Literature DB >> 34791134

Flow displacement and decreased wall shear stress might be associated with the growth rate of an ascending aortic dilatation.

Tarmo Korpela1,2, S Petteri Kauhanen1,3, Elina Kariniemi4, Petri Saari3, Timo Liimatainen5, Pekka Jaakkola2, Ritva Vanninen3, Marja Hedman1,2,3.   

Abstract

OBJECTIVES: Our goal was to evaluate whether four-dimensional (4D) flow magnetic resonance imaging (MRI) can predict the growth rate of dilatation of the ascending aorta (AA) in patients with a tricuspid, normally functioning aortic valve.
METHODS: In this prospective clinical study, aortic 4D flow MRI was performed at the Kuopio University Hospital on 30 patients diagnosed with AA dilatation (maximum diameter >40 mm) between August 2017 and July 2020. The MRI was repeated after a 1-year follow-up, with AA dimensions and 4D flow parameters analysed retrospectively at both time points. The standard error of measurement was used to assess the statistical significance of the growth rate of AA dilatation. Flow displacement (FD) was transformed to a class-scaled parameter using FD ≥5% as a threshold.
RESULTS: Statistically significant growth [median 2.1 mm (1.5-2.2 mm); P = 0.03] was detected in 6 male patients (20%); the AA diameter remained unchanged [0.2 mm (-0.3 to 0.9 mm)] in 24 patients (80%). An increased FD at the baseline was associated with significant growth during the 1-year follow-up in the proximal AA. An association was detected between decreased total wall shear stress and significant aortic growth in the inner curve of the sinotubular junction [529 mPa (449-664 mPa) vs 775 mPa (609-944 mPa); P = 0.03] and the anterior side of the proximal aortic arch [356 mPa (305-367 mPa) vs 493 mPa (390-586 mPa); P < 0.001].
CONCLUSIONS: FD and decreased wall shear stress seem to be associated with significant growth of AA dilatation at the 1-year follow-up. Thus, 4D flow MRI might be useful in assessing risk for AA diameter growth in patients with a tricuspid aortic valve.
© The Author(s) 2021. Published by Oxford University Press on behalf of the European Association for Cardio-Thoracic Surgery.

Entities:  

Keywords:  4D flow MRI; Aortic dilatation; Ascending aorta; Flow displacement; Wall shear stress

Mesh:

Year:  2022        PMID: 34791134      PMCID: PMC8788001          DOI: 10.1093/ejcts/ezab483

Source DB:  PubMed          Journal:  Eur J Cardiothorac Surg        ISSN: 1010-7940            Impact factor:   4.191


INTRODUCTION

Dilatation of the ascending aorta (AA) often develops without any clinically significant symptoms, making it difficult to detect. AA dilatation is usually an incidental finding of chest imaging [1]. In some cases, AA dilatation proceeds as a local aneurysm that may eventually make the AA susceptible to rupture. The incidence of thoracic aortic aneurysms is ∼10 cases per 100 000 person-years [2]. In general, common cardiovascular risk factors predispose one to AA dilatation. Furthermore, there are known aetiologies related to AA dilatation, e.g. genetic syndromes such as Marfan, vascular Ehlers–Danlos or Loeys–Dietz [3]. Although AA dilatation can develop in patients with either tricuspid aortic valve (TAV) or bicuspid aortic valve (BAV), the prevalence is much higher in individuals with BAV [4]. The diagnosis of AA dilatation is often made as an incidental finding when imaging the chest area for other purposes [5]. According to the European Society of Cardiology guidelines (2014), AA is classified as dilated when its maximum diameter exceeds 40 mm at any level of the vessel. Because of the asymptomatic progression of AA dilatation, follow-up imaging must be performed regularly. Surgery is indicated when the diameter of the AA exceeds 55 mm in cases without any specific aetiology [6]. In patients with high-risk aetiologies, such as those with genetic syndromes or BAV, the threshold for surgical intervention is lower (∼45–50 mm, depending on additional risk factors) [2, 6, 7]. Due to asymptomatic growth, the diagnosis and follow-up of AA dilatation would benefit from new methods. For example, three-dimensional time-resolved phase-contrast magnetic resonance imaging (MRI) [four-dimensional (4D) flow MRI] has proved to have potential in clinical use for assessing altered flow conditions in the aorta [8]. In previous studies, 4D flow parameters, such as flow displacement (FD) and increased wall shear stress (WSS), have been shown to correlate with AA dilatation [9, 10]. However, as far as we are aware, the predictive value of different 4D flow MRI parameters in association with the growth rate of AA dilatation has not been previously studied in patients with TAV, which was the goal of this study.

MATERIALS AND METHODS

Ethical statement

The present study was approved by the ethical committee of the Northern Savo Hospital district (200/2017, 11/4/2017), and the study followed the Declaration of Helsinki. The patients with AA dilatation scheduled for aortic MRI or computed tomography at the Kuopio University Hospital between July 2017 and July 2020 were recruited to this prospective follow-up study. All patients gave their written informed consent before participating in the study.

Study population

This prospective study included a cohort of 30 patients who were scheduled for aortic MRI angiography due to AA dilatation (diameter >40 mm in any plane of the AA, European Society of Cardiology guidelines 2014) at the Kuopio University Hospital. As baseline, MRI with 4D flow imaging was performed for each patient; the same protocol was repeated after a 1-year follow-up period. The patient characteristics and risk factors for cardiovascular diseases were collected from their medical records. Hypertension was defined as having medication prescribed for hypertension. Patients who were current smokers or had quit smoking <30 years previously were registered as smokers. Hypercholesterolaemia was defined as the patient having medication for dyslipidaemia. Mosteller’s formula was used to calculate the body surface area [11].

Magnetic resonance imaging

Siemens Magnetom Aera 1.5 T scanner (Erlangen, Germany) was used to conduct the MRI. A true fast imaging with steady state precession with a respiration navigator was utilized in MRI imaging [12]. The 4D flow MRI consensus statement was followed when the imaging parameters were selected for the study [13]. The 4D flow sequence was scanned with free breathing without contrast media and with ECG gating. Artefacts formed as a result of respiration were reduced by averaging. The complete imaging protocol was presented in detail in a previous publication [9].

Data collection and assessment of magnetic resonance images

Measurement of aortic dimensions

Observer 1 (Tarmo Korpela) retrospectively analysed aortic dimensions from MRI angiography images (n = 30) with the IDS7 (version 17.3.6; Sectra Imtec, Linköping, Sweden) diagnostic workstation. The diameter of the AA was measured in 2 planes: in the sinus of Valsalva and in the middle AA. Diameters were measured according to international recommendations [6]. The measurement of the sinus of Valsalva plane was performed in 3 different directions. In the middle AA plane, 2 measures perpendicular to each other were made (Fig. 1). The measurements of the AA dimensions were repeated by observer 1 after 1 month and also by independent blinded observer 2 (Elina Kariniemi).
Figure 1:

Illustration of the method of measuring aortic diameters in the sinus of Valsalva plane (A1–A3) and in the middle ascending aorta plane (B1–B3). The starting points are set to the outer vascular wall according to the European Society of Cardiology guidelines [6]. Three measures were made of the sinus of Valsalva and 2 of the middle ascending aorta; the greatest diameter was registered. The numbers illustrate the imaging projection as follows: (1) axial, (2) sagittal and (3) coronal.

Illustration of the method of measuring aortic diameters in the sinus of Valsalva plane (A1–A3) and in the middle ascending aorta plane (B1–B3). The starting points are set to the outer vascular wall according to the European Society of Cardiology guidelines [6]. Three measures were made of the sinus of Valsalva and 2 of the middle ascending aorta; the greatest diameter was registered. The numbers illustrate the imaging projection as follows: (1) axial, (2) sagittal and (3) coronal.

Measurement of four-dimensional flow magnetic resonance imaging parameters

The 4D flow parameters were analysed with CAAS MR Solutions software (Pie Medical Imaging, Maastricht, Netherlands, version 5.1). Flow was measured in 10 planes of the thoracic aorta (Fig. 2A). The flow parameters quantified in each plane were peak flow, peak velocity, minimum velocity, time points of flow measurements, forward flow (ml), backward flow (ml), regurgitation fraction (% proportion between backward and forward flow), cardiac output (ml/min), blood volume (ml/cardiac cycle) and FD (% proportion between the centre of the eccentric flow jet and the diameter of the vessel). WSS was divided into circumferential WSS (WSSC) and axial WSS (WSSA) components. Furthermore, total WSS (WSST) was calculated as the geometric sum of WSSA and WSSC. WSS was measured in planes 1 to 5. AA was split into six 60º segments: the starting point (0º) was placed in the inner curve and the 60º segments were arranged in an counterclockwise direction (Fig. 2B and C). WSS parameters were registered during peak systole.
Figure 2:

(A) Four-dimensional flow magnetic resonance imaging measurements were performed in 10 planes: (1) sinus of Valsalva, (2) sinotubular junction, (3) proximal segment of the ascending aorta, (4) middle ascending aorta, (5) proximal aortic arch, (6) plane immediately after the ostium of the truncus brachiocephalicus, (7) middle aortic arch, (8) end of the aortic arch, (9) proximal descending aorta and (10) middle descending aorta. (B) Wall sheer stress was analysed from planes 1 to 5. (C) The thoracic aorta was split into six 60º segments. The starting point (0º) was placed in the inner curve of the ascending aorta, and the 60º segments were arranged in an counterclockwise direction (red arrow).

(A) Four-dimensional flow magnetic resonance imaging measurements were performed in 10 planes: (1) sinus of Valsalva, (2) sinotubular junction, (3) proximal segment of the ascending aorta, (4) middle ascending aorta, (5) proximal aortic arch, (6) plane immediately after the ostium of the truncus brachiocephalicus, (7) middle aortic arch, (8) end of the aortic arch, (9) proximal descending aorta and (10) middle descending aorta. (B) Wall sheer stress was analysed from planes 1 to 5. (C) The thoracic aorta was split into six 60º segments. The starting point (0º) was placed in the inner curve of the ascending aorta, and the 60º segments were arranged in an counterclockwise direction (red arrow).

Intra- and interobserver analysis

For the analysis of intra- and interobserver reproducibility, the 4D flow MRI parameters were measured twice by observer 1 (Tarmo Korpela) and by an independent blinded observer 2 (Elina Kariniemi). Intraclass correlation coefficients (ICC) for the WSS values were calculated by averaging the values of six 60° segments and comparing the means.

Statistical analyses

Statistical analyses were performed with IBM SPSS Statistics (version 27, Chicago, IL, USA). Statistical significance was defined as P < 0.05 and high significance as P < 0.001. Abnormally distributed parameters are presented as median and interquartile range, normally distributed parameters, as mean ± standard deviation. For abnormally distributed parameters, the Mann–Whitney U-test was used to analyse the statistical significance in the flow parameters between the study groups with and without AA growth. The Wilcoxon signed rank test was utilized to assess the statistical significance in the aortic growth of each patient. The association between dichotomized parameters (FD) and the growth rate of the AA was tested with the χ2 test. The presence of a systematic error in the intra- and interobserver analyses was tested with a paired samples t-test. Intra- and interobserver reproducibilities were estimated using ICC with a two-way mixed effects model and absolute agreement. The standard error of measurement (SEM) was used to assess the measurement error when comparing aortic dimensions at the baseline and at the 1-year follow-up. The formula for SEM was SEM = standard deviation × √(1 − ICC). In the follow-up imaging after 1 year, aortic growth was deemed statistically significant if it exceeded the diameter calculated with the formula [the AA dimension at the 1-year follow-up > (AA dimension at the baseline + 2 × SEM)].

RESULTS

The mean age of the patients (n = 30) was 65.6 ± 8.3 years; 80% were men (n = 24). The mean body surface area was 2.1 ± 0.2 m2, and 87% (n = 26) of the patients had hypertension. There was no significant difference regarding conventional cardiovascular risk factors (e.g. hypertension, dyslipidaemia, smoking and positive family history) between the patients with or without aortic diameter growth at the 1-year follow-up. All patients had anatomically normal TAV without aortic stenosis. Detailed patient baseline characteristics are presented in Table 1.
Table 1:

Baseline characteristics of the study population

Total (n = 30)AA growth (n = 6)No AA growth (n = 24) P-value
Age (years)65.6 ± 8.368.5 ± 6.164.9 ± 8.80.4
Gender (male/female)24/66/018/60.3
Weight (kg)90.0 ± 17.389.8 ± 14.990.1 ± 18.21.0
Height (cm)176.6 ± 8.2177.8 ± 4.2176.3 ± 9.00.7
BSA (m2)2.1 ± 0.22.1 ± 0.22.1 ± 0.30.9
Diabetes, n (%)5 (17)1 (17)4 (17)1.0
Hypertension, n (%)26 (87)6 (100)20 (83)0.6
Dyslipidaemia, n (%)17 (57)4 (67)13 (54)0.7
Positive family history for CVD, n (%)9 (30)1 (17)8 (33)0.6
Smoker, n (%)4 (13)0 (0)4 (17)0.6

Continuous variables are presented as mean ± SD. Class-scaled variables are presented as frequencies.

AA: ascending aorta; BSA: body surface area; CVD: cardiovascular disease; SD: standard deviation.

Baseline characteristics of the study population Continuous variables are presented as mean ± SD. Class-scaled variables are presented as frequencies. AA: ascending aorta; BSA: body surface area; CVD: cardiovascular disease; SD: standard deviation.

Growth rate of the ascending aortic dilatation

At baseline, in the entire patient population (n = 30), the mean AA diameter was 47.9 mm (44.0–49.8 mm) in the sinus of Valsalva plane and 44.0 mm (39.5–47.7 mm) in the middle AA plane. After the 1-year follow-up, the mean diameters were 48.2 mm (44.7–49.9 mm) (P = 0.03) in the sinus of Valsalva plane and 44.9 mm (39.5–48.4 mm) (P = 0.5) in the middle AA plane. The growth rate of the sinus of Valsalva was higher in males than in females, in whom no significant growth was detected. Statistically significant aortic diameter growth was detected in 5 patients in the sinus of Valsalva plane and in 1 patient in the middle AA plane. These patients were combined as 1 group of 6 patients with AA diameter growth (100% men; mean age 68.5 ± 6.1 years), where the mean growth of the AA diameter was 2.1 mm (1.5–2.2 mm; P = 0.03). The AA diameter remained unchanged [0.2 mm (−0.3 to 0.9 mm); P = 0.4] in 24 patients (75% men, mean age 64.9 ± 8.8 years). The growth of AA diameter is illustrated in Fig. 3.
Figure 3:

A box plot describing the change in aortic diameter after the 1-year follow-up in the entire patient population.

A box plot describing the change in aortic diameter after the 1-year follow-up in the entire patient population. The detailed growth rates of the patients are presented in Table 2.
Table 2:

The growth rate of the ascending aortic diameter

Sinus of Valsalva (mm)
P-valueMiddle ascending aorta (mm)
P-value
Baseline1-Year follow-upBaseline1-year follow-up
Overall study population
 All (n = 30)47.9 (44.0–49.8)48.2 (44.7–49.9)0.0344.0 (39.5–47.7)44.9 (39.5–48.4)0.4
 Men (n = 24)48.1 (46.2–49.8)48.7 (46.4–50.6)0.0144.0 (39.4–47.9)44.9 (39.2–48.7)0.3
 Women (n = 6)43.0 (38.3–47.0)43.0 (38.4–46.5)0.545.3 (40.9–48.0)44.9 (40.7–48.2)0.8
Study groups subdivided according to aortic growth
 Statistically significant growth (n = 6)47.4 (41.5–51.5)49.4 (43.7–52.9)0.0346.5 (43.7–52.4)48.3 (44.4–53.3)0.2
 Statistically nonsignificant growth (n = 24)47.9 (44.6–49.8)47.9 (44.6–49.6)0.343.6 (39.2–47.4)43.1 (38.8–47.5)1.0

Results are presented as median (IQR). Wilcoxon signed rank test was used to calculate the P-values.

IQR: interquartile range.

The growth rate of the ascending aortic diameter Results are presented as median (IQR). Wilcoxon signed rank test was used to calculate the P-values. IQR: interquartile range.

Association of the four-dimensional flow magnetic resonance imaging parameters with aortic growth

The FD at the baseline associated significantly with the growth rate of AA dilatation in the 1-year follow-up in the proximal AA plane (plane 3). The median FD was 7.5% (6.5–10.5%) in the patients with significant AA growth (n = 6) and 5.0% (3.0–7.5%) in the patients with an unchanged AA diameter (n = 24; P = 0.038). On the basis of these results, FD was transformed into a class-scaled parameter by considering FD ≥5% as a threshold of a risk for subsequent AA diameter growth. When FD was dichotomized, all patients with significant AA growth (n = 6, 100%) had FD ≥5% in the proximal part of the AA at the baseline. In other planes, FD did not associate with aortic growth. Illustrative 4D flow images of the displaced flow in the proximal AA are presented in Fig. 4.
Figure 4:

Illustrative images of displaced flow in plane 3 (proximal ascending aorta) at the baseline. The cross represents the centre point of blood flow, and the circle represents the centre of the aorta. (A) Flow displacement is 2% in the aorta with no growth after the 1-year follow-up. (B) Flow displacement is 7% in the aorta with statistically significant growth after the 1-year follow-up.

Illustrative images of displaced flow in plane 3 (proximal ascending aorta) at the baseline. The cross represents the centre point of blood flow, and the circle represents the centre of the aorta. (A) Flow displacement is 2% in the aorta with no growth after the 1-year follow-up. (B) Flow displacement is 7% in the aorta with statistically significant growth after the 1-year follow-up. The significant growth of AA was associated with decreased total WSS values compared to WSS values in the patients with unchanged AA dimension in the inner curve of the sinotubular junction. In addition, the ratio between WSSC and WSST was higher at the baseline in the patients with significant AA growth in comparison to the patients with an unchanged AA diameter [72.4% (49.6–91.8%) vs 41.0% (30.8–65.1%); P = 0.03]. WSS values are presented in Table 3. None of the other 4D flow parameters were associated with aortic growth.
Table 3:

Wall shear stress values at the baseline in planes 1–5

WSST (mPa)
WSSA (mPa)
WSSC/WSST (%)
Growth (n = 6)Non-growth (n = 24) P-valueGrowth (n = 6)Non-growth (n = 24) P-valueGrowth (n = 6)Non-growth (n = 24) P-value
Plane 1
 Segment 5202.4 (26.0–397.7)588.9 (108.2–871.5)0.05168.0 (5.8–313.5)527.8 (96.8–720.4)0.0437.6 (20.7–66.9)36.4 (30.1–42.1)0.8
 Segment 6440.5 (82.7–761.9)526.0 (381.4–788.4)0.5341.9 (62.2–691.1)432.2 (349.4–754.2)0.440.7 (32.0–56.0)31.8 (20.8–38.6)0.1
Plane 2
 Segment 5638.1 (509.1–779.2)719.8 (532.2–834.1)0.5594.3 (440.5–773.1)701.7 (511.2–823.2)0.419.6 (14.5–35.8)18.4 (9.4–23.6)0.7
 Segment 6528.5 (448.5–663.6)774.8 (609.1–944.4)0.03516.1 (385.4–650.9)764.7 (538.3–928.1)0.0622.8 (14.7–46.3)15.9 (9.1–27.5)0.3
Plane 3
 Segment 5622.3 (382.5–1094.2)873.4 (503.2–1123.9)0.4483.0 (162.8–960.4)718.3 (383.8–976.4)0.544.1 (20.1–62.8)40.2 (30.2–54.9)0.9
 Segment 6737.9 (615.2–1181.0)882.2 (631.3–1020.2)0.9709.8 (359.3–899.4)704.9 (511.6–940.2)0.739.5 (20.7–63.7)42.5 (31.0–57.4)0.8
Plane 4
 Segment 5492.6 (343.2–648.7)614.3 (486.4–781.5)0.1282.4 (166.6–455.3)444.9 (357.7–693.4)0.0462.0 (58.7–86.0)52.6 (32.7–74.0)0.08
 Segment 6479.3 (276.7–765.1)638.0 (509.4–834.5)0.2314.5 (204.4–539.0)488.5 (401.2–720.5)0.0564.1 (51.4–76.3)50.0 (38.1–60.0)0.05
Plane 5
 Segment 5355.9 (305.1–367.4)493.2 (390.0–586.4)0.001198.5 (101.8–284.5)383.5 (284.4–508.0)0.00272.4 (49.6–91.8)41.0 (30.8–65.1)0.03
 Segment 6413.8 (292.3–471.2)469.0 (412.5–580.2)0.2268.9 (201.7–405.4)376.9 (247.5–466.0)0.0354.4 (43.0–79.4)55.9 (33.2–77.6)0.7

Statistical tests were conducted by the Mann–Whitney U-test. The results are presented as median (interquartile range). Plane 1: sinus of Valsalva; plane 2: sinotubular junction; plane 3: proximal AA; plane 4: mid-AA; plane 5: proximal aortic arch. Segment 5: anterior side of the AA; segment 6: anterior/inner curve of the AA.

AA: ascending aorta; WSST: total wall shear stress; WSSA: axial wall shear stress; WSSC: circumferential wall shear stress.

Wall shear stress values at the baseline in planes 1–5 Statistical tests were conducted by the Mann–Whitney U-test. The results are presented as median (interquartile range). Plane 1: sinus of Valsalva; plane 2: sinotubular junction; plane 3: proximal AA; plane 4: mid-AA; plane 5: proximal aortic arch. Segment 5: anterior side of the AA; segment 6: anterior/inner curve of the AA. AA: ascending aorta; WSST: total wall shear stress; WSSA: axial wall shear stress; WSSC: circumferential wall shear stress.

Intra- and interobserver reproducibility

No systematic error was detected in the aortic diameter in the intra- and interobserver measurements. Intraobserver reproducibility was very strong (ICC = 0.98; P < 0.001) as was interobserver reproducibility (ICC = 0.96; P < 0.001). The kappa value for the dichotomized FD in plane 3 was 0.47, which was considered moderate. A systematic error was evident in 2 planes (the sinotubular junction and the proximal AA) of the WSS measurements between the observers. Despite the systematic error, ICC values were still moderate in the sinotubular junction (ICC = 0.49; P = 0.02) and in the proximal aortic arch (ICC = 0.50; P = 0.003).

DISCUSSION

Dilatation of the AA is a common incidental finding during chest imaging. After diagnosis, patients with dilatation that is below operation thresholds require regular imaging follow-up. So far, the mechanisms of AA dilatation remain unclear, and only a few predisposing factors, with the exception of some genetic syndromes, are known [6]. Due to the possibility of asymptomatic growth of the AA, new methods are needed that would allow an early intervention before any serious complications occur. Currently, the only prognostic factor of a suspicion of AA diameter growth is a prior tendency to growth. The goal of our study was to evaluate AA growth and predisposing 4D flow MRI parameters with a 1-year follow-up in patients with AA dilatation and a normal aortic valve. Statistically significant AA growth was detected in 20% of the patients, all of whom were men. The key finding of the present study was that an increased FD and decreased WSS values had an association with the AA growth rate. The normal annual aortic root growth caused by ageing is ∼1 mm in 10 years in healthy individuals [14]. Davies et al. estimated that the annual growth in patients with hypertension who suffer AA aneurysms varied from 0.8 mm to 1.6 mm/year. Furthermore, the AA growth rate was calculated to be dependent on the location of the aneurysm: In the AA it was 0.7 and 1.9 mm/year in the descending aorta [15]. In this study, in the subgroup of patients with progressive AA diameter growth, the median annual aortic growth was found to be 2.1 mm/year in the sinus of Valsalva plane. In our study, due to the small number of patients, significant growth was determined using the SEM method. With this method, every fifth patient displayed significant growth in the AA. It is noteworthy that all of the patients with significant growth rates were men and had hypertension. On the other hand, over 80% of the patients without AA dilatation also had a history of hypertension. Thus, it seems that, although hypertension is very common in patients with AA growth, it is not the only explanatory factor. In our study, the strongest parameter predicting AA diameter growth was FD in the proximal AA. The shift of systolic flow from the centreline of the AA has been demonstrated to pose a burden on the aortic wall, especially on the same side experiencing the flow [9]. As far as we are aware, predictive causalities of 4D flow parameters have not been previously examined in patients with normal aortic valve anatomy and without any genetic syndromes. Instead, investigations in patients with BAV and Marfan syndrome have been published [10, 16–18]. Hope et al. [19] have shown that eccentric aortic flow, caused by BAV, leads to a faster growth rate of 1.2 mm/year of the aortic diameter compared to normal laminar flow with a growth rate of 0.3 mm/year. Furthermore, we discovered that FD was ≥5% in all patients in whom there was significant aortic growth at the 1-year follow-up, whereas FD was under 5% in all patients not exhibiting aortic growth. As a result, we transformed FD to a class-scaled parameter by using the 5% displacement as a prognostic threshold for subsequent dilatation. Increased FD during follow-up imaging might be a useful parameter in the risk evaluation of the patients with AA dilatation. The reproducibility for the dichotomized FD threshold proved to be moderate. Further studies are needed to assess the relationship and reproducibility between FD and AA diameter growth. Both increased and decreased WSS values have been reported to be associated with aneurysmal growth of the aortic diameter [9, 10, 20]. Previously, it has been shown that increased stress in the aortic wall evokes an endothelial dysfunction, leading to a thinning of the aortic wall that makes it vulnerable to aortic dilatation. Different pathophysiological mechanisms behind the decreased WSS have been postulated. For example, Jiang et al. [21] demonstrated that, in patients with hypertension, lower WSS values (systolic peak) and increased intima-media thickness of the common carotid artery were related to arterial dilatation as well as to the formation of atherosclerotic plaques and endothelial dysfunction. In this study, total WSS was lower in 2 planes of the AA at the baseline in the patients who would experience AA growth in comparison to those patients without AA growth. The decreased total WSS was associated with AA diameter growth in most of the segments in all 5 planes, being most evident in the inner curve of the sinotubular junction and in the anterior side of the proximal aortic arch. A similar association between decreased total WSS and AA dilatation was demonstrated earlier in patients with TAV [9]. Thus, in the thoracic aorta, a decreased WSS may be an early marker of subsequent AA growth.

Limitations

The main limitations of this study were the small study cohort (30 patients) and the relatively short follow-up time. However, we believe that this is the first study to explore the predictive value of 4D flow MRI parameters in patients with a normal aortic valve. The systematic error in 2 planes of the WSS measurements might have been caused by a lack of routine in using the diagnostic software. However, no similar systematic error was encountered in the assessment of the aortic dimensions, where reproducibility was shown to be strong in both intra- and interobserver measurements. In our study, the reproducibility of the averaged FD values was weak, but with dichotomized FD values, the reproducibility was moderate. Our result of moderate reproducibility for dichotomous FD suggests that it could be a feasible parameter for use in the evaluation of the risk for aortic growth.

CONCLUSION

To conclude, aortic FD and decreased total WSS might be associated with aortic growth in patients with AA dilatation and a tricuspid, normally functioning aortic valve. Thus, 4D flow MRI parameters may be a feasible way to identify those patients with a diagnosed AA dilatation who are at a greater risk of experiencing aortic growth. In the future, these parameters may help to stratify follow-up imaging protocols. However, further studies with more patients are warranted.
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3.  Aortic dilatation associates with flow displacement and increased circumferential wall shear stress in patients without aortic stenosis: A prospective clinical study.

Authors:  S Petteri Kauhanen; Marja Hedman; Elina Kariniemi; Pekka Jaakkola; Ritva Vanninen; Petri Saari; Timo Liimatainen
Journal:  J Magn Reson Imaging       Date:  2019-01-18       Impact factor: 4.813

4.  Interval changes in aortic peak velocity and wall shear stress in patients with bicuspid aortic valve disease.

Authors:  Ozair Rahman; Michael Scott; Emilie Bollache; Kenichiro Suwa; Jeremy Collins; James Carr; Paul Fedak; Patrick McCarthy; Chris Malaisrie; Alex J Barker; Michael Markl
Journal:  Int J Cardiovasc Imaging       Date:  2019-05-29       Impact factor: 2.357

Review 5.  Diagnosis and management issues in thoracic aortic aneurysm.

Authors:  Anna M Booher; Kim A Eagle
Journal:  Am Heart J       Date:  2011-06-15       Impact factor: 4.749

6.  Body surface area in normal-weight, overweight, and obese adults. A comparison study.

Authors:  Johan Verbraecken; Paul Van de Heyning; Wilfried De Backer; Luc Van Gaal
Journal:  Metabolism       Date:  2006-04       Impact factor: 8.694

7.  Echocardiographic reference values for aortic root size: the Framingham Heart Study.

Authors:  R S Vasan; M G Larson; E J Benjamin; D Levy
Journal:  J Am Soc Echocardiogr       Date:  1995 Nov-Dec       Impact factor: 5.251

Review 8.  Guilt by association: paradigm for detecting a silent killer (thoracic aortic aneurysm).

Authors:  John A Elefteriades; Adam Sang; Gregory Kuzmik; Matthew Hornick
Journal:  Open Heart       Date:  2015-04-24

Review 9.  4D flow cardiovascular magnetic resonance consensus statement.

Authors:  Petter Dyverfeldt; Malenka Bissell; Alex J Barker; Ann F Bolger; Carl-Johan Carlhäll; Tino Ebbers; Christopher J Francios; Alex Frydrychowicz; Julia Geiger; Daniel Giese; Michael D Hope; Philip J Kilner; Sebastian Kozerke; Saul Myerson; Stefan Neubauer; Oliver Wieben; Michael Markl
Journal:  J Cardiovasc Magn Reson       Date:  2015-08-10       Impact factor: 5.364

10.  Aortic flow patterns and wall shear stress maps by 4D-flow cardiovascular magnetic resonance in the assessment of aortic dilatation in bicuspid aortic valve disease.

Authors:  José Fernando Rodríguez-Palomares; Lydia Dux-Santoy; Andrea Guala; Raquel Kale; Giuliana Maldonado; Gisela Teixidó-Turà; Laura Galian; Marina Huguet; Filipa Valente; Laura Gutiérrez; Teresa González-Alujas; Kevin M Johnson; Oliver Wieben; David García-Dorado; Arturo Evangelista
Journal:  J Cardiovasc Magn Reson       Date:  2018-04-26       Impact factor: 5.364

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1.  4D-flow cardiac magnetic resonance imaging after aortic root replacement with long-valved decellularized aortic homografts: comparison to valve-sparing aortic root replacement and healthy controls.

Authors:  Tomislav Cvitkovic; Dmitry Bobylev; Alexander Horke; Murat Avsar; Philipp Beerbaum; Andreas Martens; Dietmar Böthig; Elena Petenà; Marcel Gutberlet; Frerk Hinnerk Beyer; Frank Wacker; Serghei Cebotari; Axel Haverich; Jens Vogel-Claussen; Samir Sarikouch; Christoph Czerner
Journal:  Eur J Cardiothorac Surg       Date:  2022-05-27       Impact factor: 4.534

2.  Wall Shear Stress Predicts Media Degeneration and Biomechanical Changes in Thoracic Aorta.

Authors:  Miika Kiema; Jaakko K Sarin; S Petteri Kauhanen; Jari Torniainen; Hanna Matikka; Emma-Sofia Luoto; Pekka Jaakkola; Petri Saari; Timo Liimatainen; Ritva Vanninen; Seppo Ylä-Herttuala; Marja Hedman; Johanna P Laakkonen
Journal:  Front Physiol       Date:  2022-07-07       Impact factor: 4.755

  2 in total

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