2
|
Aalbregt E, Rijken L, Nederveen A, van Ooij P, Yeung KK, Jongkind V. Quantitative Magnetic Resonance Imaging to Assess Progression and Rupture Risk of Aortic Aneurysms: A Scoping Review. J Endovasc Ther 2023:15266028231204830. [PMID: 37853734 DOI: 10.1177/15266028231204830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2023]
Abstract
PURPOSE In current practice, the diameter of an aortic aneurysm is utilized to estimate the rupture risk and decide upon timing of elective repair, although it is known to be imprecise and not patient-specific. Quantitative magnetic resonance imaging (MRI) enables the visualization of several biomarkers that provide information about processes within the aneurysm and may therefore facilitate patient-specific risk stratification. We performed a scoping review of the literature on quantitative MRI techniques to assess aortic aneurysm progression and rupture risk, summarized these findings, and identified knowledge gaps. METHODS Literature concerning primary research was of interest and the medical databases PubMed, Scopus, Embase, and Cochrane were systematically searched. This study used the PRISMA protocol extension for scoping reviews. Articles published between January 2010 and February 2023 involving animals and/or humans were included. Data were extracted by 2 authors using a predefined charting method. RESULTS A total of 1641 articles were identified, of which 21 were included in the scoping review. Quantitative MRI-derived biomarkers were categorized into hemodynamic (8 studies), wall (5 studies) and molecular biomarkers (8 studies). Fifteen studies included patients and/or healthy human subjects. Animal models were investigated in the other 6 studies. A cross-sectional study design was the most common, whereas 5 animal studies had a longitudinal component and 2 studies including patients had a prospective design. A promising hemodynamic biomarker is wall shear stress (WSS), which is estimated based on 4D-flow MRI. Molecular biomarkers enable the assessment of inflammatory and wall deterioration processes. The ADAMTS4-specific molecular magnetic resonance (MR) probe showed potential to predict abdominal aortic aneurysm (AAA) formation and rupture in a murine model. Wall biomarkers assessed using dynamic contrast-enhanced (DCE) MRI showed great potential for assessing AAA progression independent of the maximum diameter. CONCLUSION This scoping review provides an overview of quantitative MRI techniques studied and the biomarkers derived from them to assess aortic aneurysm progression and rupture risk. Longitudinal studies are needed to validate the causal relationships between the identified biomarkers and aneurysm growth, rupture, or repair. In the future, quantitative MRI could play an important role in the personalized risk assessment of aortic aneurysm rupture. CLINICAL IMPACT The currently used maximum aneurysm diameter fails to accurately assess the multifactorial pathology of an aortic aneurysm and precisely predicts rupture in a patient-specific manner. Quantitative magnetic resonance imaging (MRI) enables the detection of various quantitative parameters involved in aneurysm progression and subsequent rupture. This scoping review provides an overview of the studied quantitative MRI techniques, the biomarkers derived from them, and recommendations for future research needed for the implementation of these biomarkers. Ultimately, quantitative MRI could facilitate personalized risk assessment for patients with aortic aneurysms, thereby reducing untimely repairs and improving rupture prevention.
Collapse
Affiliation(s)
- Eva Aalbregt
- Department of Surgery, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands
| | - Lotte Rijken
- Department of Surgery, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands
| | - Aart Nederveen
- Department of Radiology and Nuclear Medicine, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands
| | - Pim van Ooij
- Department of Radiology and Nuclear Medicine, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands
| | - Kak Khee Yeung
- Department of Surgery, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands
| | - Vincent Jongkind
- Department of Surgery, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands
- Amsterdam UMC, location AMC, Amsterdam, The Netherlands
| |
Collapse
|
3
|
Toczek J, Gona K, Liu Y, Ahmad A, Ghim M, Ojha D, Kukreja G, Salarian M, Luehmann H, Heo GS, Guzman RJ, Ochoa Chaar CI, Tellides G, Hassab AH, Ye Y, Shoghi KI, Zayed MA, Gropler RJ, Sadeghi MM. Positron Emission Tomography Imaging of Vessel Wall Matrix Metalloproteinase Activity in Abdominal Aortic Aneurysm. Circ Cardiovasc Imaging 2023; 16:e014615. [PMID: 36649454 PMCID: PMC9858355 DOI: 10.1161/circimaging.122.014615] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 10/31/2022] [Indexed: 01/19/2023]
Abstract
BACKGROUND Matrix metalloproteinases (MMPs) play a key role in the pathogenesis of abdominal aortic aneurysm (AAA). Imaging aortic MMP activity, especially using positron emission tomography to access high sensitivity, quantitative data, could potentially improve AAA risk stratification. Here, we describe the design, synthesis, characterization, and evaluation in murine AAA and human aortic tissue of a first-in-class MMP-targeted positron emission tomography radioligand, 64Cu-RYM2. METHODS The broad spectrum MMP inhibitor, RYM2 was synthetized, and its potency as an MMP inhibitor was evaluated by a competitive inhibition assay. Toxicology studies were performed. Tracer biodistribution was evaluated in a murine model of AAA induced by angiotensin II infusion in Apolipoprotein E-deficient mice. 64Cu-RYM2 binding to normal and aneurysmal human aortic tissues was assessed by autoradiography. RESULTS RYM2 functioned as an MMP inhibitor with nanomolar affinities. Toxicology studies showed no adverse reaction in mice. Upon radiolabeling with Cu-64, the resulting tracer was stable in murine and human blood in vitro. Biodistribution and metabolite analysis in mice showed rapid renal clearance and acceptable in vivo stability. In vivo positron emission tomography/computed tomography in a murine model of AAA showed a specific aortic signal, which correlated with ex vivo measured MMP activity and Cd68 gene expression. 64Cu-RYM2 specifically bound to normal and aneurysmal human aortic tissues in correlation with MMP activity. CONCLUSIONS 64Cu-RYM2 is a first-in-class MMP-targeted positron emission tomography tracer with favorable stability, biodistribution, performance in preclinical AAA, and importantly, specific binding to human tissues. These data set the stage for 64Cu-RYM2-based translational imaging studies of vessel wall MMP activity, and indirectly, inflammation, in AAA.
Collapse
Affiliation(s)
- Jakub Toczek
- Cardiovascular Molecular Imaging Laboratory, Section of Cardiovascular Medicine and Yale Cardiovascular Research Center, Yale University School of Medicine, New Haven, CT (USA)
- Veterans Affairs Connecticut Healthcare System, West Haven, CT (USA)
| | - Kiran Gona
- Cardiovascular Molecular Imaging Laboratory, Section of Cardiovascular Medicine and Yale Cardiovascular Research Center, Yale University School of Medicine, New Haven, CT (USA)
- Veterans Affairs Connecticut Healthcare System, West Haven, CT (USA)
| | - Yongjian Liu
- Department of Radiology, Washington University, St. Louis, MO (USA)
| | - Azmi Ahmad
- Cardiovascular Molecular Imaging Laboratory, Section of Cardiovascular Medicine and Yale Cardiovascular Research Center, Yale University School of Medicine, New Haven, CT (USA)
- Veterans Affairs Connecticut Healthcare System, West Haven, CT (USA)
| | - Mean Ghim
- Cardiovascular Molecular Imaging Laboratory, Section of Cardiovascular Medicine and Yale Cardiovascular Research Center, Yale University School of Medicine, New Haven, CT (USA)
- Veterans Affairs Connecticut Healthcare System, West Haven, CT (USA)
| | - Devi Ojha
- Cardiovascular Molecular Imaging Laboratory, Section of Cardiovascular Medicine and Yale Cardiovascular Research Center, Yale University School of Medicine, New Haven, CT (USA)
- Veterans Affairs Connecticut Healthcare System, West Haven, CT (USA)
| | - Gunjan Kukreja
- Cardiovascular Molecular Imaging Laboratory, Section of Cardiovascular Medicine and Yale Cardiovascular Research Center, Yale University School of Medicine, New Haven, CT (USA)
- Veterans Affairs Connecticut Healthcare System, West Haven, CT (USA)
| | - Mani Salarian
- Cardiovascular Molecular Imaging Laboratory, Section of Cardiovascular Medicine and Yale Cardiovascular Research Center, Yale University School of Medicine, New Haven, CT (USA)
- Veterans Affairs Connecticut Healthcare System, West Haven, CT (USA)
| | - Hannah Luehmann
- Department of Radiology, Washington University, St. Louis, MO (USA)
| | - Gyu Seong Heo
- Department of Radiology, Washington University, St. Louis, MO (USA)
| | - Raul J. Guzman
- Division of Vascular Surgery and Endovascular Therapy, Department of Surgery, Yale School of Medicine, New Haven, CT (USA)
| | - Cassius I. Ochoa Chaar
- Division of Vascular Surgery and Endovascular Therapy, Department of Surgery, Yale School of Medicine, New Haven, CT (USA)
| | - George Tellides
- Veterans Affairs Connecticut Healthcare System, West Haven, CT (USA)
- Department of Surgery, Yale University School of Medicine, New Haven, CT (USA)
| | | | - Yunpeng Ye
- Cardiovascular Molecular Imaging Laboratory, Section of Cardiovascular Medicine and Yale Cardiovascular Research Center, Yale University School of Medicine, New Haven, CT (USA)
- Veterans Affairs Connecticut Healthcare System, West Haven, CT (USA)
| | | | - Mohamed A. Zayed
- Department of Surgery, Washington University, St. Louis, MO (USA)
| | | | - Mehran M. Sadeghi
- Cardiovascular Molecular Imaging Laboratory, Section of Cardiovascular Medicine and Yale Cardiovascular Research Center, Yale University School of Medicine, New Haven, CT (USA)
- Veterans Affairs Connecticut Healthcare System, West Haven, CT (USA)
| |
Collapse
|