Journal List > Korean J Radiol > v.21(2) > 1141492

Ahn, Koo, Lee, Kim, Song, Kang, Song, Kim, Kim, Jung, Choo, Chung, Lee, Kang, and Yang: Preoperative Cardiac Computed Tomography Characteristics Associated with Recurrent Aortic Regurgitation after Aortic Valve Re-Implantation

Abstract

Objective

To identify the preoperative cardiac computed tomography (CT) factors influencing postoperative recurrent aortic regurgitation (AR) in patients who underwent aortic valve repair with the re-implantation technique (David operation) due to AR.

Materials and Methods

A total of 117 patients (age, 49.4 ± 15.6 years; 83 males) who underwent the David operation for AR were included in this retrospective study. Aortic root profiles including the aortic regurgitant orifice area (ARO) and the aortic cusp asymmetry ratio of the areas (ASRarea), which is defined as the maximum/minimum areas among the three cusp areas at the level of the commissures, were measured on preoperative cardiac CT scans. Clinical and CT findings were compared between a group with recurrent AR grade < 3 (no, trivial, or mild AR) and recurrent ≥ 3 + AR. To determine the optimal cut-off values of ASR and ARO, the receiver operating characteristic (ROC) curve was used. Cox regression analysis was used for the analysis of the factors affecting recurrent 3 + AR.

Results

Postoperatively, recurrent 3 + AR developed in 17 (14.5%) patients and occurred within a median of 268 days (interquartile range: 78–582 days). The cut-off ARO value for discriminating the patients with recurrent 3 + AR was > 24 mm2 (sensitivity, 76.5%; specificity 64.8%), and the area under the ROC curve (AUC) was 0.72. For ASRarea, the cut-off value was > 1.58 (sensitivity, 76.5%; specificity, 58.0%) and the AUC was 0.64. Multivariable Cox regression showed that ARO > 24 mm2 (hazard ratio = 3.79, p = 0.020) was a potential independent parameter for recurrent 3 + AR. ROC for the linear regression model showed that the AUC for both ARO and ASRarea was 0.73 (95% confidence interval, 0.64–0.81, p < 0.001).

Conclusion

ARO and ASRarea detected on preoperative cardiac CT would be potentially helpful for identifying AR patients who may benefit from the David operation.

INTRODUCTION

Aortic valve replacement (AVR) improves the prognosis in patients with severe aortic regurgitation (AR) (12); however, the occurrence of prosthesis-related complications cannot be ignored (3). Systemic thromboembolism, valve thrombosis, anticoagulation-induced bleeding, prosthetic valve endocarditis, and structural deterioration of the prosthetic valves are the risks associated with surgical AVR (4). The cumulative risk of valve-related complications increases up to 50% at 10 years after AVR for the treatment of AR (45).
Aortic valve (AV) repair while maintaining the normal AV architecture is one of surgical options in young adult patients because lifelong anticoagulation and the valve durability after AVR can be problematic in these patients (6789). Surgical techniques for valve repair are applied according to the function of the leaflets and the size of the aortic root and ascending aorta. Several studies have demonstrated that AV repair is feasible in patients with AR caused by aortic root diseases or aortic cusp prolapses and that the incidence of valve-related complications, including reoperations, was low (678101112). In a previous study, AV repair showed improved postoperative patient survival compared to AVR in patients with severe AR (13). The reoperation rate was slightly higher in the AV repair group, but there was no statistical significance (8% vs. 2%, log-rank p = 0.350) (13). Despite these excellent results, it is still uncertain which patients will benefit from AV repair, and the preoperative prognostic factors for recurrent AR and reoperation are unknown.
Cardiac computed tomography (CT) has been used for preoperative AV assessment along with echocardiography, and CT allows detailed anatomical measurements and has shown excellent correlation with surgical findings (14). The shape of the aortic root, including aortic cusp asymmetry and the aortic regurgitant orifice area (ARO), can be easily assessed by CT multiplanar reconstruction images. The purpose of this study is to identify the factors influencing the development of postoperative, recurrent AR and the consequential reoperation using preoperative clinical and cardiac CT findings in patients who underwent AV repair with a re-implantation technique (David operation).

MATERIALS AND METHODS

Patient Population

This retrospective observational study was approved by the Institutional Review Board (approval number: 2018-1189), and the need for written informed consent was waived. In our hospital, AV repair with the re-implantation technique (David operation) is routinely performed for AR. We searched the cardiac surgery registry and medical records at our institution to identify consecutive patients who underwent AV-sparing surgery for AR and preoperative cardiac CT between January 2011 and April 2019. A total of 139 patients with AR underwent AV-sparing surgery for aortic root enlargement (n = 131), AV prolapse (n = 7), or cusp retraction (n = 1). Twelve patients (4 who underwent CT at other institutions and eight who underwent non-cardiac gated CT) who did not undergo preoperative multiphase cardiac CT were excluded. We also excluded two patients who had type I aortic dissection involving the aortic root because they underwent emergency surgery without electrocardiogram-gated cardiac CT scanning and measurement of the aortic root dimension was limited by motion artifacts of the dissecting intimal flap. In eight patients, AV-sparing operations were intraoperatively converted to Bentall operations due to failure of the David operation. Finally, 117 patients (age, 49.4 ± 15.6 years; 83 males) with preoperative cardiac CT scans were evaluated, and preoperative and postoperative follow-up echocardiography and medical records were thoroughly reviewed. All patients underwent intraoperative transesophageal echocardiography (TEE) and postoperative transthoracic echocardiography two days following surgery. Follow-up transthoracic echocardiography was performed after 6 months and every 6–12 months thereafter.

CT Protocol and Image Analysis

Preoperative cardiac CT was performed using a second generation, dual-source CT scanner (SOMATOM Definition Flash, Siemens Healthineers, Forchheim, Germany). Cardiac scanning was performed using a retrospective electrocardiogram-gated protocol. Detailed CT protocols are included in Supplementary Materials. CT data sets were reconstructed using a 10% R-R interval. Post-processing was performed using an external workstation (AquariusNet, TeraRecon, Foster City, CA, USA). Three diagnostic views were obtained for AV assessment: en-face view; oblique coronal view; and three-chamber view. The en-face view of the AV is parallel to the transverse plane of the three coronary sinuses. The three-chamber view (left ventricular [LV] outflow tract view) and oblique coronal view are perpendicular to each other. The ARO was measured from the en-face view on the end-diastolic phase of the CT images. For evaluation of the ARO using the planimetry method, images with 5–10-mm slice thickness were used to delineate the tips of the aortic cusps (Fig. 1). The aortic cusp asymmetry ratio (ASR) was obtained by determining the ratio of the diameters (ASRdiamter, the maximum length/minimum length among the three diameters that connect one commissure to the tip of the opposite cusp) or areas (ASRarea, the maximum size of the cusp to the minimum size of the cusp), and this was measured from the en-face view of the AV on the end-systolic phase and at the level at which the cusps sizes are maximal (Fig. 2). We chose the end-systolic phase because when aortic cusp prolapse occurred during diastole, the prolapsed leaflet margin could not be drawn in the same image plane with other normal leaflets. In patients with a bicuspid valve with raphe, the locations of aortic cusps were designated as the tricuspid valve. In bicuspid valves without raphe, ASR was calculated using the two cusps. The aortic root parameters were evaluated in consensus by two radiologists who were blinded to the clinical information, echocardiography findings, and surgical records. ARO and ASR were independently measured by a third radiologist to determine interobserver reliability.

Echocardiography

Echocardiography was performed using one of two commercial ultrasound machines with 3–5 MHz real-time transducers (Sonos 7500, Philips Medical Systems, Andover, MA, USA; Vivid 7, GE Healthcare, Waukesha, WI, USA). Expert cardiologists obtained preoperative, conventional, two-dimensional and Doppler images, and the images were stored digitally. Color Doppler images were obtained for evaluation of AR. The AR severity was graded over four degrees using the color Doppler grading system introduced by Perry et al. (15) with the jet height/LV height. Other parameters, including the LV ejection fraction and volumetric parameters such as the LV end-systolic volume index (ESVI), end-diastolic volume index (EDVI), and internal dimensions, were reviewed.

Functional Classification of AR

The aortic root and cusps were classified into three groups according to previously established surgical criteria: type 1, ascending aorta or aortic sinus or root dilatation exceeding the normal limits (16) (sinus, 45.4 mm; sinotubular junction [STJ], 37.8 mm; and mid-ascending aorta, 42.5 mm) with a normal cusp or perforation of the cusp (Supplementary Fig. 1): type 1a resulting from STJ and ascending aorta dilatation, type 1b resulting from dilatation of the sinus of Valsalva and STJ, type 1c resulting from dilatation of the ventriculoaortic junction, and type 1d resulting from cusp perforation. Type 2 involves cusp prolapse when one or more cusps drop inferiorly to the plane of the aortic annulus. Type 3 involves retraction with thickening of the cusps. Echocardiography or CT results were provided to the surgeons/pathologists before they performed an operation or pathologic specimen evaluation.

Operation Technique

The AV repair was performed using the re-implantation technique (David operation) (1718). Briefly, after institution of cardiopulmonary bypass (CPB) and aortic cross-clamping, the aortic root was transected approximately 5 mm distal to the STJ. The left and right coronary arteries were detached as buttons from the dilated aortic sinuses with a small rim of tissue surrounding their orifice for the graft reattachment. The base of the aortic root was dissected down to the level of the nadir of each of the aortic leaflets for placement of the basal first-line sutures. In preparation for the second-line hemostatic sutures, the aortic root was dissected along the scalloping contour of each of the individual sinuses. A straight dacron tube graft or a Valsalva graft (Vascutek Ltd, Leeds, UK) of appropriate size was selected for re-implantation. Usually, six anchoring first-line sutures were placed with pledgetted multifilament sutures along the plane of the cuspal nadirs. The rim of contiguous tissue adjacent to the valve leaflets was then sutured onto the graft for re-implantation. For cases showing absolute or relative leaflet prolapse as determined by measurement of the leaflet height, the free margin was plicated as necessary to achieve a leaflet height of at least 8–10 mm. When the patients showed concerning leaflet fenestrations, leaflet resuspension was performed. Finally, the resected coronary ostia buttons were re-implanted.

Statistical Analysis

Continuous data are expressed as means ± standard deviations and categorical data as numbers and percentages. Comparisons between a group with recurrent AR grade < 3 (residual 1 + to 2 + AR and no or trivial AR) and the others with recurrent ≥ 3 + AR or redo-David operation were performed using chi-square and Fisher's exact tests for categorical variables and the Student's t test and Mann-Whitney U test for continuous variables. Interobserver agreement values for measurement of ASR and ARO were obtained using two-way random model intra-class correlation coefficient (ICC) analyses with consistency assumption. To determine the optimal cut-off values of ASR and ARO, the receiver operating characteristic (ROC) curve was used. Based on the cut-off values, the ARO and ASR were converted to a binary variable indicating whether the ratio was larger or smaller than the cut-off value. Univariate and multivariable Cox regression analyses were used to assess the relationship between clinical/imaging factors and recurrent AR. Variables with p values < 0.1 in univariate Cox regression analysis were entered into a multivariable Cox regression model. ROC curve analysis was performed for the validation of the multivariable regression model. The Kaplan–Meier method was used to plot the time-to-event curves of the two groups. Statistical analysis was performed using commercial software (SPSS, version 21.0, IBM Corp., Armonk, NY, USA). A p value < 0.05 was considered statistically significant.

RESULTS

Patients and Operative Outcomes

Baseline characteristics of the 117 patients are shown in Table 1. Nine patients had bicuspid AV (with raphe, 6; without raphe, 3). On CT, the sizes of the cusps at the aortic sinus level were asymmetrically different, and the left coronary cusp was the smallest in 66 (56.4%) patients. In 29 (29.9%) patients, the non-coronary cusp was the smallest, and the right coronary cusp was the smallest in 16 (13.6%) patients.
Operations were performed by 4 of 6 experienced cardiac surgeons. In conjunction with ascending aorta replacement, total arch and hemiarch replacement were performed in 17 (14.5%) patients and 27 (23.1%) patients, respectively, and in 5 (4.3%) patients, only ascending aorta replacement was performed. Ascending aorta wrapping was performed in 5 (4.3%) patients. Concomitant coronary artery bypass was performed in 3 (2.6%) patients. All patients underwent intraoperative TEE after CPB weaning. CPB was re-applied in five patients for revision due to immediate postoperative AR detected on intraoperative TEE. The five patients showed no or trivial AR after the revision, and one of the patients developed recurrent AR two years after the David operation.
After a median follow-up duration of 16.2 months (interquartile range, 3.4–31.2 months), 17 (14.5%) patients had recurrent ≥ 3 + AR (Fig. 3), 52 patients presented with residual 1 + to 2 + AR, and 48 had no or trivial AR. The median interval between the David operation and the date of the recurrent AR detection was 268 days (interquartile range: 78–582 days). The 3-year recurrent AR-free survival rate was 76.3%. Among the 17 patients with recurrent ≥ 3 + AR, two underwent reoperation on the re-implanted aortic root. One patient with grade 4 AR underwent AVR, and the other patient underwent redo-David operation for grade 3 AR with recurrent annuloectasia.

AR Classification on Echocardiography and CT

On surgical inspection for patients who underwent the David operation, type 1a AR was the most common (n = 54), followed by type 1b (n = 53), type 2 (n = 7), type 1c (n = 2), and type 3 (n = 1) (Table 2). Cohen's kappa for agreement of the CT and echocardiographic findings with the results of surgical inspection as the reference standard was 0.85 for CT and 0.95 for echocardiography.

Prediction of Recurrent 3 + AR after David Operation

Intra-observer agreement for ARO and ASRarea were excellent (ICC = 0.99 for both). Patients with ARO > 24 mm2 (36.0 vs. 76.5%, p = 0.003) or ASRarea > 1.58 (42.0 vs. 76.5%, p = 0.008) were significantly more common in the recurrent 3 + AR group. On ROC analysis, the cut-off value for predicting postoperative recurrent 3 + AR was 24 mm2 (sensitivity, 76.5%; specificity, 64.8%), and the area under the ROC curve (AUC) was 0.72 (95% confidence interval [CI] 0.63–0.80, p < 0.001) (Fig. 4). The cut-off ASRarea value for predicting postoperative recurrent 3 + AR was 1.58 (sensitivity, 76.5%; specificity, 58.0%), and the AUC was 0.64 (95% CI 0.54–0.72, p = 0.04). In case of ASRdiameter, the cut-off value for predicting postoperative recurrent 3 + AR was 1.07 (sensitivity 58.8%, specificity 61.0%), and the AUC was 0.55 (95% CI 0.39–0.71, p = 0.51). Therefore, we chose the ASRarea instead of the ASRdiameter as the parameter for binary conversion. The ROC for the linear regression model using both ARO and ASRarea showed that the AUC for both ARO and ASRarea was 0.73 (95% CI, 0.64–0.81, p < 0.001), and there were no statistical differences between the three ROC curves (p > 0.05).
On univariate Cox regression analysis, ARO > 24 mm2, ASRarea > 1.58, ESVI, and EDVI on preoperative echocardiography were significant predictive factors for recurrent 3 + AR (p < 0.05 for all comparisons) (Table 3). In the multivariable Cox regression model, ARO > 24 mm2 was independently associated with recurrent 3 + AR (hazard ratio [HR], 3.79; 95% CI, 1.23–11.70; p = 0.020). ASRarea > 1.58 was not a statistically significant factor (HR, 2.72; 95% CI, 0.88–8.39; p = 0.085). The presence of a bicuspid valve itself was not a significant factor associated with postoperative recurrent 3 + AR. Cox analysis results after excluding nine patients with bicuspid valve are included in Supplementary Table 1, but the results are similar to the original result that included bicuspid valves.
The Kaplan–Meier analysis showed the time to the development of recurrent 3 + AR (Fig. 5). Recurrent 3 + AR was more common in patients who had ARO > 24 mm2 or ASRarea > 1.58 than in those who did not. The difference between the curves was significant with an ARO cut-off value of 24 mm2 (log-rank test, p = 0.005). Curves with an ASRarea cut-off value of 1.58 also showed a significant difference (log-rank test, p = 0.032).

DISCUSSION

In this study, we showed that the ARO and ASRarea measured on preoperative CT images were associated with recurrent AR after the David operation. ARO > 24 mm2 was identified as an independent predictor of recurrent 3 + AR. Asymmetric aortic cusps are prone to develop recurrent AR after the David operation, and the cut-off ASRarea value was 1.58.
The David operation is a well-established technique in AR and can help eliminate anticoagulation-related problems and the resultant thromboembolic events. The main concern after this operation is recurrent AR (17). Previous studies have revealed predictive factors based mainly on intra- or postoperative echocardiography findings such as the level or length of coaptation, annulus size, and residual AR immediately following the surgery (1920). Alternatively, cardiac CT is currently the emerging imaging modality as it can assess the aortic cusps and root in detail and simultaneously evaluate the coronary artery. As predictors of postoperative recurrent 3 + AR, the preoperative cardiac CT parameters ASRarea and ARO, could help identify patients who may benefit from the David operation rather than AVR and vice versa. Further studies with large cohorts to identify whether the CT findings can potentially be used as predictive factors for the failure of the David operation are needed.
The plane of the STJ and the plane at the basal attachment of the aortic annulus are usually nonparallel, and the individual aortic sinuses and cusps are asymmetrical with respect to one another (2122). While cusp asymmetry is often accentuated with root dilatation in AR, aortic cusp enlargement occurs through various hemodynamic influences on cusp adaptation and distensibility (23). The aortic root is a three-dimensional structure in which the individual cusps, sinuses, and the annulus coexist in a spatial geometric relationship that is defined by the variability in their respective depths, widths, and heights. Due to this normally existent complex geometry, the ability of the surgeon to restore the root to its native configuration is extremely limited. As the aortic root dilates, it becomes more asymmetric and when the ability to adaptation of cusps is limited, AR occurs (23). Because AV repair is a procedure that generates an ideal diameter of graft symmetrically including the three cusps, we thought that aortic cusp asymmetry could be a possible factor influencing the level of difficulty of operation and is consequently related to remnant AR. The greater the pre-existent native asymmetry, the greater will be the tendency for the root to deviate from its native asymmetrical state secondary to the inherent tendency of the surgical repair to induce a structurally symmetrical root postoperatively. A previous study reported the association of the aortic symmetric index on TEE with recurrent AR after AV-sparing surgery (24). The resultant geometric distortions, albeit inadvertent, may ultimately contribute to the development of recurrent AR, and it is our contention that the ASRarea observed in our study is a reflection of these geometric alterations resulting thereof.
Our study has several limitations. First, we retrospectively included patients who underwent the David operation and preoperative cardiac CT. Patients who had not undergone preoperative cardiac CT were excluded. However, in our hospital, we routinely performed preoperative cardiac CT before the David operation, except in individuals who have contraindications for a CT exam. Second, although we thoroughly evaluated CT findings to describe the mechanism of AR, structural CT images could not reflect hemodynamic information. Vice versa, the mechanism of AR may not be detectable by surgical inspection of a non-physiological, flaccid heart during open-heart surgery. However, preoperative cardiac CT with multiphase data can provide information regarding the exact motion of aortic leaflets as well as morphological information regarding the aortic root that may associated with the repairability of AR. Preoperative cardiac CT-driven ARO and ASRarea assessments may help decision-making when choosing the operation type and considering conversion to AV replacement during the operation. Third, the binary values of ARO and ASRarea were used because of the small number of patients. Further studies to confirm the effectiveness of ARO and ASRarea for predicting AV repairability are warranted. Moreover, analysis of other risk factors such as postoperative aortic leaflet height and immediate postoperative echocardiography findings that may potentially affect AR recurrence but were deemed to be beyond the scope of this study were not included since this study aimed to focus on preoperative cardiac CT imaging-related factors. Continuing comprehensive evaluation of multiple clinical and imaging factors over a larger population may yield further valuable information in a future study. Finally, the preference for AV repair over AVR depends considerably on the clinical experience of the cardiac surgeons. Therefore, our results could not be applied in medical institutions that prefer AVR or whose clinicians have less clinical experience.
In conclusion, we evaluated preoperative CT characteristics to predict recurrent AR after the David operation. ARO > 24 mm2 measured on preoperative CT was an independent factor associated with the development of recurrent AR. Precise evaluation of preoperative CT findings before the operation may be helpful for AR patients who may benefit from the David operation.

Figures and Tables

Fig. 1

Measurement of ARO.

A. Schema of AR with prolapse of coronary cusp. B. Patient with prolapse of right coronary cusp causing AR. Levels of tips of cusps are not parallel to annulus level. En-face view of AV at level of C, dotted line in (A) and (B), is depicted in (C), and tip of right coronary cusp is not delineated on this level. At level of (D), right coronary cusp is noted, but ARO cannot be drawn below intercommissural points. (E) Using 10-mm thickness images (white box area) in en-face view, we can include tips of coronary cusps as depicted in figure (F), and ARO is drawn (dotted area) (G). All CT images are obtained on end-diastolic phase. AR = aortic regurgitation, ARO = aortic regurgitant orifice area, AV = aortic valve
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Fig. 2

Measurement of aortic cusp ASR.

A. Measurement of ARO (dashed white line) on AV en-face view when in end-diastolic phase. Cross-sectional image is acquired with 10-mm thick-slab overlapping. B. AV en-face view when in end-systolic phase at level comprising all three commissures. C. ASRdiameter was defined as maximum/minimum lengths among three diameters (dashed lines) from one commissure to tip of opposite cusp. D. ASRarea was defined as maximum/minimum areas among three cusp areas (dashed white lines). ASR = asymmetry ratio, ASRarea = aortic cusp asymmetry ratio of areas, ASRdiameter = aortic cusp asymmetry ratio of diameters, L = left coronary cusp, N = non-coronary cusp, R = right coronary cusp, RR = RR interval
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Fig. 3

34-year-old female with type 1a AR.

A, B. Aortic cusp ASRdiameter (dashed lines) and ASRarea (dashed white lines) were measured on end-systolic phase. C, D. ARO was measured on end-diastolic phase. (C) Leaflets are not well demonstrable on 1-mm thickness image of AV in en-face view; therefore, (D) 5–10-mm-thick slices are used to measure ARO (dashed white line). E. On postoperative CT, four days after David operation, AV en-face view on end-diastolic phase demonstrated small central coaptation defect (arrowheads). F. Recurrent ARO was noted on thick-slice thickness (dotted-lined area). On same day, grade 3 AR was detected.
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Fig. 4

ROC curves for two cardiac CT predictive factors (ARO and aortic cusp ASRarea) for predicting recurrent 3 + AR after AV repair with re-implantation technique (David operation).

AUC = area under ROC curve, CI = confidence interval, ROC = receiver operating characteristic
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Fig. 5

Kaplan–Meier survival analysis of curves for absence of recurrent 3 + AR according to preoperative cardiac CT parameters (ARO [A] and aortic cusp ASRarea [B], respectively).

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Table 1

Comparisons of Patients with Recurrent AR Grade < 3 (No, Trivial, or Mild AR) and Others with Recurrent AR Grade ≥ 3 after AV Repair with Re-Implantation Technique (David Operation)

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Data are noted as mean and standard deviation, median and interquartile ranges or numbers and percentages in parenthesis. AR = aortic regurgitation, ARO = aortic regurgitation orifice, ASR = aortic cusp asymmetry ratio, ASRarea = aortic cusp asymmetry ratio of areas, ASRdiameter = aortic cusp asymmetry ratio of diameters, AV = aortic valve, EDVI = end-diastolic volume index, ESVI = end-systolic volume index, LVEF = left ventricular ejection fraction, mAs = miliampere-second, STJ = sinotubular junction

Table 2

Agreement of AR Classification on CT and Echocardiography with Findings of Surgical Inspection

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Table 3

Univariate and Multivariable Cox Regression Analyses to Identify Clinical and CT Predictors of Postoperative Recurrent 3 + AR after AV Repair with Re-Implantation Technique (David Operation)

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Variables with p values less than 0.1 in univariate Cox regression analysis were entered into multivariable Cox regression model with backward elimination method. *HR for ARO is obtained per 10 mm2. CI = confidence interval, HR = hazard ratio

Notes

Conflicts of Interest The authors have no potential conflicts of interest to disclose.

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Supplementary Materials

The Data Supplement is available with this article at https://doi.org/10.3348/kjr.2019.0446.

Cardiac CT Protocol

Supplementary Fig. 1

Demonstration of functional classification of aortic regurgitation.

Supplementary Table 1

Univariate and Multivariable Cox Regression Analyses to Identify Clinical and CT Predictors of Postoperative Recurrent 3 + AR after AV Repair with Re-Implantation Technique (David Operation) after Excluding Patients with Bicuspid AV
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ORCID iDs

Yura Ahn
https://orcid.org/0000-0002-9188-1186

Hyun Jung Koo
https://orcid.org/0000-0001-5640-3835

Sahmin Lee
https://orcid.org/0000-0003-2250-7948

Dae-Hee Kim
https://orcid.org/0000-0002-8275-4871

Jong-Min Song
https://orcid.org/0000-0002-6754-8199

Duk-Hyun Kang
https://orcid.org/0000-0003-4031-8649

Jae-Kwan Song
https://orcid.org/0000-0002-6469-801X

Ho Jin Kim
https://orcid.org/0000-0002-0809-2240

Joon Bum Kim
https://orcid.org/0000-0001-5801-2395

Sung-Ho Jung
https://orcid.org/0000-0002-3699-0312

Suk Jung Choo
https://orcid.org/0000-0003-4291-302X

Cheol Hyun Chung
https://orcid.org/0000-0001-8981-6011

Jae Won Lee
https://orcid.org/0000-0003-0751-2458

Joon-Won Kang
https://orcid.org/0000-0001-6478-0390

Dong Hyun Yang
https://orcid.org/0000-0001-5477-558X

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