Journal List > Korean J Radiol > v.19(1) > 1027405

Kim, Oh, Lee, Kim, Kim, Lim, Seo, Kim, Kim, and Zo: Findings of Single-Photon Emission Computed Tomography and Its Relation with Quantitative Coronary Angiography in Patients with Significant Stenosis of the Left Main Coronary Artery

Abstract

Objective

Unrecognized left main coronary artery disease (LMCD) is often fatal; however, accuracy of non-invasive tests for diagnosing LMCD is still unsatisfactory. This study was performed to elucidate single-photon emission computed tomography (SPECT) detection of LMCD using quantitative coronary angiography (QCA) data.

Materials and Methods

Fifty-five patients (39 men; mean age, 68.1 ± 10.9 years) diagnosed with significant left main (LM) stenosis (≥ 50%) by invasive coronary angiography (ICA) were retrospectively reviewed. All study patients underwent SPECT with pharmacologic stress within 30 days of ICA. All coronary lesions were quantified via QCA, and SPECT findings were compared with QCA results.

Results

Only four patients (7.3%) had isolated LMCD; all others had combined significant stenosis (≥ 70%) of one or more other epicardial coronary arteries. Patients with more severe coronary artery disease tended to have higher values for summed difference scores in a greater number of regions, but the specific pattern was not clearly defined. Summed stress score of SPECT did not differ according to LM stenosis severity. Only three patients (5.4%) had a typical LM pattern of reversible perfusion defect on SPECT. A significant negative linear correlation between stenosis severity and stress perfusion percent was found in the left anterior descending artery region (r = −0.455, p < 0.001) but not in the left circumflex artery.

Conclusion

Single-photon emission computed tomography findings were heterogeneous, not specific and poorly correlated to QCA data in patients with significant LMCD. This may be due to highly prevalent significant stenosis of other epicardial coronary arteries.

INTRODUCTION

Left main coronary artery disease (LMCD) is defined as luminal stenosis ≥ 50%, being detected in 4–8% of patients undergoing coronary angiography (12345). LMCD, having the largest amount of jeopardized myocardium of all coronary arteries, is often fatal if unrecognized and untreated. Fortunately, the survival of patients with LMCD is significantly improved by timely revascularization (235). Therefore, rapid and accurate diagnosis of LMCD is critical.
Single-photon emission computed tomography (SPECT) is a conventional tool for the detection of coronary artery disease (CAD) with high diagnostic accuracy, and is widely used in clinical practice (6). Importantly, SPECT has been shown to have powerful predictive value for future cardiovascular events in patients with known or suspected ischemic heart disease (78). Although several features observed in stress tests have been suggested as indicators of the presence of LMCD, such as lung uptake of radiotracers during SPECT (9) and ST-segment elevation in aVR lead during treadmill exercise tests (10), diagnosis of significant LMCD using noninvasive techniques is still challenging (511).
In previous studies assessing the value of SPECT in patients with LMCD, the severity of coronary artery stenosis was usually determined by visual assessment (11011121314). However, visual estimations of stenosis severity by individuals are highly variable and poorly correlated with necropsy findings (1516). Quantitative coronary angiography (QCA) has been shown to improve our ability to more accurately estimate the percent stenosis of a lesion and its length, which contribute to resistance to blood flow (1718). Therefore, this study was performed to investigate characteristic SPECT findings and their relation to QCA results in patients with LMCD, and sought to evaluate the usefulness of SPECT for identifying LMCD in real-world practice.

MATERIALS AND METHODS

Study Patients

This single-center and retrospective study was performed at Boramae Medical Center (Seoul, Korea). The Institutional Review Board of Boramae Medical Center approved this study protocol (IRB No. 16-2014-161). Informed consent was waived due to its retrospective study design. LMCD was defined as ≥ 50% narrowing of the internal diameter of the left main (LM) coronary artery on visual estimation by an interventional cardiologist performing invasive coronary angiography (ICA). Between September 2009 and March 2014, a total of 3480 patients underwent ICA, and 275 (7.9%) were identified to have LMCD in a cardiac catheterization database. From this LM cohort, SPECT was performed on 81 patients within 30 days of ICA, and they were selected for further review. Both ICA and SPECT were performed for the evaluation of CAD. Among these 81 patients, 26 with the following criteria were excluded: 1) those without stress perfusion images (only resting perfusion images were acquired in cases where pharmacological stress was considered a risk to some unstable patients), 2) those with left bundle branch block, 3) those who had undergone coronary bypass graft surgery, 4) those whose images were of insufficient quality to perform QCA, and 5) those with documented ischemic events, including acute myocardial infarction and angina requiring revascularization between SPECT and ICA.
After exclusion, 55 patients fulfilled the criteria and were finally analyzed in this study. We obtained information on demographic characteristics, including age and body mass index (kg/m2), as well as traditional risk factors including histories of hypertension, diabetes mellitus and dyslipidemia. Current smokers were defined as persons who continued to smoke within 12 months of ICA. Previous CAD was defined as previous myocardial infarction or percutaneous coronary intervention (PCI). Typical chest pain was defined as substernal chest discomfort with characteristic quality and duration that is provoked by exertion or emotional stress and is relieved by rest or nitroglycerin (19). The blood levels of total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol and C-reactive protein were measured after overnight fasting for more than 8 hours. The estimated glomerular filtration rate (eGFR) was calculated using the following formula: 175 × serum creatinine-1.154 × age-0.203 (× 0.742, if women) (20). Information on the treatment of LMCD and one-year mortality was obtained by reviewing medical records.

Echocardiography

Transthoracic echocardiography was performed using a 2.5-MHz probe with a commercially available ultrasound system (iE33, Philips Ultrasound, Bothell, WA, USA or Vivid E9, GE Vingmed Ultrasound AS, Horten, Norway) according to the standardized protocol (21). An average of three measurements of consecutive cardiac cycles was taken for analysis. M-mode images from the parasternal short-axis view were obtained to measure left ventricular internal dimensions during systole (LVIDs) and left ventricular internal dimensions during diastole (LVIDd), left ventricular (LV) septal wall thickness during diastole (SWTd), and LV posterior wall thickness during diastole (PWTd). LV mass was calculated using the following formula: LV mass = 0.8 × {1.04 ([LVIDd + PWTd + SWTd]3 - [LVIDd]3)} + 0.6 g, indexed for body surface area (= LV mass index [LVMI]). Simpson's biplane method was employed for the calculation of LV ejection fraction (LVEF). LV diastolic filling was assessed through pulsed-wave Doppler interpretation of mitral inflow velocities. Early peak transmitral filling velocities during early diastole (E) were imaged at the tip of the mitral leaflets from the apical 4-chamber view. With the same view, color-coded tissue Doppler imaging was applied to determine peak early (e') velocity at the septal mitral annuli. E/e' was calculated as an index of LV filling pressure. From the parasternal short-axis view, left atrial dimensions were calculated using M-mode echocardiography.

Myocardial Perfusion SPECT Protocol

Myocardial perfusion SPECT was performed with a 1-day protocol using dual isotopes of 201TI and 99mTc-sestamibi. First, rest SPECT images were acquired 5 minutes after intravenous administration of 201Tl chloride (111 MBq). For the pharmacological stress test, adenosine was continuously injected at a rate of 0.14 mg/kg/min for 6 minutes. After 3 minutes of adenosine infusion, 99mTc-sestamibi (555 MBq) was injected without interruption of continued adenosine infusion, and then stress SPECT images were obtained 2 hours after the 99mTc-sestamibi injection (22). SPECT images were acquired using a dual-headed camera (Infinia Hawkeye 4, General Electric Co., Milwaukee, WI, USA), employing 64 projections over 180° (from right anterior oblique 45° to left posterior oblique 45°), low-energy high-resolution collimator, and step-and-shoot acquisition at 3° intervals and for 25 seconds per step. For dual isotopes, images were obtained with a 20% window centered over both 70 and 167 keV photopeaks for 201Tl chloride, and a 20% window centered over 140 keV photopeak for 99mTc-sestamibi. SPECT images were reconstructed by the filtered back-projection method using a Butterworth filter (cut-off frequency 0.49, order 5) and iterative reconstruction. The reconstructed images were transferred to a designated workstation (Xeleris, General Electric Co.) for interpretation. A SPECT study was repeated when the image quality was suboptimal after scrutiny of the reconstructed images. SPECT images were interpreted by well trained nuclear medicine physicians who were blinded to clinical information in accordance with the recommendation of the American Society of Nuclear Cardiology (22).

Myocardial Perfusion SPECT Analyses

Single-photon emission computed tomography images were automated and processed using Quantitative Perfusion SPECT (QPS)/Quantitative Gated SPECT (QGS) from Cedars-Sinai Cardiac Suite that is included in the designated workstation. Perfusion images were semi-quantitatively analyzed using a 17-segment model (23). In this model, each segment was assigned to vascular region as follows: apex, anterior and anteroseptal segments to the left anterior descending artery (LAD); lateral segments to the left circumflex artery (LCX); inferior and inferoseptal segments to the right coronary artery (RCA) (1124). Each score was rated on a 5-point scale: 0 = normal; 1 = mildly reduced; 2 = moderately reduced; 3 = severely reduced; and 4 = absent uptake. By applying this scoring system to each segment, the cardiac software automatically generated summed stress scores (SSS), summed rest scores (SRS), and summed difference scores (SDS). QPS software computed quantitative perfusion scores of myocardium by integrating the hypoperfusion severities below normal limits in polar map coordinates. Tracers of each segment were displayed in the percentage of perfusion, ranging from 0 to 100 percent. Stress perfusion percent, rest perfusion percent, and the percentage difference (Δ) of the segment of the heart wall have been used to assess myocardial perfusion status.
The automatically generated global perfusion scores in numerical form (SRS, SSS, SDS) and perfusion percentage were used for further evaluations. The SRS represents already infarcted myocardium, while the SSS means decreased perfusion of either reversible (ischemic) or irreversible (already infarcted) myocardium. The SDS is thus a measure of reversible (ischemic) hypoperfusion. In this regard, an ischemic perfusion decrease was defined as SDS ≥ 2. The typical LMCD pattern was considered when perfusion abnormality was localized in both LAD and LCX regions on perfusion SPECT (11). Summed motion scores and summed thickening scores were also automatically generated.

QCA Analysis

Quantitative coronary angiography analysis was performed by a single experienced observer who was unaware of SPECT findings. During the analysis, diagonal branches were included to the LAD, obtuse marginal braches to the LCX, and the posterior descending and posterior longitudinal arteries to the RCA. Using a guide catheter for calibration and an edge detection system (CAAS 5.9 QCA system, Pie Medical, Maastricht, Netherlands), percent diameter stenosis, reference vessel diameter, lesion length, and minimum luminal diameter were measured. Angles between the LM and the proximal part of the LAD and LCX were also measured. Coronary bifurcation lesions of the LM were classified based on Medina's classification (25). Obstructive CAD (≥ 70% luminal narrowing) distal to the LM and RCA were stratified as 1-, 2- and 3-vessel disease according to the number of coronary arteries involved (12). CAD severity and extent was determined based on this number of obstructed coronary arteries.

Statistical Analysis

Continuous variables were expressed as mean ± standard deviation, whereas categorical variables were presented as absolute values and their proportions. Comparisons between two categorical variables were made using the chi-square test. Pearson's bivariate correlation analysis was used to investigate the linear association between two continuous variables. Scatter plots were used to show the linear association between luminal stenosis and stress perfusion in LAD and LCX territories. A p value of < 0.05 was considered significant. All analyses were performed using SPSS 18.0 statistical package (SPSS Inc., Chicago, IL, USA).

RESULTS

Clinical and Echocardiographic Findings

The median interval between SPECT and ICA was 4 days (interquartile range, 2–9 days). SPECT was performed on 41 patients (74.5%) before ICA. The mean age of the patients was 68.1 ± 10.9 years (range, 37–86 years) and males were predominant (70.9%). About half of the patients (49.1%) had diabetes mellitus, and acute coronary syndrome was diagnosed in 24 patients (43.6%) at the time of initial ICA. Major laboratory parameters were within normal range in study patients. In echocardiographic findings, mean LVEF was within normal range, but LVMI and E/e' were increased. Regional wall motion abnormalities were observed in 25 patients (45.5%) (Table 1).

Angiographic Findings

Only four patients (7.3%) had isolated LMCD, and the others had combined significant stenosis (≥ 70%) of one or more epicardial coronary arteries (Table 2).

Myocardial Perfusion Scores in SPECT

Stress myocardial hypoperfusion was graded by SSS values (26). Normal perfusion with SSS < 4 was observed in 6 (10.9%), mildly abnormal perfusion with SSS of 4–8 in 12 (21.8%), moderately abnormal perfusion with SSS of 9–13 in 12 (21.8%), and severely abnormal perfusion with SSS > 13 in 25 patients (45.5%). Patients with moderate or severe ischemia on SPECT (SSS ≥ 9) had lower renal function (eGFR), lower LVEF and higher LV diastolic filling pressure (E/e') than those with no or mild ischemia on SPECT (SSS < 9) (p < 0.05 for each) (Table 3). In angiographic findings, the presence of significant stenosis (≥ 70%) in LAD and RCA was associated with high ischemic burden (SSS ≥ 9) (p < 0.05 for each) (Supplementary Table 1 in the online-only Data Supplement).
Myocardial ischemia was graded by SDS values. Mild ischemia with SDS of 2–4 was seen in 11 (20.0%), moderate ischemia with SDS of 5–8 in 21 (38.2%), and severe ischemia with SDS > 8 in 18 patients (32.7%). The typical LM pattern that was co-localized in LAD and LCX was found in only 3 patients (5.4%). The distributions of reversible perfusion defect (PD) according to coexistence of obstructive CAD (Table 4, Fig. 1) show that patients with more severe CAD tended to have more severe myocardial ischemia in a greater number of regions, but the specific pattern was not clearly defined. Patients were divided into three groups based on LM stenosis of 70, 80, and 90%, and SSS values were compared: SSS values were not significantly different between these 2 groups (p > 0.05 for each) (Fig. 2).

Myocardial Perfusion Percent in SPECT

A significant negative linear correlation between stenosis severity and stress perfusion percent was found in the LAD region (r = −0.455, p < 0.001) but not in the LCX region (Fig. 3). Minimal luminal diameter of LAD (r = 0.345, p = 0.010) was also significantly associated with the stress perfusion percent of the LAD region but not in the LCX region. Neither LAD nor LCX of the stress perfusion percent was affected by the bifurcation type or angles between coronary arteries that were assessed by ICA (Table 5). Stress perfusion percent of LAD significantly decreased either in patients with LAD stenosis alone or in patients with LAD and LCX stenoses, but not decreased in patients with LCX stenosis alone. However, stress perfusion percent of LCX decreased, regardless of co-existence of coronary artery stenoses of LCX and LAD (Fig. 4). These results indicate that LAD stress perfusion percent was not affected by LCX stenosis, whereas LCX stress perfusion percent was affected by LAD stenosis.

Clinical Events

Following angiography, 20 patients (36.3%) were treated with PCI, 26 patients (47.2%) were treated with coronary artery bypass graft (CABG), and two patients (3.6%) received both PCI and CABG. Nine patients (16.3%) were treated medically. There were three death cases within one year, two of which were in the medical treatment group, and one was in the CABG group. Patients with events including revascularization and death within one year (n = 45) had significantly higher SSS on SPECT than those without events (n = 10) (14.0 ± 7.9 vs. 7.9 ± 4.6, p = 0.024). Two death cases had severe ischemia on SPECT (SSS values of 32 and 21), and the other death had no ischemia on SPECT (SSS value was 1).

DISCUSSION

The main findings of our study are: 1) isolated LMCD was rare, and the most patients with LMCD had significant stenosis of other coronary arteries; 2) although there was a tendency for more severe CAD with increasing ischemia, SPECT findings were heterogeneous and not specific in LMCD; and 3) LAD stress perfusion percent was correlated with LAD stenosis severity, whereas LCX stress perfusion percent was not correlated with LCX stenosis severity in patients with LMCD.

SPECT Findings in Patients with LMCD

Multiple studies on SPECT findings in patients with LMCD have consistently shown that SPECT imaging has low diagnostic value for the detection of LMCD, and that there are no specific indications of SPECT for LMCD. An earlier study of 43 patients with LMCD by Nygaard et al. (27) showed that typical SPECT findings for LMCD were observed only in 14% of patients. Wakasugi and colleagues analyzed 23 patients with LMCD, and showed that only six patients (26%) had perfusion abnormalities of “LM pattern” (14). A similar finding was reported by Rehn et al. (28), who analyzed SPECT perfusion images of 24 patients with LMCD, and found that only three patients (13%) had a typical LM defect pattern. More recently, Berman et al. (11) studied 101 patients with LMCD, and demonstrated that high-risk disease with moderate to severe defects (> 10% myocardium at stress) was identified in only 56% of patients visually and 59% quantitatively. Afonso and Mahajan (12) investigated 74 patients with LMCD who underwent both ICA and SPECT within six months, and showed that about 20% of patients with LMCD had no reversible PD on SPECT, and that the most frequent SPECT abnormality was one-vessel distribution PD. Similar to the findings cited above, our results showed various patterns of PD on SPECT in patients with LMCD, and a discrepancy between stenosis severity and PD in the LCX region, suggesting limitations to the diagnosis of LMCD using SPECT. As compared to prior studies, we think that our study may deserve greater clinical attention because detailed QCA data were used during study analysis.
In order to improve the diagnostic accuracy of SPECT in LMCD, non-perfusion abnormalities such as transient ischemic dilatation or segmental wall motion abnormalities (1129) and new techniques, such as attenuation-corrected SPECT (13) have been applied for the detection of LMCD. However, their usefulness in clinical practice is still questionable. Indeed, the diagnostic value of non-perfusion abnormalities was limited in our study (data not shown).

Potential Mechanisms

Mechanistic analysis of SPECT findings in LMCD has been difficult due to the small number of study patients with isolated LMCD. Therefore, the exact explanation for various SPECT findings in patients with LMCD unclear. However, discrepancies are often observed between findings of perfusion SPECT and ICA. It has been frequently observed that functional severity is often discordant with anatomical severity (30). A balanced blood flow reduction in all vascular beds without any normal scintigraphic reference segment, called “balanced ischemia,” may also causes false-negative findings on SPECT (111331). Plateauing of tracer uptake at high flow rates also leads to masking of disparities in coronary flow reserve, particularly if vasodilator stress is employed (32). The inferior wall, being subjected to a great degree of soft-tissue attenuation, may affect SPECT findings (32). Although not considered in our study, the presence of collateral circulation may contribute to some discrepancy between angiography and SPECT findings (29). In addition, it is possible that typical perfusion patterns can appear in patients with more severe luminal narrowing of the LM (14). However, there were no reliable patterns of SPECT even in patients with more severe stenosis of LM (≥ 70%) in our study (data not shown).
Obstructive lesions other than LM stenosis might impact myocardial blood flow and perfusion. Rehn et al. (28) pointed out that one difficulty in identifying LMCD by myocardial scintigraphy is because the location and severity of stenosis down-stream, rather than LMCD, determines the perfusion pattern. It has also been reported that PDs in the RCA region may obliterate the presence of defects in the area of the LAD or LCX regions (1). However, RCA stenosis did not impact ischemia or defects in LAD and LCX regions in our study (data not shown). Further investigations are needed to confirm our results and elucidate their mechanism.

Clinical Implication

The diagnosis of LMCD mainly depends on coronary angiography. However, invasiveness and high cost of ICA limit its use in clinical practice. Therefore, many attempts have been made to find a non-invasive method for the identification of LMCD. Although coronary computed tomography angiography (CCTA), an emerging modality, shows high diagnostic accuracy in the detection of CAD, the lack of information on the hemodynamic significance of intermediate stenosis is a main shortcoming of CCTA (33). Several findings of non-invasive functional tests suggest the presence of LMCD or extensive 3-vessel disease exist (19); however, their diagnostic values are still low, and sometimes less practical. In regard to SPECT, its ability to localize coronary regions in patients with LMCD is very poor (1614), and thus, characterization of SPECT findings in patients with LMCD has been problematic. Our study results also support this, and suggest that revascularization should not be determined based entirely on SPECT findings in patients with LMCD. Therefore, further invasive evaluations with other modalities during ICA, such as fractional flow reserve or intravascular ultrasound are needed in clinical practice (734). As a promising noninvasive test, N-13 ammonia PET can be another option aiding the diagnosis of hemodynamic significance of LMCD (35). More accurate and effective diagnostic tools or techniques for the detection of LMCD are warranted.
In our study, only 7.3% of patients had isolated LMCD, and the remaining patients had combined multi-vessel disease. In addition, most of the LMCD patients showed high risk features such as bifurcation and calcification. These results are in agreement with previous findings (311142836), and provide insights into an important clinical issue that we should not focus solely on LM coronary artery stenosis but embrace all these aspects of lesion complexity and co-existing diseases in other coronary arteries in patients with LMCD to adequately manage them.

Study Limitations

In addition to its retrospective design, our study has several limitations. First, there was a possibility that more severe ischemia cases on SPECT underwent ICA, which may have caused referral bias. Second, the number of the study patients is relatively small. Third, the heterogeneous study patients could have led to various patterns of SPECT findings. Further studies with a larger sample size are needed to confirm our results.

Conclusions

SPECT findings were heterogeneous, not specific and poorly correlated to QCA data in patients with significant LMCD. This may be due to highly prevalent significant stenosis of other epicardial coronary arteries.

Acknowledgments

The authors appreciate the help of Seon Kyung Lee, Min-Seon Choi and Hye Jin Park for their data collection.

References

1. Chikamori T, Doi YL, Yonezawa Y, Yamada M, Seo H, Ozawa T. Noninvasive identification of significant narrowing of the left main coronary artery by dipyridamole thallium scintigraphy. Am J Cardiol. 1991; 68:472–477. PMID: 1872274.
crossref
2. Cohen MV, Gorlin R. Main left coronary artery disease. Clinical experience from 1964-1974. Circulation. 1975; 52:275–285. PMID: 1080085.
crossref
3. Giannoglou GD, Antoniadis AP, Chatzizisis YS, Damvopoulou E, Parcharidis GE, Louridas GE. Prevalence of narrowing >or=50% of the left main coronary artery among 17,300 patients having coronary angiography. Am J Cardiol. 2006; 98:1202–1205. PMID: 17056328.
4. Noto TJ Jr, Johnson LW, Krone R, Weaver WF, Clark DA, Kramer JR Jr, et al. Cardiac catheterization 1990: a report of the Registry of the Society for Cardiac Angiography and Interventions (SCA&I). Cathet Cardiovasc Diagn. 1991; 24:75–83. PMID: 1742788.
5. Ragosta M. Left main coronary artery disease: importance, diagnosis, assessment, and management. Curr Probl Cardiol. 2015; 40:93–126. PMID: 25765453.
crossref
6. Hachamovitch R, Hayes SW, Friedman JD, Cohen I, Berman DS. Stress myocardial perfusion single-photon emission computed tomography is clinically effective and cost effective in risk stratification of patients with a high likelihood of coronary artery disease (CAD) but no known CAD. J Am Coll Cardiol. 2004; 43:200–208. PMID: 14736438.
crossref
7. Hamilos M, Muller O, Cuisset T, Ntalianis A, Chlouverakis G, Sarno G, et al. Long-term clinical outcome after fractional flow reserve-guided treatment in patients with angiographically equivocal left main coronary artery stenosis. Circulation. 2009; 120:1505–1512. PMID: 19786633.
crossref
8. Shaw LJ, Hendel RC, Cerquiera M, Mieres JH, Alazraki N, Krawczynska E, et al. Ethnic differences in the prognostic value of stress technetium-99m tetrofosmin gated single-photon emission computed tomography myocardial perfusion imaging. J Am Coll Cardiol. 2005; 45:1494–1504. PMID: 15862425.
crossref
9. Uthamalingam S, Zheng H, Leavitt M, Pomerantsev E, Ahmado I, Gurm GS, et al. Exercise-induced ST-segment elevation in ECG lead aVR is a useful indicator of significant left main or ostial LAD coronary artery stenosis. JACC Cardiovasc Imaging. 2011; 4:176–186. PMID: 21329903.
crossref
10. Shiba C, Chikamori T, Hida S, Igarashi Y, Tanaka H, Hirose K, et al. Important parameters in the detection of left main trunk disease using stress myocardial perfusion imaging. J Cardiol. 2009; 53:43–52. PMID: 19167637.
crossref
11. Berman DS, Kang X, Slomka PJ, Gerlach J, de Yang L, Hayes SW, et al. Underestimation of extent of ischemia by gated SPECT myocardial perfusion imaging in patients with left main coronary artery disease. J Nucl Cardiol. 2007; 14:521–528. PMID: 17679060.
crossref
12. Afonso L, Mahajan N. Single-photon emission computed tomography myocardial perfusion imaging in the diagnosis of left main disease. Clin Cardiol. 2009; 32:E11–E15.
crossref
13. Duvernoy CS, Ficaro EP, Karabajakian MZ, Rose PA, Corbett JR. Improved detection of left main coronary artery disease with attenuation-corrected SPECT. J Nucl Cardiol. 2000; 7:639–648. PMID: 11144479.
crossref
14. Wakasugi S, Shibata N, Kobayashi T, Fudemoto Y, Hasegawa Y, Nakano S. Specific perfusion pattern in stress 201Tl myocardial scintigraphy of left main coronary artery disease. Eur J Nucl Med. 1986; 12:369–374. PMID: 3792371.
crossref
15. Arnett EN, Isner JM, Redwood DR, Kent KM, Baker WP, Ackerstein H, et al. Coronary artery narrowing in coronary heart disease: comparison of cineangiographic and necropsy findings. Ann Intern Med. 1979; 91:350–356. PMID: 475165.
crossref
16. Galbraith JE, Murphy ML, de Soyza N. Coronary angiogram interpretation. Interobserver variability. JAMA. 1978; 240:2053–2056. PMID: 702698.
crossref
17. Goldberg RK, Kleiman NS, Minor ST, Abukhalil J, Raizner AE. Comparison of quantitative coronary angiography to visual estimates of lesion severity pre and post PTCA. Am Heart J. 1990; 119:178–184. PMID: 2404387.
crossref
18. Nallamothu BK, Spertus JA, Lansky AJ, Cohen DJ, Jones PG, Kureshi F, et al. Comparison of clinical interpretation with visual assessment and quantitative coronary angiography in patients undergoing percutaneous coronary intervention in contemporary practice: the Assessing Angiography (A2) project. Circulation. 2013; 127:1793–1800. PMID: 23470859.
19. Fihn SD, Gardin JM, Abrams J, Berra K, Blankenship JC, Dallas AP, et al. 2012 ACCF/AHA/ACP/AATS/PCNA/SCAI/STS Guideline for the diagnosis and management of patients with stable ischemic heart disease: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines, and the American College of Physicians, American Association for Thoracic Surgery, Preventive Cardiovascular Nurses Association, Society for Cardiovascular Angiography and Interventions, and Society of Thoracic Surgeons. J Am Coll Cardiol. 2012; 60:e44–e164. PMID: 23182125.
20. Lee CS, Cha RH, Lim YH, Kim H, Song KH, Gu N, et al. Ethnic coefficients for glomerular filtration rate estimation by the modification of diet in renal disease study equations in the Korean population. J Korean Med Sci. 2010; 25:1616–1625. PMID: 21060751.
crossref
21. Lang RM, Badano LP, Mor-Avi V, Afilalo J, Armstrong A, Ernande L, et al. Recommendations for cardiac chamber quantification by echocardiography in adults: an update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging. J Am Soc Echocardiogr. 2015; 28:1–39.e14. PMID: 25559473.
crossref
22. Henzlova MJ, Duvall WL, Einstein AJ, Travin MI, Verberne HJ. ASNC imaging guidelines for SPECT nuclear cardiology procedures: Stress, protocols, and tracers. J Nucl Cardiol. 2016; 23:606–639. PMID: 26914678.
crossref
23. Berman DS, Abidov A, Kang X, Hayes SW, Friedman JD, Sciammarella MG, et al. Prognostic validation of a 17-segment score derived from a 20-segment score for myocardial perfusion SPECT interpretation. J Nucl Cardiol. 2004; 11:414–423. PMID: 15295410.
24. Cerqueira MD, Weissman NJ, Dilsizian V, Jacobs AK, Kaul S, Laskey WK, et al. Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart. A statement for healthcare professionals from the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association. Circulation. 2002; 105:539–542. PMID: 11815441.
crossref
25. Medina A, Suárez de Lezo J, Pan M. A new classification of coronary bifurcation lesions. Rev Esp Cardiol. 2006; 59:183. PMID: 16540043.
crossref
26. Hachamovitch R, Hayes SW, Friedman JD, Cohen I, Berman DS. A prognostic score for prediction of cardiac mortality risk after adenosine stress myocardial perfusion scintigraphy. J Am Coll Cardiol. 2005; 45:722–729. PMID: 15734617.
crossref
27. Nygaard TW, Gibson RS, Ryan JM, Gascho JA, Watson DD, Beller GA. Prevalence of high-risk thallium-201 scintigraphic findings in left main coronary artery stenosis: comparison with patients with multiple- and single-vessel coronary artery disease. Am J Cardiol. 1984; 53:462–469. PMID: 6695774.
crossref
28. Rehn T, Griffith LS, Achuff SC, Bailey IK, Bulkley BH, Burow R, et al. Exercise thallium-201 myocardial imaging in left main coronary artery disease: sensitive but not specific. Am J Cardiol. 1981; 48:217–223. PMID: 7270431.
crossref
29. Lima RS, Watson DD, Goode AR, Siadaty MS, Ragosta M, Beller GA, et al. Incremental value of combined perfusion and function over perfusion alone by gated SPECT myocardial perfusion imaging for detection of severe three-vessel coronary artery disease. J Am Coll Cardiol. 2003; 42:64–70. PMID: 12849661.
crossref
30. Lindstaedt M, Spiecker M, Perings C, Lawo T, Yazar A, Holland-Letz T, et al. How good are experienced interventional cardiologists at predicting the functional significance of intermediate or equivocal left main coronary artery stenoses? Int J Cardiol. 2007; 120:254–261. PMID: 17346818.
crossref
31. Berman DS. Fourth annual Mario S. Verani, MD Memorial Lecture: noninvasive imaging in coronary artery disease: changing roles, changing players. J Nucl Cardiol. 2006; 13:457–473. PMID: 16919569.
crossref
32. Aarnoudse WH, Botman KJ, Pijls NH. False-negative myocardial scintigraphy in balanced three-vessel disease, revealed by coronary pressure measurement. Int J Cardiovasc Intervent. 2003; 5:67–71. PMID: 12745861.
crossref
33. Schuijf JD, Achenbach S, de Feyter PJ, Bax JJ. Current applications and limitations of coronary computed tomography angiography in stable coronary artery disease. Heart. 2011; 97:330–337. PMID: 21258119.
crossref
34. Abizaid AS, Mintz GS, Abizaid A, Mehran R, Lansky AJ, Pichard AD, et al. One-year follow-up after intravascular ultrasound assessment of moderate left main coronary artery disease in patients with ambiguous angiograms. J Am Coll Cardiol. 1999; 34:707–715. PMID: 10483951.
crossref
35. Cho SG, Park KS, Kim J, Kang SR, Song HC, Kim JH, et al. Coronary flow reserve and relative flow reserve measured by N-13 ammonia PET for characterization of coronary artery disease. Ann Nucl Med. 2017; 31:144–152. PMID: 27848160.
crossref
36. Ragosta M, Dee S, Sarembock IJ, Lipson LC, Gimple LW, Powers ER. Prevalence of unfavorable angiographic characteristics for percutaneous intervention in patients with unprotected left main coronary artery disease. Catheter Cardiovasc Interv. 2006; 68:357–362. PMID: 16892431.
crossref

Supplementary Materials

The online-only Data Supplement is available with this article at https://doi.org/10.3348/kjr.2018.19.1.101.

Supplementary Table 1

Characteristics of Patients according to Ischemia Severity on SPECT
kjr-19-101-s001.pdf
Fig. 1

Perfusion defect patterns according to coronary stenosis severity.

LMCD = left main coronary artery disease, VD = vessel disease
kjr-19-101-g001
Fig. 2

Myocardial ischemia according to severity of LM stenosis.

LM = left main
kjr-19-101-g002
Fig. 3

Linear correlations between coronary artery stenosis and myocardial perfusion percent.

LAD = left anterior descending artery, LCX = left circumflex artery
kjr-19-101-g003
Fig. 4

Myocardial stress perfusion according to presence of stenosis ≥ 70% in epicardial coronary arteries other than LM.

*p < 0.05 compared to none.
kjr-19-101-g004
Table 1

Clinical and Echocardiographic Findings of Study Patients

kjr-19-101-i001
Characteristic Value (n = 55)
Age, years 68.1 ± 10.9
Men, n (%) 39 (70.9)
Body mass index, kg/m2 23.6 ± 2.8
Risk factors, n (%)
 Hypertension 37 (67.3)
 Diabetes mellitus 27 (49.1)
 Dyslipidemia 14 (25.5)
 Current smoking 21 (38.2)
 Previous CAD 11 (20.0)
Typical anginal symptoms, n (%) 24 (43.6)
Acute coronary syndrome, n (%) 24 (43.6)
Laboratory findings
 Total cholesterol, mg/dL 174 ± 59
 Low-density lipoprotein cholesterol, mg/dL 102 ± 48
 High-density lipoprotein cholesterol, mg/dL 40.6 ± 12.1
 Triglyceride, mg/dL 141 ± 94
 C-reactive protein, mg/dL 0.99 ± 1.87
 Estimated glomerular filtration rate, mL/min/1.73m2 68.9 ± 29.8
Echocardiographic findings
 Left ventricular end-systolic dimension, mm 35.4 ± 9.8
 Left ventricular end-diastolic dimension, mm 51.1 ± 7.2
 LVEF, % 57.6 ± 14.4
 Left ventricular mass index, g/m2 115 ± 38
 Regional wall motion abnormality, n (%) 25 (45.5)
 E/e' 15.3 ± 6.8
 Left atrial size, mm 40.1 ± 6.2

CAD = coronary artery disease, LVEF = left ventricular ejection fraction

Table 2

Angiographic Characteristics

kjr-19-101-i002
Characteristic Value (n = 55)
CAD extent, visual assessment, n (%)
 LM disease only 4 (7.3)
 LM disease + one vessel disease 9 (16.4)
 LM disease + two vessel disease 20 (36.4)
 LM disease + three vessel disease 22 (40.0)
 Significant stenosis (≥ 70%) in other arteries
  LAD 28 (50.9)
  LCX 27 (49.1)
  RCA 37 (67.2)
Locations and characteristics of LM disease, n (%)
 Ostial 10 (18.2)
 Mid 10 (18.2)
 Distal 35 (63.6)
 Bifurcation 43 (78.2)
 Calcification 38 (69.1)
 Eccentric 13 (23.6)
 Ulceration 4 (7.3)
Quantitative coronary analysis
 LM stenosis severity, % 69.3 ± 10.7
 LM proximal reference vessel diameter, mm 3.89 ± 0.62
 LM lesion length, mm 5.98 ± 3.41
 LM minimal luminal diameter, mm 1.84 ± 0.51
 Angle between LM and proximal LAD, ° 141 ± 20
 Angle between LM and proximal LCX, ° 120 ± 23
Bifurcation type, n (%)
 1/1/1 16 (29.1)
 1/1/0 14 (25.5)
 1/0/1 4 (7.3)
 1/0/0 21 (38.2)

LAD = left anterior descending artery, LCX = left circumflex artery, LM = left main, RCA = right coronary artery

Table 3

SPECT Findings

kjr-19-101-i003
Characteristic Value (n = 55)
Summed rest score 4.53 ± 5.35
Summed stress score 12.9 ± 7.8
 Normal (< 4), n (%) 6 (10.9)
 Mildly abnormal (4–8), n (%) 12 (21.8)
 Moderately abnormal (9–13), n (%) 12 (21.8)
 Severely abnormal (> 13), n (%) 25 (45.5)
SDS 7.84 ± 5.50
 No ischemia (0–1), n (%) 9 (16.4)
 Mild ischemia (2–4), n (%) 10 (18.2)
 Moderate ischemia (5–8), n (%) 19 (34.5)
 Severe ischemia (> 8), n (%) 17 (30.9)
Reversible perfusion defect (SDS ≥ 2), n (%)
 LAD territory 28 (50.9)
 LCX territory 29 (52.7)
 RCA territory 26 (47.3)
Summed motion score 11.4 ± 12.9
Summed thickening score 10.3 ± 9.2
At rest
 End-diastolic volume, mL 96.1 ± 50.5
 End-systolic volume, mL 49.3 ± 45.7
 LVEF, % 55.0 ± 15.7
During stress
 End-diastolic volume, mL 114.4 ± 61.7
 End-systolic volume, mL 59.9 ± 52.7
 LVEF, % 53.1 ± 15.9

SDS = summed difference score, SPECT = single-photon emission computed tomography

Table 4

Association between Reversible Perfusion Defect and Coexistent Obstructive CAD

kjr-19-101-i004
Coexistent obstructive CAD Areas of Reversible Perfusion Defect
None LAD LCX RCA LAD + LCX LAD + RCA LCX + RCA LAD + LCX + RCA Total
LM only 1 1 1 1 4
LM + LAD 2 2 1 5
LM + LCX 1 1 1 3
LM + RCA 1 1
LM + LAD + LCX 3 1 1 1 2 8
LM + LAD + RCA 1 2 1 1 2 7
LM + LCX + RCA 2 1 1 1 5
LM + LAD + LCX + RCA 2 2 2 1 1 1 6 7 22
Total 10 10 6 4 3 2 7 13 55
Table 5

Angiographic Predictors of Ischemia on SPECT

kjr-19-101-i005
Variable LAD Territory Stress Perfusion Percent LCX Territory Stress Perfusion Percent
r P R P
LM stenosis severity 0.021 0.881 −0.004 0.975
LM reference vessel diameter 0.207 0.130 −0.174 0.205
LM lesion length −0.105 0.445 −0.031 0.823
LM minimal luminal diameter 0.109 0.429 −0.092 0.504
LAD stenosis severity −0.455 < 0.001 - -
LAD reference vessel diameter 0.163 0.234 - -
LAD lesion length 0.062 0.655 - -
LAD minimal luminal diameter 0.345 0.010 - -
LCX stenosis severity - - 0.010 0.942
LCX reference vessel diameter - - 0.137 0.319
LCX lesion length - - 0.117 0.393
LCX minimal luminal diameter - - 0.073 0.594
Angle between LM and pLAD 0.189 0.167 - -
Angle between LM and pLCX - - 0.020 0.987
Bifurcation type 0.259 0.056 −0.018 0.897

pLAD = proximal left anterior descending artery, pLCX = proximal left circumflex artery

TOOLS
Similar articles