The Diagnostic Imaging Research Programme (DIRP) was formed in early 2009 within the Directorate of Radiography at the University of Salford. Today it is comprised of a radiographer-led Research Programme with: 21 PhD students, 13 academic staff in radiography with research time allocations between 100% and 5%; internal University of Salford multi-disciplinary research collaborations involving Computer Science, Engineering, Psychology, Nursing and Occupational Therapy; external multi-disciplinary research collaborations involving radiographers, medical practitioners, orthoptists, computer scientists and medical physicists from academic and hospital settings around the world. As an academic department of radiography we are ranked first in the UK and third in the world for journal publications per annum; typically we publish 20-25 peer reviewed papers a year and present a similar number of papers at international conferences. At any one time there will be around 30 research projects ongoing.
Our key research themes are explained in the next section:
Our research has two foci:
1. Breast Cancer Screening and Diagnosis using Full Field Digital Mammography (FFDM)
2. Dose and Image Quality Optimisation, and Lesion Detection Performance
Some overlap exists between the two foci, with detection performance and dose/image quality optimisation studies occuring in FFDM.
Breast Cancer - Screening & Diagnosis using Full Field Digital Mammography (FFDM)
Theme Lead: Professor Peter Hogg
This has qualitative and quantitative components; however the majority of our research projects are quantitative in nature. Various ways can be used to outline the research we conduct and for the purposes of this paper they are broken down into three categories: technical; practice-based; social.
Our technical research relates to applied physics, engineering and computing and the projects investigate equipment-related matters which are grounded on practical issues which arise in the clinical setting. Examples of this research include: 1. Identification of causation for and minimisation of reasons leading to blurred FFDM images. Blurred FFDM images can lead to false diagnoses and unnecessary repeat examinations. Repeat imaging can heighten client / family anxiety, increase overall breast screening costs and contribute to unnecessary radiation dose. 2. Development of new mathematical models for predicting total lifetime radiation risk from screening mammography. These models are important as they can help clients make informed decisions about whether or not they wish to participate in screening; also they allow for comparisons between country-based screening programmes, intra-country screening regimes and FFDM machines. 3. Identification of FFDM machine inaccuracies which can lead to errors in practice, for instance inaccurate breast cancer risk stratification for future screening and lesion localisation as part of biopsy processes. 4. Analyses of computer screen display capabilities for technical checking and reporting of FFDM images. Our work here has already found that the technical checking monitors located in the clinical rooms might not be of an adequate standard to check images before sending them for reporting.
Our practice-based research mainly relates to improving FFDM image quality and screening client experience during the imaging process. Examples of our research include: 1. identification and minimisation of compression force variability between and within practitioners. We were the first to prove the existence of this, initially focusing our work on a UK population. Since then we have published a major piece of research which assessed the entire screening population of Norway. Impact from this has been high, with an international software company introducing an automated method to assess practitioner variability. This, it is hoped, will allow for easy identification of outliers and the ability to implement solutions on a global scale. 2. Interval cancers are cancers which occur between screening rounds. The way in which they are evaluated within our breast screening service is biased. We are working towards creating a new method to investigate and classify interval cancers. 3. Improving FFDM positioning technique to ensure standardisation, minimise discomfort and improve lesion detection performance. 4. Assessing the impact of visual acuity in breast cancer detection performance with a view to setting standards for eye sight checking (similar to driving a car).
The Word of Mouth Mammogram e-Network (WoMMeN) team met for the final time in December 2017 with retirement of the PI, Dr Leslie Robinson, coinciding with the achievement of the project’s main aim - the creation and evaluation of an online hub to provide information and promote awareness of breast screening mammography. WoMMeN was developed by a high-quality research team of mammography practitioners, multi-disciplinary academics and patients, who through their work have achieved success in establishing a presence in the field of Social Media (SoMe) within breast screening.
Since 2012, the WoMMeN team has achieved the following:
The following publications have also been generated as a direct result of this project:
The following Grant income is associated with this project:
Offshoots from the project, for example the development of a national Social Media education hub, continue and will be led by Dr Cristina Vasilica, one of the WoMMeN project team members from the School of Health and Society. Leslie extends her gratitude and appreciation of all those involved in making the WoMMeN team a success.
1. Digital Mammography: A holistic approach, Hogg P, Kelly J and Mercer C, Springer, 2015, ISBN 978-3-319-04831-4
* Correct as of 01/01/2017
X-ray - Dose and Image Quality Optimisation, and Lesion Detection Performance
Theme Lead: Dr Andrew England
This research relates directly to general radiography imaging practice. We investigate and solve a range of clinically relevant imaging problems that face practitioners on a daily basis. Radiation dose and dose optimisation is a serious concern and can be a limitation when attempting to preserve the diagnostic quality of the image. This research theme covers a large range of imaging modalities and examinations. We use a range of methods within this research theme:
Many aspects of this research have a close relationship with student learning in our BSc Diagnostic Radiography.
Practical SPECT/CT in nuclear medicine, Jones D, Hogg P, Seeram E, Springer, 2013, ISBN 978-1-4471-4703-9
Digital Mammography, a holistic approach, Hogg P, Mercer C and Kelly J, Springer, 2014, ISBN 978-3-319-04831-4
Radiation dose and image quality optimisation in medical imaging, Hogg P, Lanca, Open Source, 2014, ISBN 978-1-907842-60-3
A Tootell, K Szczepura, and P Hogg. "Analysis of effective and organ dose estimation in CT when using mA modulation: A single scanner pilot study." Radiography 23, 159-166 (2017). doi:10.1016/j.radi.2017.02.006J.D.
J.D. Thompson, A Wareing, K.R. Szczepura, S. Vinjamuri, P Hogg. "A JAFROC study of nodule detection performance in CT images of a thorax acquired during PET/CT." Radiography (in press).doi:10.1016/j.radi.2017.03.001
J.B. Robinson, R Ali, A.K. Tootell, P Hogg. "Does collimation affect patient dose in antero-posterior thoraco-lumbar spine?" Radiography (in press). doi:10.1016/j.radi.2017.03.012
J Tugwell, A England, P Hogg. "Antero-posterior (AP) pelvis x-ray imaging on a trolley: impact of trolley design, mattress design and radiographer practice on image quality and radiation dose." Radiography (in press). Pending doi
B Scragg, S Shaikh, L Robinson, C Mercer. "Mixed messages: an evaluation of NHS Trust Social Media Policies in the North West of England." Radiography (in press). doi:10.1016/j.radi.2017.03.018
B Scragg, S Shaikh, G Shires, J Stein Hodgins, C Mercer, L Robinson, J Wray. "An exploration of mammographers’ attitudes towards the use of Social Media for providing breast screening information to clients." Radiography (in press). doi:10.1016/j.radi.2017.04.004
J.D. Thompson, D.P. Chakraborty, K. Szczepura, A.K. Tootell, I. Vamvakas, D.J. Manning, and P. Hogg, “Effect of reconstruction methods and x-ray tube current–time product on nodule detection in an anthropomorphic thorax phantom: A crossed-modality JAFROC observer study,” Med. Phys. 43, 1265–1274 (2016). doi: 10.1118/1.4941017
J.D. Thompson, N.B. Thomas, D.J. Manning, and P. Hogg, “The impact of greyscale inversion for nodule detection in an anthropomorphic chest phantom: a free-response observer study,” Br. J. Radiol. 89, 20160249 (2016). doi: 10.1259/bjr.20160249
C. Charnley, A. England, A. Martin, S. Taylor, N. Benson, and L. Jones, “An option for optimising the radiographic technique for horizontal beam lateral (HBL) hip radiography when using digital X-ray equipment,” Radiography 22, e137–e142 (2016). doi: 10.1016/j.radi.2016.01.004
H.A.A.B. Mraity, A. England, S. Cassidy, P. Eachus, A. Dominguez, and P. Hogg, “Development and validation of a visual grading scale for assessing image quality of AP pelvis radiographic images,” Br. J. Radiol. (2016). doi: 10.1259/bjr.20150430
A. Sanderud, A. England, P. Hogg, K. Fosså, S.F. Svensson, and S. Johansen, “Radiation dose differences between thoracic radiotherapy planning CT and thoracic diagnostic CT scans,” Radiography 22, 107–111 (2016). doi: 10.1016/j.radi.2015.08.003
R.M. Ali, A. England, M.F. McEntee, and P. Hogg, “A method for calculating effective lifetime risk of radiation-induced cancer from screening mammography,” Radiography 21, 298–303 (2015). doi: 10.1016/jradi.2015.07.008
E. Davey and A. England, “AP versus PA positioning in lumbar spine computed radiography: Image quality and individual organ doses,” Radiography 21, 188–196 (2015). doi:10.1016/j.radi.2014.11.003
M. Jessop, J.D. Thompson, J. Coward, A. Sanderud, J. Jorge, M. de Groot, L. Lança, and P. Hogg, “Lesion Detection Performance: Comparative Analysis of Low-Dose CT Data of the Chest on Two Hybrid Imaging Systems.,” J. Nucl. Med. Technol. 43, 47–52 (2015). doi:10.2967/jnmt.114.147447
W.K. Ma, R. Aspin, J. Kelly, S. Millington, and P. Hogg, “What is the minimum amount of simulated breast movement required for visual detection of blurring? An exploratory investigation,” Br. J. Radiol. 88, 20150126 (2015). doi:10.1259/bjr.20150126
C.E. Mercer, K. Szczepura, J. Kelly, S.R. Millington, E.R.E. Denton, R. Borgen, B. Hilton, and P. Hogg, “A 6-year study of mammographic compression force: Practitioner variability within and between screening sites,” Radiography 21, 68–73 (2015). doi:10.1016/j.radi.2014.07.004
F. Murphy, J. Nightingale, P. Hogg, L. Robinson, D. Seddon, and S. Mackay, “Compression force behaviours: An exploration of the beliefs and values influencing the application of breast compression during screening mammography,” Radiography 21, 30–35 (2015). doi:10.1016/j.radi.2014.05.009
L. Robinson, M. Griffiths, J. Wray, C. Ure, G. Shires, J.R. Stein-Hodgins, C. Hill, and B. Hilton, “Preparing women for breast screening mammography: A feasibility study to determine the potential value of an on-line social network and information hub,” Radiography 21, 308–314 (2015). doi:10.1016/j.radi.2015.07.004
McWilliams, R.K. Fisher, A. England, and F. Torella, “Observations on Surveillance Imaging After Endovascular Sealing of Abdominal Aortic Aneurysms With the Nellix System,” J. Endovasc. Ther. 22, 303–306 (2015). doi: 10.1177/1526602815582209
B. Al Qaroot, P. Hogg, M. Twiste, and D. Howard, “A systematic procedure to optimise dose and image quality for the measurement of inter-vertebral angles from lateral spinal projections using Cobb and superimposition methods,” J. Xray. Sci. Technol. 22, 613–625 (2014). doi: 10.3233/XST-140449
J. Coward, R. Lawson, T. Kane, M. Elias, A. Howes, J. Birchall, and P. Hogg, “Multi-centre analysis of incidental findings on low-resolution CT attenuation correction images,” Br. J. Radiol. 87, 20130701 (2014). doi: 10.1259/bjr.20130701
J.D. Thompson, P. Hogg, D.J. Manning, K. Szczepura, and D.P. Chakraborty, “A Free-response Evaluation Determining Value in the Computed Tomography Attenuation Correction Image for Revealing Pulmonary Incidental Findings,” Acad. Radiol. 21, 538–545 (2014). doi: 10.1016/j.acra.2014.01.003
A.K. Tootell, K. Szczepura, and P. Hogg, “Comparison of effective dose and lifetime risk of cancer incidence of CT attenuation correction acquisitions and radiopharmaceutical administration for myocardial perfusion imaging,” Br. J. Radiol. 87, (2014). doi: 10.1259/bjr.20140110
P. Hogg, K. Szczepura, A. Darlington, and A. Maxwell, “A method to measure paddle and detector pressures and footprints in mammography,” Med. Phys. 40, 41907 (2013). doi: 10.1118/1.4792720
P. Hogg, M. Taylor, K. Szczepura, C. Mercer, and E. Denton, “Pressure and breast thickness in mammography - An exploratory calibration study,” Br. J. Radiol. 86, (2013). doi: 10.1259/bjr.20120222
C.E. Mercer, P. Hogg, R. Lawson, J. Diffey, and E.R.E. Denton, “Practitioner compression force variability in mammography: A preliminary study,” Br. J. Radiol. 86, (2013). doi: 10.1259/bjr.20110596
I.H.R. Hauge, P. Hogg, K. Szczepura, P. Connolly, G. McGill, and C. Mercer, “The readout thickness versus the measured thickness for a range of screen film mammography and full-field digital mammography units.,” Med. Phys. 39, 263–71 (2012). doi: 10.1118/1.3663579
J.M. Nightingale, F.J. Murphy, and C. Blakeley, “‘I thought it was just an x-ray’: a qualitative investigation of patient experiences in cardiac SPECT-CT imaging,” Nucl. Med. Commun. 33, 246–254 (2012). doi: 10.1097/MNM.0b013e32834f90c6
P. Ruparelia, K.R. Szczepura, C. Summers, C.K. Solanki, K. Balan, P. Newbold, D. Bilton, A.M. Peters, and E.R. Chilvers, “Quantification of neutrophil migration into the lungs of patients with chronic obstructive pulmonary disease,” Eur. J. Nucl. Med. Mol. Imaging 38, 911–919 (2011). doi: 10.1007/s00259-010-1715-7
We have a thriving and friendly PhD community, comprising full time and part time students. The majority of our PhD research focuses on one of our three key research themes. However, because of collaboration a minority of our PhD research activity is not within our research themes. At the moment we are not offering a grant to do a PhD. Nevertheless, PhD research opportunities do exist for externally funded PhD students; below are some sample project areas:
Breast Cancer - Full Field Digital Mammography (FFDM)
Theme Lead: Professor Peter Hogg
Ultrasound – Diagnosis and Management of Lower Limb Musculo-Skeletal Disorders
Theme Lead: Dr Gillian Crofts
X-ray – Dose and Image Quality Optimisation, and Lesion Detection Performance
Theme Lead: Dr Andrew England
In addition to the above staff in Radiography, our teams include other University of Salford academics:
Our teams also benefit from significant input from a broad range of external professionals who hold honorary research appointments with us: