Abstract
Abstract
Acute aortic syndromes comprise a group of potentially fatal conditions that result from weakening of the aortic vessel wall. Pre-emptive surgical intervention is currently reserved for patients with severe aortic dilatation, although abundant evidence describes the occurrence of dissection and rupture in aortas with diameters below surgical thresholds. Modern imaging techniques (such as hybrid PET-CT and 4D flow MRI) afford the non-invasive assessment of anatomic, hemodynamic, and molecular features of the aorta, and may provide for a more accurate selection of patients who will benefit from preventative surgical intervention. In the current review, we summarize evidence and considerations regarding predictive aortic imaging and highlight evolving imaging modalities that have shown promise to improve risk assessment for the occurrence of dissection and rupture.
Key Points
• Guidelines for the preventative management of aortic disease depend on maximal vessel diameters, while these have shown to be poor predictors for the occurrence of catastrophic acute aortic events.
• Evolving imaging modalities (such as 4D flow MRI and hybrid PET-CT) afford a more comprehensive insight into anatomic, hemodynamic, and molecular features of the aorta and have shown promise to detect vessel wall instability at an early stage.
Keywords: Aorta, Aortic dissection, Aortic aneurysm, Type A dissection, Aortic rupture
Introduction
“Upon examining the heart, its pericardium was found distended with a quantity of coagulated blood, nearly sufficient to fill a pint cup; the whole heart was so compressed as to prevent any blood contained in the veins from being forced into the auricles; therefore, the ventricles were found absolutely void of blood; and, in the trunk of the aorta, we found a transverse fissure on its inner side, about an inch and a half long, through which some blood had recently passed … ”
In 1760, King George II of Great Britain died unexpectedly while “straining on the toilet,” and so became subject of the first ever case report on acute type A aortic dissection [1]. At autopsy, the King’s personal physician described findings of an intimal vessel wall tear and subsequent cardiac tamponade, which—as we now know—is one of the most feared complications of dissection. Along with pathophysiologically distinct entities like aneurysm rupture and intramural hematoma (IMH), dissection belongs to the spectrum of acute aortic syndromes (AASs). Despite best efforts, these have proven challenging to predict, and annual incidence rates have been stable at approximately 10 per 100,000 over the past decades [2, 3]. Cardiovascular imaging plays a central role in the preventative management of aortic disease, since guidelines traditionally depend on diameter criteria for stratification towards prophylactic surgical intervention [4, 5]. In the current review, we summarize evidence and considerations regarding predictive aortic imaging and highlight modern imaging techniques that have shown promise to improve risk assessment for the occurrence of dissection and rupture.
Best current practice—aortic diameters
Normal diameters
The aorta is the largest artery in the body and runs from the aortic valve until the abdominal bifurcation. From proximal to distal, it consists of the aortic root, ascending aorta, aortic arch, descending thoracic aorta, and abdominal aorta (Fig. 1). Cross-sectional diameters are influenced by gender, patient habitus, and hypertension, and increase in an indolent manner by approximately 0.1 mm/year [6]. Reference values for the different anatomic segments have been established by multiple imaging modalities, including echocardiography, CT, and MRI [7–9]. Imaging guidelines provide specific measurement recommendations for each of these techniques and emphasize that there exists no standardized method across modalities [10]. Therefore, diameters can vary slightly depending on trigger time (end-systolic vs. end-diastolic) and edge selection (leading edge-to-leading edge vs. inner edge-inner edge vs. outer edge-outer edge). In general, it is stressed that measurements should be performed perpendicular to the aortic centerline (i.e., on double oblique images), and that measurement location and methodology should be specified in order to provide for accurate follow-up in individuals with an indication for repetitive imaging [11–13].
Thoracic aortic aneurysm
An aneurysm is defined as a localized arterial dilatation of ≥ 2 standard deviations (SDs) above the expected vessel diameter [14]. The underlying pathophysiological mechanisms differ partially for aneurysms at various locations along the aorta. Whereas thoracic aortic aneurysm (TAA) results from excessive degeneration of the medial layer of the vessel wall (also known as cystic medial necrosis), the formation of abdominal aortic aneurysms (AAAs) is mainly associated with atherosclerosis [15]. However, the net result—extensive remodeling of the extracellular matrix of the vessel wall with loss of vascular smooth muscle cells (VSMCs) and elastin content—is similar for all aneurysms [15].
Progressive aortic dilatation is a well-acknowledged risk factor for the occurrence of both acute dissection and rupture. While these natural complications are rare in ascending aortic aneurysms of moderate size (yearly rupture or dissection risk of 0.08%, 0.22%, and 0.58% at diameters of 45, 50, and 55 mm, respectively), a sharp step-up in their occurrence—to 6.9% yearly—is observed when the diameter exceeds 60 mm (Fig. 2) [16–18]. In descending thoracic aneurysms, a similar “hinge point” is identified at 70 mm [18]. In order to avoid aneurysm expansion beyond these critical points, the general consensus is to refer patients for pre-emptive surgery at 55 mm (ascending aorta) or 55 to 60 mm (descending thoracic aorta, depending on the eligibility for an endovascular approach) [4, 5, 19]. More frequent surveillance imaging and lower surgical cut-offs apply to patients with connective tissue diseases (such as Marfan syndrome), who are at increased risk for negative outcomes [5]. In these patients, surgery is indicated at diameters ≥ 50 mm, or even ≥ 45 mm in the co-presence of additional risk factors (growth rate > 3 mm/year, familial history of dissection, or severe valvular regurgitation). Patients with bicuspid aortic valve (BAV) and concomitant risk factors are also considered for surgery at a lower than normal threshold (≥ 50 mm), although evidence for this approach is lacking [4, 5, 20]. Admittedly, BAV is overrepresented in large dissection cohorts, but the higher number of aortic events in this patient group cannot be seen independent from its increased TAA prevalence [17, 21]. At any given TAA diameter, the yearly aortic complication risk for bicuspid and tricuspid valves has shown to be comparable [22].
Aortic size paradox
Despite the evident link between TAA formation and unfavorable outcomes, the vast majority of dissections occur in aortas with diameters below the threshold for preventative surgery—the so-called aortic size paradox. Retrospective studies have shown that only 30–41% of patients with type A and 18% of patients with type B dissection had diameters ≥ 5.5 cm at the time of presentation [23–26]. Since the aorta dilates by about one-third of its size directly after dissection onset, the number of events that could have been prevented by current diameter cut-offs is probably even lower [27–29]. Nevertheless, it is questionable if lowering the thresholds for surgical intervention would bear a long-term mortality benefit. Given the large population at risk, it would more likely expose a considerable number of patients with smaller TAAs—and thus, minimal yearly risk of natural complications—to the 3.7–8.3% mortality risk associated with elective surgery [30]. In conclusion, it could be stated that the aortic diameter predicts rupture and dissection on a populational level, but is an insufficient parameter to identify individuals at risk. For this reason, recent research interests have shifted to the deciphering of additional risk factors for AAS, in an attempt to enhance personalized risk assessment and clinical decision-making.
Modern perspectives—moving beyond diameters
Aortic elongation and volume
One drawback of maximal diameter measurements is that they do not adequately represent the three-dimensional process of aortic growth. Aneurysm lengthening and cylindrical deformation are two scenarios of positive remodeling that are not necessarily accompanied by an increase of maximal diameters [31]. Since more advanced acquisition and post-processing techniques are required to assess the three-dimensional geometry of the aorta, data on its length and volume are relatively scarce. Similar to its diameters, normal aortic length has shown to increase with age [32, 33]. With the vessel being confined within the thoracic cavity, this lengthening process naturally causes the artery to become more tortuous [32]. Driven by observations that the intimal entry tear runs in the transverse direction in the majority of cases (i.e., results from disruptive stretch in the longitudinal direction), recent studies have investigated the role of excessive elongation in the pathophysiology of dissection [34, 35]. They found that increased vessel curvature significantly elevates the forces acting on the aortic wall and that vessel length serves as an independent risk factor for the occurrence of both type A and type B dissection (Fig. 3) [36–39].
To date, the added value of volume measurements in the management of thoracic aortic disease is not fully understood. Several AAA studies have suggested improved sensitivity for detection of aneurysm growth by reporting that substantial volume expansion can occur even while the maximal diameter remains stable [40–43]. This finding is important, since it implicates (rapid) growth in regions proximally or distally from the widest portion of the aneurysm sac. Volumetry has also shown improved intra- and inter-observer variability when compared with diameter measurements, which is another argument in favor of its use in clinical aneurysm follow-up [44]. Although no causal link with adverse outcomes has yet been established, the cited studies have demonstrated that aortic length and volume can be measured on routinely obtained CT using commercially available software packages. This widespread availability makes them feasible predictive parameters for use in a clinical setting, although longitudinal—and, preferably, prospective—studies are now required as the next step in their validation process.
Aortic hemodynamics
The role of hemodynamics in the pathogenesis of aortopathy has been subject of a long-standing debate. Especially in BAV patients, who exhibit enlarged aortic diameters even in the absence of valvular dysfunction, there has been controversy regarding the origin of aneurysm formation [45]. Two theories explain the accelerated aortic growth rates and high prevalence of TAA in this patient group: (i) a genetic theory, which rests on evidence that BAV is a congenital condition with considerable genetic heterogeneity and (ii) a hemodynamic theory, in which abnormal flow patterns and turbulence cause elevated wall stress and subsequent vessel remodeling [46]. Several genes (such as NOTCH1, ACTA2, and GATA5) have been associated with abnormal development of the aortic valve [46, 47]. Given that the aortic cusps and the medial layer of the ascending aorta are embryologically linked (i.e., both originate from the neural crest), it is conceivable that the genes responsible for BAV formation can also affect the development of the aortic vessel wall. Other arguments in support of the genetic theory include observations that BAV aortopathy is not uncommon in children and adolescents, and that progressive diameter increase can occur even after replacement of the aortic valve [48, 49]. Initially, the histologic presence of cystic medial necrosis was also presented as an argument for disease inheritability, as this was believed to resemble findings in those with Marfan syndrome [50]. However, later work has demonstrated that medial degeneration is a common feature of all TAAs and dissected aortas, regardless of their underlying etiology [15, 51].
Over the past few years, the hemodynamic theory has become increasingly popular, along with the evolvement of functional imaging modalities that afford a more comprehensive insight into aortic hemodynamics. In flow MRI, phase-contrast (PC) techniques are used to generate image contrast between moving protons (such as in blood) and stationary protons (most soft tissues). The underlying concept is based on the feature of protons to accumulate an MRI phase shift that is proportional to the speed at which they move along a magnetic gradient field. Phase-contrast MRI is traditionally performed using a manually positioned two-dimensional (2D) acquisition that encodes velocity in one principal direction. This approach generates time-resolved velocity maps, which can be used to quantify flow rates and velocities of blood moving through the imaging slice. As such, it enables evaluation of a broad spectrum of cardiovascular diseases, including assessment of shunt fractions and valvular regurgitant volumes. Over recent years, methodological advances have facilitated the acquisition of time-resolved, three-dimensional, three-directionally encoded velocity data. This technique, commonly known as 4D flow MRI, affords a uniquely detailed flow visualization within the heart and large vessels and allows post hoc flow quantification at any location within an acquired volume [52]. Furthermore, the obtained velocity data can be used for estimation of various flow-derived hemodynamic parameters, including wall shear stress (WSS) and normalized flow displacement. In BAV patients, 4D flow MRI has revealed markedly eccentric and helical flow with highest flow velocities and WSS located along the aortic vessel wall (Fig. 4) [53, 54]. For each BAV cusp fusion type, a typical WSS distribution pattern with elevated shear stress at the location of impingement between the flow jet and vessel wall was identified [55]. Subsequently, raphe-specific WSS patterns have shown to correspond with the phenotype of BAV aortopathy (i.e., left-right coronary cusp fusion leads to sole dilatation of the tubular ascending aorta, whereas a raphe between the right- and non-coronary cusps causes more diffuse dilatation with involvement of the aortic root, tubular ascending aorta, and aortic arch) [56, 57]. In a recent contribution, Guzzardi et al have also demonstrated a more direct association between WSS and histologic changes of the aortic vessel wall [58]. In their study, BAV patients who were scheduled for ascending aortic replacement underwent pre-operative WSS mapping. During surgery, paired tissue samples of aortic regions with normal and elevated WSS were collected to show that increased WSS was associated with dysregulation of the extracellular matrix and degeneration of elastin fibers (Fig. 5).
Flow displacement is another 4D flow MRI parameter that has shown potential to predict progression of aortic disease. It provides a quantitative measure of flow eccentricity by calculating the distance between the location of peak systolic flow and vessel center in a 2D imaging plane [59]. Like WSS, the degree and direction of flow displacement depend on the underlying aortic valve phenotype [56]. As yet, it is the only 4D flow MRI parameter that has been associated with aortic growth in a (small) longitudinal cohort study. In this study (mean follow-up duration, over 4 years), BAV patients with eccentric aortic flow exhibited faster diameter growth than those with laminar flow profiles (1.2 mm/year vs. 0.3 mm/year, respectively) [60]. Larger longitudinal studies that aim to acquire the clinical relevance of various 4D flow MRI parameters are currently ongoing.
Vessel wall inflammation
Immunohistochemical studies have reported extensive inflammatory activity within the aneurysmatic vessel wall [15]. Whereas the presence of lymphocytes and activated macrophages is rare in a healthy aorta, elevated numbers of CD3+ and CD68+ cells were found throughout the medial layer of TAAs [51]. Of note, infiltration of these cells has shown to be even more pronounced in the dissected aorta, raising the question whether the degree of inflammation can be used to discriminate between low- and high-risk patients [51]. Since leukocytes demand glucose for their accelerated metabolic processes, areas of increased inflammatory activity can be detected using positron emission tomography (PET). This imaging modality depends on measurements of radioactivity emitted after administration of a radioactive tracer, most commonly the glucose derivative 18-fluoro-2-deoxyglucose (FDG; > 95% of all PET examinations). FDG is transported into cells by glucose transporters and becomes phosphorylated to form FDG-6-phosphate. Unlike glucose-6-phosphate, FDG-6-phosphate is not further metabolized along the glycolytic pathway and becomes trapped within the cell in a concentration that is in proportion to that cells’ glucose consumption. In animal experiments, FDG avidity has shown to be positively correlated with macrophage content of the arterial vessel wall [61, 62]. A similar association has been observed in vivo in patients with abdominal aneurysms [63, 64]. Furthermore, the AAA study by Reeps et al reported FDG uptake to be associated with a decrease in collagen content and VSMCs—factors that determine the stability of the aortic wall. However, despite these promising results, studies that sought to investigate the use of FDG-PET for prediction of AAA expansion and rupture have reported conflicting results. Whereas two prospective studies have demonstrated elevated tracer uptake to be associated with disease progression, others could not establish such a relationship [65–70]. As yet, only one study has investigated the use of PET-CT in thoracic aortic disease. In a small sample of hemodynamically stable patients with various acute aortic conditions (e.g., type B dissection, penetrating ulcer, or IMH), this longitudinal study showed increased FDG uptake to be associated with the risk of disease progression (Fig. 6) [71]. Of the 11 included patients with increased FDG uptake, nine (82%) showed progression of wall pathology under conservative treatment requiring emergency medical intervention, and three of these nine patients died. In contrast, only 10 of the 22 (45%) PET-negative patients experienced disease progression (two deaths).
In conclusion, no clear relation between FDG-PET and clinical outcomes in thoracic and abdominal aneurysm patients has yet been demonstrated, although it should be noted that the inconsistency between studies partly relates to their small and heterogeneous study populations. Prospective studies with larger patient cohorts are warranted to assess the actual clinical value of FDG-PET. Also, future work could address the clinical value of novel radiotracers that have shown potential to target other processes within the inflammatory pathway of aneurysmal disease, such as expression of matrix metalloproteases (MMPSense 680), active vascular calcification (18F-NaF), and chemokine receptor 4 expression (68-Ga-pentixafor) [72–74]. The recent integration of PET and MRI into PET/MRI scanners has afforded the synchronized evaluation of anatomic, physiologic, and molecular imaging features, and could serve as a promising imaging platform in the future.
Conclusions
Excessive aortic dilatation (diameter ≥ 5.5 cm) poses a significant risk for the occurrence of acute aortic events, and patients with aneurysms beyond this size should be referred for prophylactic surgical intervention. However, the majority of acute aortic events occur in aortas with diameters below surgical thresholds. Therefore, these patients would not have qualified for preventative surgery, even when screened appropriately prior to event onset. Several modern imaging techniques (such as hybrid PET-CT and 4D flow MRI) have shown promise to detect vessel wall instability at an early stage. Studies that aim to demonstrate a causal link with the occurrence of acute aortic syndromes are currently ongoing and could lead to the integration of these techniques into clinical practice guidelines.
Abbreviations
- AAA
Abdominal aortic aneurysm
- AAS
Acute aortic syndrome
- BAV
Bicuspid aortic valve
- IMH
Intramural hematoma
- PC
Phase contrast
- SD
Standard deviation
- TAA
Thoracic aortic aneurysm
- VSMC
Vascular smooth muscle cell
- WSS
Wall shear stress
Funding
This study has received funding from Stichting de Weijerhorst, Maastricht, Limburg, the Netherlands.
Compliance with ethical standards
Guarantor
The scientific guarantor of this publication is prof. J.E. Wildberger.
Conflict of interest
The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.
Statistics and biometry
No complex statistical methods were necessary for this paper.
Informed consent
Written informed consent was not required for this review article.
Ethical approval
Institutional Review Board approval was not required because this is a review article.
Methodology
• review
Footnotes
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Nicholls F. Observations concerning the body of His Late Majesty. Philos Trans. 1761;52:265–275. doi: 10.1098/rstl.1761.0052. [DOI] [Google Scholar]
- 2.Howard Dominic P.J., Banerjee Amitava, Fairhead Jack F., Perkins Jeremy, Silver Louise E., Rothwell Peter M. Population-Based Study of Incidence and Outcome of Acute Aortic Dissection and Premorbid Risk Factor Control. Circulation. 2013;127(20):2031–2037. doi: 10.1161/CIRCULATIONAHA.112.000483. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Olsson C, Thelin S, Ståhle E, Ekbom A, Granath F. Thoracic aortic aneurysm and dissection: increasing prevalence and improved outcomes reported in a nationwide population-based study of more than 14 000 cases from 1987 to 2002. Circulation. 2006;114(24):2611–2618. doi: 10.1161/CIRCULATIONAHA.106.630400. [DOI] [PubMed] [Google Scholar]
- 4.Erbel R, Aboyans V, Boileau C et al (2014) 2014 ESC guidelines on the diagnosis and treatment of aortic diseases: Document covering acute and chronic aortic diseases of the thoracic and abdominal aorta of the adult. The Task Force for the Diagnosis and Treatment of Aortic Diseases of the European Society of Cardiology (ESC). Eur Heart J 35(41):2873–2926 [DOI] [PubMed]
- 5.Hiratzka LF, Bakris GL, Beckman JA, et al. 2010 ACCF/AHA/AATS/ACR/ASA/SCA/SCAI/SIR/STS/SVM Guidelines for the diagnosis and management of patients with thoracic aortic disease. A Report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines, American Association for Thoracic Surgery, American College of Radiology,American Stroke Association, Society of Cardiovascular Anesthesiologists, Society for Cardiovascular Angiography and Interventions, Society of Interventional Radiology, Society of Thoracic Surgeons,and Society for Vascular Medicine. J Am Coll Cardiol. 2010;55(14):e27–e129. doi: 10.1016/j.jacc.2010.02.015. [DOI] [PubMed] [Google Scholar]
- 6.Roman MJ, Devereux RB, Kramer-Fox R, O’Loughlin J. Two-dimensional echocardiographic aortic root dimensions in normal children and adults. Am J Cardiol. 1989;64(8):507–512. doi: 10.1016/0002-9149(89)90430-X. [DOI] [PubMed] [Google Scholar]
- 7.Burman ED, Keegan J, Kilner PJ. Aortic root measurement by cardiovascular magnetic resonance: specification of planes and lines of measurement and corresponding normal values. Circ Cardiovasc Imaging. 2008;1(2):104–113. doi: 10.1161/CIRCIMAGING.108.768911. [DOI] [PubMed] [Google Scholar]
- 8.Wolak A, Gransar H, Thomson LE, et al. Aortic size assessment by noncontrast cardiac computed tomography: normal limits by age, gender, and body surface area. JACC Cardiovasc Imaging. 2008;1(2):200–209. doi: 10.1016/j.jcmg.2007.11.005. [DOI] [PubMed] [Google Scholar]
- 9.Hager A, Kaemmerer H, Rapp-Bernhardt U, et al. Diameters of the thoracic aorta throughout life as measured with helical computed tomography. J Thorac Cardiovasc Surg. 2002;123(6):1060–1066. doi: 10.1067/mtc.2002.122310. [DOI] [PubMed] [Google Scholar]
- 10.Goldstein SA, Evangelista A, Abbara S, et al. Multimodality imaging of diseases of the thoracic aorta in adults: from the American Society of Echocardiography and the European Association of Cardiovascular Imaging: endorsed by the Society of Cardiovascular Computed Tomography and Society for Cardiovascular Magnetic Resonance. J Am Soc Echocardiogr. 2015;28(2):119–182. doi: 10.1016/j.echo.2014.11.015. [DOI] [PubMed] [Google Scholar]
- 11.Bireley WR 2nd, Diniz LO, Groves EM, Dill K, Carroll TJ, Carr JC. Orthogonal measurement of thoracic aorta luminal diameter using ECG-gated high-resolution contrast-enhanced MR angiography. J Magn Reson Imaging. 2007;26(6):1480–1485. doi: 10.1002/jmri.21085. [DOI] [PubMed] [Google Scholar]
- 12.Mendoza DD, Kochar M, Devereux RB, et al. Impact of image analysis methodology on diagnostic and surgical classification of patients with thoracic aortic aneurysms. Ann Thorac Surg. 2011;92(3):904–912. doi: 10.1016/j.athoracsur.2011.03.130. [DOI] [PubMed] [Google Scholar]
- 13.Rudarakanchana N, Bicknell C, Cheshire N, et al. Variation in maximum diameter measurements of descending thoracic aortic aneurysms using unformatted planes versus images corrected to aortic centerline. Eur J Vasc Endovasc Surg. 2014;47(1):19–26. doi: 10.1016/j.ejvs.2013.09.026. [DOI] [PubMed] [Google Scholar]
- 14.Goldfinger JZ, Halperin JL, Marin ML, Stewart AS, Eagle KA, Fuster V. Thoracic aortic aneurysm and dissection. J Am Coll Cardiol. 2014;64(16):1725–1739. doi: 10.1016/j.jacc.2014.08.025. [DOI] [PubMed] [Google Scholar]
- 15.Guo DC, Papke CL, He R, Milewicz DM. Pathogenesis of thoracic and abdominal aortic aneurysms. Ann N Y Acad Sci. 2006;1085(1):339–352. doi: 10.1196/annals.1383.013. [DOI] [PubMed] [Google Scholar]
- 16.Davies RR, Goldstein LJ, Coady MA, et al. Yearly rupture or dissection rates for thoracic aortic aneurysms: simple prediction based on size. Ann Thorac Surg. 2002;73(1):17–28. doi: 10.1016/S0003-4975(01)03236-2. [DOI] [PubMed] [Google Scholar]
- 17.Kim JB, Spotnitz M, Lindsay ME, MacGillivray TE, Isselbacher EM, Sundt TM 3rd. Risk of aortic dissection in the moderately dilated ascending aorta. J Am Coll Cardiol. 2016;68(11):1209–1219. doi: 10.1016/j.jacc.2016.06.025. [DOI] [PubMed] [Google Scholar]
- 18.Elefteriades JA, Farkas EA. Thoracic aortic aneurysm: clinically pertinent controversies and uncertainties. J Am Coll Cardiol. 2010;55(9):841–857. doi: 10.1016/j.jacc.2009.08.084. [DOI] [PubMed] [Google Scholar]
- 19.Riambau V, Böckler D, Brunkwall J, et al. Management of descending thoracic aorta diseases: clinical practice guidelines of the European Society for Vascular Surgery (ESVS) Eur J Vasc Endovasc Surg. 2017;53(1):4–52. doi: 10.1016/j.ejvs.2016.06.005. [DOI] [PubMed] [Google Scholar]
- 20.Nishimura RA, Otto CM, Bonow RO, et al. 2014 AHA/ACC guideline for the management of patients with valvular heart disease: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol. 2014;63(22):e57–e185. doi: 10.1016/j.jacc.2014.02.536. [DOI] [PubMed] [Google Scholar]
- 21.Michelena HI, Khanna AD, Mahoney D, et al. Incidence of aortic complications in patients with bicuspid aortic valves. JAMA. 2011;306(10):1104–1112. doi: 10.1001/jama.2011.1286. [DOI] [PubMed] [Google Scholar]
- 22.Davies RR, Kaple RK, Mandapati D, et al. Natural history of ascending aortic aneurysms in the setting of an unreplaced bicuspid aortic valve. Ann Thorac Surg. 2007;83(4):1338–1344. doi: 10.1016/j.athoracsur.2006.10.074. [DOI] [PubMed] [Google Scholar]
- 23.Parish LM, Gorman JH 3rd, Kahn S, et al. Aortic size in acute type A dissection: implications for preventive ascending aortic replacement. Eur J Cardiothorac Surg. 2009;35(6):941–946. doi: 10.1016/j.ejcts.2008.12.047. [DOI] [PubMed] [Google Scholar]
- 24.Kim EK, Choi SH, Sung K, et al. Aortic diameter predicts acute type A aortic dissection in patients with Marfan syndrome but not in patients without Marfan syndrome. J Thorac Cardiovasc Surg. 2014;147(5):1505–1510. doi: 10.1016/j.jtcvs.2013.05.025. [DOI] [PubMed] [Google Scholar]
- 25.Pape LA, Tsai TT, Isselbacher EM, et al. Aortic diameter ≥ 5.5 cm is not a good predictor of type A aortic dissection observations from the International Registry of Acute Aortic Dissection (IRAD) Circulation. 2007;116(10):1120–1127. doi: 10.1161/CIRCULATIONAHA.107.702720. [DOI] [PubMed] [Google Scholar]
- 26.Trimarchi S, Jonker FH, Hutchison S, et al. Descending aortic diameter of 5.5 cm or greater is not an accurate predictor of acute type B aortic dissection. J Thorac Cardiovasc Surg. 2011;142(3):e101–e107. doi: 10.1016/j.jtcvs.2010.12.032. [DOI] [PubMed] [Google Scholar]
- 27.Rylski B, Blanke P, Beyersdorf F, et al. How does the ascending aorta geometry change when it dissects? J Am Coll Cardiol. 2014;63(13):1311–1319. doi: 10.1016/j.jacc.2013.12.028. [DOI] [PubMed] [Google Scholar]
- 28.Rylski B, Branchetti E, Bavaria JE, et al. Modeling of predissection aortic size in acute type A dissection: more than 90% fail to meet the guidelines for elective ascending replacement. J Thorac Cardiovasc Surg. 2014;148(3):944–948. doi: 10.1016/j.jtcvs.2014.05.050. [DOI] [PubMed] [Google Scholar]
- 29.Mansour AM, Peterss S, Zafar MA, et al. Prevention of aortic dissection suggests a diameter shift to a lower aortic size threshold for intervention. Cardiology. 2018;139(3):139–146. doi: 10.1159/000481930. [DOI] [PubMed] [Google Scholar]
- 30.Gazoni LM, Speir AM, Kron IL, Fonner E, Crosby IK. Elective thoracic aortic aneurysm surgery: better outcomes from high-volume centers. J Am Coll Surg. 2010;210(5):855–859. doi: 10.1016/j.jamcollsurg.2010.01.013. [DOI] [PubMed] [Google Scholar]
- 31.Martufi G, Auer M, Roy J, et al. Multidimensional growth measurements of abdominal aortic aneurysms. J Vasc Surg. 2013;58(3):748–755. doi: 10.1016/j.jvs.2012.11.070. [DOI] [PubMed] [Google Scholar]
- 32.Adriaans BP, Heuts S, Gerretsen S, et al. Aortic elongation part I: the normal aortic ageing process. Heart. 2018;104(21):1772–1777. doi: 10.1136/heartjnl-2017-312866. [DOI] [PubMed] [Google Scholar]
- 33.Sugawara J, Hayashi K, Yokoi T, Tanaka H. Age-associated elongation of the ascending aorta in adults. JACC Cardiovasc Imaging. 2008;1(6):739–748. doi: 10.1016/j.jcmg.2008.06.010. [DOI] [PubMed] [Google Scholar]
- 34.O’Rourke M, Farnsworth A, O’Rourke J. Aortic dimensions and stiffness in normal adults. J Am Coll Cardiol Img. 2008;1(6):749–751. doi: 10.1016/j.jcmg.2008.08.002. [DOI] [PubMed] [Google Scholar]
- 35.HIRST ALBERT E., JOHNS VARNER J., KIME S. WESLEY. DISSECTING ANEURYSM OF THE AORTA. Medicine. 1958;37(3):217. doi: 10.1097/00005792-195809000-00003. [DOI] [PubMed] [Google Scholar]
- 36.Poullis MP, Warwick R, Oo A, Poole RJ. Ascending aortic curvature as an independent risk factor for type A dissection, and ascending aortic aneurysm formation: a mathematical model. Eur J Cardiothorac Surg. 2008;33(6):995–1001. doi: 10.1016/j.ejcts.2008.02.029. [DOI] [PubMed] [Google Scholar]
- 37.Heuts S, Adriaans BP, Gerretsen S, et al. Aortic elongation part II: the risk of acute type A aortic dissection. Heart. 2018;104(21):1778–1782. doi: 10.1136/heartjnl-2017-312867. [DOI] [PubMed] [Google Scholar]
- 38.Krüger T, Oikonomou A, Schibilsky D, et al. Aortic elongation and the risk for dissection: the Tübingen Aortic Pathoanatomy (TAIPAN) Project. Eur J Cardiothorac Surg. 2017;51(6):1119–1126. doi: 10.1093/ejcts/ezx005. [DOI] [PubMed] [Google Scholar]
- 39.Lescan M, Veseli K, Oikonomou A, et al. Aortic elongation and Stanford B dissection: the Tübingen Aortic Pathoanatomy (TAIPAN) Project. Eur J Vasc Endovasc Surg. 2017;54(2):164–169. doi: 10.1016/j.ejvs.2017.05.017. [DOI] [PubMed] [Google Scholar]
- 40.Renapurkar RD, Setser RM, O’Donnell TP, et al. Aortic volume as an indicator of disease progression in patients with untreated infrarenal abdominal aneurysm. Eur J Radiol. 2012;81(2):e87–e93. doi: 10.1016/j.ejrad.2011.01.077. [DOI] [PubMed] [Google Scholar]
- 41.Kauffmann C, Tang A, Therasse É, et al. Measurements and detection of abdominal aortic aneurysm growth: accuracy and reproducibility of a segmentation software. Eur J Radiol. 2012;81(8):1688–1694. doi: 10.1016/j.ejrad.2011.04.044. [DOI] [PubMed] [Google Scholar]
- 42.Lindquist Liljeqvist Moritz, Hultgren Rebecka, Gasser T. Christian, Roy Joy. Volume growth of abdominal aortic aneurysms correlates with baseline volume and increasing finite element analysis-derived rupture risk. Journal of Vascular Surgery. 2016;63(6):1434-1442.e3. doi: 10.1016/j.jvs.2015.11.051. [DOI] [PubMed] [Google Scholar]
- 43.den Hartog AW, Franken R, de Witte P, et al. Aortic disease in patients with Marfan syndrome: aortic volume assessment for surveillance. Radiology. 2013;269(2):370–377. doi: 10.1148/radiol.13122310. [DOI] [PubMed] [Google Scholar]
- 44.Trinh B, Dubin I, Rahman O, et al. Aortic volumetry at contrast-enhanced MR angiography: feasibility as a sensitive method for monitoring bicuspid aortic valve aortopathy. Invest Radiol. 2017;52(4):216. doi: 10.1097/RLI.0000000000000332. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Della Corte A, Bancone C, Quarto C, et al. Predictors of ascending aortic dilatation with bicuspid aortic valve: a wide spectrum of disease expression. Eur J Cardiothorac Surg. 2007;31(3):397–405. doi: 10.1016/j.ejcts.2006.12.006. [DOI] [PubMed] [Google Scholar]
- 46.Siu SC, Silversides CK. Bicuspid aortic valve disease. J Am Coll Cardiol. 2010;55(25):2789–2800. doi: 10.1016/j.jacc.2009.12.068. [DOI] [PubMed] [Google Scholar]
- 47.Garg V, Muth AN, Ransom JF, et al. Mutations in NOTCH1 cause aortic valve disease. Nature. 2005;437(7056):270. doi: 10.1038/nature03940. [DOI] [PubMed] [Google Scholar]
- 48.Gurvitz M, Chang RK, Drant S, Allada V. Frequency of aortic root dilation in children with a bicuspid aortic valve. Am J Cardiol. 2004;94(10):1337–1340. doi: 10.1016/j.amjcard.2004.07.130. [DOI] [PubMed] [Google Scholar]
- 49.Yasuda H, Nakatani S, Stugaard M, et al. Failure to prevent progressive dilation of ascending aorta by aortic valve replacement in patients with bicuspid aortic valve: comparison with tricuspid aortic valve. Circulation. 2003;108(10 suppl 1):II–291-II-4. doi: 10.1161/01.cir.0000087449.03964.fb. [DOI] [PubMed] [Google Scholar]
- 50.Nataatmadja M, West M, West J, et al. Abnormal extracellular matrix protein transport associated with increased apoptosis of vascular smooth muscle cells in Marfan syndrome and bicuspid aortic valve thoracic aortic aneurysm. Circulation. 2003;108(10 suppl 1):II–329-II-34. doi: 10.1161/01.cir.0000087660.82721.15. [DOI] [PubMed] [Google Scholar]
- 51.He R, Guo DC, Estrera AL, et al. Characterization of the inflammatory and apoptotic cells in the aortas of patients with ascending thoracic aortic aneurysms and dissections. J Thorac Cardiovasc Surg. 2006;131(3):671–678. doi: 10.1016/j.jtcvs.2005.09.018. [DOI] [PubMed] [Google Scholar]
- 52.Markl M, Frydrychowicz A, Kozerke S, Hope M, Wieben O. 4D flow MRI. J Magn Reson Imaging. 2012;36(5):1015–1036. doi: 10.1002/jmri.23632. [DOI] [PubMed] [Google Scholar]
- 53.Barker AJ, Markl M, Bürk J, et al. Bicuspid aortic valve is associated with altered wall shear stress in the ascending aorta. Circ Cardiovasc Imaging. 2012;5(4):457–466. doi: 10.1161/CIRCIMAGING.112.973370. [DOI] [PubMed] [Google Scholar]
- 54.Hope MD, Hope TA, Crook SE, et al. 4D flow CMR in assessment of valve-related ascending aortic disease. JACC Cardiovasc Imaging. 2011;4(7):781–787. doi: 10.1016/j.jcmg.2011.05.004. [DOI] [PubMed] [Google Scholar]
- 55.Bissell MM, Hess AT, Biasiolli L, et al. Aortic dilation in bicuspid aortic valve disease: flow pattern is a major contributor and differs with valve fusion type. Circ Cardiovasc Imaging. 2013;6(4):499–507. doi: 10.1161/CIRCIMAGING.113.000528. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Mahadevia R, Barker AJ, Schnell S, et al. Bicuspid aortic cusp fusion morphology alters aortic three-dimensional outflow patterns, wall shear stress, and expression of aortopathy. Circulation. 2014;129(6):673–682. doi: 10.1161/CIRCULATIONAHA.113.003026. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Kang JW, Song HG, Yang DH, et al. Association between bicuspid aortic valve phenotype and patterns of valvular dysfunction and bicuspid aortopathy: comprehensive evaluation using MDCT and echocardiography. JACC Cardiovasc Imaging. 2013;6(2):150–161. doi: 10.1016/j.jcmg.2012.11.007. [DOI] [PubMed] [Google Scholar]
- 58.Guzzardi DG, Barker AJ, Van Ooij P, et al. Valve-related hemodynamics mediate human bicuspid aortopathy: insights from wall shear stress mapping. J Am Coll Cardiol. 2015;66(8):892–900. doi: 10.1016/j.jacc.2015.06.1310. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Sigovan M, Hope MD, Dyverfeldt P, Saloner D. Comparison of four-dimensional flow parameters for quantification of flow eccentricity in the ascending aorta. J Magn Reson Imaging. 2011;34(5):1226–1230. doi: 10.1002/jmri.22800. [DOI] [PubMed] [Google Scholar]
- 60.Hope MD, Sigovan M, Wrenn SJ, Saloner D, Dyverfeldt P. MRI hemodynamic markers of progressive bicuspid aortic valve-related aortic disease. J Magn Reson Imaging. 2014;40(1):140–145. doi: 10.1002/jmri.24362. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Tawakol A, Migrino RQ, Hoffmann U, et al. Noninvasive in vivo measurement of vascular inflammation with F-18 fluorodeoxyglucose positron emission tomography. J Nucl Cardiol. 2005;12(3):294–301. doi: 10.1016/j.nuclcard.2005.03.002. [DOI] [PubMed] [Google Scholar]
- 62.Hyafil F, Cornily J-C, Rudd JH, Machac J, Feldman LJ, Fayad ZA. Quantification of inflammation within rabbit atherosclerotic plaques using the macrophage-specific CT contrast agent N1177: a comparison with 18F-FDG PET/CT and histology. J Nucl Med. 2009;50(6):947–953. doi: 10.2967/jnumed.108.060749. [DOI] [PubMed] [Google Scholar]
- 63.Reeps C, Essler M, Pelisek J, Seidl S, Eckstein HH, Krause BJ. Increased 18F-fluorodeoxyglucose uptake in abdominal aortic aneurysms in positron emission/computed tomography is associated with inflammation, aortic wall instability, and acute symptoms. J Vasc Surg. 2008;48(2):417–423. doi: 10.1016/j.jvs.2008.03.059. [DOI] [PubMed] [Google Scholar]
- 64.Courtois A, Nusgens BV, Hustinx R, et al. 18F-FDG uptake assessed by PET/CT in abdominal aortic aneurysms is associated with cellular and molecular alterations prefacing wall deterioration and rupture. J Nucl Med. 2013;54(10):1740–1747. doi: 10.2967/jnumed.112.115873. [DOI] [PubMed] [Google Scholar]
- 65.Nchimi A, Cheramy-Bien JP, Gasser TC, et al. Multifactorial relationship between 18F-fluoro-deoxy-glucose positron emission tomography signaling and biomechanical properties in unruptured aortic aneurysms. Circ Cardiovasc Imaging. 2014;7(1):82–91. doi: 10.1161/CIRCIMAGING.112.000415. [DOI] [PubMed] [Google Scholar]
- 66.Sakalihasan N, Van Damme H, Gomez P, et al. Positron emission tomography (PET) evaluation of abdominal aortic aneurysm (AAA) Eur J Vasc Endovasc Surg. 2002;23(5):431–436. doi: 10.1053/ejvs.2002.1646. [DOI] [PubMed] [Google Scholar]
- 67.Kotze CW, Groves AM, Menezes LJ, et al. What is the relationship between (1)(8)F-FDG aortic aneurysm uptake on PET/CT and future growth rate? Eur J Nucl Med Mol Imaging. 2011;38(8):1493–1499. doi: 10.1007/s00259-011-1799-8. [DOI] [PubMed] [Google Scholar]
- 68.Barwick TD, Lyons OT, Mikhaeel NG, Waltham M, O’Doherty MJ. 18F-FDG PET-CT uptake is a feature of both normal diameter and aneurysmal aortic wall and is not related to aneurysm size. Eur J Nucl Med Mol Imaging. 2014;41(12):2310–2318. doi: 10.1007/s00259-014-2865-9. [DOI] [PubMed] [Google Scholar]
- 69.Morel O, Mandry D, Micard E, et al. Evidence of cyclic changes in the metabolism of abdominal aortic aneurysms during growth phases: (1)(8)F-FDG PET sequential observational study. J Nucl Med. 2015;56(7):1030–1035. doi: 10.2967/jnumed.114.146415. [DOI] [PubMed] [Google Scholar]
- 70.Jalalzadeh H, Indrakusuma R, Planken RN, Legemate DA, Koelemay MJ, Balm R. Inflammation as a predictor of abdominal aortic aneurysm growth and rupture: a systematic review of imaging biomarkers. Eur J Vasc Endovasc Surg. 2016;52(3):333–342. doi: 10.1016/j.ejvs.2016.05.002. [DOI] [PubMed] [Google Scholar]
- 71.Kuehl H, Eggebrecht H, Boes T, et al. Detection of inflammation in patients with acute aortic syndrome: comparison of FDG-PET/CT imaging and serological markers of inflammation. Heart. 2008;94(11):1472–1477. doi: 10.1136/hrt.2007.127282. [DOI] [PubMed] [Google Scholar]
- 72.Forsythe RO, Dweck MR, McBride OMB, et al. (18)F-Sodium fluoride uptake in abdominal aortic aneurysms: the SoFIA(3) Study. J Am Coll Cardiol. 2018;71(5):513–523. doi: 10.1016/j.jacc.2017.11.053. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Michineau S, Franck G, Wagner-Ballon O, Dai J, Allaire E, Gervais M. Chemokine (C-X-C motif) receptor 4 blockade by AMD3100 inhibits experimental abdominal aortic aneurysm expansion through anti-inflammatory effects. Arterioscler Thromb Vasc Biol. 2014;34(8):1747–1755. doi: 10.1161/ATVBAHA.114.303913. [DOI] [PubMed] [Google Scholar]
- 74.Kaijzel EL, van Heijningen PM, Wielopolski PA, et al. Multimodality imaging reveals a gradual increase in matrix metalloproteinase activity at aneurysmal lesions in live fibulin-4 mice. Circ Cardiovasc Imaging. 2010;3(5):567–577. doi: 10.1161/CIRCIMAGING.109.933093. [DOI] [PubMed] [Google Scholar]