Literature DB >> 32337374

Comparison of different imaging modalities for the quantification of tricuspid valve geometry and regurgitation: a retrospective, single-center study.

Can Öztürk1, Robert Schueler2, Marcel Weber1, Georg Nickenig1, Christoph Hammerstingl3.   

Abstract

BACKGROUND AND AIMS: Tricuspid regurgitation (TR) is a frequent valvular heart disease with relevant adverse impact on patients' prognosis. Adequate TR imaging and evaluation is challenging. In this study, we aimed to compare different imaging modalities (echocardiography and multi-slice computed tomography) for the assessment of tricuspid valve (TV) function and geometry.
METHODS: We retrospectively investigated patients that presented to University Hospital Bonn, Germany, between September 2018 and March 2019, who underwent comprehensive echocardiography and multi-slice computed tomography (MSCT) to evaluate TR. MSCT was considered the reference approach for dimensional assessment of TV anatomy and echocardiography (transthoracic echocardiography + transesophageal echocardiography) for functional assessment of TV. We used Spearman's Rank order correlation, Bland-Altman analysis, and intra-class correlation to compare the different imaging modalities.
RESULTS: Forty patients (Mean Age ± SD: 77.5 ± 7.1 years; 35% female) with high grade TR (effective regurgitant orifice area, EROA: 0.49 ± 0.3 cm2, RegVol: 49.5 ± 13.4 mL) were included. There was a statistically significant but moderate correlation between 2D-TEE and MSCT for anteroposterior (AP) (r = 0.68, 95% confidence interval [CI]: 0.44-0.93, P = .05; intraclass correlation [ICC]: 0.77, P = .03) and septolateral (SL) diameters (r = 0.71, 95% CI: 0.33-0.93, P = .03; ICC = 0.76, P = .05). MSCT and 3D-TEE showed a strong correlation for determination of TV annulus area (r = 0.94, 95% CI: 0.57-0.98, P = .002; ICC = 0.95, P = .4), perimeter (r = 0.9, 95% CI: 0.6-0.98, P = .002; ICC = 0.97, P = .3) and diameters (AP-Diameter: r = 0.73, 95% CI: 0.06-0.94, P = .03; ICC = 0.83, P = .09; SL-Diameter: r = 0.86, 95% CI: 0.47-0.97, P = .02; ICC = 0.95, P = .1). Only 3D-TEE allowed for direct measurement of planimetric EROA, which exhibited a significant difference from calculated EROA (0.49 ± 0.4 cm2, 0.67 ± 0.17 cm2, P = .05; r = 0.93, 95% CI: 0.5 to 0.99, P = .006). According to Bland-Altman analysis, we found a relevant agreement between MSCT and 3D-TEE only for TV area (bias: -1.95, 95% limits of agreement -3.6 to -0.1).
CONCLUSION: Only 3D-TEE allowed for sufficient simultaneous functional and dimensional assessment of TR in our cohort.
© 2020 The Authors. Health Science Reports published by Wiley Periodicals LLC.

Entities:  

Keywords:  multislice computed tomography; transesophageal echocardiography; tricuspid valve

Year:  2020        PMID: 32337374      PMCID: PMC7180046          DOI: 10.1002/hsr2.159

Source DB:  PubMed          Journal:  Health Sci Rep        ISSN: 2398-8835


three‐dimension anteroposterior effective regurgitation orifice area intraclass correlation left ventricle left ventricular ejection fraction multislice computed tomography proximal isovelocity surface area septolateral transesophageal echocardiography transthoracic echocardiography tricuspid valve tricuspid regurgitation

INTRODUCTION

Tricuspid regurgitation (TR) is a frequent valvular heart disease, with 1.6 million patients in the United States suffering from severe symptomatic TR. It is associated with increased mortality and morbidity, and TR most frequently occurs as a functional TR caused by tricuspid valve (TV) annular dilation and leaflet tethering secondary to the right atrial (RA) and/or ventricular (RV) dilation. Dedicated treatment options for solitary severe TR are scarce, and the benefit of isolated TV surgery on treated patients' prognosis and morbidity is not clear. Interventional TR annuloplasty with the Cardioband valve reconstruction system (Edwards Lifesciences, Irvine, California) and interventional TR edge‐to‐edge repair with the MitraClip system (Abbott Vascular, Santa Clara, California) have previously been tested in small patients' cohorts and have shown promising functional results.1, 5, 23 For procedural planning, determination of TR severity and accurate imaging of the TV anatomy is the most crucial step. Up to now, current guidelines do not provide unambiguous protocols for preprocedural patient selection and TV geometry assessment. Several studies have proven multi‐slice computed tomography (MSCT) to be superior for anatomical and pathological assessment of atrioventricular valves compared to 2D imaging modalities in the setting of transcatheter valve therapies. However, MSCT has some essential limitations, such as radiation exposure to the patient and the use of nephrotoxic contrast dye. Importantly, MSCT does not allow for TR grading, real‐time TV imaging, and intraprocedural guiding. Although 3D transesophageal echocardiography (3D‐TEE) theoretically enables precise determination of the TV geometry, echocardiographic imaging might be limited by poor image quality, and echocardiographic views are not standardized for the assessment of TV annular geometry.7, 8 The adequate global assessment of TV and TR is challenging. There is no imaging modality for both anatomical and functional TV assessment. Therefore, we aimed to compare different imaging modalities, namely 2D‐, 3D‐TEE, and MSCT, for the assessment of TV function, annular dimension, and TR grading, with the goal of attempting to identify a one‐stop‐shop imaging solution for TV and TR assessment.

METHODS

We retrospectively examined consecutive patients presenting at the University Hospital Bonn, Heart Center, Germany, between September 2018 and March 2019, with symptomatic, significant TR (≥severe TR), in whom MSCT and comprehensive echocardiography (transthoracic echocardiography + transesophageal echocardiography) have been performed to evaluate TV function and dimensions for planning interventional TR therapy. The inclusion criteria of the present study were sufficient image quality for postprocessing analysis (ie, easily identifiable images with all basic requirements from all needed views without missing any anatomical areas or acquisition requirements due to any limitations) and required 3D acquisitions in patients who were admitted for the evaluation of high‐grade symptomatic TR in our center. Patients with incomplete examinations, without required 3D acquisitions, and with images of severely reduced quality were excluded. All imaging modalities were performed during first hospitalization for TR evaluation on compensated state without any sign for cardiac decompensation under intensive intravenous diuretic therapy. In echocardiography, the acquisitions were done during at least 3 cardiac cycles—5 cardiac cycles in case of atrial fibrillation—to avoid discrepancies due to dysrhythmia. Here, we considered MSCT as the reference modality for dimensional assessment of complex and challenging TV anatomy and echocardiography for functional assessment of TV. The observer of MSCT images was blinded to the results of 2D‐/3D‐TEE studies and vice versa. All echocardiographic examinations were performed with GE Vivid E9 (GE Health Medical, Horten, Norway) with 3D probes M5Sc‐D and 6VT‐D. According to current standards for morphological TV assessment, we aimed to determine end‐diastolic septolateral (SL), anteroposterior (AP) diameters, TV annular perimeter, and area for the evaluation of TV annular geometry. In 2D‐TEE, diameters were measured using mid‐esophageal views at 40‐60° (AP‐diameter) and 120‐150° (SL‐diameter). The TV perimeter and area were estimated from a transgastric “en‐face” view of the TV at 20‐40° (Figure 1 ).
Figure 1

Assessment of tricuspid valve (TV) geometry in 2D‐TEE and 3D‐TEE. A, Biplane grasping view from mid‐esophageal transesophageal echocardiography (TEE) to visualize anteroposterior (AP)‐ and septolateral (SL)‐diameter. B, Transgastric view at 40° to visualize TV annulus. C) Multiplane reconstruction of complete volume dataset from transgastric “en‐face” view at 20‐40° (TV view from the right atrium side): Dimensional assessment of TV

Assessment of tricuspid valve (TV) geometry in 2D‐TEE and 3D‐TEE. A, Biplane grasping view from mid‐esophageal transesophageal echocardiography (TEE) to visualize anteroposterior (AP)‐ and septolateral (SL)‐diameter. B, Transgastric view at 40° to visualize TV annulus. C) Multiplane reconstruction of complete volume dataset from transgastric “en‐face” view at 20‐40° (TV view from the right atrium side): Dimensional assessment of TV For 3D‐TEE, complete volume data sets with an average frame rate from 15 to 25 Hz were acquired with and without color‐Doppler coming from a mid‐esophageal “inflow‐outflow” view of the TV at 40‐60° and transgastric view at 20‐40° during breath‐holding over four heart‐cycles. Color‐Doppler was performed according to our internal standardized setting for TR evaluation with adapted Color Gain and Nyquist limit between 20 and 30 m/s. Then, 3D datasets were analyzed using commercially available software (EchoPAC, vBT13; GE Healthcare Vingmed Ultrasound, Horten, Norway). Cardiac MSCT was performed in spiral mode during 5 to 10 cardiac cycles. The heart is captured with low pitch of 0.2‐0‐5. ECG editing was used to overcome dysrhythmia‐related insufficient image quality such as “misregistration” or “blurred hazy.” Moreover, 5 mg Bisoprolol or Metoprolol was given if required, to maintain low and regular hearth rate. The triphasic contrast agent injection protocol was performed to assess right heart side, tricuspid valve, and right and left ventricular global function. The contrast agent protocol was performed via antecubital vein in three phases: 30‐40 mL contrast agent was first applied at 5 mL/s, followed by a 1:1 contrast agent and saline (15‐25 mL at 3.5 mL/s), and finally, 20 mL saline injection at 3.5‐4 mL/s. MSCT images were evaluated offline using a dedicated widely used DICOM viewer (OsiriX MD, Pixmeo SARL, Bernex, Switzerland) offering post‐processing techniques in each dimension as well as 3D navigation. We performed offline a multiplanar reconstruction of MSCT images to assess AP‐Diameter from the two‐chamber long‐axis, SL‐Diameter from the RV inflow‐outflow view, and Perimeter and Area from the short‐axis. All measurements were performed at end‐diastole (Figure 2).
Figure 2

Assessment of TV geometry in multislice computed tomography (MSCT). In short axis view (image on the left): tricuspid valve (TV) perimeter und cross sectional area; in two‐chamber long‐axis view (image in the middle): anteroseptal diameter; in right ventricle (RV) inflow‐outflow view (image on the right): TV septolateral diameter

Assessment of TV geometry in multislice computed tomography (MSCT). In short axis view (image on the left): tricuspid valve (TV) perimeter und cross sectional area; in two‐chamber long‐axis view (image in the middle): anteroseptal diameter; in right ventricle (RV) inflow‐outflow view (image on the right): TV septolateral diameter TR grading was performed according to available recommendations from international guidelines and more recent suggestions for a more precise determination of TR severity ; in accordance with the latter imaging protocol, 3D color volume data sets from the transgastric view at 20‐40° with standardized color gain and baseline shift in mid‐ to end‐systole were used for the direct assessment of regurgitation volumes by determination of effective regurgitant orifice area (EROA),10, 11 (Figure S1 ). We compared semi‐quantitative measures on TR severity with direct planimetric measurements from 3D‐TEE for correlation and reproducibility. We used postprocessing analysis of 3D volume data sets of transgastric TV “en‐face” view” to assess TV dimension employing multiplanar reconstruction (Supplemental Figure S2).

STATISTICAL ANALYSIS

Continuous data is expressed as mean values (± SD), if normally distributed. Categorical data is shown in percentage values. Shapiro Wilk test was performed to assess normal distribution. Spearman's Rank correlation analysis was performed to evaluate strength and direction of monotonic relationship between parameters of TV geometry. Student's two‐tailed t test was performed to compare differences in continuous variables. Bland‐Altman analysis was performed to compare two measurement methods, TEE vs MSCT. The results of the Bland‐Altman analysis are presented as mean difference (bias) and 95% limits of agreement. Mean differences were compared by using the paired t test (two‐tailed). Inter‐method reliability was evaluated by intra‐class correlation (ICC) for total agreement, with good agreement defined as >0.80. Mean values and SDs between the measurements were obtained, and total agreement among the observation was calculated using intra‐class correlation analysis. Two‐tailed P‐values were considered to be significant if <.05. Statistical analyses were performed using SPSS for Windows (PASW statistic, Version 20.0.0.0, SPSS Inc., Chicago, Illinois).

ETHICAL CONSIDERATIONS

The study was approved by the Ethics committee of the Faculty of Medicine at University Hospital Bonn and was done in accordance with the Declaration of Helsinki. All patients signed written informed consent before study inclusion.

RESULTS

We evaluated 55 patients who were admitted for TR evaluation in our heart center between September 2018 and March 2019. A total of 40 consecutive patients (Mean Age ± SD: 77.5 ± 7.1 years; 14 [35%] female) at high surgical risk (Mean EuroSCORE II ± SD: 8.8 ± 2.1%) were ultimately included in the present study and underwent complete 2D‐/3D‐TEE and MSCT for evaluation of the severity of TR and TV anatomy. Clinical and demographic characteristics are presented in Table 1. Echocardiographic characteristics are shown in Table 2. All patients showed high‐grade TR.
Table 1

Clinical and demographic characteristics of patients included in the study (N = 40)

CharacteristicNumber (%) or Mean ± SD
Age (years)77.5 ± 7.1
EuroSCORE II (%)8.8 ± 2.1
Female, n (%)14 (35)
Heart rate (BPM)68 ± 13
Systolic blood pressure (mmHg)110 ± 19
Diastolic blood pressure (mmHg)67 ± 8
Creatinine levels (mg/dL)1.6 ± 0.5
NT‐proBNP levels (ng/L)5816.1 ± 991.3
Walking distance (6‐MWT) (meters)91 ± 55
Functional NYHA class, n (%)
a. NYHA III28 (70)
b. NYHA IV12 (30)
Previous myocardial infarction, n (%)7 (17.5)
Previous cardiac surgery, n (%)15 (37.5)
Hypertension, n (%)35 (87.5)
Smoking, n (%)10 (25)
Diabetes mellitus, n (%)7 (17.5)
COPD, n (%)17 (42.5)
Pacemaker, n (%)10 (25)
Symptoms, n (%)
a. Fatigue37 (92.5)
b. Palpitations5 (12.5)
c. Abdominal bloating27 (67.5)
d. Cachexia7 (17.5)
e. Edema40 (100)
f. Ascites25 (62.5)

Abbreviations: BPM, beats per minute; COPD, chronic obstructive pulmonary disease; 6‐MWT, six minutes walking test; NYHA, New York Heart Association; NT‐proBNP, N terminal pro brain natriuretic peptide.

Table 2

Baseline echocardiographic characteristics of included patients (N = 40)

CharacteristicNumber (%) or Mean ± SD
LV‐EF, (%)57 ± 11
Severity of TR, n (%)
TR grade III32 (80)
TR grade IV8 (20)
Etiology of TR, n (%)
Functional TR37(92.5)
Degenerative TR3(7.5)
TR PISA (mm)7.8 ± 1.7
TR VC (mm)8.3 ± 2.3
TR EROA (cm2)0.49 ± 0.13
TR RegVol (ml)49.5 ± 13.4
Right atrial area (cm2)57.2 ± 22.7
TAPSE (mm)1.7 ± 0.4
sPAP (mmHg)31.1 ± 13.2
S′ velocity(cm/s)7.4 ± 0.9
RV‐FAC, (%)34.1 ± 11.1

Abbreviations: EROA, effective regurgitant orifice area; FAC, fractional area change; LV‐EF, left ventricle ejection fraction; sPAP, systolic pulmonary artery pressure; PISA; proximal isovelocity surface area; RegVol, regurgitant volume; RV, right ventricle; S′ velocity; systolic myocardial velocity; TAPSE, tricuspid annular plane systolic excursion; TR, tricuspid regurgitation; VC, vena contracta widths.

Clinical and demographic characteristics of patients included in the study (N = 40) Abbreviations: BPM, beats per minute; COPD, chronic obstructive pulmonary disease; 6‐MWT, six minutes walking test; NYHA, New York Heart Association; NT‐proBNP, N terminal pro brain natriuretic peptide. Baseline echocardiographic characteristics of included patients (N = 40) Abbreviations: EROA, effective regurgitant orifice area; FAC, fractional area change; LV‐EF, left ventricle ejection fraction; sPAP, systolic pulmonary artery pressure; PISA; proximal isovelocity surface area; RegVol, regurgitant volume; RV, right ventricle; S′ velocity; systolic myocardial velocity; TAPSE, tricuspid annular plane systolic excursion; TR, tricuspid regurgitation; VC, vena contracta widths.

Quantification of TV geometry

In general, 2D‐TEE showed lower diameters than MSCT, with a significant but moderate correlation between both imaging modalities for AP‐diameters (2D‐TEE: 41.4 ± 7.8 mm, MSCT: 47.2 ± 8.9 mm, r = 0.68, 95% CI: 0.44‐0.93, P = .05; ICC: 0.77, P = .03) and for SL‐diameters (2D‐TEE: 41.6 ± 5.3 mm, MSCT: 46.6 ± 4.6 mm, r = 0.71, 95% CI: 0.33‐0.93, P = .03; ICC = 0.76, P = .05). We observed neither a statistically significant correlation nor inter‐method agreement between 2D‐TEE and MSCT concerning annulus perimeter (2D‐TEE: 117.6 ± 18.9 mm, MSCT: 130.3 ± 21.5 mm, r = 0.3, 95% CI: 0.29‐0.92, P = .4, ICC = 0.64, P = .09) and annulus area (2D‐TEE: 10.1 ± 3.3 cm2, MSCT: 13.4 ± 4.1 cm2, r = 0.5, 95% CI: 0.27‐0.9, P = .4, ICC = 0.63, P = .07) (Tables 3 and 5).
Table 3

Correlations between 2D‐TEE and MSCT concerning TV geometry

Variable2D‐TEEMSCT r (95% CI) P value
AP‐diameter, mm41.4 ± 7.847.2 ± 8.90.68 (0.44 to 0.93).05
SL‐diameter, mm41.6 ± 5.346.6 ± 4.60.71 (0.33 to 0.93).03
TV‐area, cm2 10.1 ± 3.313.4 ± 4.10.5 (0.27 to 0.90).4
TV‐perimeter, mm117.6 ± 18.9130.3 ± 21.50.3 (0.29 to 0.92).4

Abbreviations: AP, anteroposterior; CI, confidence interval; MSCT, multislice computed tomography; r, correlation coefficient; SL, septolateral; TEE, transesophageal echocardiography; TV, tricuspid valve.

Table 5

Assessment of inter‐method reliability from the different imaging modalities using intraclass correlation

VariableIntraclass correlation(95% CI) P value
Inter‐method agreement
2D‐TEE vs MSCTAP‐diameter0.770.54 to 0.89.03
SL‐ diameter0.760.28 to 0.91.05
TV‐perimeter0.640.34 to 0.88.09
TV‐area0.630.29 to 0.92.07
Inter‐method agreement
3D‐TEE vs MSCTAP‐diameter0.830.5 to 0.94.09
SL‐ diameter0.950.87 to 0.98.1
TV‐perimeter0.970.93 to 0.99.3
TV‐area0.950.86 to 0.98.4

Abbreviations: AP, anteroposterior; CI, confidence interval; MSCT, multislice computed tomography; SL, septolateral; TEE, transesophageal echocardiography; TV, tricuspid valve.

Correlations between 2D‐TEE and MSCT concerning TV geometry Abbreviations: AP, anteroposterior; CI, confidence interval; MSCT, multislice computed tomography; r, correlation coefficient; SL, septolateral; TEE, transesophageal echocardiography; TV, tricuspid valve. Between 3D‐TEE and MSCT, we found significant agreement and correlation in diameters (AP‐diameter; 3D‐TEE: 43.8 ± 3.2 mm, MSCT: 47.2 ± 8.9 mm, r = 0.73, 95% CI: 0.06‐0.94, P = .03, ICC = 0.83, P = .09 and SL.‐diameters; 3D‐TEE: 44.5 ± 3.6 mm, MSCT: 46.6 ± 4.6 mm, r = 0.86, 95% CI: 0.47‐0.97, P = .02, ICC = 0.95, P = .1). With regards to TV annulus areas, we observed a strong correlation between the values obtained with these two techniques (3D‐TEE: 12.9 ± 2.6 cm2, MSCT: 13.4 ± 4.1 cm2, r = 0.94, 95% CI: 0.57‐0.98, P = .002, ICC = 0.95, P = .4). Similarly, we observed strong correlation for perimeter (3D‐TEE: 130.1 ± 12.4 mm, MSCT: 130.3 ± 21.5 mm, r = 0.9, 95% CI: 0.6‐0.98, P = .002, ICC = 0.97, P = .3) Tables 4 and 5).
Table 4

Correlations between 3D‐TEE and MSCT concerning TV geometry

Variable3D‐TEEMSCT r (95% CI) P value
AP‐diameter, mm43.8 ± 3.247.2 ± 8.90.73 (0.06 to 0.94).03
SL‐diameter, mm44.5 ± 3.646.6 ± 4.60.86 (0.47 to 0.97).02
TV‐area, cm2 12.9 ± 2.613.4 ± 4.10.94 (0.57 to 0.98).002
TV‐perimeter, mm130.1 ± 12.4130.3 ± 21.50.90 (0.60 to 0.98).002

Abbreviations: AP, anteroposterior; CI, confidence interval; MSCT, multislice computed tomography; r, correlation coefficient; SL, septolateral; TEE, transesophageal echocardiography; TV, tricuspid valve.

Correlations between 3D‐TEE and MSCT concerning TV geometry Abbreviations: AP, anteroposterior; CI, confidence interval; MSCT, multislice computed tomography; r, correlation coefficient; SL, septolateral; TEE, transesophageal echocardiography; TV, tricuspid valve. Assessment of inter‐method reliability from the different imaging modalities using intraclass correlation Abbreviations: AP, anteroposterior; CI, confidence interval; MSCT, multislice computed tomography; SL, septolateral; TEE, transesophageal echocardiography; TV, tricuspid valve. The Bland‐Altman analysis revealed an absolute mean difference (bias) of −5.3 mm (95% limits of agreement −12.6 to 2.4) for AP‐Diameter, −0.8 mm (95% limits of agreement −4.8 to 3.05) for SL‐Diameter, −1.95 mm2 (95% limits of agreement: −3.6 to −0.1) for TV area, and −8.3 mm (95% limits of agreement −19.8 to 1.8) for TV perimeter (Figure 3).
Figure 3

Bland–Altman plot: Comparison of 3D‐transesophageal echocardiography (TEE) and multislice computed tomography (MSCT) concerning tricuspid valve (TV) geometry in patients included in this study (N = 40), for anteroposterior (AP)‐Diameter, septolateral (SL)‐Diameter, perimeter, and area. AP‐Diameter; Mean (bias): −5.3, 95% limits of agreement: −12.1 to 3.05. SL‐Diameter; Mean (bias): −0.8, 95% limits of agreement: −4.8 to 3.05. Perimeter; Mean (bias): −8.3, 95% limits of agreement: −19.8 to 1.8. Area; Mean (bias): −1.95, 95% limits of agreement: −3.6 to −0.1

Bland–Altman plot: Comparison of 3D‐transesophageal echocardiography (TEE) and multislice computed tomography (MSCT) concerning tricuspid valve (TV) geometry in patients included in this study (N = 40), for anteroposterior (AP)‐Diameter, septolateral (SL)‐Diameter, perimeter, and area. AP‐Diameter; Mean (bias): −5.3, 95% limits of agreement: −12.1 to 3.05. SL‐Diameter; Mean (bias): −0.8, 95% limits of agreement: −4.8 to 3.05. Perimeter; Mean (bias): −8.3, 95% limits of agreement: −19.8 to 1.8. Area; Mean (bias): −1.95, 95% limits of agreement: −3.6 to −0.1

TR grading

MSCT is unsuitable for TR grading, since essential parameters for TR grading (PISA, VC, EROA, RegVol) cannot be determined from MSCT. Only echocardiography allows for TR grading in line with guidelines. Importantly, we found significant differences between the 2D‐TEE‐based calculated EROAs according to semi‐quantitative PISA‐method and directly planimetric assessed EROA by use of 3D color volume data sets (0.49 ± 0.4 cm2, 0.67 ± 0.17 cm2, P = .05; r = 0.93, 95% CI: 0.5‐0.99, P = .006). In all cases, 2D‐TEE led to a significant underestimation of TR severity.

Assessment of TV anatomy

Compared to MSCT, only echocardiography enables real‐time dynamic simultaneous assessment of TV function and anatomy, which allows precise identification of the underlying TR pathology. 2D‐TEE identified functional TR in 36 cases, degenerative valve disease in three cases, and mixed disease in one of our cases. Of note, multiplanar reconstruction of 3D volume data sets with offline post‐processing analysis of TR leaflet mobility and anatomy changed the categorization of the underlying TR pathologies in 10 patients (25%) in comparison with 2D imaging. All of these patients were re‐classified from functional TR assessed by 2D‐TEE to degenerative TR caused by eccentric tricuspid valve prolapse.

DISCUSSION

The major findings of our study are that 2D echocardiography significantly underestimates TV annular dimension when compared with 3D imaging modalities (3D‐TEE and MSCT). Compared to MSCT, echocardiography provides adequate functional TV evaluation and is not significantly limited for dimensional TV assessment employing post‐processing multiplanar reconstruction, unless there is poor image. When planning TR treatment, only 3D echocardiography allows for a “one‐stop‐ shop” approach, with (a) quantification of TV dimensions without significant difference when compared to MSCT, (b) TR grading, and (c) identification of the TR underlying pathology. From a more clinical perspective, TEE has several important advantages, as it can be performed on site, during the intervention, in order to confirm TR severity and procedural planning. In general, echocardiography overcomes the disadvantages of radiation exposure and the need of nephrotoxic contrast dye.

How to approach the “forgotten valve”

The assessment of TV anatomy is difficult due to its complex 3D shape and variability, and lacks guidance from available evidence.12, 13 Although 2D echocardiography is defined as the gold standard for initial assessment of patients with suspected TV disease, it gives only a “raw estimation” of right heart pathologies and does not allow precise quantification of TV annular dimensions and geometry. In this study, we found that 2D echocardiography led to a systematic underestimation of tricuspid annular diameters, which is in line with the results of other colleagues on this topic8, 22; this is of vital importance and directly impacts treatment planning and decision making for available TR therapies.14, 15 Furthermore, 2D‐TEE failed to identify the TR underlying pathology in a considerable percentage of our patients. In these cases, reassessment of the TV with 3D imaging led to re‐classification of functional to degenerative valve disease. Consequently, we found that 2D echocardiography alone is inadequate for planning complex cardiac procedures such as TV annuloplasty or edge‐to‐edge repair.

3D imaging of the TV: Is it echocardiography or MSCT?

In line with Addetia and colleagues, we found a strong correlation between MSCT and 3D‐TEE for the quantification of TV areas and perimeters in our patient cohort. In our study, we used 3D imaging for procedural planning of patients with significant TR, and 3D‐TEE was able to determine annular geometry in the presence of significant tricuspid valve and/or right ventricular heart disease. When compared with MSCT, only 3D‐TEE allows for dynamic and real‐time assessment of the TV anatomy and function simultaneously, which might be of importance for decision‐making and interventional TR therapy in patients with high‐grade TR.17, 18 More importantly, 3D‐TEE but not MSCT enables precise analysis of TV leaflet mobility and anatomy in real‐time during multiple heart cycle, which remains an apparent limitation of static anatomic assessment with MSCT.

Method of choice for TR grading

The complexity and difficulties of TR grading have been recently addressed by different expert statements, which have already been in part adopted in current guidelines. MSCT lacks the ability for the determination of TR‐defining parameters such as PISA, VC, EROA, and RegVol. Therefore, MSCT is unsuitable for TR grading. Only echocardiography allows for TR grading in line with guidelines. TR and right heart diseases are complex entities with wide variation in the individuals' underlying patho‐anatomies.1, 2 Therefore, assessment of TR severity by the use of the EROA method has significant limitations, since it is based on the assumption of complex geometrical and stable hemodynamic conditions.16, 20 Thus, quantification of TR by the use of the semi‐quantitative PISA method differs significantly from the direct assessment of EROA with 3D‐TEE. This is in line with findings in patients presenting with functional mitral regurgitation.21, 22 We additionally found that 3D‐TEE offers promising assessment of TV geometry compared to cardiac computed tomography as well, which is essential for planning and evaluation of interventional therapy. The complexity of TR grading has already been addressed by Hahn and Baumgartner et al.11, 20 The authors emphasized the benefit of 3D imaging in this setting. Therefore, we would advise using 2D echocardiography as a fast and straightforward screening method to identify patients with significant TV disease. Procedural planning and decision‐making, on the other hand, should be based on imaging with 3D echocardiography.

LIMITATIONS

This single‐center, retrospective study has several limitations. We report data from a small number of patients, and all echocardiographical analyses were not analyzed for inter‐observer reproducibility. Furthermore, 15 patients were excluded, 9 due to incomplete examinations, and 6 due to insufficient image quality, which could have resulted in selection bias. Therefore, our results should be validated by a core‐lab in multicentric studies with a larger number of patients.

CONCLUSION

3D‐TEE is highly comparable to MSCT and preferable than 2D imaging for the assessment of tricuspid annulus. 3D‐TEE allows sufficient grading of TR and geometrical assessment of TV without significant differences compared to MSCT. Therefore, 3D‐TEE offers a promising one‐stop‐shop imaging solution for adequate TR and TV evaluation.

CONFLICT OF INTEREST

The authors report no conflict of interest.

AUTHOR CONTRIBUTIONS

Conceptualization: Can Öztürk, Christoph Hammerstingl Formal Analysis: Robert Schueler, Can Öztürk, Christoph Hammerstingl Investigation: Can Öztürk Methodology: Can Öztürk, Marcel Weber, Georg Nickenig, Christoph Hammersingl Supervision: Christoph Hammerstingl, Georg Nickenig Writing—Original Draft Preparation: Can Öztürk Writing—Review & Editing: Robert Schueler, Christoph Hammerstingl, Georg Nickenig All authors have read and approved the final version of the manuscript. Can Öztürk had full access to all of the data in this study and takes complete responsibility for the integrity of the data and the accuracy of the data analysis.

TRANSPARENCY STATEMENT

Can Öztürk affirms that this manuscript is an honest, accurate, and transparent account of the study being reported; that no important aspects of the study have been omitted; and that any discrepancies from the study as planned (and, if relevant, registered) have been explained. Figure S1. Planimetric assessment of 3D‐EROA Transgastric view with color Doppler; planimetry of the effective regurgitant orifice area (EROA) in mid‐ to end‐systole Click here for additional data file. Figure S2. 3D‐Assessment complex tricuspid regurgitation (TR) pathology using multiplanar reconstruction Multiplanar reconstruction of complete of transgastric view at 20‐40° to adequately assess the main pathology: coaptation deficiency Click here for additional data file.
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1.  Three-dimensional color Doppler echocardiographic quantification of tricuspid regurgitation orifice area: comparison with conventional two-dimensional measures.

Authors:  Tien-En Chen; Susan H Kwon; Maurice Enriquez-Sarano; Benjamin F Wong; Sunil V Mankad
Journal:  J Am Soc Echocardiogr       Date:  2013-08-28       Impact factor: 5.251

Review 2.  Evaluation of tricuspid valve morphology and function by transthoracic three-dimensional echocardiography.

Authors:  Denisa Muraru; Luigi P Badano; Cristiano Sarais; Elena Soldà; Sabino Iliceto
Journal:  Curr Cardiol Rep       Date:  2011-06       Impact factor: 2.931

3.  European Association of Echocardiography recommendations for the assessment of valvular regurgitation. Part 2: mitral and tricuspid regurgitation (native valve disease).

Authors:  Patrizio Lancellotti; Luis Moura; Luc A Pierard; Eustachio Agricola; Bogdan A Popescu; Christophe Tribouilloy; Andreas Hagendorff; Jean-Luc Monin; Luigi Badano; Jose L Zamorano
Journal:  Eur J Echocardiogr       Date:  2010-05

4.  The need for a new tricuspid regurgitation grading scheme.

Authors:  Rebecca T Hahn; Jose L Zamorano
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2017-12-01       Impact factor: 6.875

5.  The 2017 ESC/EACTS guidelines on the management of valvular heart disease : What is new and what has changed compared to the 2012 guidelines?

Authors:  Helmut Baumgartner
Journal:  Wien Klin Wochenschr       Date:  2017-12-05       Impact factor: 1.704

Review 6.  The pathogenesis of functional tricuspid regurgitation.

Authors:  Judy Hung
Journal:  Semin Thorac Cardiovasc Surg       Date:  2010

7.  Transcatheter Treatment of Severe Tricuspid Regurgitation With the Edge-to-Edge MitraClip Technique.

Authors:  Georg Nickenig; Marek Kowalski; Jörg Hausleiter; Daniel Braun; Joachim Schofer; Ermela Yzeiraj; Volker Rudolph; Kai Friedrichs; Francesco Maisano; Maurizio Taramasso; Neil Fam; Giovanni Bianchi; Francesco Bedogni; Paolo Denti; Ottavio Alfieri; Azeem Latib; Antonio Colombo; Christoph Hammerstingl; Robert Schueler
Journal:  Circulation       Date:  2017-03-23       Impact factor: 29.690

Review 8.  All you need to know about the tricuspid valve: Tricuspid valve imaging and tricuspid regurgitation analysis.

Authors:  Olivier Huttin; Damien Voilliot; Damien Mandry; Clément Venner; Yves Juillière; Christine Selton-Suty
Journal:  Arch Cardiovasc Dis       Date:  2015-12-23       Impact factor: 2.340

9.  3-Dimensional Echocardiographic Analysis of the Tricuspid Annulus Provides New Insights Into Tricuspid Valve Geometry and Dynamics.

Authors:  Karima Addetia; Denisa Muraru; Federico Veronesi; Csaba Jenei; Giacomo Cavalli; Stephanie A Besser; Victor Mor-Avi; Roberto M Lang; Luigi P Badano
Journal:  JACC Cardiovasc Imaging       Date:  2017-11-15

10.  Value of assessment of tricuspid annulus: real-time three-dimensional echocardiography and magnetic resonance imaging.

Authors:  Ashraf M Anwar; Osama I I Soliman; Attila Nemes; Robert-Jan M van Geuns; Marcel L Geleijnse; Folkert J Ten Cate
Journal:  Int J Cardiovasc Imaging       Date:  2007-02-13       Impact factor: 2.357

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