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Multi-organ abnormalities assessed by a single MRI scan in individuals with blood cancer

Reed, Sophie; Pansini, Michele; Diamond, Charlie; Banerjee, Amitava; Thomaides Brears, Helena; Chowdhury, Onima; (2024) Multi-organ abnormalities assessed by a single MRI scan in individuals with blood cancer. European Journal of Internal Medicine , 128 pp. 150-152. 10.1016/j.ejim.2024.05.025.

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Abstract

BACKGROUND: During the COVID-19 pandemic individuals with all blood cancers were classified as clinically vulnerable and at high risk of complications and death. Our study sought to determine if individuals with specific blood cancers were at a heightened risk of longer term organ impairment, secondary to SARS-CoV-2 infection. METHODS: We set up a prospective observational study, utilising quantitative multi-parametric MRI to determine organ health over time in patients with specific blood cancers who had recovered from COVID-19. RESULTS: Multi-organ abnormality was more prevalent in blood cancer patients than in healthy controls (42 % vs 6 % p < 0.001) but comparable to the long COVID controls (42 % vs 33 %, p > 0.05). At 6 month follow up scans, organ abnormalities persisted in most individuals with blood cancer (71 % ≥1 organ and 52 % multi-organ). CONCLUSION: A multi-organ MRI platform offers the capacity to accurately evaluate organ health dynamically in blood cancers and detect asymptomatic organ impairment. The application of multi-organ MRI could aid early detection and longitudinal monitoring of organ impairment, potentially guiding more personalised treatment strategies and improving clinical outcomes in many rare diseases.

Type: Article
Title: Multi-organ abnormalities assessed by a single MRI scan in individuals with blood cancer
Location: Netherlands
DOI: 10.1016/j.ejim.2024.05.025
Publisher version: https://doi.org/10.1016/j.ejim.2024.05.025
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics
URI: https://discovery.ucl.ac.uk/id/eprint/10201441
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