Abstract
The microscopic tissue structure and organization influence the polarization of light. Intravascular polarimetry leverages this compelling intrinsic contrast mechanism by using polarization-sensitive optical frequency domain imaging to measure the polarization properties of the coronary arterial wall. Tissues rich in collagen and smooth muscle cells appear birefringent, while the presence of lipid causes depolarization, offering quantitative metrics related to the presence of important components of coronary atherosclerosis. Here, we review the basic principles, the interpretation of polarization signatures, and first clinical investigations of intravascular polarimetry and discuss how this extension of contemporary intravascular imaging may advance our knowledge and improve clinical practice in the future.
Key Words: Collagen, Intracoronary optical coherence tomography, Macrophage, Plaque composition, Polarized light, Smooth muscle cell
Intravascular optical coherence tomography (OCT) and optical frequency domain imaging (OFDI) use infrared light to visualize the subsurface microstructure of the coronary arterial wall with unparalleled high spatial resolution (approximately 10 µm and approximately 40 µm in the radial and lateral directions, respectively).1,2 Intracoronary OCT and OFDI have been well established for studying plaque morphology,3–6 guiding percutaneous coronary intervention,7,8 and monitoring vascular tissue response.9,10 Despite their high spatial resolution revealing rich structural details of atherosclerotic lesions, the scattering signal composing tomography images offers only limited insight into tissue and plaque composition,2,11–13 and consensus among expert readers on detailed plaque interpretation remains modest and qualitative.1,14,15 There is a clinical need to advance intravascular optical imaging by providing quantitative tissue characterization for improved percutaneous therapy.
Multimodal imaging that combines OCT with additional imaging modalities offers interesting perspectives,11,16 but requires dedicated imaging instrumentation that complicates clinical translation. Instead, we have been advancing polarization-sensitive (PS)-OFDI, which is an extension of OCT that measures the depth-dependent polarization state of the light scattered by tissue,17–19 and is closely compatible with current clinical OFDI instrumentation. Tissue with fibrillar architecture, such as interstitial collagen or arrayed smooth muscle cells (SMC), exhibits birefringence, an optical property that alters the polarization state of light propagating through these tissues, and offers a compelling intrinsic contrast mechanism. Collagen is a critical component of the arterial wall and imparts mechanical integrity to the fibrous cap, separating the lumen from an underlying necrotic core. Its synthesis by intimal SMC and degradation by matrix-metalloproteinases play a crucial role in plaque progression.20 The potential of PS-OCT to enhance the characterization of atherosclerotic lesions has been recognized early on.21–23 Using a PS-OCT microscope, Nadkarni et al quantitatively assessed birefringence in human aortic plaques ex vivo and demonstrated an association of birefringence with thick collagen fibers and the presence of SMC, substantiating the use of birefringence as a marker of plaque stability.23 Despite these promising results, translating PS imaging to catheter-based imaging compatible with a clinical setting proved challenging, notably because the polarization states transmitted through the catheter depend on its rotation,24 and because of the presence of system-induced polarization distortions.25 We then developed a signal processing strategy that mitigates the resulting artifacts26 and enabled, for the first time, measurement of depth-resolved birefringence through conventional intravascular OFDI catheters ex vivo26 and then in patients,27–29 besides other endoscopic and probe-based PS imaging.30,31 While the majority of PS-OCT applications leverages tissue birefringence as the contrast mechanism, PS imaging can also measure depolarization,32–34 which is related to the randomness of the detected polarization states. Depolarization complements birefringence for the polarimetric characterization of atherosclerotic tissue and was found to indicate the presence of lipid-rich plaque material and macrophages.26,28
Intravascular polarimetry (IVP) with PS-OFDI enables quantitative and objective tissue characterization in parallel to conventional structural OFDI through conventional intravascular catheters. Here, we review the working principles, interpretation, and first clinical results of IVP by highlighting results from our ex vivo and recent clinical studies.
Working Principles of PS-OFDI
Light is an electromagnetic wave and its electric and magnetic fields oscillate in a plane orthogonal to the propagation direction of the beam. The wavelength-swept light source used for OFDI generates light with a defined polarized state, which describes the oscillation pattern of the fields in this orthogonal plane. The polarization state is affected by propagation through tissue as well as the optical fiber and components in the imaging system. The rotation of the fiber-optic probe in the imaging catheter furthermore induces dynamic changes in the transmitted polarization states. OFDI measures the interference between scattered sample light and a reference beam, but only light with identical polarization states can interfere. Because the polarization state of the sample light varies as a function of catheter rotation and tissue depth, even conventional OFDI systems use 2 detection channels with orthogonal polarization states (Figure 1). The sample light is split between the 2 channels according to its specific polarization state and all the light is detected. Tomograms of conventional OFDI combine the 2 channels to measure the reflection intensity as a function of depth independent of polarization effects and catheter rotation.
PS-OCT analyzes the ratio and phase difference between the signals in the 2 detection channels to recover the polarization state of the detected sample light as a function of its depth travelled into the tissue.19 To unambiguously determine the sample-induced polarization variations with catheter-based PS-OCT independent of the fiber-induced polarization changes, we modulate the polarization state of the illumination light between consecutive depth-scans,35 although recent work suggests that a single input state may suffice.36 Tissue with fibrillar architecture, such as interstitial collagen or arrayed SMC, exhibits birefringence, which describes the difference in the tissue’s refractive index between light polarized parallel to the fibrillar tissue components and light having a perpendicular polarization. The relative phase delay (retardation) between these 2 principal polarization states causes a depth-dependent variation of the detected polarization state. Using our robust reconstruction strategy that mitigates polarization artifacts,37 we analyze the rate of change of the polarization states along depth to obtain a quantitative measure of depth-resolved tissue birefringence, ∆n.
In addition to the deterministic change of polarization with depth caused by tissue birefringence, multiple scattering and polarization-dependent scattering in tissue containing lipid and macrophage accumulations leads to a randomization of the detected polarization states.32,33,38 Evaluating the randomization of the detected polarization states in a small neighborhood around each pixel, we express depolarization as the ratio of the depolarized signal intensity to the total signal intensity (complement to 1 of the degree of polarization [1−degree of polarization]34). Depolarization ranges from 0 for completely polarized light without any randomness to one for completely random polarization states. In addition to tissue-induced depolarization, regions where the OFDI signal falls to the noise floor also appear depolarizing.
To provide a convenient visualization of the complementary information available with the polarimetric analysis and the conventional reflection signal, we use a color map that encodes the polarization metric as color hue and the conventional reflection signal as brightness (Figure 1). Birefringence maps display the range 0–1.8×10−3, and depolarization maps, the range 0–0.5. For maps of tissue birefringence, we further mask areas of increased depolarization, where the randomization of the polarization states frustrates a reliable measure of tissue birefringence, by simply displaying the conventional grayscale reflection tomogram.
Tissue Characterization With IVP
Figure 1C–E shows IVP of a fibroatheroma in the left anterior descending coronary artery in a 75-year-old male patient. The birefringence map enhances many features that are already perceptible in the conventional OFDI reflection image. The tunica media, for instance, appears as a pinkish band with relatively high birefringence, often bordered by fine yellow lines of low birefringence at the locations of the internal and external elastic laminae. In comparison, the contrast between the intimal tissue and the media in conventional tomograms is less pronounced. Additionally, the birefringence can vary across tissue layers that appear homogeneous in conventional tomograms, providing complementary insight. In Figure 1E, the fibrous cap exhibits a gradient of low to higher birefringence across its cap thickness in the area of 6–8 o’clock. The depolarization map indicates low depolarization throughout the full thickness of the vessel wall in areas of minimal disease. Slight depolarization is noticeable at the shoulders of the cap close to the lumen, and abrupt strong depolarization occurs in the lipid-rich plaque material below the fibrous cap.
While the polarization metrics enable quantitative analysis and reveal intrinsic optical properties of the tissue, there are several tissue components that contribute to the observable polarization effects. In order to investigate their respective contributions, we compared IVP of human cadaveric coronary arteries with matching histology.26 The main findings are summarized in Table, detailing the identified polarization properties along with their corresponding OFDI intensity features. Figure 2 displays an overview of characteristic tissue features of coronary atherosclerosis, showing both IVP images and matching histology.26 Quantitative analysis of segmented tissue types showed that the media featured the highest birefringence, followed by intimal regions containing fibrous tissue. Consistent with a previous microscopy PS-OCT study,23 our observation suggests that collagen fibers and SMC content are the main contributors to the birefringence measured with IVP. The highest depolarization was observed in advanced lesions showing lipid/necrotic core. This clear depolarization signature may improve the identification of fibroatheromas, for which conventional OFDI lacks specificity.39,40 We speculate that lipid droplets exceeding the size of the wavelength used for OFDI and small cholesterol crystals (CC) are the origin of the observed depolarization. Furthermore, Figure 2 shows PS-OFDI examples of calcification, CC, and macrophages with matching histology. With IVP, calcifications exhibit low birefringence and low depolarization when embedded in fibrous tissue but appear more depolarizing in lipid-rich lesions. The OFDI reflection signal shows CC as thin, linear regions of high intensity, frequently found in the fibrous cap covering a necrotic core or within the necrotic core.1 CC identified on conventional OFDI have been implicated in plaque vulnerability.41 Consistent with the known birefringence property and dimensions of CC, plaque regions containing small disordered CC depolarize and areas with larger or aligned CC additionally cause a birefringence signature.26 In reflection images confusion with microcalcifications is possible,42 and the additional polarization signatures may improve the objective identification of CC that has been speculated to be associated with rupture of the fibrous cap. Last, in conventional OFDI, macrophage accumulations in the fibrous cap cause signal-rich, distinct, bright spots, or confluent punctate regions.1 In IVP, superficial regions with macrophage accumulations were associated with subtle depolarization, which may aid in the automatic detection of macrophages by providing a quantitative metric.
Table.
Tissue type | Intensity | Birefringence | Depolarization |
---|---|---|---|
Normal intima | • Highly backscattering or signal rich | • Low to intermediate • Heterogeneous |
• Low |
Media | • Low backscattering or signal poor | • High • Homogenous |
• Low |
Fibrous tissue | • Homogeneous | • High • Heterogeneous |
• Low to intermediate |
Fibrous cap | • Homogeneous • High reflectivity • Low attenuation |
• Heterogeneous • Low to intermediate • Thin fibrous cap exhibits spotty appearance in birefringent region |
• Low to intermediate |
Lipid pool, necrotic core |
• High attenuation | • Moderate (to high) | • Moderate to high |
Calcification | • Low reflectivity and attenuation • Sharp edges |
• Low to intermediate, depending on underlying tissue components |
• Low to high, depending on underlying tissue components |
Macrophage | • Signal-rich, distinct, bright spots, or confluent punctate regions that exceed the intensity of background speckle noise |
• Low to intermediate | • Moderate |
Cholesterol crystal | • Thin and linear regions of high intensity | • High | • Moderate to high |
Thrombus (white thrombus) |
• Medium reflectivity • Low attenuation |
• Low | • Very low |
PS-OFDI, polarization-sensitive optical frequency domain imaging.
Repeatability of Polarimetry
Motivated by the promising results from the cadaver study, we conducted the first in-human pilot study of IVP at the Erasmus University Medical Center in Rotterdam, the Netherlands.27,28,43 Given that IVP is an extension of commercial OFDI (FastViewTM; Terumo, Tokyo, Japan) used in clinical practice, the PS-OFDI procedure is identical to that of conventional OFDI from the operator’s perspective. Given the promise of quantitative and objective polarization metrics and considering the previous struggle with artifactual PS images, the principal goal of this first study was to assess the robustness of IVP in a clinical setting. We evaluated the repeatability of the measured polarization properties by comparing repeat IVP pullbacks performed in 30 patients. Pearson correlation analysis indicated best agreement for the birefringence measurements, followed by the gray value of the reflection signal. Depolarization, with a correlation coefficient of 0.78, was the poorest, but still had very acceptable agreement.43 This important finding indicates that the polarization properties measured with IVP are sufficiently robust and reliable to serve for studying the polarization properties of coronary atherosclerosis in a clinical setting.
Polarimetry of Distinct Plaque Morphologies
After validating the repeatability of IVP measurements, we investigated the polarization metrics evaluated in the entire tunica intima of individual cross-sections between different plaque types, as classified using conventional OFDI morphological features, in the 30 patients imaged during the first-in-human pilot study (acute coronary syndrome [ACS], n=12; stable angina pectoris [SAP], n=18).28 Consistent with the previous histopathology,26 fibrous plaques had the highest birefringence. We observed that plaque birefringence is reduced in plaque subtypes that contain more lipid, while depolarization becomes more pronounced with the presence of lipid/necrotic core material.28
In the same study, we also confirmed that calcifications in fibrous regions have lower birefringence than those in lipid-rich regions.28 Calcification is closely related to disease burden in coronary atherosclerosis and serves as a common surrogate marker.44,45 Whereas small calcium deposits in coronary arteries have been shown to be associated with the presence of fibroatheromas, dense calcifications are a hallmark of stable plaques.44–46 Further research is warranted to investigate whether the polarization features of calcifications measured with IVP offer further insight into their association with plaque vulnerability.
Polarization Features of Fibrous Caps in ACS and SAP Lesions
We further evaluated the polarization properties locally in the fibrous caps of culprit lesions in patients with ACS and/or plaque rupture (PR) and compared them with the caps in SAP patients. Figure 3 shows the results of this analysis, together with a representative IVP example of each patient group. We observed that fibrous caps in ACS/PR patients had significantly lower birefringence than in SAP patients.28 This is consistent with histopathology,47 suggesting that ACS fibrous caps lack thick collagen fibers and layered SMC. Thick collagen fibers impart mechanical strength to fibrous caps48 and birefringence may serve as a biomarker of fibrous cap stability, complementing fibrous cap thickness and structural biomechanical stress.49 It is important to note that the influence of microcalcifications on the polarization properties remains unknown. Derived mainly from the apoptosis of SMC,47 these microscopic structures (5–15 μm) can be visualized only with the higher resolution of µOCT, which is not currently available in a clinical setting.50 Microcalcifications may exacerbate the reduction of birefringence in fibrous caps caused by their diminished collagen content.
Furthermore, histopathological studies have demonstrated that not only fibrous cap thickness but also the presence of inflammatory macrophages is an important determinant of PR.51 Analyzing the polarization properties of the thinnest part of the fibrous caps, we observed that depolarization was positively correlated with clinical presentation as ACS/PR and with the normalized standard deviation, an imaging metric derived from conventional OFDI reflection images that has been shown to correlate with macrophage content.52,53 Depolarization may help in the identification of macrophage accumulation within fibrous caps. Additionally, the pronounced depolarization caused by the necrotic core below the fibrous cap may offer an objective delineation of the cap border and assessment of cap thickness, which remains highly variable when assessed manually by expert OCT readers.15
ACS Without PR
The increase in prevalence of ACS caused by plaque erosion is attracting attention for improving diagnosis, management, and therapy of this second leading cause of ACS.4,54 Although definite diagnosis of plaque erosion in vivo remains challenging, clinical OCT studies suggest that ACS culprit lesions caused by plaque erosion exhibit few “vulnerable” features compared with those caused by PR.47 Histopathological studies have reported that eroded plaques generally correspond to negatively remodeled lesions having activated SMC embedded in a proteoglycan-rich matrix consisting primarily of collagen type III, hyaluronan, and versican,47 which would be expected to cause increased birefringence. In the pilot study of IVP, however, we observed that the fibrous caps of both ACS etiologies (i.e., ruptured and non-ruptured plaques) had lower birefringence than caps in target lesions of SAP patients. Further study of the polarization properties of plaque erosion is warranted to complement current efforts of assessing endothelial shear stress and function, and other factors related to plaque erosion.55,56
Polarization Features of Coronary Thrombus
Thrombus formation and its remodeling have been implicated in the rapid progression of coronary artery stenosis.6 In the pilot study of IVP, we reported that the birefringence and depolarization of white thrombus was very low.28 We did not observe massive red thrombus, which frequently occurs in the culprit lesion of ST-segment elevation myocardial infarction. Figure 4 shows IVP images of ACS culprit lesions, where fresh thrombus exhibits very low birefringence. We speculate that thrombus areas with a higher birefringence (white arrows) correspond to an earlier thrombus that is already undergoing remodeling and exhibits a higher degree of organization.27 IVP may be able to assess and age thrombus and characterize the remodeling involved in the healing process, including the recruitment of SMC and the initial deposition of collagen type III, to be replaced later by collagen type I.47
Future Perspectives
Additional histopathological studies of coronary arteries are warranted to detail the specific contribution of SMC and collagen to the birefringence signal and also investigate the impact of proteoglycans and elastin. The precise physical mechanism and the compositional dependence of the observed depolarization signature should also be better understood. Additional in vitro or animal studies investigating the polarization signatures of coronary thrombosis, its organization, and the ensuing vascular healing are necessary to refine our interpretation of these signals in the clinical setting. Eventually, prospective studies in larger populations are needed to evaluate how IVP could help to improve patient outcomes and optimize medical therapy. IVP may also serve to assist drug trials by evaluating collagen and lipid content of coronary plaques as surrogate metrics to clinical outcome in response to new drugs that target atherosclerosis.
In a further technical development, we extended our reconstruction method to recover not only the scalar amount of birefringence, but also its optic axis orientation as a function of depth in the arterial wall.57 The optic axis indicates the orientation of the fibrillar tissue components in a plane orthogonal to the beam axis. Intimal tissue with minimal disease was found to feature a longitudinal optic axis orientation, while the tunica media aligns circumferentially. We speculate that the optic axis metric can provide additional insight into the organization process of thrombus and the vascular healing response following ACS or stent implantation.
The vascular response to stent implantation is of particular importance for assessing the risk of stent failure in patients.58 In a recent swine study investigating vascular response to the implantation of bioresorbable vascular scaffolds, polarization properties measured with IVP reflected tissue organization and inflammation, corresponding to SMC alignment as well as macrophage accumulation in the neointima.59 IVP of neointima in patients is likely to advance our understanding of neoatherosclerosis and stent thrombosis and could lead to improved risk stratification and refined medical therapy.
Thus far, our studies have demonstrated that IVP provides access to a powerful source of image contrast, and visualizes structural and compositional features that are imperceptible in the conventional reflection tomograms. Yet, our studies have merely revealed differences in polarization properties between manually segmented tissue types or plaque regions. Combined, the quantitative polarization metrics and the conventional tomograms define multidimensional signals with an enhanced feature space that is ideally suited for automated segmentation and lesion classification by leveraging the powerful capability of advanced machine learning and deep neural networks.60 Automated segmentation and classification would be enabling both for facilitating the use of intravascular OCT in clinical practice and for improving on the modest interobserver/institution agreements found for OCT/OFDI measurements.14,15
Conclusions
Improved reconstruction methods have enabled IVP of the coronary arterial wall in patients, providing quantitative measurements of tissue birefringence and depolarization, in parallel with conventional OFDI imaging. From a practical perspective, IVP is performed in a manner identical to conventional OFDI, uses the same catheters, and imposes no additional constraint on the imaging procedure. Birefringence offers insight into the collagen and SMC content, which are important determinants of plaque stability. Depolarization highlights the presence of lipid and macrophages. These polarization metrics may improve automated identification and classification of atherosclerotic lesions and enable automated measurement, for example, of fibrous cap thickness, which would facilitate the practical clinical use of intravascular imaging. Additionally, IVP has significant potential as a research instrument, for investigating coronary plaque composition and stability, characterizing in-stent neoatherosclerosis, or in the testing of new drugs.
Funding
This work was supported by the National Institutes of Health (grants P41EB-015903 and R01HL-119065) and by Terumo Corporation. B.E.B. was supported in part by the Professor Andries Querido visiting professorship of the Erasmus University Medical Center in Rotterdam.
Disclosures
Massachusetts General Hospital and the Erasmus University Medical Center have patent licensing arrangements with Terumo Corporation. B.E.B. and M.V. have the right to receive royalties as part of the licensing arrangements. The other authors declare no conflicts of interest.
Acknowledgments
K.O. acknowledges partial support from the Japan Heart Foundation/Bayer Yakuhin Research Grant Abroad, the Uehara Memorial Foundation Postdoctoral Fellowship, and the Japan Society for the Promotion of Science Overseas Research Fellowship.
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