You are here: / / / Cross-cutting research themes /

Quantitative 23Na magnetic resonance imaging in the abdomen at 3 T

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.

View publication

Evaluation of Dynamic Contrast-Enhanced MRI Measures of Lung Congestion and Endothelial Permeability in Heart Failure: A Prospective Method Validation Study

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.

View publication

Association of Collagen, Elastin, Glycosaminoglycans, and Macrophages With Tissue Ultimate Material Strength and Stretch in Human Thoracic Aortic Aneurysms: A Uniaxial Tension Study

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.

View publication

3 T: the good, the bad and the ugly

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.

View publication

Federated Learning used for predicting outcomes in SARS-COV-2 patients

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.

View publication

Dynamic contrast-enhanced MRI of synovitis in knee osteoarthritis: repeatability, discrimination and sensitivity to change in a prospective experimental study

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.

View publication

Efficacy and safety of setmelanotide, an MC4R agonist, in individuals with severe obesity due to LEPR or POMC deficiency: single-arm, open-label, multicentre, phase 3 trials

Publication: The Lancet: Diabetes and Endocrinology

Prof Karine Clément, MD, Prof Erica van den Akker, MD, Prof Jesús Argente, MD, Allison Bahm, MD, Prof Wendy K Chung, MD, Hillori Connors, MS, Kathleen De Waele, MD, Prof I Sadaf Farooqi, PhD, Julie Gonneau-Lejeune, MD, Gregory Gordon, MD, Katja Kohlsdorf, MD, Prof Christine Poitou, MD, Lia Puder, MD, James Swain, MD, Murray Stewart, DM, Guojun Yuan, PhD, Prof Martin Wabitsch, MD, Prof Peter Kühnen, MD

30 October 2020

Summary:

In this international phase 3 study, researchers wanted to see if the drug Setmelanotide could help people whose severe obesity is caused by pro-opiomelanocortin (POMC) or leptin (LEPR) deficiency.

Melanocortin 4 Receptor (MC4R), plays a critical part in bodyweight regulation and Setmelanotide is an MC4R agonist. This trial was conducted in several countries with participants with severe obesity due to either POMC deficiency LEPR deficiency.

After approximately 1 year, eight (80%) participants in the POMC trial and five (45%) participants in the LEPR trial achieved at least 10% weight loss. Researchers found Setmelanotide to be a safe and effective treatment for people with POMC or LEPR deficiency.

This research could benefit people who find it hard to lose weight. There are ongoing trials to test whether Setmelanotide is effective in other genetic obesity syndromes.

View publication

Quantitative 3D imaging parameters improve prediction of hip osteoarthritis outcome

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.

View publication

Multi-site repeatability and reproducibility of MR fingerprinting of the healthy brain at 1.5 and 3.0 T

Publication: NeuroImage

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

15 July 2019

View publication

Artificial Intelligence in Breast Imaging

Publication: Clinical Radiology

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

May 2019

View publication

The NIHR Cambridge BRC is part of the NIHR and hosted by Cambridge University Hospitals NHS Foundation Trust in partnership with the University of Cambridge. We are at the heart of the Cambridge Biomedical Campus, Europe’s largest health research area.

Bluesky

Contact Us

Cambridge Biomedical Research Centre
Box 277
Hills Road
Cambridge
CB2 0QQ

Tel: 01223 348490

Useful Links

About Us
Research
Governance Structure
Partners
Publications
PPIE in Research
News/Events
Vacancies
Accessibility
Privacy

cambridgebrc NIHR Cambridge Biomedical Research Centre @cambridgebrc ·
13 Feb

What is #Research #Culture and why should you be interested in it? Why not come along and find out...Thursday 27 February 16.15 - 18.00 ⬇️⬇️
Book Now >> patojomcpeake@thisinstitute.cam.ac.uk
@Cambridge_Uni @CUH_NHS @THIS_Institute

Reply on Twitter 1890067126679163351 Retweet on Twitter 1890067126679163351 Like on Twitter 1890067126679163351 Twitter 1890067126679163351
cambridgebrc NIHR Cambridge Biomedical Research Centre @cambridgebrc ·
13 Feb

New #research from Cambridge @Cambridge_Uni shows the need to prioritise #vaccine boosters for those with weakned immune systems to #prevent emergence of new #Covid variants.
@CUH_NHS @NIHRresearch @Gates_Cambridge #vasculitisUK

>> To find out more:

Reply on Twitter 1890034902571339816 Retweet on Twitter 1890034902571339816 2 Like on Twitter 1890034902571339816 6 Twitter 1890034902571339816
cambridgebrc NIHR Cambridge Biomedical Research Centre @cambridgebrc ·
12 Feb

Involved in research? Whatever your role/discipline, please spend 15-20 mins filling out a survey https://bit.ly/41aZ69J from @EthicsSciPublicKavli at @Cambridge_Uni on science engagement with the public? @CamUniEngage @engageWCS @StellenboschUni @CUH_NHS

Reply on Twitter 1889650882251284935 Retweet on Twitter 1889650882251284935 2 Like on Twitter 1889650882251284935 3 Twitter 1889650882251284935
cambridgebrc NIHR Cambridge Biomedical Research Centre @cambridgebrc ·
11 Feb

Happy #InternationalDayofWomenandGirlsinScience
To commemorate this annual celebration, we interviewed three women from our Cambridge BRC. Look out for Rona Smith's full interview on our website in the coming days..
@CUH_NHS @Cambridge_Uni @NIHRresearch @UNESCO @WomenScienceDay

Reply on Twitter 1889373404295279019 Retweet on Twitter 1889373404295279019 Like on Twitter 1889373404295279019 3 Twitter 1889373404295279019
cambridgebrc NIHR Cambridge Biomedical Research Centre @cambridgebrc ·
11 Feb

Happy #InternationalDayofWomenandGirlsinScience
For this global celebration of women in science, we interviewed 3 women from our Cambridge BRC. Look out for Jo McPeake's interview on our website in the coming days
@CUH_NHS @Cambridge_Uni @NIHRresearch @UNESCO @WomenScienceDay

Reply on Twitter 1889372716592963658 Retweet on Twitter 1889372716592963658 1 Like on Twitter 1889372716592963658 5 Twitter 1889372716592963658
cambridgebrc NIHR Cambridge Biomedical Research Centre @cambridgebrc ·
11 Feb

Happy #InternationalDayofWomenandGirlsinScience
To celebrate this global day, we interviewed three women from our Cambridge BRC. Look out for Deborah's full interview on our website in the coming days..
@CUH_NHS @Cambridge_Uni @NIHRresearch @BEARS_CI @UNESCO @WomenScienceDay

Reply on Twitter 1889370490432639371 Retweet on Twitter 1889370490432639371 2 Like on Twitter 1889370490432639371 4 Twitter 1889370490432639371
View more Tweets

© Copyright - NIHR Cambridge Biomedical Research Centre 2025