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Dive into the research topics where Viviana Maestrini is active.

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Featured researches published by Viviana Maestrini.


Circulation-cardiovascular Imaging | 2013

Identification and Assessment of Anderson-Fabry Disease by Cardiovascular Magnetic Resonance Noncontrast Myocardial T1 Mapping

Daniel Sado; Steven K White; Stefan K Piechnik; Sanjay M. Banypersad; Thomas A. Treibel; Gabriella Captur; Marianna Fontana; Viviana Maestrini; Andrew S. Flett; Matthew D. Robson; Robin H. Lachmann; Elaine Murphy; Atul Mehta; Derralynn Hughes; Stefan Neubauer; Perry M. Elliott; James C. Moon

Background— Anderson-Fabry disease (AFD) is a rare but underdiagnosed intracellular lipid disorder that can cause left ventricular hypertrophy (LVH). Lipid is known to shorten the magnetic resonance imaging parameter T1. We hypothesized that noncontrast T1 mapping by cardiovascular magnetic resonance would provide a novel and useful measure in this disease with potential to detect early cardiac involvement and distinguish AFD LVH from other causes. Methods and Results— Two hundred twenty-seven subjects were studied: patients with AFD (n=44; 55% with LVH), healthy volunteers (n=67; 0% with LVH), patients with hypertension (n=41; 24% with LVH), patients with hypertrophic cardiomyopathy (n=34; 100% with LVH), those with severe aortic stenosis (n=21; 81% with LVH), and patients with definite amyloid light-chain (AL) cardiac amyloidosis (n=20; 100% with LVH). T1 mapping was performed using the shortened modified Look-Locker inversion sequence on a 1.5-T magnet before gadolinium administration with primary results derived from the basal and midseptum. Compared with health volunteers, septal T1 was lower in AFD and higher in other diseases (AFD versus healthy volunteers versus other patients, 882±47, 968±32, 1018±74 milliseconds; P<0.0001). In patients with LVH (n=105), T1 discriminated completely between AFD and other diseases with no overlap. In AFD, T1 correlated inversely with wall thickness (r=−0.51; P=0.0004) and was abnormal in 40% of subjects who did not have LVH. Segmentally, AFD showed pseudonormalization or elevation of T1 in the left ventricular inferolateral wall, correlating with the presence or absence of late gadolinium enhancement (1001±82 versus 891±38 milliseconds; P<0.0001). Conclusions— Noncontrast T1 mapping shows potential as a unique and powerful measurement in the imaging assessment of LVH and AFD.


Jacc-cardiovascular Imaging | 2014

Native T1 Mapping in Transthyretin Amyloidosis

Marianna Fontana; Sanjay M. Banypersad; Thomas A. Treibel; Viviana Maestrini; Daniel Sado; Steven K White; Silvia Pica; Silvia Castelletti; Stefan K Piechnik; Matthew D. Robson; Janet A. Gilbertson; Dorota Rowczenio; David F. Hutt; Helen J. Lachmann; Ashutosh D. Wechalekar; Carol J. Whelan; Julian D. Gillmore; Philip N. Hawkins; James C. Moon

OBJECTIVES The aims of the study were to explore the ability of native myocardial T1 mapping by cardiac magnetic resonance to: 1) detect cardiac involvement in patients with transthyretin amyloidosis (ATTR amyloidosis); 2) track the cardiac amyloid burden; and 3) detect early disease. BACKGROUND ATTR amyloidosis is an underdiagnosed cause of heart failure, with no truly quantitative test. In cardiac immunoglobulin light-chain amyloidosis (AL amyloidosis), T1 has high diagnostic accuracy and tracks disease. Here, the diagnostic role of native T1 mapping in the other key type of cardiac amyloid, ATTR amyloidosis, is assessed. METHODS A total of 3 groups were studied: ATTR amyloid patients (n = 85; 70 males, age 73 ± 10 years); healthy individuals with transthyretin mutations in whom standard cardiac investigations were normal (n = 8; 3 males, age 47 ± 6 years); and AL amyloid patients (n = 79; 55 males, age 62 ± 10 years). These were compared with 52 healthy volunteers and 46 patients with hypertrophic cardiomyopathy (HCM). All underwent T1 mapping (shortened modified look-locker inversion recovery); ATTR patients and mutation carriers also underwent cardiac 3,3-diphosphono-1,2-propanodicarboxylicacid (DPD) scintigraphy. RESULTS T1 was elevated in ATTR patients compared with HCM and normal subjects (1,097 ± 43 ms vs. 1,026 ± 64 ms vs. 967 ± 34 ms, respectively; both p < 0.0001). In established cardiac ATTR amyloidosis, T1 elevation was not as high as in AL amyloidosis (AL 1,130 ± 68 ms; p = 0.01). Diagnostic performance was similar for AL and ATTR amyloid (vs. HCM: AL area under the curve 0.84 [95% confidence interval: 0.76 to 0.92]; ATTR area under the curve 0.85 [95% confidence interval: 0.77 to 0.92]; p < 0.0001). T1 tracked cardiac amyloid burden as determined semiquantitatively by DPD scintigraphy (p < 0.0001). T1 was not elevated in mutation carriers (952 ± 35 ms) but was in isolated DPD grade 1 (n = 9, 1,037 ± 60 ms; p = 0.001). CONCLUSIONS Native myocardial T1 mapping detects cardiac ATTR amyloid with similar diagnostic performance and disease tracking to AL amyloid, but with lower maximal T1 elevation, and appears to be an early disease marker.


European Heart Journal | 2015

T1 mapping and survival in systemic light-chain amyloidosis.

Sanjay M. Banypersad; Marianna Fontana; Viviana Maestrini; Daniel Sado; Gabriella Captur; Aviva Petrie; Stefan K Piechnik; Carol J. Whelan; Anna S Herrey; Julian D. Gillmore; Helen J. Lachmann; Ashutosh D. Wechalekar; Philip N. Hawkins; James C. Moon

Aims To assess the prognostic value of myocardial pre-contrast T1 and extracellular volume (ECV) in systemic amyloid light-chain (AL) amyloidosis using cardiovascular magnetic resonance (CMR) T1 mapping. Methods and results One hundred patients underwent CMR and T1 mapping pre- and post-contrast. Myocardial ECV was calculated at contrast equilibrium (ECVi) and 15 min post-bolus (ECVb). Fifty-four healthy volunteers served as controls. Patients were followed up for a median duration of 23 months and survival analyses were performed. Mean ECVi was raised in amyloid (0.44 ± 0.12) as was ECVb (mean 0.44 ± 0.12) compared with healthy volunteers (0.25 ± 0.02), P < 0.001. Native pre-contrast T1 was raised in amyloid (mean 1080 ± 87 ms vs. 954 ± 34 ms, P < 0.001). All three correlated with pre-test probability of cardiac involvement, cardiac biomarkers, and systolic and diastolic dysfunction. During follow-up, 25 deaths occurred. An ECVi of >0.45 carried a hazard ratio (HR) for death of 3.84 [95% confidence interval (CI): 1.53–9.61], P = 0.004 and pre-contrast T1 of >1044 ms = HR 5.39 (95% CI: 1.24–23.4), P = 0.02. Extracellular volume after primed infusion and ECVb performed similarly. Isolated post-contrast T1 was non-predictive. In Cox regression models, ECVi was independently predictive of mortality (HR = 4.41, 95% CI: 1.35–14.4) after adjusting for E:E′, ejection fraction, diastolic dysfunction grade, and NT-proBNP. Conclusion Myocardial ECV (bolus or infusion technique) and pre-contrast T1 are biomarkers for cardiac AL amyloid and they predict mortality in systemic amyloidosis.


Circulation | 2015

Prognostic Value of Late Gadolinium Enhancement Cardiovascular Magnetic Resonance in Cardiac Amyloidosis

Marianna Fontana; Silvia Pica; Patricia Reant; Amna Abdel-Gadir; Thomas A. Treibel; Sanjay M. Banypersad; Viviana Maestrini; William Barcella; Stefania Rosmini; Heerajnarain Bulluck; Rabya Sayed; Ketna Patel; Shameem Mamhood; Chiara Bucciarelli-Ducci; Carol J. Whelan; Anna S Herrey; Helen J. Lachmann; Ashutosh D. Wechalekar; Charlotte Manisty; Eric B. Schelbert; Peter Kellman; Julian D. Gillmore; Philip N. Hawkins; James C. Moon

Background— The prognosis and treatment of the 2 main types of cardiac amyloidosis, immunoglobulin light chain (AL) and transthyretin (ATTR) amyloidosis, are substantially influenced by cardiac involvement. Cardiovascular magnetic resonance with late gadolinium enhancement (LGE) is a reference standard for the diagnosis of cardiac amyloidosis, but its potential for stratifying risk is unknown. Methods and Results— Two hundred fifty prospectively recruited subjects, 122 patients with ATTR amyloid, 9 asymptomatic mutation carriers, and 119 patients with AL amyloidosis, underwent LGE cardiovascular magnetic resonance. Subjects were followed up for a mean of 24±13 months. LGE was performed with phase-sensitive inversion recovery (PSIR) and without (magnitude only). These were compared with extracellular volume measured with T1 mapping. PSIR was superior to magnitude-only inversion recovery LGE because PSIR always nulled the tissue (blood or myocardium) with the longest T1 (least gadolinium). LGE was classified into 3 patterns: none, subendocardial, and transmural, which were associated with increasing amyloid burden as defined by extracellular volume (P<0.0001), with transitions from none to subendocardial LGE at an extracellular volume of 0.40 to 0.43 (AL) and 0.39 to 0.40 (ATTR) and to transmural at 0.48 to 0.55 (AL) and 0.47 to 0.59 (ATTR). Sixty-seven patients (27%) died. Transmural LGE predicted death (hazard ratio, 5.4; 95% confidence interval, 2.1–13.7; P<0.0001) and remained independent after adjustment for N-terminal pro-brain natriuretic peptide, ejection fraction, stroke volume index, E/E′, and left ventricular mass index (hazard ratio, 4.1; 95% confidence interval, 1.3–13.1; P<0.05). Conclusions— There is a continuum of cardiac involvement in systemic AL and ATTR amyloidosis. Transmural LGE is determined reliably by PSIR and represents advanced cardiac amyloidosis. The PSIR technique provides incremental information on outcome even after adjustment for known prognostic factors.


Circulation-cardiovascular Imaging | 2013

Quantification of Myocardial Extracellular Volume Fraction in Systemic AL Amyloidosis An Equilibrium Contrast Cardiovascular Magnetic Resonance Study

Sanjay M. Banypersad; Daniel Sado; Andrew S. Flett; Simon D.J. Gibbs; Jennifer H. Pinney; Viviana Maestrini; Andrew T Cox; Marianna Fontana; Carol J. Whelan; Ashutosh D. Wechalekar; Philip N. Hawkins; James C. Moon

Background— Cardiac involvement predicts outcome in systemic AL amyloidosis and influences therapeutic options. Current methods of cardiac assessment do not quantify myocardial amyloid burden. We used equilibrium contrast cardiovascular magnetic resonance (EQ-CMR) to quantify the cardiac interstitial compartment, measured as myocardial extracellular volume (ECV) fraction, hypothesizing it would reflect amyloid burden. Methods and Results— Sixty patients with systemic AL amyloidosis (65% men, median age 65 years) underwent conventional clinical cardiovascular magnetic resonance, including late enhancement, equilibrium contrast cardiovascular magnetic resonance, and clinical cardiac evaluation, including ECG, echocardiography, assays of N-terminal pro-brain natriuretic peptide and Troponin T, and functional assessment comprising the 6-minute walk test in ambulant individuals. Cardiac involvement in the amyloidosis patients was categorized as definite, probable, or none, suspected by conventional criteria. Findings were compared with 82 healthy controls. Mean ECV was significantly greater in patients than healthy controls (0.25 versus 0.40, P <0.001) and correlated with conventional criteria for characterizing the presence of cardiac involvement, the categories of none, probable, definite corresponding to ECV of 0.276 versus 0.342 versus 0.488, respectively ( P <0.001). ECV was correlated with cardiac parameters by echocardiography (eg, Tissue Doppler Imaging [TDI] S-wave R=0.52, P<0.001) and conventional cardiovascular magnetic resonance (eg, indexed left ventricular mass R =0.56, P <0.001). There were also significant correlations with N-terminal pro-brain natriuretic peptide ( R =0.69, P <0.001) and Troponin T ( R =0.53, P =0.006). ECV was associated with smaller QRS voltages ( R =0.57, P <0.001) and correlated with poorer performance in the 6-minute walk test ( R =0.36, P =0.03). Conclusions— Myocardial ECV measurement has potential to become the first noninvasive test to quantify cardiac amyloid burden.


Journal of Cardiovascular Magnetic Resonance | 2012

Comparison of T1 mapping techniques for ECV quantification. Histological validation and reproducibility of ShMOLLI versus multibreath-hold T1 quantification equilibrium contrast CMR

Marianna Fontana; Steve K White; Sanjay M. Banypersad; Daniel Sado; Viviana Maestrini; Andrew S. Flett; Stefan K Piechnik; Stefan Neubauer; Neil Roberts; James C. Moon

BackgroundMyocardial extracellular volume (ECV) is elevated in fibrosis or infiltration and can be quantified by measuring the haematocrit with pre and post contrast T1 at sufficient contrast equilibrium. Equilibrium CMR (EQ-CMR), using a bolus-infusion protocol, has been shown to provide robust measurements of ECV using a multibreath-hold T1 pulse sequence. Newer, faster sequences for T1 mapping promise whole heart coverage and improved clinical utility, but have not been validated.MethodsMultibreathhold T1 quantification with heart rate correction and single breath-hold T1 mapping using Shortened Modified Look-Locker Inversion recovery (ShMOLLI) were used in equilibrium contrast CMR to generate ECV values and compared in 3 ways.Firstly, both techniques were compared in a spectrum of disease with variable ECV expansion (n=100, 50 healthy volunteers, 12 patients with hypertrophic cardiomyopathy, 18 with severe aortic stenosis, 20 with amyloid). Secondly, both techniques were correlated to human histological collagen volume fraction (CVF%, n=18, severe aortic stenosis biopsies). Thirdly, an assessment of test:retest reproducibility of the 2 CMR techniques was performed 1 week apart in individuals with widely different ECVs (n=10 healthy volunteers, n=7 amyloid patients).ResultsMore patients were able to perform ShMOLLI than the multibreath-hold technique (6% unable to breath-hold). ECV calculated by multibreath-hold T1 and ShMOLLI showed strong correlation (r2=0.892), little bias (bias -2.2%, 95%CI -8.9% to 4.6%) and good agreement (ICC 0.922, range 0.802 to 0.961, p<0.0001). ECV correlated with histological CVF% by multibreath-hold ECV (r2= 0.589) but better by ShMOLLI ECV (r2= 0.685). Inter-study reproducibility demonstrated that ShMOLLI ECV trended towards greater reproducibility than the multibreath-hold ECV, although this did not reach statistical significance (95%CI -4.9% to 5.4% versus 95%CI -6.4% to 7.3% respectively, p=0.21).ConclusionsECV quantification by single breath-hold ShMOLLI T1 mapping can measure ECV by EQ-CMR across the spectrum of interstitial expansion. It is procedurally better tolerated, slightly more reproducible and better correlates with histology compared to the older multibreath-hold FLASH techniques.


Journal of Cardiovascular Magnetic Resonance | 2013

Normal variation of magnetic resonance T1 relaxation times in the human population at 1.5 T using ShMOLLI

Stefan K Piechnik; Vanessa M Ferreira; Adam J. Lewandowski; Ntobeko Ntusi; Rajarshi Banerjee; Cameron Holloway; Mark B.M. Hofman; Daniel Sado; Viviana Maestrini; Steven K White; Merzaka Lazdam; Theodoros D. Karamitsos; James C. Moon; Stefan Neubauer; Paul Leeson; Matthew D. Robson

BackgroundQuantitative T1-mapping is rapidly becoming a clinical tool in cardiovascular magnetic resonance (CMR) to objectively distinguish normal from diseased myocardium. The usefulness of any quantitative technique to identify disease lies in its ability to detect significant differences from an established range of normal values. We aimed to assess the variability of myocardial T1 relaxation times in the normal human population estimated with recently proposed Shortened Modified Look-Locker Inversion recovery (ShMOLLI) T1 mapping technique.MethodsA large cohort of healthy volunteers (n = 342, 50% females, age 11–69 years) from 3 clinical centres across two countries underwent CMR at 1.5T. Each examination provided a single average myocardial ShMOLLI T1 estimate using manually drawn myocardial contours on typically 3 short axis slices (average 3.4 ± 1.4), taking care not to include any blood pool in the myocardial contours. We established the normal reference range of myocardial and blood T1 values, and assessed the effect of potential confounding factors, including artefacts, partial volume, repeated measurements, age, gender, body size, hematocrit and heart rate.ResultsNative myocardial ShMOLLI T1 was 962 ± 25 ms. We identify the partial volume as primary source of potential error in the analysis of respective T1 maps and use 1 pixel erosion to represent “midwall myocardial” T1, resulting in a 0.9% decrease to 953 ± 23 ms. Midwall myocardial ShMOLLI T1 was reproducible with an intra-individual, intra- and inter-scanner variability of ≤2%. The principle biological parameter influencing myocardial ShMOLLI T1 was the female gender, with female T1 longer by 24 ms up to the age of 45 years, after which there was no significant difference from males. After correction for age and gender dependencies, heart rate was the only other physiologic factor with a small effect on myocardial ShMOLLI T1 (6ms/10bpm). Left and right ventricular blood ShMOLLI T1 correlated strongly with each other and also with myocardial T1 with the slope of 0.1 that is justifiable by the resting partition of blood volume in myocardial tissue. Overall, the effect of all variables on myocardial ShMOLLI T1 was within 2% of relative changes from the average.ConclusionNative T1-mapping using ShMOLLI generates reproducible and consistent results in normal individuals within 2% of relative changes from the average, well below the effects of most acute forms of myocardial disease. The main potential confounder is the partial volume effect arising from over-inclusion of neighbouring tissue at the manual stages of image analysis. In the study of cardiac conditions such as diffuse fibrosis or small focal changes, the use of “myocardial midwall” T1, age and gender matching, and compensation for heart rate differences may all help to improve the method sensitivity in detecting subtle changes. As the accuracy of current T1 measurement methods remains to be established, this study does not claim to report an accurate measure of T1, but that ShMOLLI is a stable and reproducible method for T1-mapping.


Journal of Magnetic Resonance Imaging | 2015

Noncontrast myocardial T1 mapping using cardiovascular magnetic resonance for iron overload

Daniel Sado; Viviana Maestrini; Stefan K Piechnik; Sanjay M. Banypersad; Steven K White; Andrew S. Flett; Matthew D. Robson; Stefan Neubauer; Cono Ariti; Andrew E. Arai; Peter Kellman; Jin Yamamura; Bjoern P. Schoennagel; Farrukh Shah; Bernard A. Davis; Sara Trompeter; Malcolm Walker; John B. Porter; James C. Moon

To explore the use and reproducibility of magnetic resonance‐derived myocardial T1 mapping in patients with iron overload.


Circulation | 2015

Myocardial T1 Mapping - Hope or Hype? -

Heerajnarain Bulluck; Viviana Maestrini; Stefania Rosmini; Amna Abdel-Gadir; Thomas A. Treibel; Silvia Castelletti; Chiara Bucciarelli-Ducci; Charlotte Manisty; James C. Moon

Cardiovascular magnetic resonance is a well-established tool for the quantification of focal fibrosis. With the introduction of T1 mapping, diffuse myocardial processes can be detected and quantified. In particular, infiltration and storage disorders with large disease-related changes, and diffuse fibrosis where measurement is harder but the potential impact larger. This has added a new dimension to the understanding and assessment of various myocardial diseases. T1 mapping promises to detect early disease, quantify disease severity and provide prognostic insights into certain conditions. It also has the potential to be a robust surrogate marker in drug development trials to monitor therapeutic response and be a prognostic marker in certain diseases. T1 mapping is an evolving field and numerous factors currently preclude its standardization. In this review, we describe the current status of T1 mapping and its potential promises and pitfalls.


Circulation-cardiovascular Genetics | 2014

Abnormal Cardiac Formation in Hypertrophic Cardiomyopathy Fractal Analysis of Trabeculae and Preclinical Gene Expression

Gabriella Captur; Luís Rocha Lopes; Vimal Patel; Chunming Li; Paul Bassett; Petros Syrris; Daniel Sado; Viviana Maestrini; Timothy J. Mohun; William J. McKenna; Vivek Muthurangu; Perry M. Elliott; James C. Moon

Background—Mutations in genes coding for sarcomeric proteins cause hypertrophic cardiomyopathy. Subtle abnormalities of the myocardium may be present in mutation carriers without left ventricular hypertrophy (G+LVH−) but are difficult to quantify. Fractal analysis has been used to define trabeculae in left ventricular noncompaction and to identify normal racial variations. We hypothesized that trabeculae measured by fractal analysis of cardiovascular magnetic resonance images are abnormal in G+LVH− patients, providing a preclinical marker of disease in hypertrophic cardiomyopathy. Methods and Results—Cardiovascular magnetic resonance was performed on 40 G+LVH− patients (33±15 years, 38% men), 67 patients with a clinical diagnosis of hypertrophic cardiomyopathy (53±15 years, 76% men; 31 with a pathogenic mutation [G+LVH+]), and 69 matched healthy volunteers (44±15 years, 57% men). Trabeculae were quantified by fractal analysis of cine slices to calculate the fractal dimension, a unitless index of endocardial complexity calculated from endocardial contours after segmentation. In G+LVH− patients, apical left ventricular trabeculation was increased compared with controls (maximal apical fractal dimension, 1.249±0.07 versus 1.199±0.05; P=0.001). In G+LVH+ and G−LVH+ cohorts, maximal apical fractal dimension was greater than in controls (P<0.0001) irrespective of gene status (G+LVH+: 1.370±0.08; G−LVH+: 1.380±0.09). Compared with controls, G+LVH− patients also had a higher frequency of clefts (28% versus 8%; P=0.02), longer anterior mitral valve leaflets (23.5±3.0 versus 19.7±3.1 mm; P<0.0001), greater septal systolic wall thickness (12.6±3.2 versus 11.2±2.1 mm; P=0.03), higher ejection fraction (71±4% versus 69±4%; P=0.03), and smaller end-systolic volumes (38±9 versus 43±12 mL; P=0.03). Conclusions—Increased myocardial trabecular complexity is one of several preclinical abnormalities in hypertrophic cardiomyopathy sarcomere gene mutation carriers without LVH.Background— Mutations in genes coding for sarcomeric proteins cause hypertrophic cardiomyopathy. Subtle abnormalities of the myocardium may be present in mutation carriers without left ventricular hypertrophy (G+LVH−) but are difficult to quantify. Fractal analysis has been used to define trabeculae in left ventricular noncompaction and to identify normal racial variations. We hypothesized that trabeculae measured by fractal analysis of cardiovascular magnetic resonance images are abnormal in G+LVH− patients, providing a preclinical marker of disease in hypertrophic cardiomyopathy. Methods and Results— Cardiovascular magnetic resonance was performed on 40 G+LVH− patients (33±15 years, 38% men), 67 patients with a clinical diagnosis of hypertrophic cardiomyopathy (53±15 years, 76% men; 31 with a pathogenic mutation [G+LVH+]), and 69 matched healthy volunteers (44±15 years, 57% men). Trabeculae were quantified by fractal analysis of cine slices to calculate the fractal dimension, a unitless index of endocardial complexity calculated from endocardial contours after segmentation. In G+LVH− patients, apical left ventricular trabeculation was increased compared with controls (maximal apical fractal dimension, 1.249±0.07 versus 1.199±0.05; P =0.001). In G+LVH+ and G−LVH+ cohorts, maximal apical fractal dimension was greater than in controls ( P <0.0001) irrespective of gene status (G+LVH+: 1.370±0.08; G−LVH+: 1.380±0.09). Compared with controls, G+LVH− patients also had a higher frequency of clefts (28% versus 8%; P =0.02), longer anterior mitral valve leaflets (23.5±3.0 versus 19.7±3.1 mm; P <0.0001), greater septal systolic wall thickness (12.6±3.2 versus 11.2±2.1 mm; P =0.03), higher ejection fraction (71±4% versus 69±4%; P =0.03), and smaller end-systolic volumes (38±9 versus 43±12 mL; P =0.03). Conclusions— Increased myocardial trabecular complexity is one of several preclinical abnormalities in hypertrophic cardiomyopathy sarcomere gene mutation carriers without LVH.

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James C. Moon

University College London

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Daniel Sado

University College London

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Steven K White

University College London

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Anna S Herrey

University College London

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Andrew S. Flett

University College London

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