Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Paul Hughes is active.

Publication


Featured researches published by Paul Hughes.


Thorax | 2017

Detection of early sub-clinical lung disease in children with cystic fibrosis by lung ventilation imaging with hyperpolarized gas MRI

Helen Marshall; Alex Horsley; Christopher J. Taylor; Laurie Smith; David Hughes; Felix Horn; Andrew J. Swift; Juan Parra-Robles; Paul Hughes; Graham Norquay; Neil J. Stewart; Guilhem Collier; Dawn Teare; Steve Cunningham; Ina Aldag; Jim M. Wild

Hyperpolarised 3He ventilation-MRI, anatomical lung MRI, lung clearance index (LCI), low-dose CT and spirometry were performed on 19 children (6–16 years) with clinically stable mild cystic fibrosis (CF) (FEV1>−1.96), and 10 controls. All controls had normal spirometry, MRI and LCI. Ventilation-MRI was the most sensitive method of detecting abnormalities, present in 89% of patients with CF, compared with CT abnormalities in 68%, LCI 47% and conventional MRI 22%. Ventilation defects were present in the absence of CT abnormalities and in patients with normal physiology, including LCI. Ventilation-MRI is thus feasible in young children, highly sensitive and provides additional information about lung structure–function relationships.


Journal of Magnetic Resonance Imaging | 2018

Comparison of 3He and 129Xe MRI for evaluation of lung microstructure and ventilation at 1.5T: 3He and 129Xe Lung MRI at 1.5T

Neil J. Stewart; Ho-Fung Chan; Paul Hughes; Felix Horn; Graham Norquay; Madhwesha Rao; Denise Yates; Rob H. Ireland; M.Q. Hatton; Bilal Tahir; Paul Ford; Andrew J. Swift; Rod Lawson; Helen Marshall; Guilhem Collier; Jim M. Wild

To support translational lung MRI research with hyperpolarized 129Xe gas, comprehensive evaluation of derived quantitative lung function measures against established measures from 3He MRI is required. Few comparative studies have been performed to date, only at 3T, and multisession repeatability of 129Xe functional metrics have not been reported.


Journal of Magnetic Resonance Imaging | 2018

Spatial fuzzy c-means thresholding for semiautomated calculation of percentage lung ventilated volume from hyperpolarized gas and (1) H MRI

Paul Hughes; Felix Horn; Guilhem Collier; Alberto Biancardi; Helen Marshall; Jim M. Wild

To develop an image‐processing pipeline for semiautomated (SA) and reproducible analysis of hyperpolarized gas lung ventilation and proton anatomical magnetic resonance imaging (MRI) scan pairs. To compare results from the software for total lung volume (TLV), ventilated volume (VV), and percentage lung ventilated volume (%VV) calculation to the current manual “basic” method and a K‐means segmentation method.


European Journal of Radiology | 2017

Pulmonary MR angiography and perfusion imaging—A review of methods and applications

Christopher S. Johns; Andrew J. Swift; Paul Hughes; Yoshiharu Ohno; Mark L. Schiebler; Jim M. Wild

The pulmonary vasculature and its role in perfusion and gas exchange is an important consideration in many conditions of the lung and heart. Currently the mainstay of imaging of the vasculature and perfusion of the lungs lies with CT and nuclear medicine perfusion scans, both of which require ionizing radiation exposure. Improvements in MRI techniques have increased the use of MRI in pulmonary vascular imaging. Here we review MRI methods for imaging the pulmonary vasculature and pulmonary perfusion, both using contrast enhanced and non-contrast enhanced methodology. In many centres pulmonary MR angiography and dynamic contrast enhanced perfusion MRI are now well established in the routine workflow of patients particularly with pulmonary hypertension and thromboembolic disease. However, these imaging modalities offer exciting new directions for future research and clinical use in other respiratory diseases where consideration of pulmonary perfusion and gas exchange can provide insight in to pathophysiology.


European Respiratory Journal | 2018

Patterns of regional lung physiology in cystic fibrosis using ventilation MRI and MBW

Laurie Smith; Guilhem Collier; Helen Marshall; Paul Hughes; Alberto Biancardi; Martin Wildman; Ina Aldag; Noreen West; Alex Horsley; Jim M. Wild

Hyperpolarised helium-3 (3He) ventilation magnetic resonance imaging (MRI) and multiple-breath washout (MBW) are sensitive methods for detecting lung disease in cystic fibrosis (CF). We aimed to explore their relationship across a broad range of CF disease severity and patient age, as well as assess the effect of inhaled lung volume on ventilation distribution. 32 children and adults with CF underwent MBW and 3He-MRI at a lung volume of end-inspiratory tidal volume (EIVT). In addition, 28 patients performed 3He-MRI at total lung capacity. 3He-MRI scans were quantitatively analysed for ventilation defect percentage (VDP), ventilation heterogeneity index (VHI) and the number and size of individual contiguous ventilation defects. From MBW, the lung clearance index, convection-dependent ventilation heterogeneity (Scond) and convection–diffusion-dependent ventilation heterogeneity (Sacin) were calculated. VDP and VHI at EIVT strongly correlated with lung clearance index (r=0.89 and r=0.88, respectively), Sacin (r=0.84 and r=0.82, respectively) and forced expiratory volume in 1 s (FEV1) (r=−0.79 and r=−0.78, respectively). Two distinct 3He-MRI patterns were highlighted: patients with abnormal FEV1 had significantly (p<0.001) larger, but fewer, contiguous defects than those with normal FEV1, who tended to have numerous small volume defects. These two MRI patterns were delineated by a VDP of ∼10%. At total lung capacity, when compared to EIVT, VDP and VHI reduced in all subjects (p<0.001), demonstrating improved ventilation distribution and regions of volume-reversible and nonreversible ventilation abnormalities. Ventilation distribution on MRI improves at TLC and two distinct patterns of regional lung disease in CF are highlighted, where abnormal FEV1 is associated with VDP >10%. Ventilation MRI and MBW are highly correlated. http://ow.ly/NvyS30lOP4O


Medical Physics | 2016

WE‐AB‐202‐07: Ventilation CT: Voxel‐Level Comparison with Hyperpolarized Helium‐3 & Xenon‐129 MRI

Bilal Tahir; Helen Marshall; Paul Hughes; Neil J. Stewart; Felix Horn; Guilhem Collier; Graham Norquay; Kerry Hart; James A. Swinscoe; M.Q. Hatton; Jim M. Wild; Rob H. Ireland

PURPOSE To compare the spatial correlation of ventilation surrogates computed from inspiratory and expiratory breath-hold CT with hyperpolarized Helium-3 & Xenon-129 MRI in a cohort of lung cancer patients. METHODS 5 patients underwent expiration & inspiration breath-hold CT. Xenon-129 & 1 H MRI were also acquired at the same inflation state as inspiratory CT. This was followed immediately by acquisition of Helium-3 & 1 H MRI in the same breath and at the same inflation state as inspiratory CT. Expiration CT was deformably registered to inspiration CT for calculation of ventilation CT from voxel-wise differences in Hounsfield units. Inspiration CT and the Xenon-129s corresponding anatomical 1 H MRI were registered to Helium-3 MRI via the same-breath anatomical 1 H MRI. This enabled direct comparison of CT ventilation with Helium-3 MRI & Xenon-129 MRI for the median values in corresponding regions of interest, ranging from finer to coarser in-plane dimensions of 10 by 10, 20 by 20, 30 by 30 and 40 by 40, located within the lungs as defined by the same-breath 1 H MRI lung mask. Spearman coefficients were used to assess voxel-level correlation. RESULTS The median Spearmans coefficients of ventilation CT with Helium-3 & Xenon-129 MRI for ROIs of 10 by 10, 20 by 20, 30 by 30 and 40 by 40 were 0.52, 0.56, 0.60 and 0.68 and 0.40, 0.42, 0.52 and 0.70, respectively. CONCLUSION This work demonstrates a method of acquiring CT & hyperpolarized gas MRI (Helium-3 & Xenon-129 MRI) in similar breath-holds to enable direct spatial comparison of ventilation maps. Initial results show moderate correlation between ventilation CT & hyperpolarized gas MRI, improving for coarser regions which could be attributable to the inherent noise in CT intensity, non-ventilatory effects and registration errors at the voxel-level. Thus, it may be more beneficial to quantify ventilation at a more regional level.


European Respiratory Journal | 2017

Ventilation heterogeneity assessed in patients with mild cystic fibrosis and asthma using Hyperpolarised gas MRI histogram analysis

Paul Hughes; Laurie Smith; Felix Horn; Alberto Biancardi; Guilhem Collier; Neil J. Stewart; Graham Norquay; Madhwesha Rao; Ina Aldag; Christopher Taylor; Helen Marshall; Jim M. Wild


Radiotherapy and Oncology | 2018

OC-0182: A comparison of CT ventilation with 3He and 129Xe MRI for functional avoidance treatment planning

Bilal Tahir; Paul Hughes; S. Robinson; Helen Marshall; Neil J. Stewart; Alberto Biancardi; Ho-Fung Chan; Guilhem Collier; Kerry Hart; James A. Swinscoe; M.Q. Hatton; Jim M. Wild; Rob H. Ireland


International Journal of Radiation Oncology Biology Physics | 2018

Spatial Comparison of CT-Based Surrogates of Lung Ventilation With Hyperpolarized Helium-3 and Xenon-129 Gas MRI in Patients Undergoing Radiation Therapy

Bilal Tahir; Paul Hughes; Stephen Robinson; Helen Marshall; Neil J. Stewart; Graham Norquay; Alberto Biancardi; Ho-Fung Chan; Guilhem Collier; Kerry Hart; James A. Swinscoe; M.Q. Hatton; Jame M. Wild; Rob H. Ireland


Annals of the American Thoracic Society | 2018

Imaging Lung Function Abnormalities in Primary Ciliary Dyskinesia Using Hyperpolarised Gas Ventilation MRI

Laurie Smith; Noreen West; David Hughes; Helen Marshall; Christopher S. Johns; Neil J. Stewart; Ho-Fung Chan; Madhwesha Rao; David Capener; Jody Bray; Guilhem Collier; Paul Hughes; Graham Norquay; Lynne Schofield; Phil Chetcuti; Eduardo Moya; Jim M. Wild

Collaboration


Dive into the Paul Hughes's collaboration.

Top Co-Authors

Avatar

Jim M. Wild

University of Sheffield

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Felix Horn

University of Sheffield

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Laurie Smith

University of Sheffield

View shared research outputs
Top Co-Authors

Avatar

Ina Aldag

Boston Children's Hospital

View shared research outputs
Top Co-Authors

Avatar

Bilal Tahir

University of Sheffield

View shared research outputs
Top Co-Authors

Avatar

Ho-Fung Chan

University of Sheffield

View shared research outputs
Researchain Logo
Decentralizing Knowledge