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Background:
Review

Imaging Predictive Factors of Abdominal Aortic Aneurysm Growth

1
Vascular Surgery Department, Larissa University Hospital, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41110 Larissa, Greece
2
Neurosurgery Department, Larissa University Hospital, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41110 Larissa, Greece
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2021, 10(9), 1917; https://doi.org/10.3390/jcm10091917
Submission received: 31 March 2021 / Revised: 22 April 2021 / Accepted: 23 April 2021 / Published: 28 April 2021

Abstract

:
Background: Variable imaging methods may add important information about abdominal aortic aneurysm (AAA) progression. The aim of this study is to assess available literature data regarding the predictive imaging factors of AAA growth. Methods: This systematic review was conducted using the PRISMA guidelines. A review of the literature was conducted, using PubMed, EMBASE and CENTRAL databases. The quality of the studies was assessed using the Newcastle-Ottawa Scale. Primary outcomes were defined as AAA growth rate and factors associated to sac expansion. Results: The analysis included 23 studies. All patients (2244; mean age; 69.8 years, males; 85%) underwent imaging with different modalities; the initial evaluation was followed by one or more studies to assess aortic expansion. AAA initial diameter was reported in 13 studies (range 19.9–50.9 mm). Mean follow-up was 34.5 months. AAA diameter at the end was ranging between 20.3 and 55 mm. The initial diameter and intraluminal thrombus were characterized as prognostic factors associated to aneurysm expansion. A negative association between atherosclerosis and AAA expansion was documented. Conclusions: Aneurysm diameter is the most studied factor to be associated with expansion and the main indication for intervention. Appropriate diagnostic modalities may account for different anatomical characteristics and identify aneurysms with rapid growth and higher rupture risk. Future perspectives, including computed mathematical models that will assess wall stress and elasticity and further flow characteristics, may offer valuable alternatives in AAA growth prediction.

1. Introduction

Abdominal aortic aneurysm (AAA) is a progressive disease, associated with an increase of the sac diameter during time [1,2]. Currently, AAA diameter remains the most applied and significant marker of growth [2]. Smaller aneurysms (<50 mm) present a slower rate of growth (estimated at 1.3 mm/year), while larger aneurysms increase up to 3-fold more [1]. Individualized factors, such as smoking or diabetes, have been proved to alternate AAA evolution positively or negatively, while sex does not seem to affect AAA growth rate [3].
Many clinical trials have focused on different medical factors, which could affect the limitation of growth of small AAA by targeting some of the pathways that seem to be associated with AAA formation and growth [4,5,6,7,8,9,10]. Pharmaceutical factors as angiotensin-converting enzyme inhibitors, beta-blockers, statins, metformin and antibiotics that could affect or reverse AAA expansion, are under evaluation [4,11]. Despite the undergoing research, current recommendations suggest AAA surgical or endovascular repair when its diameter exceeds 55 mm [1,12]. Thus, standardized reproducible imaging methods and newer imaging assessments are mandatory and may add important information about AAA progression and further, management.
The aim of this study is to assess available literature data regarding the predictive imaging factors of AAA growth.

2. Methods

2.1. Eligibility Criteria

For the methodology of this systematic review, analysis and inclusion criteria for study enrollment were pre-specified. The current systematic review was based on the Preferred Reporting Items for Systematic Reviews and Meta-Analysis statement (PRISMA) [13]. Two independent reviewers (P.N., K.S.) proceeded with data extraction using a non-blinded standardized method. Discrepancies were resolved by a third reviewer (G.K.). As the current analysis is a systematic review, no informed consent was required. Only articles in English were included. The main criterion was that all the included studies reporting on imaging findings, irrespectively of the method, associated with AAA growth in patients without previous open or endovascular repair.

2.2. Search Strategy

A search of the medical literature was conducted, using PubMed, EMBASE and CENTRAL databases, until September 30, 2020. The P.I.C.O. (patient/population; intervention; comparison; outcomes) model was applied to precisely implement the clinical questions and article selection, as presented in Table 1 [14]. Expanded Medical Subject Headings (MeSH) were used in multiple combinations: “imaging”, “abdominal aortic aneurysm”, “prediction” and “growth”. The primary selection was made according to the title and abstract while a secondary process was accomplished according to full texts.

2.3. Data extraction and Quality Assessment

A standardized Microsoft Excel file was conducted for data extraction. Extracted data included name of author, journal, date of publication, type of study (prospective or retrospective) and study period. Additionally, baseline demographics (age, sex), type of imaging modality (computed tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET), ultrasonography (US)), initial AAA diameter, AAA diameter at follow-up, growth rate and other anatomical features, such as discontinuity of the wall, peak wall stress, wall thickness, AAA area and volume, type of thrombus and calcification, were collected.
The quality of observational studies was assessed using the Newcastle-Ottawa Scale (NOS) for cohort studies (Supplementary Table S1). This tool evaluates three main methodological domains of cohort studies—a. selection methods (representativeness of the exposed cohort, selection of the non-exposed cohort, ascertainment of exposure and demonstration that outcome of interest was not present at the start of the study); b. comparability of cohorts on the basis of the design or analysis; and c. assessment of outcomes (ascertainment of outcome, adequacy of follow-up). The scale uses a star system with a maximum of nine stars. Studies achieving at least six stars were considered to be of higher quality [15].

2.4. Outcomes

Primary outcomes were defined as the abdominal aneurysm growth rate in patients that had no previous repair and factors associated with aneurysm sac expansion.

2.5. Statistical Analysis

Only descriptive data are presented in the current review.

3. Results

Initially, 621 articles potentially suitable for inclusion were collected. After title and abstract exclusion due to no relevance to the topic, 33 full texts were assessed for eligibility. Twenty-three articles (published between 1994–2020) with 2244 patients were finally included, as depicted in Figure 1. Only observational cohort studies were included (10 prospective and 13 retrospective) with study cohorts ranging between 5 and 414 patients [16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38]. All patients suffered from AAA (mean age; 69.8 years (range 59.0–78.4 years), males; 1.545/1.815, 85%) and underwent imaging with different modalities. The initial evaluation was followed by one or more studies to assess AAA expansion. Different modalities were applied including CTA, MRI, PET and US or a combination of them. Furthermore, computational finite elements were used in seven studies to assess hemodynamic characteristics that would address aneurysm expansion (Table 2). CTA was the most applied method used to estimate sac diameter [16,18,19,23,24,25,26,29,30,36,37], while different combinations of CTA and other modalities have been used; angiography [17], PET-CT and MRI [27,38]. The CTA was used as the baseline imaging in modern mathematical models to estimate sac expansion [23,27,28,35]. US was used in combination with CTA or MRI or as the only approach in patients included in screening programs [20,22,31,32,35].
Abdominal aortic initial diameter was reported in 13 studies and ranged between 19.9 and 50.9 mm. Only one study included aortas of less than 3 cm of diameter and studied aortic expansion rate through years [35]. Mean follow-up was estimated at 34.5 months (range 6–120 months). Aneurysm diameter at the end of surveillance was reported in seven studies and ranged between 20.3 and 55 mm. The annual growth rate was recorded in 12 studies. All data regarding diameters and growth rates are presented in Table 3. In three studies, aneurysm expansion was assessed providing volumetric data. Nakayama et al., Woloszko et al., and Tzirakis et al. provided data regarding aneurysm volume growth [30,31,36]. The estimated mean volume expansion was 8.14 cm3, 17 cm3 and 18.5 cm3, respectively [30,31,36]. Furthermore, Tzirakis et al.’s analysis reported a 6% annual aneurysm area expansion rate [36]. In two studies, the impact of infra-renal calcification (threshold at 50% of aneurysm circumferential) was studied, while two additional studies sub-analyzed that impact of thrombus on aneurysm expansion [26,30,32,38]. Furthermore, two studies evaluated the impact of ultrasmall superparamagnetic iron oxide (USPIO) and Sodium 18F-fluoride (18F-Na-F) enhancement on AAA evolution [29,33]. All data are provided in Table 3.
In 11 out of 23 studies, the initial diameter was characterized as a prognostic factor associated with aneurysm expansion. Only one study did not prove an association between the initial diameter and aneurysm growth rate [23]. The aforementioned study used finite element analysis. In an average follow-up time of 22 ± 13.6 months, initial aortic diameter was not found to be correlated with sac expansion (p = 0.19) while an association between peak wall stress and aneurysm expansion was recorded [23]. Regarding the presence of intra-luminal thrombus (ILT) and its impact on AAA expansion, 8 studies estimated its role; 7 studies concluded that presence of ILT affected positively aneurysm growth [16,25,27,31,32,36,38]. ILT distribution was evaluated by Behr et al. and concluded that the presence of circumferential ILT was associated to higher growth rate (2.09 mm/y) while in large aneurysms, ILT heterogeneity was detected [32]. In addition, George et al. associated the presence of inhomogeneous ILT to greater aneurysm growth [25]. In 3 studies, AAA wall calcification was evaluated in terms of growth rate; in 2 studies a negative association between atherosclerosis and aneurysm expansion was documented. In 3 studies, using finite elements, aneurysm volume was assessed and proved in one study, AAA volume better predicts aneurysm growth rate and correlates stronger with increasing estimated biomechanical rupture risk compared to diameter. Other factors, such as peak wall stress, AAA area and USPIO and 18F-Na-F, were assessed and evaluated regarding aneurysm expansion [29,33,34,37]. The commonest predictive factors are presented in Table 4.

4. Discussion

Current recommendations from Vascular Societies suggest AAA repair when the maximal aneurysm diameter achieves the 55 mm threshold [1,2,39]. For smaller diameter AAA, the European Society of Vascular Surgery suggests surveillance using US [1]. In the current endovascular era, the low mortality and rupture rates might permit the application of EVAR in smaller diameters, especially when considering the economic benefit of an elective procedure and the decreased psychological stress of a patient that needs to be re-evaluated yearly for an aneurysm that approaches diameter threshold [40,41,42,43]. Despite that rupture rates of small AAA appear to be low, aneurysm repair on smaller diameter seems technically feasible and safe with lower morbidity and mortality rates while the anatomical characteristics, as landing zones of small aneurysm are more “operator” friendly [43,44,45]. However, currently available data in the literature do not warrant firm conclusions regarding this state; no clear ascertainment and diagnostic criteria for small aneurysm rupture rate are provided [44]. The arising issue is to clarify the predictors of aggressive aneurysm growth in order not only to treat these patients before rupture but also to alternate the surveillance protocols in this specific group of AAA. For the moment, AAA diameter remains the gold standard as risk factor for rupture and indicator of repair [46].
CTA remains the gold standard of imaging in the pre-operative setting while US has established its role as the preferred imaging modality in screening, pre and post-operative surveillance [1]. Experimental studies using the application of modern imaging modalities as PET-CT and USPIO MRI suggest novel assessment methods in AAA evaluation where the increased nanoparticles enhancement associates to a more aggressive aneurysmal disease [27,33,34,46,47]. MRI may be used more frequently in the future due to its high sensitivity and specificity in tissue characteristics, no radiation and less medium contrast use. Additionally, the use of experimental computed modalities offers new diagnostic criteria in AAA risk assessment. Fluid structure interaction simulations using reconstructed CTAs have concluded that peak wall stress is associated with aneurysm expansion and can offer important information regarding the location of expansion or even, rupture [28,29,48]. Wall thickness and intraluminal thrombus presence were studied in the included analysis concluding in conflicting results [23,36]. Additional computed analyses regarding the aneurysm neck and iliac arteries alterations during AAA evolution have been providing scarce data [49,50].
Different parameters have been studied through years using the available imaging modalities. Despite that aneurysm diameter remains the most studied factor which associates to aneurysm progression and sets the indication for treatment [31,32,34,35,36,37,38,51,52], other visible AAA characteristics as ILT, calcification, and vascular anatomy have been studied and could be applied into daily clinical practice [46]. As the available data are limited, conclusions for the moment are controversial regarding the impact of ILT and atherosclerosis on AAA growth [20,25,26,27,30,31,48]. In general, atheromatosis of the aortic wall seems to offer a protective role in aneurysm expansion [20,30] while thrombus is associated to higher expansion rates in the majority of studies [25,27,30,31]. Nowadays, except imaging modalities, different biochemical factors, pharmaceutic and pathophysiologic pathways, as well as their effect on aneurysm expansion and risk of rupture are assessed and analyzed [53,54]. The association of biochemical markers and imaging features have been already performed in the current literature, offering promising results [21]. However, no association between imaging findings and blood circulating markers has been detected in the available studies [21]. Further analyses and novel approaches are needed to assess the role of the available imaging and biochemical entities on aneurysm progression [55,56,57].
In the future, technological evolution may assist the identification of individualized growth and rupture risk factors in AAA patients and may help discreet patients that may benefit from a sooner intervention. The clinical impact, regarding the risk of rupture and symptoms evolution, of these imaging markers has been presented in the current literature [16,17]. PET-CT has been used to provide such a relationship between the imaging findings and clinical evolution; AAAs that enhance a higher rate of nanoparticles are associated with a 3-fold higher risk of repair or ruptured, as well as a reduced chronological interval, from diagnosis to event [33]. Similar data are provided regarding the use of USPIO MRI as a higher enhancement rate was related to an elevated risk of rupture, repair or death [34]. The clinical impact of these imaging investigations is of high interest and permit the application of modern imaging techniques in a high risk population. The ideal approach may include the standard modalities to detect a group of patients at risk of rapid sac expansion and, further, the application of more sophisticated techniques on them to detect a more specific cohort that would benefit from an early repair.

Limitations

Most of the included studies were retrospective, while no RCT was documented in the currently available literature. A high heterogeneity was detected in terms of study cohorts, initial aortic diameter and factors estimated and analyzed in its study. Furthermore, different imaging modalities, including US, CT, MRI, PET-CT and sophisticated computational models, were used to assess AAA characteristics.

5. Conclusions

AAA is a progressive disease with main treatment target of rupture prevention. Currently, aneurysm diameter is the most studied factor to be associated with aneurysm expansion and the main indication for intervention. In the future, appropriate software, including different anatomical characteristics, may identify aneurysm with rapid growth and higher rupture risk. Future perspectives, including computed mathematical models that will assess wall stress and elasticity and further flow characteristics, may offer valuable alternatives in AAA growth prediction.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/jcm10091917/s1, Table S1: The quality of observational studies was assessed using the Newcastle-Ottawa Scale (NOS).

Author Contributions

Conceptualization, K.S. and G.K.; Methodology, P.N. and A.B.; software, A.B.; validation, P.N. and A.B.; formal analysis, A.B.; investigation, P.N., K.S. and K.D.; data curation, P.N. and K.S.; writing–original draft preparation, P.N. and K.D.; writing–review and editing, P.N., K.S. and G.K.; visualization, G.K.; supervision, G.K.; project administration, K.S. and G.K. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

No new data were created or analyzed in this study. Data sharing is not applicable to this article.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Wanhainen, A.; Verzini, F.; Van Herzeele, I.; Allaire, E.; Bown, M.; Cohnert, T.; Dick, F.; van Herwaarden, J.; Karkos, C.; Koelemay, M.; et al. Editor’s Choice—European Society for Vascular Surgery (ESVS) 2019 Clinical Practice Guidelines on the Management of Abdominal Aorto-iliac Artery Aneurysms. Eur. J. Vasc. Endovasc. Surg. 2019, 57, 8–93. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Wanhainen, A.; Mani, K.; Golledge, J. Surrogate Markers of Abdominal Aortic Aneurysm Progression. Arterioscler. Thromb. Vasc. Biol. 2016, 36, 236–244. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Sweeting, M.J.; Thompson, S.G.; Brown, L.C.; Powell, J.T.; RESCAN collaborators. Meta-analysis of individual patient data to examine factors affecting growth and rupture of small abdominal aortic aneurysms. Br. J. Surg. 2012, 99, 655–665. [Google Scholar] [CrossRef]
  4. Yu, J.; Liu, S.; Huang, J.; Wang, W. Current Theories and Clinical Trial Evidence for Limiting Human Abdominal Aortic Aneurysm Growth. Curr. Drug Targets 2018, 19, 1302–1308. [Google Scholar] [CrossRef] [PubMed]
  5. Salata, K.; Syed, M.; Hussain, M.A.; de Mestral, C.; Greco, E.; Mamdani, M.; Tu, J.V.; Forbes, T.L.; Bhatt, D.L.; Verma, S.; et al. Statins Reduce Abdominal Aortic Aneurysm Growth, Rupture, and Perioperative Mortality: A Systematic Review and Meta-Analysis. J. Am. Heart Assoc. 2018, 7, e008657. [Google Scholar] [CrossRef] [Green Version]
  6. Salata, K.; Syed, M.; Hussain, M.A.; Eikelboom, R.; de Mestral, C.; Verma, S.; Al-Omran, M. Renin-angiotensin system blockade does not attenuate abdominal aortic aneurysm growth, rupture rate, or perioperative mortality after elective repair. J. Vasc. Surg. 2018, 67, 629–636.e2. [Google Scholar] [CrossRef] [Green Version]
  7. Sun, J.; Deng, H.; Zhou, Z.; Xiong, X.; Gao, L. Endothelium as a Potential Target for Treatment of Abdominal Aortic Aneurysm. Oxid. Med. Cell. Longev. 2018, 2018, 6306542. [Google Scholar] [CrossRef] [Green Version]
  8. Itoga, N.K.; Rothenberg, K.A.; Suarez, P.; Ho, T.V.; Mell, M.W.; Xu, B.; Curtin, C.M.; Dalman, R.L. Metformin prescription status and abdominal aortic aneurysm disease progression in the U.S. veteran population. J. Vasc. Surg. 2019, 69, 710–716.e3. [Google Scholar] [CrossRef]
  9. Baxter, B.T.; Matsumura, J.; Curci, J.A.; McBride, R.; Larson, L.; Blackwelder, W.; Lam, D.; Wijesinha, M.; Terrin, M.; N-TA3CT Investigators. Effect of Doxycycline on Aneurysm Growth Among Patients With Small Infrarenal Abdominal Aortic Aneurysms: A Randomized Clinical Trial. JAMA 2020, 323, 2029–2038. [Google Scholar] [CrossRef]
  10. Montgomery, W.G.; Spinosa, M.D.; Cullen, J.M.; Salmon, M.D.; Su, G.; Hassinger, T.; Sharma, A.K.; Lu, G.; Fashandi, A.; Ailawadi, G.; et al. Tamsulosin attenuates abdominal aortic aneurysm growth. Surgery 2018, 164, 1087–1092. [Google Scholar] [CrossRef]
  11. Golledge, J.; Norman, P.E.; Murphy, M.P.; Dalman, R.L. Challenges and opportunities in limiting abdominal aortic aneurysm growth. J. Vasc. Surg. 2017, 65, 225–233. [Google Scholar] [CrossRef] [Green Version]
  12. Chaikof, E.L.; Dalman, R.L.; Eskandari, M.K.; Jackson, B.M.; Lee, W.A.; Mansour, M.A.; Mastracci, T.M.; Mell, M.; Murad, M.H.; Nguyen, L.L.; et al. The Society for Vascular Surgery practice guidelines on the care of patients with an abdominal aortic aneurysm. J. Vasc. Surg. 2018, 67, 2–77.e2. [Google Scholar] [CrossRef] [Green Version]
  13. Moher, D.; Liberati, A.; Tetzlaff, J.; Altman, D.G.; PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Med. 2009, 6, e1000097. [Google Scholar] [CrossRef] [Green Version]
  14. The University Illinois at Chicago, What Is the PICO Model? Available online: http://researchguides.uic.edu/c.php?g=252338&p=1683349 (accessed on 23 March 2021).
  15. The Newcastle-Ottawa Scale (NOS) for assessing the quality of non-randomised studies in meta-analyses. Available online: http://www.ohri.ca/programs/clinical_epidemiology/oxford.asp (accessed on 23 March 2021).
  16. Wolf, Y.G.; Thomas, W.S.; Brennan, F.J.; Goff, W.G.; Sise, M.J.; Bernstein, E.F. Computed tomography scanning findings associated with rapid expansion of abdominal aortic aneurysms. J. Vasc. Surg. 1994, 20, 529–535, discussion 535–538. [Google Scholar] [CrossRef] [Green Version]
  17. Faggioli, G.L.; Stella, A.; Gargiulo, M.; Tarantini, S.; D’Addato, M.; Ricotta, J.J. Morphology of small aneurysms: Definition and impact on risk of rupture. Am. J. Surg. 1994, 168, 131–135. [Google Scholar] [CrossRef]
  18. Veldenz, H.C.; Schwarcz, T.H.; Endean, E.D.; Pilcher, D.B.; Dobrin, P.B.; Hyde, G.L. Morphology predicts rapid growth of small abdominal aortic aneurysms. Ann. Vasc. Surg. 1994, 8, 10–13. [Google Scholar] [CrossRef] [PubMed]
  19. Kurvers, H.; Veith, F.J.; Lipsitz, E.C.; Ohki, T.; Gargiulo, N.J.; Cayne, N.S.; Suggs, W.; Timaran, C.; Kwon, G.; Rhee, S.; et al. Discontinuous, staccato, growth of abdominal aortic aneurysms. J. Am. Coll. Surg. 2004, 199, 709–715. [Google Scholar] [CrossRef] [PubMed]
  20. Lindholt, J.S. Aneurysmal wall calcification predicts natural history of small abdominal aortic aneurysms. Atherosclerosis 2008, 197, 673–678. [Google Scholar] [CrossRef]
  21. Speelman, L.; Hellenthal, F.A.; Pulinx, B.; Bosboom, E.M.; Breeuwer, M.; van Sambeek, M.R.; van de Vossea, F.N.; Jacobs, M.J.; Wodzig, W.K.W.H.; Schurink, G.W.H. The influence of wall stress on AAA growth and biomarkers. J. Vasc. Endovasc. Surg. 2010, 39, 410–416. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Badger, S.A.; Jones, C.; McClements, J.; Lau, L.L.; Young, I.S.; Patterson, C.C. Surveillance strategies according to the rate of growth of small abdominal aortic aneurysms. Vasc. Med. 2011, 16, 415–421. [Google Scholar] [CrossRef] [Green Version]
  23. Shang, E.K.; Nathan, D.P.; Woo, E.Y.; Fairman, R.M.; Wang, G.J.; Gorman, R.C.; Gorman, J.H., III; Jackson, B.M. Local wall thickness in finite element models improves prediction of abdominal aortic aneurysm growth. J. Vasc. Surg. 2015, 61, 217–223. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Farsad, M.; Zeinali-Davarani, S.; Choi, J.; Baek, S. Computational Growth and Remodelling of Abdominal Aortic Aneurysms Constrained by the Spine. J. Biomech. Eng. 2015, 137, 0910081–09100812. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. George, E.; Giannopoulos, A.A.; Aghayev, A.; Rohatgi, S.; Imanzadeh, A.; Antoniadis, A.P.; Kumamaru, K.K.; Chatzizisis, Y.S.; Dunne, R.; Steigner, M.; et al. Contrast inhomogeneity in CT angiography of the abdominal aortic aneurysm. J. Cardiovasc. Comput. Tomogr. 2016, 10, 179–183. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Hendy, K.; Gunnarsson, R.; Cronin, O.; Colledge, J. Infra-renal abdominal aortic calcification volume does not predict small abdominal aortic aneurysm growth. Atherosclerosis 2015, 243, 334–338. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Huang, Y.; Teng, Z.; Elkhawad, M.; Tarkin, J.M.; Joshi, N.; Boyle, J.R.; Buscombe, J.R.; Fryer, T.D.; Zhang, Y.; Park, A.Y.; et al. High Structural Stress and Presence of Intraluminal Thrombus Predict Abdominal Aortic Aneurysm 18F-FDG Uptake: Insights From Biomechanics. Circ. Cardiovasc. Imaging 2016, 9, e004656. [Google Scholar] [CrossRef] [Green Version]
  28. Joly, F.; Soulez, G.; Garcia, D.; Lessard, S.; Kauffmann, C. Flow stagnation volume and abdominal aortic aneurysm growth: Insights from patient-specific computational flow dynamics of Lagrangian-coherent structures. Comput. Biol. Med. 2018, 92, 98–109. [Google Scholar] [CrossRef] [PubMed]
  29. Lindquist Liljeqvist, M.; Hultgren, R.; Gasser, T.C.; Roy, J. Volume growth of abdominal aortic aneurysms correlates with baseline volume and increasing finite element analysis-derived rupture risk. J. Vasc. Surg. 2016, 63, 1434–1442.e3. [Google Scholar] [CrossRef] [Green Version]
  30. Nakayama, A.; Morita, H.; Hayashi, N.; Nomura, Y.; Hoshina, K.; Shigematsu, K.; Ohtsu, H.; Miyata, T.; Komuro, I. Inverse Correlation between Calcium Accumulation and the Expansion Rate of Abdominal Aortic Aneurysms. Circ. J. 2016, 80, 332–339. [Google Scholar] [CrossRef] [Green Version]
  31. Wołoszko, T.; Skórski, M.; Kwasiborski, P.; Kmin, E.; Gałązka, Z.; Pogorzelski, R. Influence of Selective Biochemical and Morphological Agents on Natural History of Aneurysm of Abdominal Aorta Development. Med. Sci. Monit. 2016, 22, 431–437. [Google Scholar] [CrossRef] [Green Version]
  32. Behr-Andersen, C.; Gammelgaard, L.; Fründ, E.T.; Dahl, M.; Lindholt, J.S. Magnetic resonance imaging of the intraluminal thrombus in abdominal aortic aneurysms: A quantitative and qualitative evaluation and correlation with growth rate. J. Cardiovasc. Surg. (Torino) 2019, 60, 221–229. [Google Scholar] [CrossRef]
  33. Forsythe, R.O.; Dweck, M.R.; McBride, O.M.; Vesey, A.T.; Semple, S.I.; Shah, A.S.; Adamson, P.D.; Wallace, W.A.; Kaczynski, J.; Ho, W.; et al. (18) F-Sodium Fluoride Uptake in Abdominal Aortic Aneurysms: The SoFIA (3) Study. J. Am. Coll. Cardiol. 2018, 71, 513–523. [Google Scholar] [CrossRef]
  34. MA3RS Study Investigators. Aortic Wall Inflammation Predicts Abdominal Aortic Aneurysm Expansion, Rupture and Need for Surgical Repair. Circulation 2017, 136, 787–797. [Google Scholar] [CrossRef] [PubMed]
  35. Nyronning, L.A.; Skoog, P.; Videm, V.; Mattsson, E. Is the aortic size index relevant as a predictor of abdominal aortic aneurysm? A population-based prospective study: The Tromsø study. Scand. Cardiovasc. J. 2020, 54, 130–137. [Google Scholar] [CrossRef] [PubMed]
  36. Tzirakis, K.; Kontopodis, N.; Metaxa, E.; Ioannou, C.V.; Papaharilaou, Y. Spatial Distribution of Abdominal Aortic Aneurysm Surface Expansion and Correlation With Maximum Diameter and Volume Growth. Ann. Vasc. Surg. 2019, 58, 276–288. [Google Scholar] [CrossRef] [PubMed]
  37. Hirata, K.; Nakaura, T.; Nakagawa, M.; Kidoh, M.; Oda, S.; Utsunomiya, D.; Yamashita, Y. Machine Learning to Predict the Rapid Growth of Small Abdominal Aortic Aneurysm. J. Comput. Assist. Tomogr. 2020, 44, 37–42. [Google Scholar] [CrossRef]
  38. Zhu, C.; Leach, J.R.; Wang, Y.; Gasper, W.; Saloner, D.; Hope, M.D. Intraluminal Thrombus Predicts Rapid Growth of Abdominal Aortic Aneurysms. Radiology 2020, 294, 707–713. [Google Scholar] [CrossRef]
  39. Spanos, K.; Nana, P.; Behrendt, C.A.; Kouvelos, G.; Panuccio, G.; Heidemann, F.; Matsagkas, M.; Debus, S.; Giannoukas, A.; Kölbel, T. Management of Abdominal Aortic Aneurysm Disease: Similarities and Differences Among Cardiovascular Guidelines and NICE Guidance. J. Endovasc. Ther. 2020, 27, 889–901. [Google Scholar] [CrossRef]
  40. Spanos, K.; Eckstein, H.-H.; Giannoukas, A.D. Small Abdominal Aortic Aneurysms Are Not All the Same. Angiology 2020, 71, 205–207. [Google Scholar] [CrossRef] [Green Version]
  41. Cao, P.; De Rango, P.; Verzini, F.; Parlani, G.; Romano, L.; Cieri, E.; CAESAR Trial Group. Comparison of Surveillance Versus Aortic Endografting for Small Aneurysm Repair (CAESAR): Results from a randomized trial. Eur. J. Endovasc. Surg. 2011, 41, 13–25. [Google Scholar] [CrossRef] [Green Version]
  42. Ouriel, K.; Clair, D.G.; Kent, K.C.; Zarins, C.K. Positive Impact of Endovascular Options for Treating Aneurysms Early (PIVOTAL) Investigators. Endovascular repair compared with surveillance for patients with small abdominal aortic aneurysms. J. Vasc. Surg. 2010, 51, 1081–1087. [Google Scholar] [CrossRef] [Green Version]
  43. Ballotta, E.; Da Giau, G.; Bottio, T.; Toniato, A. Elective surgery for small abdominal aortic aneurysms. Cardiovasc. Surg. 1999, 7, 495–502. [Google Scholar] [CrossRef]
  44. Powell, J.T.; Gotensparre, S.M.; Sweeting, M.J.; Brown, L.C.; Fowkes, F.G.; Thompson, S.G. Rupture rates of small abdominal aortic aneurysms: A systematic review of the literature. Eur. J. Vasc. Endovasc. Surg. 2011, 41, 2–10. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Propper, B.W.; Rasmussen, T.E.; Jones, W.T.; Gifford, S.M.; Burkhardt, G.E.; Clouse, W.D. Temporal changes of aortic neck morphology in abdominal aortic aneurysms. J. Vasc. Surg. 2010, 51, 1111–1115. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. Buijs, R.V.; Willems, T.P.; Tio, R.A.; Boersma, H.H.; Tielliu, I.F.; Slart, R.H.; Zeebregts, C.J. Current state of experimental imaging modalities for risk assessment of abdominal aortic aneurysm. J. Vasc. Surg. 2013, 57, 851–859. [Google Scholar] [CrossRef] [Green Version]
  47. Xu, X.Y.; Borghi, A.; Nchimi, A.; Leung, J.; Gomez, P.; Cheng, Z.; Defraigne, J.; Sakalihasan, N. High levels of 18F-FDG uptake in aortic aneurysm wall are associated with high wall stress. Eur. J. Vasc. Endovasc. Surg. 2010, 39, 295–301. [Google Scholar] [CrossRef] [Green Version]
  48. Xenos, M.; Labropoulos, N.; Rambhia, S.; Alemu, Y.; Einav, S.; Tassiopoulos, A.; Sakalihasan, N.; Bluestein, D. Progression of abdominal aortic aneurysm towards rupture: Refining clinical risk assessment using a fully coupled fluid-structure interaction method. Ann. Biomed. Eng. 2015, 43, 139–153. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  49. Kyriakou, F.; Dempster, W.; Nash, D. Analysing The Cross-Section of The Abdominal Aortic Aneurysm Neck and Its Effects on Stent Deployment. Sci. Rep. 2020, 10, 4673. [Google Scholar] [CrossRef]
  50. Crawford, J.D.; Chivukula, V.K.; Haller, S.; Vatankhah, N.; Bohannan, C.J.; Moneta, G.L.; Rugonyi, S.; Azarbal, A.F. Aortic outflow occlusion predicts rupture of abdominal aortic aneurysm. J. Vasc. Surg. 2016, 64, 1623–1628. [Google Scholar] [CrossRef] [Green Version]
  51. Anonymous. Mortality results for randomized controlled trial of early elective surgery or ultrasonographic surveillance for small abdominal aortic aneurysms. The UK small aneurysm trial participants. Lancet 1998, 352, 1649–1655. [Google Scholar] [CrossRef]
  52. Lederle, F.A.; Wilson, S.E.; Johnson, G.R.; Reinke, D.B.; Littooy, F.N.; Acher, C.W.; Ballard, D.J.; Messina, L.M.; Gordon, I.L.; Chute, E.P.; et al. Immediate repair compared with surveillance of small abdominal aortic aneurysms. N. Engl. J. Med. 2002, 346, 1437–1444. [Google Scholar] [CrossRef]
  53. Rowbotham, S.E.; Krishna, S.M.; Moran, C.S.; Golledge, J. Fenofibrate and Telmisartan in the Management of Abdominal Aortic Aneurysm. Curr. Drug Targets 2018, 19, 1241–1246. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Raffort, J.; Lareyre, F.; Clément, M.; Hassen-Khodja, R.; Chinetti, G.; Mallat, Z. Diabetes and aortic aneurysm: Current state of the art. Cardiovasc. Res. 2018, 114, 1702–1713. [Google Scholar] [CrossRef] [PubMed]
  55. Qureshi, M.I.; Greco, M.; Vorkas, P.A.; Holmes, E.; Davies, A.H. Application of Metabolic Profiling to Abdominal Aortic Aneurysm Research. J. Proteome Res. 2017, 16, 2325–2332. [Google Scholar] [CrossRef]
  56. Torres-Fonseca, M.; Galan, M.; Martinez-Lopez, D.; Cañes, L.; Roldan-Montero, R.; Alonso, J.; Reyero-Postigo, T.; Orriols, M.; Mendez-Barbero, N.; Sirvent, M.; et al. Pathophysiology of abdominal aortic aneurysm: Biomarkers and novel therapeutic targets. Clin. Investig. Arterioscler. 2019, 31, 166–177. [Google Scholar] [CrossRef] [PubMed]
  57. Nana, P.; Dakis, K.; Brodis, A.; Spanos, K.; Kouvelos, G. Circulating Biomarkers for the Prediction of Abdominal Aortic Aneurysm Growth. J. Clin. Med. 2021, 10, 1718. [Google Scholar] [CrossRef]
Figure 1. The flow chart of the selection process according to Systematic Reviews and Meta-Analysis statement [13].
Figure 1. The flow chart of the selection process according to Systematic Reviews and Meta-Analysis statement [13].
Jcm 10 01917 g001
Table 1. P.I.C.O. (patient; intervention; comparison; outcome) model was used to define the clinical questions and clinically relevant evidence in the literature.
Table 1. P.I.C.O. (patient; intervention; comparison; outcome) model was used to define the clinical questions and clinically relevant evidence in the literature.
PPatient, Population or ProblemPatients with AAA
IIntervention, prognostic factor or exposurePre-operative surveillance with imaging modalities of patients with AAA
CComparison of interventionAAA expansion rate during surveillance defined as the difference between the initial and latest available diameter devised by time (mm/year)
OOutcome you would like to measure or achieveImaging findings associated to aneurysm growth
What type of question are you asking?Are there imaging factors that could predict AAA evolution?
Are there imaging factors that affect positively or negatively aneurysm growth?
Type of study you want to findCohort observational trials; prospective and retrospective reporting on AAA growth and predictive imaging findings
AAA: abdominal aortic aneurysm.
Table 2. Retrospective and 10 prospective. All patients underwent imaging with different modalities; the initial evaluation was followed by one or more studies to assess AAA (abdominal aortic aneurysm) expansion. Different modalities were applied including CTA, MRI, PET and US or a combination of them.
Table 2. Retrospective and 10 prospective. All patients underwent imaging with different modalities; the initial evaluation was followed by one or more studies to assess AAA (abdominal aortic aneurysm) expansion. Different modalities were applied including CTA, MRI, PET and US or a combination of them.
AuthorYearJournalStudy PeriodTypeImaging Modality
Wolf, et al. [16]1994JVS1986–1992RetrospectiveCTA
Faggioli, et al. [17]1994Am J SurgNAProspectiveAngiography, CTA
Veldenz, et al. [18]1994Ann Vasc Surg1988–1992RetrospectiveCTA
Kurvers, et al. [19]2004J Am Col Surg1996–2002RetrospectiveCTA
Lindholt, et al. [20]2008Atherosclerosis1994ProspectiveUS
Speelman, et al. [21]2010EJVESNAProspectiveCTA
Badger, et al. [22]2011Vasc Med2004–2006RetrospectiveUS
Shang, et al. [23]2013JVSNARetrospectiveCTA
Farsad, et al. [24]2015J Cardiovasc Comput TomogrNAProspectiveCTA
George, et al. [25]2015J Cardiovasc Comput Tomogr2010–2011RetrospectiveCTA
Hendy, et al. [26]2015Atheroscl2003–2013ProspectiveCTA
Huang, et al. [27]2016Mol ImagingNAProspectivePET-CT, CTA
Joly, et al. [28]2016Comput Biol Med2006–2013RetrospectiveCTA, MRI
Lindquist, et al. [29]2016JVS2009–2013RetrospectiveCTA
Nakayama, et al. [30]2016Circ J2003–2011RetrospectiveCTA
Woloszko, et al. [31]2016Med Sci Monit2005–2010ProspectiveUS, CTA
Behr, et al. [32]2017J Cardiovasc Surg2014–2015RetrospectiveMRI, US
Forsythe, et al. [33]2017JACCNAProspectivePET-CT
MARS investigators [34]2017Circ2012–2014ProspectiveMRI
Nyronning, et al. [35]2019Scand Cardiovasc J1994–2005ProspectiveUS
Tzirakis, et al. [36]2019Ann Vasc SurgNARetrospectiveCTA
Hirata, et al. [37]2020J Comput Assist Tomogr2010–2016RetrospectiveCTA
Zhu, et al. [38]2020Radiology2004–2018RetrospectiveCTA, MRI, PET CT
CTA: computed tomography angiography; US: ultrasound; MRI: magnetic resonance imaging; NA: not applicable; PET-CT: positron emission tomography-computed angiography.
Table 3. Abdominal aortic initial diameter was reported in 13 studies and ranged between 19.9 and 50.9 mm.
Table 3. Abdominal aortic initial diameter was reported in 13 studies and ranged between 19.9 and 50.9 mm.
AuthorsAAA Diameter Threshold for InclusionInitial AAA DiameterFollow-Up
(Months)
AAA Diameter at Follow-UpAAA Growth Rate in mm/year
Wolf, et al. [16]>30 mm44 ± 6 mm22 ± 12NA2.5 ± 2.4
Faggioli, et al. [17]<50 mmNANANANA
Veldenz, et al. [18]<50 mmNA15NANA
Kurvers, et al. [19]NA50 ± 9 mm42NA3.6 ± 2.4
Lindholt, et al. [20]NA32 mm6.15 ± 3.61NA2.45
Speelman, et al. [21]NANA12NANA
Badger, et al. [22]46 mm39 mmNANA0.75 for AAA <35 mm
& 4.32 for AAA >50 mm
Shang, et al. [23]NA45.8 ± 7.7 mm22.0 ± 13.650.6 ± 9.0 mm2.8 ± 1.7
Farsad, et al. [24]<5 cmNANANANA
George, et al. [25]NANA26NANA
Hendy, et al. [26]NANA16NA1.6 vs. 1.8 in AAA with > or < than 50% of wall calcification, respectively
Huang, et al. [27]NA41 ± 5.4 mmNANANA
Joly, et al. [28]<55 mmNA96NANA
Lindquist, et al. [29]<50 mm52 mm1255 mm3.1
Nakayama, et al. [30]<55 mm44.7 ± 14.6 mm1952.9 ± 2.9 mmNA
Woloszko, et al. [31]NA39 mm2443 mmNA
Behr, et al. [32]>30 mm31.9 mm6742.3 mm1.95; 2.04 in case of circumferential thrombus
Forsythe, et al. [33]<50 mmNA16.7± 6.4NA2.20
MARS investigators [34]NA49.6 ± 7.7 mm33 ± 9.2NA2.8 ± 2.4
Nyronning, et al. [35]<40 mm19.9 mm12020.3 mm3.1 in 2 years of FUP
Tzirakis, et al. [36]>40 mmNANANA3.35
Hirata, et al. [37]NA42.8 ± 6.7 mmNANA3.0 ± 2.3
Zhu, et al. [38]32–56 mm38 mm39.6 ± 3044 mm1.5; 2.0 in AAA with intra-luminal thrombus
Mean follow-up was estimated at 34.5 months (range 6–120 months). Aneurysm diameter at the end of surveillance was reported in 7 studies and was ranging between 20.3 and 55 mm. The annual growth rate was recorded in 12 studies. AAA: abdominal aortic aneurysm; NA: not applicable; FUP: follow-up.
Table 4. Out of 23 studies, the initial diameter was characterized as a prognostic factor associated to aneurysm expansion.
Table 4. Out of 23 studies, the initial diameter was characterized as a prognostic factor associated to aneurysm expansion.
AuthorNumber of Imaging Predictive Factors Per StudyInitial AAA
Diameter
Presence of Intra-Luminal ThrombusType of Thrombus
Associated to Expansion
Presence of Aortic Wall CalcificationAAA Volume
Wolf, et al. [16]1 Positive
Faggioli, et al. [17]1
Veldenz, et al. [18]1
Kurvers, et al. [19]1Positive
Lindholt, et al. [20]1 Negative
Speelman, et al. [21]1
Badger, et al. [22]2Positive
Shang, et al. [23]2No associated
Farsad, et al. [24]
George, et al. [25]2PositivePositiveInhomogeneous
Hendy, et al. [26]2 Positive
Huang, et al. [27]2 Positive
Joly, et al. [28]1
Lindquist, et al. [29]1 Positive
Nakayama, et al. [30]2Positive Negative
Woloszko, et al. [31]3PositivePositive
Behr, et al. [32]1PositivePositiveInhomogeneous
Circumferential
Forsythe, et al. [33]1
MARS investigators [34]3Positive
Nyronning, et al. [35]2Positive
Tzirakis, et al. [36]3PositivePositive Positive
Hirata, et al. [37]2PositiveNot associated
Zhu, et al. [38]2PositivePositive
Regarding the presence of intra-luminal thrombus, seven studies concluded that presence of thrombus affected positively aneurysm growth. Aneurysm wall calcification was documented to have a negative association to aneurysm expansion in two out of three studies. AAA: abdominal aortic aneurysm.
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Nana, P.; Spanos, K.; Dakis, K.; Brodis, A.; Kouvelos, G. Imaging Predictive Factors of Abdominal Aortic Aneurysm Growth. J. Clin. Med. 2021, 10, 1917. https://doi.org/10.3390/jcm10091917

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Nana P, Spanos K, Dakis K, Brodis A, Kouvelos G. Imaging Predictive Factors of Abdominal Aortic Aneurysm Growth. Journal of Clinical Medicine. 2021; 10(9):1917. https://doi.org/10.3390/jcm10091917

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Nana, Petroula, Konstantinos Spanos, Konstantinos Dakis, Alexandros Brodis, and George Kouvelos. 2021. "Imaging Predictive Factors of Abdominal Aortic Aneurysm Growth" Journal of Clinical Medicine 10, no. 9: 1917. https://doi.org/10.3390/jcm10091917

APA Style

Nana, P., Spanos, K., Dakis, K., Brodis, A., & Kouvelos, G. (2021). Imaging Predictive Factors of Abdominal Aortic Aneurysm Growth. Journal of Clinical Medicine, 10(9), 1917. https://doi.org/10.3390/jcm10091917

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