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Durrand J, Reicher J, Ayyash R. Vascular imaging for anaesthetists and intensivists, part 2: clinical applications. BJA Educ 2022; 22:376-386. [PMID: 36132881 PMCID: PMC9482869 DOI: 10.1016/j.bjae.2022.05.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/24/2022] [Indexed: 10/15/2022] Open
Affiliation(s)
- J. Durrand
- James Cook University Hospital, Middlesbrough, UK
| | - J. Reicher
- Freeman Hospital, Newcastle Upon Tyne, UK
| | - R. Ayyash
- James Cook University Hospital, Middlesbrough, UK
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Truong M, Håkansson C, HaileMichael M, Svensson J, Lätt J, Markenroth Bloch K, Siemund R, Gonçalves I, Wassélius J. The potential role of T2*-weighted multi-echo data image combination as an imaging marker for intraplaque hemorrhage in carotid plaque imaging. BMC Med Imaging 2021; 21:121. [PMID: 34380454 PMCID: PMC8356411 DOI: 10.1186/s12880-021-00652-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 07/14/2021] [Indexed: 01/14/2023] Open
Abstract
Background Carotid atherosclerotic plaques with intraplaque hemorrhage (IPH) are associated with elevated stroke risk. IPH is predominantly imaged based on paramagnetic properties of the upstream hemoglobin degradation product methemoglobin. This is an explorative observational study to test the feasibility of a spoiled gradient echo based T2* weighted MRI sequence (3D MEDIC) for carotid plaque imaging, and to compare signs suggestive of the downstream degradation product hemosiderin on 3D MEDIC with signs of methemoglobin on a T1wBB sequence.
Methods Patients with recent TIA or stroke were selected based on the presence on non-calcified plaque components on CTA to promote an enriched prevalence of IPH in the material. Patients (n = 42) underwent 3T MRI with 3D MEDIC and 2D turbo spin echo T1w black blood (T1wBB). Images were independently evaluated by two neuroradiologists and Cohens Kappa was used for inter-reader agreement for each sequence. Results The technical feasibility for 3D MEDIC, was 34/42 patients (81%). Non-calcified plaque components with susceptibility effect without simultaneous T1-shortening—a combination suggestive of hemosiderin, was seen in 13/34 of the plaques. An equally large group display elevated T1w signal in combination with signal loss on 3D MEDIC, a combination suggestive of both hemosiderin and methemoglobin. Cohen’s kappa for inter-reader agreement was 0.64 (CI 0.345–0.925) for 3D MEDIC and 0.94 (CI 0.81–1.00) for T1wBB. Conclusions 3D MEDIC shows signal loss, without elevated T1w signal on T1wBB, in non-calcified tissue in many plaques in this group of patients. If further studies, including histological verification, confirm that the 3D MEDIC susceptibility effect is indeed caused by hemosiderin, 3D MEDIC could aid in the detection of IPH, beyond elevation of T1w signal.
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Affiliation(s)
- My Truong
- Department of Medical Imaging and Physiology, Skåne University Hospital, Lund, Sweden.,Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Claes Håkansson
- Department of Medical Imaging and Physiology, Skåne University Hospital, Lund, Sweden.,Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Makda HaileMichael
- Department of Medical Imaging and Physiology, Skåne University Hospital, Lund, Sweden
| | - Jonas Svensson
- Department of Medical Imaging and Physiology, Skåne University Hospital, Lund, Sweden.,Medical Radiation Physics, Department of Translational Medicine, Lund University , Lund, Sweden
| | - Jimmy Lätt
- Department of Medical Imaging and Physiology, Skåne University Hospital, Lund, Sweden
| | | | - Roger Siemund
- Department of Medical Imaging and Physiology, Skåne University Hospital, Lund, Sweden.,Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Isabel Gonçalves
- Department of Clinical Sciences, Lund University, Malmö, Sweden.,Department of Cardiology, Skåne University Hospital, Malmö , Sweden
| | - Johan Wassélius
- Department of Medical Imaging and Physiology, Skåne University Hospital, Lund, Sweden. .,Department of Clinical Sciences, Lund University, Lund, Sweden. .,Department of Radiology, Skåne University Hospital, 221 85, Lund, Sweden.
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Abstract
Current risk stratification for stroke is still based upon percentage of carotid stenosis, despite this measure providing minimal patient-specific information on the actual risk of stroke for both symptomatic individuals without significant carotid artery stenosis as well as asymptomatic carotid stenosis patients. A continuously growing body of literature suggests that the identification and quantification of certain carotid plaque characteristics, including lipid-rich necrotic core (LRNC), thin/ruptured fibrous cap (FC), and intraplaque hemorrhage (IPH), provide a superior means of predicting future stroke. These characteristics are identifiable via magnetic resonance imaging (MRI), with most features detectable using commercially available coils and sequences utilized in routine clinical practice in as little as 4 minutes. The presence of LRNC, a thin/ruptured FC, and IPH is associated with increased risk of future stroke or TIA. Plaques with greater than 40% LRNC with a thin overlying FC are prone to rupture. LRNC is T2 hypointense and lacks enhancement on contrast enhanced T1 weighted images. Increasing LRNC size is associated with the development of new ulceration, FC rupture, increasing plaque burden, as well as fatal and nonfatal myocardial infarction, ischemic stroke, hospitalization for acute coronary syndrome (ACS), and symptom-driven revascularization, allowing for MR biomarkers of carotid plaque vulnerability to be utilized for systemic athero-thrombotic risk and not just stroke/TIA. LRNC typically shrinks with appropriate statin therapy, with PCSK9 inhibitors possibly playing a role in patients with inadequate response. Carotid plaques with IPH represent a more advanced stage of atherosclerotic disease. IPH is detectable with field strengths of both 3.0 T and 1.5 T and will demonstrate high signal on all T1 weighted imaging sequences. The presence of IPH increases the risk of future stroke in both symptomatic and asymptomatic patients, with multivariate analysis identifying IPH as a predictor of stroke, independent of percent stenosis, with no statistical difference in men vs. women, demonstrating that simple carotid stenosis measurements and traditional risk factor analysis may be inadequate in identifying patients at the highest risk for adverse cerebrovascular events. In the evaluation for recurrent stroke in recently symptomatic patients with >50% carotid stenosis, the estimated annual stroke risk is 23.2% in IPH+ patients and only 0.6% in IPH- patients, calling into question the current risk-benefit assessment for CEA. Additionally, a recent meta-analysis suggests that IPH+ plaque in patients with symptomatic <50% stenosis may be the etiology of embolic strokes previously labeled as "embolic stroke of undetermined source" (ESUS). There are no prospective drug trials testing the ability of any lipid-lowering therapies to decrease IPH and/or total plaque volume (TPV). Given the continuously increasing evidence of IPH as a significant predictor of carotid plaque progression and future adverse vascular events, trials aimed at targeted therapy for IPH represents a significant need.
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Affiliation(s)
- Michael E Porambo
- Department of Radiology, Walter Reed National Military Medical Center, Bethesda, MD, USA
| | - J Kevin DeMarco
- Department of Radiology, Walter Reed National Military Medical Center, Bethesda, MD, USA.,Department of Radiology, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
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Liu H, Sun J, Hippe DS, Wu W, Chu B, Balu N, Hatsukami T, Yuan C. Improved carotid lumen delineation on non-contrast MR angiography using SNAP (Simultaneous Non-Contrast Angiography and Intraplaque Hemorrhage) imaging. Magn Reson Imaging 2019; 62:87-93. [PMID: 31247251 DOI: 10.1016/j.mri.2019.06.012] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Revised: 06/20/2019] [Accepted: 06/22/2019] [Indexed: 01/02/2023]
Abstract
PURPOSE Simultaneous Non-Contrast Angiography and Intraplaque Hemorrhage (SNAP) was developed for improved imaging of intraplaque hemorrhage (IPH). Its signal polarity also allows for non-contrast time-of-flight MR angiography (TOF). This study sought to compare SNAP and TOF in delineating carotid lumen using contrast-enhanced MRA (CE-MRA) as the reference standard. MATERIALS AND METHODS Two hundred and eighty-nine matched slices from 15 arteries among 11 subjects (9 males and 2 females, mean age of 72.1 ± 8.6 years) with luminal stenosis on CE-MRA were studied. Cross-sectional slices centered around the carotid bifurcation were matched between the three MRA techniques (SNAP, TOF, and CE-MRA) and classified as slices with or without plaque (focal wall thickness ≥ 1.5 mm) by additional black-blood vessel wall MRI. Lumen area was measured using a Sobel gradient map for TOF and CE-MRA (magnitude images) and a polarity map for SNAP. Agreement between techniques for measuring lumen area and percent stenosis was evaluated using intraclass correlation coefficient (ICC) and paired t-test. RESULTS Among the 289 matched slices, SNAP showed a higher agreement with CE-MRA than TOF for measuring lumen area (ICC: 0.93 vs. 0.83; p = 0.03). Agreement with CE-MRA was high for both SNAP and TOF in slices without plaque (ICC: 0.91 vs. 0.89; p > 0.05) but favored SNAP over TOF in slices with plaque (ICC: 0.93 vs. 0.80; p = 0.02). CONCLUSION SNAP, assisted by signal polarity information, demonstrated a higher agreement with CE-MRA in delineating carotid lumen compared to TOF, particularly in slices with plaque where flow conditions may be more complex.
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Affiliation(s)
- Haining Liu
- Department of Radiology, University of Washington, Seattle, WA 98109, United States.
| | - Jie Sun
- Department of Radiology, University of Washington, Seattle, WA 98109, United States
| | - Daniel S Hippe
- Department of Radiology, University of Washington, Seattle, WA 98109, United States
| | - Wei Wu
- Department of Radiology, University of Washington, Seattle, WA 98109, United States; Tongji Hospital, Tongji Medical College Affiliated to Huazhong University of Science and Technology, Department of Radiology, 1095 Jiefang Avenue, Wuhan 430000, China
| | - Baocheng Chu
- Department of Radiology, University of Washington, Seattle, WA 98109, United States
| | - Niranjan Balu
- Department of Radiology, University of Washington, Seattle, WA 98109, United States
| | - Thomas Hatsukami
- Department of Surgery, University of Washington, Seattle, WA 98109, United States
| | - Chun Yuan
- Department of Radiology, University of Washington, Seattle, WA 98109, United States; Department of Bioengineering, University of Washington, Seattle, WA 98109, United States; Department of Bioengineering, Tsinghua University, Beijing 100084, China
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Singh N, Moody AR, Panzov V, Gladstone DJ. Carotid Intraplaque Hemorrhage in Patients with Embolic Stroke of Undetermined Source. J Stroke Cerebrovasc Dis 2018; 27:1956-1959. [DOI: 10.1016/j.jstrokecerebrovasdis.2018.02.042] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2017] [Revised: 02/10/2018] [Accepted: 02/19/2018] [Indexed: 11/27/2022] Open
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Singh N, Moody AR, Zhang B, Kaminski I, Kapur K, Chiu S, Tyrrell PN. Age-Specific Sex Differences in Magnetic Resonance Imaging-Depicted Carotid Intraplaque Hemorrhage. Stroke 2017; 48:2129-2135. [PMID: 28706117 DOI: 10.1161/strokeaha.117.017877] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2017] [Revised: 05/29/2017] [Accepted: 06/12/2017] [Indexed: 01/10/2023]
Abstract
BACKGROUND AND PURPOSE Stroke rates are higher in men compared with women in the fourth through seventh decades of life, and higher rates may result from differences in carotid intraplaque hemorrhage (IPH), an unstable atherosclerotic plaque component. We report age-specific sex differences in the presence of magnetic resonance imaging-depicted carotid IPH. METHODS Patients (n=1115) underwent magnetic resonance imaging for carotid IPH between 2005 and 2014. Low-grade carotid stenosis patients (n=906) without prior endarterectomy were eligible for this cross-sectional study. RESULTS Of the 906 patients included (mean age±SD in years, 66.98±15.15), 63 (6.95%) had carotid IPH. In men and women, carotid IPH was present in 11.43% (48 of 420) and 3.09% (15 of 486), respectively (P<0.0001). Multivariable logistic regression analysis confirmed greater odds of carotid IPH in men for all ages: 45 to 54 (odds ratio=45.45; 95% confidence interval, 3.43-500), 55 to 64 years (odds ratio=21.74; 95% confidence interval, 3.21-142.86), 65 to 74 years (odds ratio=10.42; 95% confidence interval, 2.91-37.04), and ≥75 years (odds ratio=5.00; 95% confidence interval, 2.31-10.75). Male sex modified the effect of age on the presence of carotid IPH (β=0.074; SE=0.036; P=0.0411). CONCLUSIONS Men have greater age-specific odds of magnetic resonance imaging-depicted carotid IPH compared with women. With increasing age post-menopause, the odds of carotid IPH in women becomes closer to that of men. Delayed onset of carotid IPH in women, an unstable plaque component, may partly explain differential stroke rates between sexes, and further studies are warranted.
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Affiliation(s)
- Navneet Singh
- From the Department of Medical Imaging, Faculty of Medicine (N.S., A.R.M., B.Z., I.K., S.C., P.N.T.) and Department of Statistical Sciences (P.N.T.), University of Toronto, Ontario, Canada; and Department of Neurology, Boston Children's Hospital, Harvard Medical School, MA (K.K.)
| | - Alan R Moody
- From the Department of Medical Imaging, Faculty of Medicine (N.S., A.R.M., B.Z., I.K., S.C., P.N.T.) and Department of Statistical Sciences (P.N.T.), University of Toronto, Ontario, Canada; and Department of Neurology, Boston Children's Hospital, Harvard Medical School, MA (K.K.).
| | - Bowen Zhang
- From the Department of Medical Imaging, Faculty of Medicine (N.S., A.R.M., B.Z., I.K., S.C., P.N.T.) and Department of Statistical Sciences (P.N.T.), University of Toronto, Ontario, Canada; and Department of Neurology, Boston Children's Hospital, Harvard Medical School, MA (K.K.)
| | - Isabella Kaminski
- From the Department of Medical Imaging, Faculty of Medicine (N.S., A.R.M., B.Z., I.K., S.C., P.N.T.) and Department of Statistical Sciences (P.N.T.), University of Toronto, Ontario, Canada; and Department of Neurology, Boston Children's Hospital, Harvard Medical School, MA (K.K.)
| | - Kush Kapur
- From the Department of Medical Imaging, Faculty of Medicine (N.S., A.R.M., B.Z., I.K., S.C., P.N.T.) and Department of Statistical Sciences (P.N.T.), University of Toronto, Ontario, Canada; and Department of Neurology, Boston Children's Hospital, Harvard Medical School, MA (K.K.)
| | - Stephanie Chiu
- From the Department of Medical Imaging, Faculty of Medicine (N.S., A.R.M., B.Z., I.K., S.C., P.N.T.) and Department of Statistical Sciences (P.N.T.), University of Toronto, Ontario, Canada; and Department of Neurology, Boston Children's Hospital, Harvard Medical School, MA (K.K.)
| | - Pascal N Tyrrell
- From the Department of Medical Imaging, Faculty of Medicine (N.S., A.R.M., B.Z., I.K., S.C., P.N.T.) and Department of Statistical Sciences (P.N.T.), University of Toronto, Ontario, Canada; and Department of Neurology, Boston Children's Hospital, Harvard Medical School, MA (K.K.)
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Shu H, Sun J, Hatsukami TS, Balu N, Hippe DS, Liu H, Kohler TR, Zhu W, Yuan C. Simultaneous noncontrast angiography and intraplaque hemorrhage (SNAP) imaging: Comparison with contrast-enhanced MR angiography for measuring carotid stenosis. J Magn Reson Imaging 2017; 46:1045-1052. [PMID: 28165646 DOI: 10.1002/jmri.25653] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2016] [Accepted: 01/12/2017] [Indexed: 11/09/2022] Open
Abstract
PURPOSE To evaluate in a proof-of-concept study the feasibility of Simultaneous Noncontrast Angiography and intraPlaque hemorrhage (SNAP) imaging as a clinical magnetic resonance angiography (MRA) technique for measuring carotid stenosis. There is a growing interest in detecting intraplaque hemorrhage (IPH) during the clinical management of carotid disease, yet luminal stenosis has remained indispensable during clinical decision-making. SNAP imaging has been proposed as a novel IPH imaging technique that provides carotid MRA with no added scan time. Flowing blood shows negative signal on SNAP because of phase-sensitive inversion recovery. MATERIALS AND METHODS In all, 58 asymptomatic subjects with 16-79% stenosis on ultrasound were scanned at 3T by SNAP with 0.8 mm isotropic resolution and 16 cm longitudinal coverage. Two readers measured luminal stenosis of bilateral carotid arteries (n = 116) on minimum intensity projections of SNAP using the NASCET criteria. In the subset (48 arteries) with contrast-enhanced (CE) MRA available for comparison, luminal stenosis was also measured on maximum intensity projections of CE-MRA. RESULTS Intraclass correlation coefficients (ICCs) with 95% confidence intervals were 0.94 (0.90-0.96) and 0.93 (0.88-0.96) for intra- and interreader agreement on stenosis measurements, respectively. Corresponding kappas for grading stenosis (0-29%, 30-69%, 70-99%, and 100%) were 0.79 (0.67-0.89) and 0.80 (0.68-0.90). Agreement between SNAP and CE-MRA was high (ICC: 0.95 [0.90-0.98]; kappa: 0.82 [0.71-0.93]). CONCLUSION As a dedicated IPH-imaging sequence, SNAP also provided carotid stenosis measurement that showed high intra- and interreader consistency and excellent agreement with CE-MRA. Further comparisons with digital subtraction angiography and other noninvasive techniques are warranted. LEVEL OF EVIDENCE 2 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2017;46:1045-1052.
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Affiliation(s)
- Hongge Shu
- Department of Radiology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China.,Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Jie Sun
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Thomas S Hatsukami
- Department of Surgery, University of Washington, Seattle, Washington, USA
| | - Niranjan Balu
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Daniel S Hippe
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Haining Liu
- Department of Bioengineering, University of Washington, Seattle, Washington, USA
| | - Ted R Kohler
- Department of Surgery, University of Washington, Seattle, Washington, USA.,Surgery and Perioperative Care, VA Puget Sound Health Care System, Seattle, Washington, USA
| | - Wenzhen Zhu
- Department of Radiology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Chun Yuan
- Department of Radiology, University of Washington, Seattle, Washington, USA.,Department of Bioengineering, University of Washington, Seattle, Washington, USA
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Chiavaroli L, Mirrahimi A, Ireland C, Mitchell S, Sahye-Pudaruth S, Coveney J, Olowoyeye O, Maraj T, Patel D, de Souza RJ, Augustin LSA, Bashyam B, Blanco Mejia S, Nishi SK, Leiter LA, Josse RG, McKeown-Eyssen G, Moody AR, Berger AR, Kendall CWC, Sievenpiper JL, Jenkins DJA. Low-glycaemic index diet to improve glycaemic control and cardiovascular disease in type 2 diabetes: design and methods for a randomised, controlled, clinical trial. BMJ Open 2016; 6:e012220. [PMID: 27388364 PMCID: PMC4947767 DOI: 10.1136/bmjopen-2016-012220] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2016] [Revised: 05/31/2016] [Accepted: 06/03/2016] [Indexed: 12/25/2022] Open
Abstract
INTRODUCTION Type 2 diabetes (T2DM) produces macrovascular and microvascular damage, significantly increasing the risk of cardiovascular disease (CVD), renal failure and blindness. As rates of T2DM rise, the need for effective dietary and other lifestyle changes to improve diabetes management become more urgent. Low-glycaemic index (GI) diets may improve glycaemic control in diabetes in the short term; however, there is a lack of evidence on the long-term adherence to low-GI diets, as well as on the association with surrogate markers of CVD beyond traditional risk factors. Recently, advances have been made in measures of subclinical arterial disease through the use of MRI, which, along with standard measures from carotid ultrasound (CUS) scanning, have been associated with CVD events. We therefore designed a randomised, controlled, clinical trial to assess whether low-GI dietary advice can significantly improve surrogate markers of CVD and long-term glycaemic control in T2DM. METHODS AND ANALYSIS 169 otherwise healthy individuals with T2DM were recruited to receive intensive counselling on a low-GI or high-cereal fibre diet for 3 years. To assess macrovascular disease, MRI and CUS are used, and to assess microvascular disease, retinal photography and 24-hour urinary collections are taken at baseline and years 1 and 3. Risk factors for CVD are assessed every 3 months. ETHICS AND DISSEMINATION The study protocol and consent form have been approved by the research ethics board of St. Michael's Hospital. If the study shows a benefit, these data will support the use of low-GI and/or high-fibre foods in the management of T2DM and its complications. TRIAL REGISTRATION NUMBER NCT01063374; Pre-results.
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Affiliation(s)
- Laura Chiavaroli
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Arash Mirrahimi
- Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, Ontario, Canada Faculty of Health Sciences, School of Medicine, Queen's University, Kingston, Ontario, Canada
| | - Christopher Ireland
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Sandra Mitchell
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Sandhya Sahye-Pudaruth
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Judy Coveney
- Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Omodele Olowoyeye
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Tishan Maraj
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Darshna Patel
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Russell J de Souza
- Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, Ontario, Canada Department of Clinical Epidemiology and Biostatistics, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Livia S A Augustin
- Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, Ontario, Canada National Cancer Institute "Fondazione G. Pascale", Naples, Italy
| | - Balachandran Bashyam
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Sonia Blanco Mejia
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Stephanie K Nishi
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Lawrence A Leiter
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Robert G Josse
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Gail McKeown-Eyssen
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Alan R Moody
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Alan R Berger
- Department of Ophthalmology, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Cyril W C Kendall
- Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, Ontario, Canada College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - John L Sievenpiper
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, Ontario, Canada
| | - David J A Jenkins
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, Ontario, Canada
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