Introduction
Cardiac motion artefact (CMA) has been described in three-dimensional (3D) optical coherence tomography (OCT) as the longitudinal distortion of coronary structures due to systo-diastolic movements over the cardiac cycle [1, 2]. Albeit the pullback speed in OCT is even and constant, the relative speed of the optical catheter with respect to the coronary artery changes over the cardiac cycle, thus causing longitudinal distortion to the 3D-OCT reconstruction [1–3]. Previous pioneer studies on CMA have described three subtypes of CMA artefact: rotation, elongation and repetition, linking them to the early ejection phase of systole, because the contraction of the vessel moved the vascular structures in the same direction as the catheter pullback, thus reducing the relative pullback speed and subsequently elongating or even duplicating some imaged elements [2]. Nonetheless, these pioneer descriptions of CMA were performed on systems without co-registration, neither with electrocardiogram (ECG) nor with angiography. Therefore, this plausible hypothesis has never been verified hitherto.
Co-registration of OCT with coronary angiography is currently widely available, thus enabling a detailed analysis of the longitudinal distortion caused by the different phases of the cardiac cycle. Revisiting this phenomenon on the light of co-registered OCT studies, especially involving imaging of intracoronary stents, might challenge previous conceptions about CMA. Based on the observation of co-registered 3D-OCT studies, we propose four different subtypes of CMA artefact, namely rotation, shortening, elongation and repetition (Fig. 1). The current study is aimed to explore the association between the different subtypes of CMA artefact to each specific phase of the cardiac cycle (Fig. 2 and Central illustration).
Methods
Consecutive patients undergoing OCT of a coronary artery previously treated with implantation of a metallic stent, either durable or bioresorbable, in any of the three participating centers (Klinikum Frankfurt Oder, Germany; DRK Klinikum Westend, Berlin, Germany and Campo de Gibraltar Health Trust, Algeciras, Spain) between 01-03-2016 and 01-08-2019 were retrospectively included into the study. Exclusion criteria were: 1) previous treatment of the target vessel with non-metallic bioresorbable scaffolds (BRS) alone; 2) overlapping stents or multiple stent layers leaving < 5 mm monolayer segment; 3) poor OCT quality for the analysis due to non-uniform rotational distortion (NURD), suboptimal vessel flushing, incomplete purge of the optic catheter or other artefacts; 4) severe stent distortion due to longitudinal stress or collapse of the lumen, leaving < 5 mm of stent structurally preserved and suitable for analysis; 5) missing co-registration with angiography. All OCT studies were acquired with a DragonflyTM catheter and an ILUMIEN OPTIS system (Abbott, St. Paul, Minnesota, USA), with a rotation speed of 180 Hz and a pullback speed of 18 mm/s or 36 mm/s, resulting in longitudinal resolutions of 0.1 and 0.2 mm, respectively, calculated as pullback speed (mm/s) divided by rotation speed (Hz or s–1 or cross-sections/s). All cases were acquired with non-occlusive technique [4] and automatic contrast injection, calculating the contrast volume by a validated formula to optimise the image quality with a minimal amount of dye [5]. Clinical information about patients and procedures was retrospectively collected from clinical recordings at each center.
The study complied with the principles of good clinical practice and with the Declaration of Helsinki for investigation in human beings. The study protocol was approved by the corresponding institutional review boards.
Phases of the cardiac cycle using angiographic co-registration
Since co-registration with ECG was not available, the different phases of the cardiac cycle had to be approximated by means of co-registration with coronary angiography, similarly to previous studies [6]. Three different moments of the cardiac cycle were identified in angiography by analysing the movement of the coronary vessels: beginning of the ejection phase, beginning of the rapid-inflow phase and beginning of diastasis (Fig. 2). The beginning of the ejection phase was identified as the first angiographic frame showing longitudinal contraction of the coronary vessels. The beginning of the rapid-inflow phase was identified as the first angiographic frame showing distension of the coronary vessels after systole. Finally, the beginning of diastasis was identified as the first angiographic frame in which the coronary arteries reached their maximal expansion during diastole, before the atrial contraction.
These three landmarks divide the cardiac cycle into three periods: 1) systolic period, encompassing the ejection phase, but also the isovolumic relaxation phase of diastole, 2) the rapid-inflow period, and 3) the diastasis period, encompassing diastasis, but also atrial contraction and isovolumic contraction phase of systole (Fig. 3).
Qualitative assessment of cardiac motion artefact
Optical coherence tomography raw data were evaluated by two independent analysts, blinded to each other results, using an Ilumien Optis workstation (Abbott, St. Paul, Minnesota, USA) equipped with longitudinal view, automatic strut detection and 3D-OCT. Both analysts knew in full detail the structural design of the stent platforms imaged in the study, as previously described [7]. After identification of the stented segment and the corresponding analysable monolayer (in case of overlapping), selecting the most appropriate cropping plane, the analysts qualitatively assessed the presence of CMA on the longitudinal view or in 3D-OCT, as any of the following four types of distortion: rotation, shortening, elongation and repetition (Fig. 1). The analysis on the longitudinal view required the use of automatic strut detection, while it was optional on 3D-OCT [7].
Rotation was defined as twisting of the stent structure around its longitudinal axis in the longitudinal view or in the 3D reconstruction. Shortening and elongation were defined as any modular element of the stent appearing relatively shorter or longer, respectively, than the average length of identical modular elements in the longitudinal view or in the 3D reconstruction (Fig. 1). Repetition was defined as substantial distortion of the stent structure due to repeated scanning of the same elements backwards and forward again (Fig. 4).
The analysts annotated the period of the cycle, as defined by angiography, in which CMA was detected. Due to the methodological difficulties to identify atrial contraction using angiography, this phase of the cycle was excluded from the analysis, by disregarding any artefact observed in the second half of the diastasis period defined by angiography.
Quantitative assessment of cardiac motion artefact
Quantification was restricted to only two different stent platforms: ML8/Vision/Xience and Magmaris platforms [7], because their design contains longitudinal connectors, aligned in parallel to the longitudinal axis of the stent, thus enabling more accurate length measurements than other stent designs. The analysts measured the length of the first longitudinal connector imaged in its full length in the systolic period, the rapid-inflow period and the diastasis period, defined by the co-registered angiography, using the longitudinal view (Fig. 5), thus corresponding to the early ejection phase, the early rapid-inflow phase and the diastasis phase of the cardiac cycle, respectively. Stents with repetition artefact, with suboptimal longitudinal reconstruction of the stent or with insufficient length as to show a measurable longitudinal connector in at least two different phases of the cycle were excluded from the quantitative analysis.
Statistical analysis
Descriptive statistics of continuous variables were reported as mean ± standard deviation (SD) if they followed a Gaussian distribution or as median (quartiles) if differently distributed, while those of categorical variables were presented as counts (percentages). The length of the longitudinal connectors at different cardiac phases were compared with Student’s t-test for paired measurements; dichotomous and categorical variables were compared with Pearson’s χ2 or with Fisher’s exact test if the expected count was < 5 in any cell. Subgroup analysis stratified by pullback speed was performed. Interobserver reproducibility was reported as kappa coefficient for the qualitative assessment and as intraclass correlation coefficient for the absolute measurement (ICCa) for the quantitative assessment.
All analysis was performed with IBM SPSS 24.0 software package (SPSS Inc., Chicago, Illinois).
Results
A total of 193 patients underwent OCT studies in the enrolling centres during the study period. Sixty-six patients (68 studies) were excluded: 40 because no stent was imaged in the OCT study (58.8%), 22 (32.4%) because only non-metallic BRS were implanted in the intervention, 3 (4.4%) due to incomplete blood clearance, 2 (2.9%) due to severe stent distortion and 1 (1.5%) due to NURD. During the analysis 19 stents were excluded due to multilayer (6), overlap with < 5 mm of monolayer (5), co-registration missing (3), suboptimal vessel flushing (3), incomplete purge of the optic catheter (1) or NURD (1). A total of 127 patients, 132 procedures, 152 lesions, 166 pullbacks and 261 stents were finally analysed (Fig. 6).
Descriptive statistics of the sample
Tables 1 and 2 present the descriptive statistics of the sample. Most stents were implanted in the left anterior descending (41.0%) or the right coronary artery (30.3%). Different types of stents were imaged and analyzed in this study (Table 2), but the most common platforms were ML8/Vision/ /Xience (71 Xience, 27.2%; 2 Vision, 0.8%; Abbott Vascular, Santa Clara, CA) and Magmaris (55 Magmaris, 21.1%; Biotronik AG, Bülach, CH). Ninety--nine (37.9%) stents were implanted more than 3 months prior to the OCT study and 62 (23.9%) presented in-stent restenosis as anatomic substrate for the clinical symptoms. Most studies (87.7%) were acquired at a pullback speed of 18 mm/s.
Patient level |
N = 127 |
Male, n (%) |
99 (78.0) |
Age [years] |
67.2 (58.5–75.3) |
Body mass index [kg/m2] (SD) |
28.7 (4.7) |
Cardiovascular risk factors: |
|
Hypertension |
103 (81.1) |
Hypercholesterolemia |
64 (50.4) |
Diabetes mellitus: |
|
Type 2 on OAD |
38 (29.9) |
Type 2 insulin-requiring |
11 (8.7) |
Smoking: |
|
Previous smoker |
26 (20.5) |
Current smoker |
28 (22.0) |
Family history of CHD |
6 (4.7) |
Previous MI |
53 (41.7) |
Previous revascularization: |
|
PCI |
80 (63.0) |
CABG |
9 (7.1) |
GFR (Cockroft-Gault) [mL/min] |
87.7 (48.5) |
Serum hemoglobin [g/dL] |
13.5 (1.7) |
LVEF [%] |
60 (12) |
Procedural variables |
N = 132 |
Syntax score |
13.7 (8.6) |
Contrast volume [mL] |
232 (106) |
Fluoroscopy time [min] |
20.8 (15.8) |
Clinical indication: |
|
Stable coronary disease |
98 (74.2) |
Unstable angina |
15 (11.4) |
NSTEMI |
18 (13.6) |
STEMI |
1 (0.8) |
Lesions |
N = 152 |
Calcification: |
|
None to little |
130 (85.5) |
Moderate to severe |
22 (14.5) |
Diameter stenosis [%] |
72.2 (15.9) |
Stents analyzed |
N = 261 |
Coronary artery: |
|
Left main |
10 (3.8) |
Left anterior descending |
107 (41.0) |
Diagonal |
12 (4.6) |
Circumflex |
42 (16.1) |
Obtuse marginal |
9 (3.4) |
Right coronary artery |
79 (30.3) |
Posterolateral |
2 (0.8) |
Type of stent implanted: |
|
Xience |
71 (27.2) |
Magmaris |
55 (21.1) |
Biofreedom |
23 (8.8) |
Resolute Integrity |
19 (7.3) |
Orsiro |
17 (6.5) |
Coroflex |
14 (5.4) |
Promus Element |
12 (4.6) |
Bioss-Lim C |
10 (3.8) |
ML Rx Pixel |
9 (3.4) |
Resolute Onyx |
7 (2.7) |
Driver |
6 (2.3) |
Taxus Liberté |
4 (1.5) |
Biomatrix |
3 (1.1) |
ML Zeta |
2 (0.8) |
Vision |
2 (0.8) |
Biodivysio |
2 (0.8) |
Alex Plus |
2 (0.8) |
Cypher |
1 (0.4) |
Taxus Express |
1 (0.4) |
Costar |
1 (0.4) |
Timing of implant: |
|
Recently implanted (< 3 months) |
162 (62.1) |
Late implanted (≥ 3 months) |
99 (37.9) |
Immediately post-implant |
141 (54.0) |
Time from stent implantation [months]* |
25.3 |
In-stent restenosis |
62 (23.8) |
Mehran’s type**: |
|
Ia |
1 (1.6) |
Ib |
3 (4.8) |
Ic |
11 (17.7) |
Id |
0 (0.0) |
II |
27 (43.6) |
III |
18 (29.0) |
IV |
2 (3.2) |
Overlap |
119 (45.6) |
Pullback speed: |
|
18 mm/s |
229 (87.7) |
36 mm/s |
32 (12.3) |
Qualitative assessment
Cardiac motion artefact was identified in 61 (23.4%) stents, corresponding to 6 (2.3%) cases of rotation, 50 (19.2%) cases of shortening, 51 (19.5%) cases of elongation and 12 (4.6%) cases of repetition (Table 3). The incidence of CMA was significantly higher at low pullback speed (18 mm/s: 25.3%) than at high pullback speed (36 mm/s: 9.4%). In the subgroup analysis, both shortening and elongation occurred more frequently at low pullback speed. Repetition was only observed at 18 mm/s, with low incidence (5.2%). Rotation was observed at both pullback speeds, with low incidence and without significant differences.
Shortening was only detected during the systolic period, while elongation and repetition were only detected during the rapid-inflow period. Rotation, however, was detected during the systolic period (3 cases, 50%), the rapid-inflow period (1 case, 16.7%) or in both periods (2 cases, 33.3%). No artefact was reported during the diastasis period (Table 3).
cardiac cycle (as defined by co-registration with angiography).
Total |
PB speed |
P |
Period |
||||
18 mm/s (n = 229) |
36 mm/s (n = 32) |
Systolic |
Rapid-inflow |
Diastasis |
|||
Cardiac motion artefact: |
61 (23.4) |
58 (25.3) |
3 (9.4) |
0.046 |
5 (1.9) |
||
Rotation |
6 (2.3) |
4 (1.7) |
2 (6.3) |
0.160 |
50 (19.2) |
3 (1.1) |
0 (0.0) |
Shortening |
50 (19.2) |
50 (21.8) |
0 (0.0) |
0.003 |
0 (0.0) |
0 (0.0) |
0 (0.0) |
Elongation |
51 (19.5) |
49 (21.4) |
2 (6.3) |
0.043 |
0 (0.0) |
51 (19.5) |
0 (0.0) |
Repetition |
12 (4.6) |
12 (5.2) |
0 (0.0) |
0.371 |
0 (0.0) |
12 (4.6) |
0 (0.0) |
Reproducibility was excellent for repetition (kappa 1.000; 95% confidence interval [CI] 0.999––1.000) and moderate for other artefacts: shortening (kappa 0.469; 95% CI 0.347–0.591), elongation (kappa 0.534; 95% CI 0.420–0.648), rotation (kappa 0.606; 95% CI 0.288–0.924).
Quantitative analysis
For the quantitative analysis, 73 stents with a ML8/Vision/Xience platform and 55 with a Magmaris platform were available. The analysts excluded 23 stents due to insufficient analysable length (11), repetition artefact (10) or suboptimal stent reconstruction in the longitudinal view (2), resulting in 105 devices finally analyzed in the quantitative sub-study: 57 ML8/Vision/Xience and 48 Magmaris.
For both stent platforms, the longitudinal connector was significantly shorter during the early ejection phase than in diastasis and significantly longer during the early rapid-inflow-phase than in diastasis (p < 0.0001 for all comparisons; Table 4). The variability of the measurement was minimal during diastasis (SD 0.06 mm for ML8/ /Vision/Xience and 0.05 mm for Magmaris) and maximal during the early rapid-inflow-phase (SD 0.41 mm for ML8/Vision/Xience and 0.45 mm for Magmaris). In all the individual stents analyzed, the measurement of the longitudinal connector during the early ejection phase was ≤ than the measurement in diastasis, while the measurement during the early rapid-inflow phase was ≥ than in diastasis (Fig. 7), irrespective of the detection of CMA by the analyst (Table 4).
Length of longitudinal connector [mm] |
Ejection (p) |
Rapid-inflow (p) |
|||||||
Early ejection phase |
Early rapid--inflow phase |
Diastasis |
|||||||
Mean |
SD |
Mean |
SD |
Mean |
Mode |
SD |
|||
ML8/Vision/Xience (n = 57) |
1.13 |
0.20 |
1.89 |
0.41 |
1.43 |
1.40 |
0.06 |
< 0.0001 |
< 0.0001 |
Magmaris (n = 48) |
0.85 |
0.16 |
1.58 |
0.45 |
1.13 |
1.10 |
0.05 |
< 0.0001 |
< 0.0001 |
Subgroup no CMA |
|||||||||
ML8/Vision/Xience (n = 36) |
1.21 |
0.12 |
1.68 |
0.21 |
1.42 |
1.40 |
0.05 |
< 0.0001 |
< 0.0001 |
Magmaris (n = 35) |
0.88 |
0.14 |
1.44 |
0.33 |
1.13 |
1.10 |
0.05 |
< 0.0001 |
< 0.0001 |
The reproducibility of quantitative measurements was very good: ICCa 0.898 (95% CI 0.853–0.930) for the early ejection phase; ICCa 0.893 (95% CI 0.845–0.926) for the early rapid-inflow phase and ICCa 0.911 (95% CI 0.844–0.946) for diastasis.
Discussion
The main findings of the current study can be summarized as follows: 1) Four different types of distortion can be described as part of CMA, namely rotation, shortening, elongation and repetition, affecting both the 3D-OCT reconstruction and the longitudinal view (Fig. 1); 2) All of them, except rotation, occur more frequently at low pullback speed than at high pullback speed; 3) Shortening occurs at the early ejection phase of systole, while elongation and repetition occur at the early rapid-inflow phase of diastole; rotation, however, has been reported at both the ejection and the rapid-inflow phases (Central illustration); 4) Diastasis is the phase of the cycle with least CMA and with least variability in longitudinal measurements; 5) Repetition is easily recognisable by trained analysts, with excellent reproducibility, but shortening and elongation occur in every OCT pullback to a greater or lesser extent, so the threshold for their identification is highly subjective, thus resulting in poorer reproducibility.
To the best of our knowledge, this is the largest study specifically dedicated to the analysis of CMA to date. Its results shed some light about the mechanism for the formation of the different subtypes of CMA. Previous studies had intuitively suggested that rotation, elongation and repetition occurred during the early ejection phase [1, 2], but these pioneering analyses were performed without co-registration with angiography. Indeed, some groups have suggested ECG-triggered OCT acquisition, excluding early systole, improving image quality, but disregarding potential distortion occurring in diastole [3]. The results of the current analysis, specifically focused on CMA using co-registration with angiography, demonstrate that cardiac structures appear indeed shortened during the early ejection phase. Conversely, elongation and repetition are solidly associated to the early rapid-inflow phase. This mechanism might be best understood with the abstract concept of relative pullback speed [3], that might be defined as (pullback + catheter speed) – tissue speed, taking as positive; the movement towards the guiding catheter and as negative; the movement fleeing away from the guiding catheter (Fig. 8). During diastasis, both the catheter and the tissue of the artery remain static, so the pullback speed is the only force to consider. At the early ejection phase, the vascular structures move towards the guiding catheter, as hypothesised by previous studies [1, 2], but the optical catheter is also displaced in the same direction and more intensely, because it accumulates the propelling force along the whole vessel. As a result, the relative pullback speed of the optical catheter over the vascular structures experiences a net increase, so the imaged elements appear shortened on OCT (Fig. 8). Conversely, at the early rapid-inflow phase, both the vascular structures and the optical catheter move backwards, but the latter more intensely, following the reverse reasoning, so the relative pullback speed experiences a net reduction and the imaged structures will appear elongated (Fig. 8). In extreme cases, if the relative pullback speed came to become negative, then the optical catheter would scan some vascular segments backwards and then forward again during diastole, thus creating the repetition artefact (Figs. 4, 8). Supplementary Video 1 documents the backward movement of the optical source in a paradigmatic case of repetition artefact, using zoomed co-registration with angiography.
Rotation is often described in both systole and diastole within the same pullback and also has poor reproducibility. This could be explained because rotation artefact is very often coupled with a sudden change in the direction of the vessel centreline during systole, subsequently corrected to the original direction during diastole, so stent structures are not properly rotated, but they simply follow the changing orientation of the vessel. The examples of rotation provided by previous studies [1, 2] and Figure 2 exemplify this phenomenon, that might be caused by an eccentric catheter that suddenly changes its position in the lumen cross-section during the early-ejection phase and recovers its original position during the early rapid-inflow phase, thus creating a typical C-shaped pseudo-curvature in the longitudinal view of OCT, with apparent rotation at the beginning of both systole and diastole (Fig. 2) [1, 2]. This introduces some ambiguity in the definition of rotation used in the current analysis and in previous studies, this might partially explain the poor reproducibility. The present sample, although large, is insufficient to properly verify this observation, as only 6 cases of rotation were described. A specific analysis would be required in the future.
The poor reproducibility of the qualitative assessment of all subtypes of CMA, except repetition, advises against its appraisal as part of OCT studies and therefore against its request during the peer-review process, as the results would be highly variable and unlikely to add meaningful information. Conversely, quantitative measurements show excellent reproducibility irrespective of the phase of the cardiac cycle.
The presence of shortening and elongation to a greater or lesser extent in every OCT pullback points out the potential inaccuracy of all OCT parameters involving longitudinal measurements, like stent volume, neointimal volume [8, 9], volume of incomplete stent apposition [9, 10] or any measurement of length, as the same structure measured at the early rapid-inflow phase would be slightly longer than that measured during the early ejection phase. Likewise, CMA might interfere with the evaluation of longitudinal stress in vivo. The magnitude and relevance of this potential source of inaccuracy must be defined in future studies. Nonetheless, the minimal variability and excellent reproducibility of quantitative measurements during diastasis make an eventual automatic correction of this bias technically feasible in future software developments.
Limitations of the study
This is a retrospective offline analysis performed on standard real-world OCT acquisitions by trained analysts. However, the possibility of selection bias and all the intrinsic limitations to retrospective designs cannot be completely ruled out.
This study was performed with angiographic co-registration, as a best approximation to the cardiac cycle currently available. Co-registration with ECG or with the pressure waves in the polygraph would enable a more refined and accurate delimitation of the phases, in particular the atrial contraction, often elusive to detect in angiography and therefore excluded from the current analysis. Atrial contraction was encompassed at the end of the diastasis period in the current analysis, and disregarded in both the qualitative and quantitative studies. More refined studies on the topic might be performed in the future if ECG or polygraph co-registration were available.
Conclusions
Cardiac motion artefact occurs in up to 23.4% of imaged stents, but shortening of vascular structures during the early ejection phase of systole and elongation-repetition during the early rapid-inflow phase of diastole occur to a greater or lesser extent in all cases. Diastasis is free of CMAs and hence the period in which longitudinal measurements can be more consistently quantified.