Publications

Publication: Magnetic Resonance Materials in Physics, Biology and Medicine

Jonathan Birchall, Ines Horvat-Menih, Joshua Kaggie, Arnold Benjamin, Martin Graves, Ian Wilkinson, Ferdia Gallagher, Mary McLean

1 June 2024

Summary

We estimated the sodium content and relaxation of organs within the abdomen of healthy human volunteers using magnetic resonance imaging (MRI). Existing techniques for measuring sodium content are non-specific or require an invasive biopsy. Clinical translation of sodium content monitoring may aid in diagnosis of disease such as cancer, chronic kidney disease and hypertension at earlier stages, and more regular monitoring may help to evaluate efficacy of treatment.

Publication: JMRI

Joseph Cheriyan, Alexandra Roberts, Caleb Roberts, Martin J. Graves, Ilse Patterson,Rhys A. Slough,Rosemary Schroyer, Disala Fernando, Subramanya Kumar,Sarah Lee, Geoffrey J.M. Parker, Lea Sarov-Blat, Carmel McEniery, Jessica Middlemiss, Dennis Sprecher, Robert L. Janiczek

27 March 2022

Summary

Lung congestion is common in patients with heart failure. Enhanced MRI may be appropriate method for accurate measurement of lung fluid.

Publication: J Biomech Eng.

Aziz Tokgoz,  Shuo Wang,  Priya Sastry,  Chang Sun, Nichola L. Figg,  Yuan Huang,  Martin R. Bennett, Sanjay Sinha, Jonathan H. Gillard, Michael P. F. Sutcliffe,  Zhongzhao Teng

25 April 2022

Summary

Fiber structures and pathological features, e.g., inflammation and glycosaminoglycan (GAG) deposition, are the primary determinants of aortic mechanical properties which are associated with the development of an aneurysm. This study is designed to quantify the association of tissue ultimate strength and extensibility with the structural percentage of different components, in particular, GAG, and local fiber orientation.

Publication: British Journal of Radiology

Martin John Graves

10 November 2021

Summary

This research reviews the advantages and disadvantages of magnetic resonance imaging at a field strength of 3 tesla in comparison to lower field strengths.

Publication: Nature Medicine

Ittai Dayan, Holger R. Roth, Aoxiao Zhong, Ahmed Harouni, Amilcare Gentili, Anas Z. Abidin, Andrew Liu, Anthony Beardsworth Costa, Bradford J. Wood, Chien-Sung Tsai, Chih-Hung Wang, Chun-Nan Hsu, C. K. Lee, Peiying Ruan, Daguang Xu, Dufan Wu, Eddie Huang, Felipe Campos Kitamura, Griffin Lacey, Gustavo César de Antônio Corradi, Gustavo Nino, Hao-Hsin Shin, Hirofumi Obinata, Hui Ren, Jason C. Crane, Jesse Tetreault, Jiahui Guan, John W. Garrett, Joshua D. Kaggie, Jung Gil Park, Keith Dreyer, Krishna Juluru, Kristopher Kersten, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Marius George Linguraru, Masoom A. Haider, Meena AbdelMaseeh, Nicola Rieke, Pablo F. Damasceno, Pedro Mario Cruz e Silva, Pochuan Wang, Sheng Xu, Shuichi Kawano, Sira Sriswasdi, Soo Young Park, Thomas M. Grist, Varun Buch, Watsamon Jantarabenjakul, Weichung Wang, Won Young Tak, Xiang Li, Xihong Lin, Young Joon Kwon, Abood Quraini, Andrew Feng, Andrew N. Priest, Baris Turkbey, Benjamin Glicksberg, Bernardo Bizzo, Byung Seok Kim, Carlos Tor-Díez, Chia-Cheng Lee, Chia-Jung Hsu, Chin Lin, Chiu-Ling Lai, Christopher P. Hess, Colin Compas, Deepeksha Bhatia, Eric K. Oermann, Evan Leibovitz, Hisashi Sasaki, Hitoshi Mori, Isaac Yang, Jae Ho Sohn, Krishna Nand Keshava Murthy, Li-Chen Fu, Matheus Ribeiro Furtado de Mendonça, Mike Fralick, Min Kyu Kang, Mohammad Adil, Natalie Gangai, Peerapon Vateekul, Pierre Elnajjar, Sarah Hickman, Sharmila Majumdar, Shelley L. McLeod, Sheridan Reed, Stefan Gräf, Stephanie Harmon, Tatsuya Kodama, Thanyawee Puthanakit, Tony Mazzulli, Vitor Lima de Lavor, Yothin Rakvongthai, Yu Rim Lee, Yuhong Wen, Fiona J. Gilbert, Mona G. Flores & Quanzheng Li

15 September 2021

Summary

In collaboration with 20 centres across the world, including Harvard and Nvidia, researchers ‘federate’ machine learning to improve the prediction of covid based on chest x-rays. This method allows use to show results without sharing patient data. Read the full press release.

Publication: European Radiology

James W. MacKay, Faezeh Sanaei Nezhad, Tamam Rifai, Joshua D. Kaggie, Josephine H. Naish, Caleb Roberts, Martin J. Graves, John C. Waterton, Robert L. Janiczek, Alexandra R. Roberts, Andrew McCaskie, Fiona J. Gilbert & Geoff J. M. Parker

16 February 2021

Summary

Using a method called dynamic contrast enhancement, where gadolinium contrast is used to detect synovitis (inflammation) in the knee, as a predictor of osteoarthritis. Researchers follow patients for 6-months to detect changes and found it may predict osteoarthritis development.

Publication: Scientific Reports

T. D. Turmezei, G. M. Treece, A. H. Gee, S. Sigurdsson, H. Jonsson, T. Aspelund, V. Gudnason & K. E. S. Poole

March 2020

Summary

Hip osteoarthritis is a very common condition that will affect up to 25% of the population in their lifetime. There is no cure for this painful and debilitating disease, with the mainstay of treatment currently being surgical replacement of the joint once it has become too stiff or painful to use. Research trials trying to find effective therapies for osteoarthritis currently rely on x-ray radiograph imaging to test if there have been any meaningful changes in the structure of the joint for a new therapy, but this method suffers from being unable to detect small changes reliably and from only being able to see the joint in 2D.

We developed the joint space mapping (JSM) technique in a collaboration between the Departments of Medicine and Engineering at the University of Cambridge and have since taken it to test on patient data from the widely regarded AGES-Reykjavik patient cohort of healthy older Icelandic adults.

Our research showed that JSM can identify structurally relevant disease features related to the important outcome of joint replacement in hip osteoarthritis better than the current clinical trial 2D imaging gold standards. This means that JSM could be a significantly better way of identifying who might be at high risk from getting hip osteoarthritis, those in whom the disease might be progressing rapidly, and whether any new therapy is effective at stopping the joint destruction that ultimately leads to joint failure. These results have been achieved by using an existing and readily available clinical imaging technique to look at the hip joint in 3D.

Publication: NeuroImage

Buonincontri G, Biagi L, Retico A, Cecchi P, Cosottini M, Gallagher F, et al.

15 July 2019

Publication: Clinical Radiology

Gilbert F, Le E, Hickman S, Wang Y, Huang Y.

May 2019

Publication: European Radiology.

Zaccagna F, Riemer F, Priest AN, McLean MA, Allinson K, Grist JT, et al.

19 March 2019

Publication: European Radiology

Caglic I, Brzan PP, Warren A, Bratt O, Shah N, Barrett T.

18 March 2019

Publication: Clinical and Translational Oncology

Sushentsev N, Martin H, Rimmer Y, Barrett T.

13 March 2019

Publication: Journal of Magnetic Reson Imaging

Riemer F, McHugh D, Zaccagna F, Lewis D, McLean MA, Graves MJ, et al.

12 March 2019

Publication: Journal of the National Cancer Institute

Rodriguez-Ruiz A, Lång K, Gubern-Merida A, Broeders M, Gennaro G, Clauser P, et al.

5 March 2019

Publication: Insights into Imaging

García-Figueiras R, Baleato-González S, Padhani AR, Luna-Alcalá A, Vallejo-Casas JA, Sala E, et al.

4 March 2019

Publication: Brain

Surendranathan A, Su L, Mak E, Passamonti L, Hong YT, Arnold R, et al.

6 November 2018

Publication: Lung Cancer

Matys T, Drury R, David S, Rassl DM, Qian W, Rintoul RC, et al. Corrigendum to

10 June 2018

Publication: Brain

Morris RS, Simon Jones P, Alawneh JA, Hong YT, Fryer TD, Aigbirhio FI, et al.

9 May 2018

Publication: Nature

Nasralla D, Coussios CC, Mergental H, Akhtar MZ, Butler AJ, Ceresa CDL, et al.

18 April 2018

Publication: Proceedings of National Academy of Sciences

Deniz Vatansever, David K. Menon, and Emmanuel A. Stamatakis

23 October 2017

Publication: AJR Am J Roentgenol,

Barrett, T., and M.A. Haider.

January 2017

Publication: Osteoarthritis and Cartilage

MacKay, J.W., P.J. Murray, B. Kasmai, G. Johnson, S.T. Donell, and A.P. Toms.

13 December 2016

Publication: Circulation. Cardiovascular Imaging

Huang, Yuan, Zhongzhao Teng, Maysoon Elkhawad, Jason M. Tarkin, Nikhil Joshi, Jonathan R. Boyle, John R. Buscombe, et al.

10 November 2016

Publication: BJU International

Hansen, Nienke L., Claudia Kesch, Tristan Barrett, Brendan Koo, Jan P. Radtke, David Bonekamp, Heinz-Peter Schlemmer, et al.

10 November 2016

Publication: Eur Radiol

Bedair, R., A.N. Priest, A.J. Patterson, M.A. McLean, M.J. Graves, R. Manavaki, A.B. Gill, O. Abeyakoon, J.R. Griffiths, and F.J. Gilbert.

31 October 2016

Publication: Eur Radiol

Hansen, N.L., B.C. Koo, F.A. Gallagher, A.Y. Warren, A. Doble, V. Gnanapragasam, O. Bratt, C. Kastner, and T. Barrett

24 October 2016

Publication: Sci Rep

Gnanapragasam, V.J., K. Burling, A. George, S. Stearn, A. Warren, T. Barrett, B. Koo, et al.

17 October 2016

Publication: BJU International

Hansen, Nienke L., Tristan Barrett, Brendan Koo, Andrew Doble, Vincent Gnanapragasam, Anne Warren, Christof Kastner, and Ola Bratt

4 August 2016

Publication: PLoS One

Lawrence, E.M., A.Y. Warren, A.N. Priest, T. Barrett, D.A. Goldman, A.B. Gill, V.J. Gnanapragasam, E. Sala, and F.A. Gallagher.

28 July 2016

Publication: NMR in Biomedicine

Daniels, Charlie J., Mary A. McLean, Rolf F. Schulte, Fraser J. Robb, Andrew B. Gill, Nicholas McGlashan, Martin J. Graves, et al.

18 January 2016