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Decoding Aortic Disease by Enhancing Wall Shear Stress Analysis in 4D Flow MRI
Linköping University, Department of Health, Medicine and Caring Sciences, Division of Diagnostics and Specialist Medicine. Linköping University, Faculty of Medicine and Health Sciences.ORCID iD: 0000-0002-0770-0769
2025 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Aortic aneurysm is a silent, asymptomatic enlargement of the aorta that can lead to life-threatening events. Current clinical guidelines rely on aortic diameter to assess the risk of complications and to time prophylactic interventions. However, the aorta may grow slowly for years or expand rapidly just before the occurrence of adverse events. Size-based criteria are a poor measure of disease progression, so new markers are needed to improve risk stratification in patients with aortic aneurysm.

Advanced magnetic resonance imaging (MRI) permits the non-invasive assessment of cardiovascular anatomy and function. Four-dimensional (4D) Flow MRI measures the three-dimensional blood velocity field over the cardiac cycle, and enables the quantification of blood forces acting on the aortic wall. These forces induce remodelling processes associated with physiological changes and diseases. One such force is the frictional force on the aortic wall, known as wall shear stress (WSS). WSS regulates normal vascular function, but its role in disease progression is unclear. Understanding blood flow forces in both healthy and diseased aortas may provide new insights into the mechanisms of aortic disease, and may help in identifying novel markers to assist clinical decision-making. This thesis aims to enhance the analysis of WSS with 4D Flow MRI in the context of aortic disease.

First, aortic wall motion is incorporated into the WSS analysis. 4D Flow MR image processing methods are mostly manual and time-consuming. Consequently, WSS analysis is mainly restricted to one cardiac phase or neglects aortic wall motion when assessing WSS metrics encompassing the whole cardiac cycle. This thesis tailored semi-automated atlas-based segmentation and surface registration methods to aortic applications, to obtain a moving aortic wall surface.

Second, a robust framework for statistical analysis to compare cohorts based on WSS metrics is proposed. WSS patterns can be visualised and quantified on three-dimensional WSS maps representing the aortic wall surface. These maps are used to infer local differences in WSS metrics between cohorts. This thesis introduces permutation tests in cardiovascular MRI to facilitate such local inter-cohort comparisons.

Third, a deep learning method is proposed to reduce the acquired data in cardiovascular 4D Flow MRI. Increasing the spatial resolution of 4D Flow MR images would be beneficial for estimating WSS metrics. By reducing the acquired data, the lengthy acquisition time of 4D Flow can be shortened or the temporal resolution improved. Alternatively, the time saved can be reinvested to increase the spatial resolution of the images, thereby enhancing WSS assessment.

Finally, the results obtained throughout the work performed in this thesis demonstrate the utility of 4D Flow MRI-based WSS markers in selected cohorts. Markers of altered blood flow were identified in patients with abdominal aortic aneurysm, and in dilated patients with bicuspid valves and aortic regurgitation. Moreover, 4D Flow MRI-based WSS metrics correlated to circulating biomarkers of inflammation and collagen synthesis in patients with mildly dilated aorta and tricuspid valves. These findings showcase the potential of 4D Flow MRI in improving the mechanistic understanding behind aortic diseases and their risk assessment.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2025. , p. 85
Series
Linköping University Medical Dissertations, ISSN 0345-0082 ; 1965
National Category
Cardiology and Cardiovascular Disease
Identifiers
URN: urn:nbn:se:liu:diva-212220DOI: 10.3384/9789180759830ISBN: 9789180759823 (print)ISBN: 9789180759830 (electronic)OAI: oai:DiVA.org:liu-212220DiVA, id: diva2:1943989
Public defence
2025-04-11, Granitsalen, building 448, Campus US, Linköping, 13:00 (English)
Opponent
Supervisors
Note

Funding: This work has been conducted in collaboration with the Center for Medical Image Sci-ence and Visualization (CMIV) at Linköping University, Sweden. CMIV is acknowledged for the provision of financial support and research infrastructure. The author also acknowledges the financial support provided by: The Medical Faculty at Linköping University, ALF Grants, Region Östergötland, Analytic Imaging Diagnostics Arena (AIDA) at Linköping University.

Available from: 2025-03-12 Created: 2025-03-12 Last updated: 2025-03-20Bibliographically approved
List of papers
1. Wall shear stress and relative residence time as potential risk factors for abdominal aortic aneurysms in males: a 4D flow cardiovascular magnetic resonance case-control study
Open this publication in new window or tab >>Wall shear stress and relative residence time as potential risk factors for abdominal aortic aneurysms in males: a 4D flow cardiovascular magnetic resonance case-control study
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2022 (English)In: Journal of Cardiovascular Magnetic Resonance, ISSN 1097-6647, E-ISSN 1532-429X, Vol. 24, no 1, article id 18Article in journal (Refereed) Published
Abstract [en]

Background Abdominal aortic aneurysms (AAA) can lead to catastrophic events such as dissection or rupture, and are an expression of general aortic disease. Low wall shear stress (WSS), high oscillatory shear index (OSI), and high relative residence time (RRT) have been correlated against increased uptake of inflammatory markers in the vessel wall and may improve risk stratification of AAA. We sought to obtain a comprehensive view of WSS, OSI, and RRT in the whole aorta for patients with AAA and age-matched elderly controls and young normal controls. Methods 4D Flow cardiovascular magnetic resonance images of the whole aorta were acquired in 18 AAA patients (70.8 +/- 3.4 years), 22 age-matched controls (71.4 +/- 3.4 years), and 23 young subjects (23.3 +/- 3.1 years), all males. Three-dimensional segmentations of the whole aorta were created for all timeframes using a semi-automatic approach. The aorta was divided into five segments: ascending aorta, arch, descending aorta, suprarenal and infrarenal abdominal aorta. For each segment, average values of peak WSS, OSI, and RRT were computed. Students t-tests were used to compare values between the three cohorts (AAA patients vs elderly controls, and elderly controls vs young controls) where the data were normally distributed, and the non-parametric Wilcoxon rank sum tests were used otherwise. Results AAA patients had lower peak WSS in the descending aorta as well as in the abdominal aorta compared to elderly controls (p <= 0.001), similar OSI, but higher RRT in the descending and abdominal aorta (p <= 0.001). Elderly controls had lower peak WSS compared to young controls throughout the aorta (p < 0.001), higher OSI in all segments except for the infrarenal aorta (p < 0.001), and higher RRT throughout the aorta, except the infrarenal aorta (p < 0.001). Conclusions This study provides novel insights into WSS, OSI, and RRT in patients with AAA in relation to normal ageing, highlighting how AAA patients have markedly abnormal hemodynamic stresses not only in the infrarenal, but in the entire aorta. Moreover, we identified RRT as a marker for abnormal AAA hemodynamics. Further investigations are needed to explore if RRT or other measures of hemodynamics stresses best predict AAA growth and/or rupture.

Place, publisher, year, edition, pages
BMC, 2022
Keywords
Abdominal aortic aneurysm; 4D flow; Wall shear stress; Oscillatory shear index; Relative residence time
National Category
Cardiology and Cardiovascular Disease
Identifiers
urn:nbn:se:liu:diva-184127 (URN)10.1186/s12968-022-00848-2 (DOI)000770612400001 ()35303893 (PubMedID)
Note

Funding Agencies|Linkoping University; Swedish Heart and Lung foundationSwedish Heart-Lung Foundation; Swedish Research CouncilSwedish Research CouncilEuropean Commission; Medical Research Council of Southeast Sweden (FORSS)

Available from: 2022-04-07 Created: 2022-04-07 Last updated: 2025-03-12
2. Oscillatory shear stress is elevated in patients with bicuspid aortic valve and aortic regurgitation: a 4D flow cardiovascular magnetic resonance cross-sectional study
Open this publication in new window or tab >>Oscillatory shear stress is elevated in patients with bicuspid aortic valve and aortic regurgitation: a 4D flow cardiovascular magnetic resonance cross-sectional study
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2024 (English)In: European Heart Journal Cardiovascular Imaging, ISSN 2047-2404, E-ISSN 2047-2412, Vol. 25, no 3, p. 402-412Article in journal (Refereed) Published
Abstract [en]

Aims Patients with bicuspid aortic valve (BAV) and aortic regurgitation have higher rate of aortic complications compared with patients with BAV and stenosis, as well as BAV without valvular disease. Aortic regurgitation alters blood haemodynamics not only in systole but also during diastole. We therefore sought to investigate wall shear stress (WSS) during the whole cardiac cycle in BAV with aortic regurgitation.Methods and results Fifty-seven subjects that underwent 4D flow cardiovascular magnetic resonance imaging were included: 13 patients with BAVs without valve disease, 14 BAVs with aortic regurgitation, 15 BAVs with aortic stenosis, and 22 normal controls with tricuspid aortic valve. Peak and time averaged WSS in systole and diastole and the oscillatory shear index (OSI) in the ascending aorta were computed. Students t-tests were used to compare values between the four groups where the data were normally distributed, and the non-parametric Wilcoxon rank sum tests were used otherwise. BAVs with regurgitation had similar peak and time averaged WSS compared with the patients with BAV without valve disease and with stenosis, and no regions of elevated WSS were found. BAV with aortic regurgitation had twice as high OSI as the other groups (P <= 0.001), and mainly in the outer mid-to-distal ascending aorta.Conclusion OSI uniquely characterizes altered WSS patterns in BAVs with aortic regurgitation, and thus could be a haemodynamic marker specific for this specific group that is at higher risk of aortic complications. Future longitudinal studies are needed to verify this hypothesis. Graphical Abstract Patients with bicuspid aortic valve and aortic regurgitation present with regions of elevated oscillatory shear index in the ascending aorta, namely in the outer mid-to-distal segments. The 2D map represents segments with higher oscillatory shear index for a group of patients with bicuspid aortic valve and aortic regurgitation compared with patients with bicuspid aortic valve without valve disease. I, inner edge of ascending aorta, identified based on the inner insertion of the aortic annulus; O, outer edge; R, right edge; L, left edge.

Place, publisher, year, edition, pages
OXFORD UNIV PRESS, 2024
Keywords
bicuspid aortic valve; aortic regurgitation; wall shear stress; oscillatory shear index; cardiovascular magnetic resonance
National Category
Cardiology and Cardiovascular Disease
Identifiers
urn:nbn:se:liu:diva-199739 (URN)10.1093/ehjci/jead283 (DOI)001111846400001 ()37878753 (PubMedID)
Note

Funding Agencies|Swedish Research Council [2021-03716]; Medical Faculty at Linkoeping University; ALF; Region Ostergoetland; University of Calgary [1054341]; Libin Cardiovascular Institute; Siemens Healthineers; Natural Science and Engineering Research Council of Canada [DGECR-2020-00204, RGPIN- 2020-04549]

Available from: 2023-12-20 Created: 2023-12-20 Last updated: 2025-03-12Bibliographically approved
3. Wall shear stress measured with 4D flow CMR correlates with biomarkers of inflammation and collagen synthesis in mild-to-moderate ascending aortic dilation and tricuspid aortic valves
Open this publication in new window or tab >>Wall shear stress measured with 4D flow CMR correlates with biomarkers of inflammation and collagen synthesis in mild-to-moderate ascending aortic dilation and tricuspid aortic valves
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2024 (English)In: European Heart Journal Cardiovascular Imaging, ISSN 2047-2404, E-ISSN 2047-2412, Vol. 25, no 10, p. 1384-1393Article in journal (Refereed) Published
Abstract [en]

Aims Understanding the mechanisms underlying ascending aortic dilation is imperative for refined risk stratification of these patients, particularly among incidentally identified patients, most commonly presenting with tricuspid valves. The aim of this study was to explore associations between ascending aortic haemodynamics, assessed using four-dimensional flow cardiovascular magnetic resonance imaging (4D flow CMR), and circulating biomarkers in aortic dilation. Methods and results Forty-seven cases with aortic dilation (diameter >= 40 mm) and 50 sex-and age-matched controls (diameter < 40 mm), all with tricuspid aortic valves, underwent 4D flow CMR and venous blood sampling. Associations between flow displacement, wall shear stress (WSS), and oscillatory shear index in the ascending aorta derived from 4D flow CMR, and biomarkers including interleukin-6, collagen type I alpha 1 chain, metalloproteinases (MMPs), and inhibitors of MMPs derived from blood plasma, were investigated. Cases with dilation exhibited lower peak systolic WSS, higher flow displacement, and higher mean oscillatory shear index compared with controls without dilation. No significant differences in biomarkers were observed between the groups. Correlations between haemodynamics and biomarkers were observed, particularly between maximum time-averaged WSS and interleukin-6 (r = 0.539, P < 0.001), and maximum oscillatory shear index and collagen type I alpha 1 chain (r = -0.575, P < 0.001 in cases). Conclusion Significant associations were discovered between 4D flow CMR derived whole-cardiac cycle WSS and circulating biomarkers representing inflammation and collagen synthesis, suggesting an intricate interplay between haemodynamics and the processes of inflammation and collagen synthesis in patients with early aortic dilation and tricuspid aortic valves.

Place, publisher, year, edition, pages
OXFORD UNIV PRESS, 2024
Keywords
aortic dilation; wall shear stress; circulating biomarkers; cardiovascular magnetic resonance; 4D flow CMR
National Category
Cardiology and Cardiovascular Disease
Identifiers
urn:nbn:se:liu:diva-204340 (URN)10.1093/ehjci/jeae130 (DOI)001231867000001 ()38748858 (PubMedID)2-s2.0-85206282424 (Scopus ID)
Note

Funding Agencies|ALF Grants; Medical Faculty at Linkping University; Futurum-Academy for Health and Care, Region Jnkping [NT-2021-03716]; Swedish Research Council

Available from: 2024-06-12 Created: 2024-06-12 Last updated: 2025-03-12Bibliographically approved

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