endothelial cells in situ and also an underlying bright structure that is consistent with an internal elastic lamina (Supplementary Fig. 2c). Three-dimensional volume rendering of the μOCT data showed evidence of endothelial cell “pavementing” (Fig. 2a) that is similar to what one might see by SEM.
Leukocyte adhesion and diapedesis
Leukocyte (T-cell and monocyte) attachment and influx into the intima are key cellular responses that contribute to the formation of atherosclerotic lesions. We discovered that μOCT is capable of visualizing cells likely to be leukocytes adherent to the endothelial surface of human coronary plaques (Figs. 2b–d). μOCT images of presumed leukocyte nuclei demonstrated low image intensity, while the cytoplasm had a comparatively high intensity. This finding suggests that it may be possible to use μOCT to further classify these adherent cells as lymphocytes (small cells with scant cytoplasm), monocytes (larger cells with more abundant cytoplasm and bean-shaped nucleus), and neutrophils (multilobulated nucleus) based on subcellular morphology (Figs. 2b–d). In some μOCT frames, we were also able to visualize processes emanating from these cells, with microstructures reminiscent of pseudopods attaching their bodies to the endothelial surface (Fig. 2e, arrows). Evidence of transmigration was seen by μOCT as an extension of leukocyte cell bodies, presumably monocytes, through the endothelial barrier into the intima (Fig. 2f).
Platelets and fibrin
Thrombus formation, initiated by platelet and fibrin accumulation, is the ultimate pathophysiologic event that leads to coronary artery blockage. Fibrin is also a marker for inadequate healing over drug-coated stents.21 Different microscopic clot morphologies could be visualized by μOCT, including arrays of linear structures consistent with fibrin strands (Fig. 2g) and thrombi containing emmeshed cells, presumably leukocytes, and small, highly scattering structures that appear to be platelets with dimensions of 2–3 μm (Fig. 2h).
Macrophages
Once within the intima, monocytes differentiate into macrophages and engulf LDL that has been oxidized by cell byproducts.22,23 A cycle of cellular signalling and recruitment ensues, resulting in a lesion comprised of collagen, produced by smooth muscle cells, and lipid, which emanates from a variety of sources, including LDL, engorged macrophages (foam cells), and apoptotic macrophages.24 μOCT images of coronary plaque macrophages appeared as highly scattering, flocculent, round or ellipsoidal cells that are larger than monocytes (Fig. 3a). Spindle-shaped cells with similar high μOCT intensities were also observed in some coronary plaques (Fig. 3b).
Smooth muscle cells
Smooth muscle cells within coronary plaques appeared as spindle-shaped cells by μOCT (Fig. 3c). Two smooth muscle cell microstructural phenotypes were identified in our dataset; the first had a cell body with a low μOCT signal intensity (Fig. 3c, green arrow) and the second had a halo of low μOCT signal surrounding a highly scattering interior (Fig. 3c, red box and inset). Histology showed that smooth muscle cells with a low-intensity halo were producing a collagen matrix (Fig. 3c, inset).
Cholesterol crystals
Cholesterol crystals in atheromatous plaques have recently taken on a greater significance with the suggestion by Abela et al. that these crystals may penetrate and weaken fibrous caps, potentially leading to an increased risk of cap rupture.7 μOCT showed cholesterol crystals in exquisite detail as linear, highly reflecting structures within a necrotic core (Fig. 3d). Frequently the top and bottom surfaces of the crystals could be identified, representing reflectance from the interfaces between the crystals and the surrounding lipid (Fig. 3d). In one specimen, μOCT was able to resolve a small crystal penetrating through the cap (Fig. 3e).
Microcalcifications and superficial calcium
Microcalcifications have also recently been proposed as a mechanism for compromised cap mechanical integrity.25 μOCT images of microcalcifications showed accumulations of small, punctate high signal densities within caps and cores of fibroatheroma (Supplementary Fig. 3a). In addition to cap rupture, superficial calcium nodules have also been implicated as a substrate for acute coronary thrombosis and subsequent AMI.24 In one of our study’s specimens, μOCT images showed a calcium plate that was focally exposed to the lumen (Supplementary Fig. 3c). Fine linear structures that likely represent fibrin strands were seen adjoining the exposed calcium to the adjacent intima (Supplementary Fig. 3d), a finding that was confirmed by corresponding histology (Supplementary Fig. 3e).
Bare metal stents (BMS) and drug eluting stents (DES)
Imaging stent microstructure and the surrounding tissue is critical for understanding the response of the artery wall to these implants and for assessing whether or not a stent has adequately healed in order to guide anti-clotting pharmacologic management. By conducting μOCT imaging of undeployed stents, we were able to visualize the polymer coating on drug eluting stents, which appeared as clear rims of material around the metallic struts (Supplementary Fig. 4a). We also found, that at least for one DES type, the μOCT intensity of the polymer was higher when drug was present (Supplementary Fig. 4b). μOCT images of coronary plaques with BMS (Fig. 4a) and DES (Fig. 4b) showed the capability of this technology to visualize the presence and absence of polymer coating in situ, respectively.
DES pathology
We found that μOCT allowed the observation of significant heterogeneity in polymer thickness in many DES (Figs. 4c–f). In addition μOCT provided images of a diverse array of DES-related pathology including lifting of the polymer off of the metal strut (Figs. 4c, d), abnormal appearing adhesion of cells over areas of polymer defects (Fig. 4d), apparent cellular infiltrates around the polymer (Fig. 4e), and exposure of the polymer to the luminal surface, without any visible overlying endothelium (Fig. 4f).
DISCUSSION
These results establish that μOCT is capable of visualizing many key cellular and subcellular features relevant to atherogenesis, plaque rupture, thrombosis, and neointimal healing after stenting in situ. Because μOCT data is available in three-dimensions and is acquired from intact specimens in their fresh and native states, this technology affords many of the capabilities of three-dimensional histology and SEM in one modality, but with the fidelity, speed, and convenience of imaging in vivo. Based on these advantages of the μOCT technology, we believe that it has the potential to make a significant impact in the field of cardiovascular pathology and bench research.
Future development of μOCT for imaging in vivo is ongoing14–18 and new approaches for μOCT catheters are beginning to emerge.17 When implemented in a coronary catheter, μOCT could open up new opportunities for studying coronary atherosclerosis at the cellular and subcellular level in human patients. One important diagnostic area that could be improved by intracoronary μOCT is the identification and characterization of “vulnerable plaques” or coronary lesions that potentially precipitate thrombosis and AMI. A higher-resolution imaging modality, such as μOCT, that can observe cellular and subcellular features in patients’ coronary arteries could allow us to redefine and expand the definition of vulnerable plaque beyond the correlation of related observations to a clinical, cellular, and analytical definition with implications for CAD therapy and prevention of AMI. Intracoronary μOCT could also be a useful tool for monitoring patients who have undergone percutaneous coronary intervention (PCI) and stent implantation. A technique such as this, with sufficient resolution to assess DES strut fibrin or endothelial coverage in vivo, may also allow cardiologists to optimize dual antiplatelet therapy duration decisions on an individual patient basis. The ability of μOCT to visualize polymers could also be utilized to follow dissolution and healing of newer biodegradable stents or scaffolds.26
METHODS
μOCT systemand probe optics
OCT measures the electric field amplitude of light that is elastically scattered from within tissue in three dimensions. 8 Depth or axial (z) ranging is achieved by intereferometric measurement of the optical delay of light returned from the sample. μOCT as implemented in this manuscript is based on a form of OCT known as Spectral-domain OCT (SD-OCT). 20 SD-OCT involves parallel detection of spectral interference between light scattered at all depths and a reference, followed by Fourier analysis to obtain a depth-resolved scattering profile. The μOCT system and probe used in this paper differs from conventional OCT devices by employing a very broad bandwidth light source (800±150 nm laser-generated supercontinuum) and a common path reference arm to achieve 1-μm depth or axial (z) resolution. In order to achieve high transverse (x, y) resolutions, we used a relatively high numerical-aperture objective lens (numerical aperture = 0.12) to focus the beam onto the sample. We further engineered the focus of the probe beam with an annular apodizer, which reduced the focal spot size from 2.4 to 2.0 μm. Apodization and chromatic dispersion extended the focal depth to ~200 μm, enabling cross-sectional imaging at these high resolutions.
Visualization techniques
For selected images, two-dimensional sections were resliced from three-dimensional μOCT datasets using ImageJ.27 Volume renderings were computed and displayed using Osirix 3.6.
Human tissue specimens
We examined 80 arterial specimens (20 aorta and 60 coronary) from grossly diseased arterial segments. We obtained fresh aortic segments from National Development and Research Institute, Inc., harvested from patients with known cardiovascular disease and shipped in phosphate buffered saline (PBS) solution on ice within 24 hr post mortem. Coronary arteries were obtained from fresh explanted human hearts (n = 6: five male and one female with a mean age of 63.7±7.0) provided by Capital Bioscience, Inc. Explanted hearts were harvested from organ donors following cessation of vital signs, perfused with UW transplant solution and shipped on ice within 24 hrs post mortem. All patients had at least one coronary stent implanted between 2 weeks and 5 years post mortem. We prosected the major coronary arteries from the heart and opened them longitudinally. We identified regions of interest by gross visual inspection and conventional OFDI imaging. Prior to μOCT imaging, we immersed the specimens in PBS at 25 °C and covered them with a thin layer of PBS. We acquired μOCT images from the luminal surface. After imaging, we placed two small ink dots at the beginning of the scan volume to define the initial scan plane. The time between death and μOCT imaging did not exceed 48 hrs. After imaging, we photographed the specimens, fixed them in 10% neutral buffered formalin (Fisher Scientific), decalcified (Cal-Ex, Fisher Scientific), and processed them for routine paraffin-embedded histology. Starting at the registration plane, we captured 5 μm thick histology sections while sectioning through the tissue block. We stained the sections with Hematoxylin and Eosin. The Institutional Review Board at the Massachusetts General Hospital (IRB #2004P000578) approved the studies using human arterial tissues.
Swine coronary arteries
We acquired endothelium images from fixed swine coronary arteries. We prosected the heart from a sacrificed swine immediately following cessation of vital signs. We flushed the coronary arteries with 100 ml of PBS to remove blood, followed by pressure fixation with a 4% paraformaldehyde solution (US Biochemicals) at a pressure of 100 mm Hg for 30 minutes. We then prosected the fixed coronary segments from the heart, immersed them in a PBS solution at 37 °C, and imaged them with the luminal surface up. The Subcommittee for Animal Research Care at the Massachusetts General Hospital (IACUC 2007N000041) approved the use of discarded swine tissue for these studies.
Endothelial cell culture
Passage 8 Bovine Aortic Endothelial Cells (BAECs), obtained as a gift from Schepens Eye Research Institute and incubated in Dulbecco’s Modified Eagle Medium containing 10% fetal bovine serum, 1% L-Glutamine and 1% penicillin-streptomycin, were plated on Nunc® Cell culture coverslips coated with type 1 bovine collagen (50 mg/ml; BD Biosciences). After a confluent monolayer was achieved, we fixed the cells with 2% formalin (Sigma-Aldrich) prior to imaging.
Interpretation of the μOCT images
Using the fiducial ink marks as reference points, we attempted to match the μOCT data with corresponding histopathology images. Due to the subcellular resolution of μOCT, artifacts that occur during histologic processing, and the relatively imprecise nature of histopathology itself, it was difficult to obtain one-to-one cellular-level correlations between all of our images and corresponding microscopic slides. As a result, some μOCT observations are interpretations made by the senior author (G.J.T) who is a pathologist with expertise in coronary pathology.
Supplementary Material
Acknowledgments
We thank D. Winsor-Hines from Boston Scientific for providing stents that were used to create Supplementary Fig. 4. We also thank J. Zhao and the Wellman Center Photopathology lab for their expert histology processing. We also acknowledge G. Veytsman of Capital Biosciences, Inc. for assistance in obtaining explanted human hearts and the staff of Knight Surgical Laboratory, Massachusetts General Hospital, for obtaining swine arterial tissue. This research was supported by US National Institutes of Health (contracts R01HL076398 and R01HL093717).
Footnotes
AUTHOR CONTRIBUTIONS
L.L. developed the μOCT systems and participated in conducting the imaging studies and writing the manuscript. J.A.G. was responsible for specimen procurement and preparation, preparing the specimens for histopathology, and organizing all digital histopathology data. S.K.N. and J.D.T. prepared the endothelial cell cultures. Y.Y. digitized the histopathology slides using her full-slide scanning systems. L.L. and G.J.T. analyzed and processed the data. B.B. contributed to study design and participated in the analysis of the data. G.J.T. contributed to the design of experiments, interpretation of the μOCT image data, preparation of the manuscript, and supervised the overall project. All authors read and edited the manuscript.
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