Background
Acute Stanford type A aortic dissection (AAD) with coronary involvement is associated with high mortality. However, coronary involvement is not always successfully visualized by computed tomography and two-dimensional (2D) transesophageal echocardiography (TEE). The aim of this study was to test the hypothesis that three-dimensional (3D) TEE can detect coronary involvement in patients with AAD.
Methods
Fifty-one consecutive patients with AAD who underwent intraoperative TEE using an iE33 system during emergency surgery were enrolled. Using computed tomographic images, conventional 2D transesophageal echocardiographic images, and a 3D transesophageal echocardiographic data set, the status of coronary ostia was evaluated and classified into four types—branching from true lumen, branching from false lumen, dissection, and unclear—and these results were compared with operative findings.
Results
In six patients, coronary involvement was diagnosed operatively by surgeons. They comprised dissection at three left coronary ostia and branching from false lumen at three right coronary ostia. All six cases were successfully detected by both 2D TEE and 3D TEE before instituting cardiopulmonary bypass. However, in 45 patients (90 ostia) confirmed operatively as having no coronary involvement, 69 ostia by computed tomography (36 in the left and 33 in the right coronary artery) and 16 ostia by 2D TEE (four in the left and 12 in the right coronary artery) were evaluated as unclear coronary involvement. On the other hand, 3D TEE clearly depicted no coronary involvement in all but one (right coronary ostium) of the unclear cases.
Conclusions
Three-dimensional TEE reduced the number of cases evaluated as unclear coronary involvement by computed tomography and 2D TEE. In patients with AAD, 3D TEE allows evaluation of the status of coronary ostia in the operating room.
Acute Stanford type A aortic dissection (AAD) has a high mortality rate, up to 1% to 2% per hour in the several hours after dissection occurs. The prognosis of patients with AAD is even worse if there are critical complications such as cardiac tamponade, aortic insufficiency, coronary involvement, and malperfusion syndromes to the brain, kidney, spinal cord, and gut. Outcomes are especially poor if dissection involves the coronary arteries; when the intimal flap extends to the coronary ostium, coronary malperfusion may result, with rapid worsening of the patient’s condition, resulting in death. Therefore, rapid and accurate diagnosis of coronary involvement for aggressive coronary revascularization and early aortic repair is necessary to salvage critically ill patients.
Generally, coronary involvement can be diagnosed by transthoracic echocardiography (TTE), transesophageal echocardiography (TEE), or computed tomography (CT). TEE may be the superior tool among these modalities because of its availability in the operating room and its safety even in hemodynamically unstable patients. However, the utility of conventional two-dimensional (2D) TEE is limited because of its tomographic nature, and visualization of coronary involvement is not always successful.
Recently, real-time three-dimensional (3D) TEE has been developed, by which optimal cross-sections can be extracted from a 3D echocardiographic data set. However, the usefulness of the newly developed 3D TEE for the examination of AAD has not been determined.
The aim of this study was to test the hypothesis that 3D TEE can visualize the coronary ostia and allows the evaluation of coronary involvement in patients with AAD.
Methods
Subjects
Fifty-one consecutive patients with AAD, diagnosed by contrast-enhanced CT, who underwent intraoperative echocardiography during emergency surgery at our institution between February 2009 and June 2011 were studied ( Figure 1 ). Ethical approval for this study was granted by the Sakakibara Heart Institute ethics committee, and patients gave informed consent before participation in the study.
CT
All patients underwent contrast-enhanced CT (noncardiac mode) because of suspicion of aortic dissection and were diagnosed as having AAD. Fifteen underwent both early-phase and late-phase contrast-enhanced CT (SOMATOM Sensation 16; Siemens Healthcare, Forchheim, Germany) according to our routine protocol; the image acquisition of early-phase CT began 30 sec after the intravenous administration of contrast material at an injection rate of 3 mL/sec, and late-phase CT began 90 sec after contrast material injection. Computed tomographic images had a slice thickness of 5 mm and included not only transverse sections but also coronal and sagittal sections.
Thirty-six patients from other hospitals underwent contrast-enhanced CT according to unknown protocols. Some of these patients’ computed tomographic images were firm images, and coronal and sagittal sections were not always included. However, their images were also sections with slice thickness of 5 mm, and the image quality was sufficient to diagnose AAD.
From these computed tomographic images, we detected the intimal flap and both coronary ostia and evaluated whether there was coronary involvement.
TEE
Both 2D TEE and 3D TEE were performed using an iE33 ultrasound system (Philips Medical Systems, Bothell, WA) with a 3D matrix-array transesophageal transducer (X7-2t).
The transesophageal probe was introduced after the patient was anesthetized and an endotracheal tube was placed. On 2D TEE, after the orienting landmark of the aortic valve had been demonstrated at a distance of approximately 30 cm from the patient’s teeth, the coronary arteries were identified as two parallel lines originating from the aortic lumen. The intimal flap of dissection is visualized as a mobile linear echo separating the true lumen from the false lumen in the aortic root.
We depicted the aortic valve and proximal ascending aorta at approximately 135° (long-axis view) to see the coronary arteries and intimal flap by rotating the probe from medially to laterally and by moving up and down. Next, we depicted the aortic valve at approximately 45° (short-axis view) to see the coronary arteries and intimal flap. Then, by manipulating the probe to identify the proximal extension of the intimal flap, we attempted to depict both the coronary ostium and the flap on the same planes of both short-axis and long-axis views in diastole, during which coronary flow signals were mainly observed. Finally, we evaluated the spatial relationship between the intimal flap and the coronary ostium to diagnose whether there was coronary involvement. In a series of these procedures, we acquired approximately 10 images. If we suspected coronary involvement, several images were additionally acquired. We also assessed whether patients had aortic regurgitation, other valvular heart diseases, and concomitant diseases while acquiring additional images.
Next, a 3D data set was acquired using 3D zoom mode or full-volume mode with 3D TEE. Three-dimensional zoom mode was a magnified pyramidal volume approximately 60° × 60° in size, which included the aortic valve and both the left and the right coronary ostia. This pyramidal volume data set of two consecutive cardiac cycles was acquired and stored digitally. In full-volume mode, a wide-angle pyramidal volume containing the aortic valve and both coronary ostia was acquired by electrocardiographic gating to merge narrow pyramidal volumes into a sector of approximately 60° × 60° to 100° × 100°, obtained over four to seven consecutive heartbeats. Three-dimensional zoom imaging was useful in patients with arrhythmias because it can be acquired without dependence on electrocardiographic gating.
The acquired 3D data set was digitally stored for subsequent analysis using QLAB software (Philips Medical Systems) supplied with the iE33. The multiplanar reconstruction mode of QLAB-3DQ allows the extraction of any plane from the 3D data set. In diastole, two planes (green-edged and red-edged planes) showing the short-axis and long-axis views, respectively, of the aortic root were set through the proximal part of the left coronary artery (LCA) or the right coronary artery (RCA). By this adjustment, we were able to obtain optimally aligned cross-sectional short-axis and long-axis views of the aortic root depicting both the coronary ostium and the flap ( Figure 2 , Video 1 [available at www.onlinejase.com ]). We then evaluated the spatial relationship between the coronary ostium and the medial flap to diagnose whether there was coronary involvement.
We compared the results of computed tomographic and 2D and 3D transesophageal echocardiographic evaluations, which had been confirmed by two or more reviewers, with the operative findings.
Diagnostic Criteria for Coronary Involvement
From the 2D transesophageal echocardiographic images acquired in diastole, we classified the spatial relationship of the ostium with the flap into four types: (1) true lumen (the ostium branching from the true lumen; Figures 3 A-1 and 3 A-2, Videos 2–4 [available at www.onlinejase.com ]), (2) false lumen (the ostium branching from false lumen; Figure 3 B, Videos 5 and 6 [available at www.onlinejase.com ]), (3) dissection (the flap extending through the ostium into the coronary artery; Figure 3 C, Video 7 [available at www.onlinejase.com ]), and (4) unclear (relationship not assessable (Figures 3 D-1 and 3 D-2, Videos 8–10 [available at www.onlinejase.com ]). From these 2D transesophageal echocardiographic evaluations, types 2 and 3 fulfill the diagnostic criteria for coronary involvement. Likewise, we classified the spatial relationship into four types in the same manner from the 3D transesophageal echocardiographic evaluations, the extracted optimal images from the 3D data set in diastole, and types 2 and 3 were diagnosed as coronary involvement.
Reproducibility
Intraobserver variability was determined by having one observer repeat the evaluation of the status of the coronary ostia 2 weeks later using computed tomographic and 2D and 3D transesophageal echocardiographic images in 15 randomly selected patients. Interobserver variability was determined by having a second observer perform these evaluations in the same 15 patients. Intraobserver and interobserver variability values were calculated using κ statistics.
Statistical Analysis
Standard methods were used to calculate sensitivity, specificity, positive predictive value, and negative predictive value. Continuous data are expressed as mean ± SD. Categorical data are presented as numbers or percentages. Continuous variables were compared using Student’s t tests. Categorical variables were compared using Fisher’s exact tests or χ 2 tests as appropriate. SPSS version 17.0 (SPSS, Inc., Chicago, IL) was used for statistical analyses.
Results
The clinical characteristics of patients are presented in Table 1 . The mean age was 65 ± 12 years. Coronary involvement was diagnosed operatively by surgeons in six patients, and acute aortic regurgitation was diagnosed by TTE and TEE in four patients.
Characteristic | Value |
---|---|
Mean age (y) | 65 ± 12 |
Men | 29 (57%) |
Body mass index (kg/m 2 ) | 24 ± 4 |
Hypertension | 32 (63%) |
Diabetes | 7 (14%) |
Family history of aortic dissection | 1 (2%) |
Marfan syndrome | 0 (0%) |
Bicuspid aortic valve | 0 (0%) |
Open-heart surgery | 2 (4%) |
Chronic coronary artery disease | 2 (4%) |
Acute myocardial infarction | 3 (6%) |
Coronary involvement | 6 (12%) |
Acute aortic regurgitation | 4 (8%) |
Acute heart failure | 2 (4%) |
Cardiogenic shock ∗ | 8 (16%) |
Cardiac tamponade | 4 (8%) |
Aortic rupture | 2 (4%) |
False lumen thrombosis | 15 (29%) |
∗ Confirmed by the clinical criteria of the Myocardial Infarction Research Unit.
The clinical and procedural characteristics of patients with coronary involvement are presented in Table 2 . Among the six patients, three patients who had acute myocardial infarctions were all in shock. Five patients underwent additional coronary artery bypass grafting, and the other patient underwent a Bentall procedure, composite graft replacement of the ascending aorta and aortic valve with reimplantation of the coronary arteries into the graft, with reconstruction of right coronary ostium. All but two patients were discharged from our institution within 2 weeks. Although the two patients had bacterial infections, they were discharged home after about 2 months.
Characteristic | Value |
---|---|
Clinical | |
Mean age (y) | 66 ± 7 |
Men | 3 (50%) |
Acute myocardial infarction | 3 (50%) |
Shock | 3 (50%) |
Operative procedures | |
AAR and CABG | 4 (66%) |
TAR and CABG | 1 (17%) |
Bentall procedure | 1 (17%) |
The results of CT, 2D TEE, and 3D TEE are presented in Table 3 . It took a mean of 2.6 ± 0.5 min to perform 3D TEE. Both 2D and 3D TEE successfully diagnosed the six cases of coronary involvement (three each in the LCA and RCA). However, the status of coronary involvement was judged to be unclear in 16 patients (four in the LCA, 12 in the RCA) by 2D TEE. In these cases, the intimal flap appeared to overlie the coronary ostium, and the relationship of the two could not be assessed. On the other hand, 3D TEE depicted the coronary ostia branching from the true lumen in all except one (right coronary ostium only) of the 16 cases evaluated as unclear by 2D TEE. There were many unclear cases on CT because the ostia were sometimes not included in computed tomographic sections and were sometimes blurred because of motion artifacts.
Operative finding | n | CT | 2D TEE | 3D TEE |
---|---|---|---|---|
Left coronary ostia | ||||
True lumen | 48 | 15 | 44 | 48 |
False lumen | 0 | 0 | 0 | 0 |
Dissection | 3 | 0 | 3 | 3 |
Unclear | 0 | 36 | 4 | 0 |
Right coronary ostia | ||||
True lumen | 48 | 17 | 36 | 47 |
False lumen | 3 | 1 | 3 | 3 |
Dissection | 0 | 0 | 0 | 0 |
Unclear | 0 | 33 | 12 | 1 |