Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Christina Messiou"'
Autor:
Simon J. Doran, Theo Barfoot, Linda Wedlake, Jessica M. Winfield, James Petts, Ben Glocker, Xingfeng Li, Martin Leach, Martin Kaiser, Tara D. Barwick, Aristeidis Chaidos, Laura Satchwell, Neil Soneji, Khalil Elgendy, Alexander Sheeka, Kathryn Wallitt, Dow-Mu Koh, Christina Messiou, Andrea Rockall
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Objectives MAchine Learning In MyelomA Response (MALIMAR) is an observational clinical study combining “real-world” and clinical trial data, both retrospective and prospective. Images were acquired on three MRI scanners over a 10-year wi
Externí odkaz:
https://doaj.org/article/e3e19c56ad064f76a98af16a0519cd4d
Autor:
Sam Keaveney, Alina Dragan, Mihaela Rata, Matthew Blackledge, Erica Scurr, Jessica M. Winfield, Joshua Shur, Dow-Mu Koh, Nuria Porta, Antonio Candito, Alexander King, Winston Rennie, Suchi Gaba, Priya Suresh, Paul Malcolm, Amy Davis, Anjumara Nilak, Aarti Shah, Sanjay Gandhi, Mauro Albrizio, Arnold Drury, Guy Pratt, Gordon Cook, Sadie Roberts, Matthew Jenner, Sarah Brown, Martin Kaiser, Christina Messiou
Publikováno v:
Insights into Imaging, Vol 14, Iss 1, Pp 1-14 (2023)
Abstract Background The Myeloma Response Assessment and Diagnosis System (MY-RADS) guidelines establish a standardised acquisition and analysis pipeline for whole-body MRI (WB-MRI) in patients with myeloma. This is the first study to assess image qua
Externí odkaz:
https://doaj.org/article/6e65c366b56d454d831d89851e12e0aa
Autor:
Matthew R. Orton, Evan Hann, Simon J. Doran, Scott T. C. Shepherd, Derfel Ap Dafydd, Charlotte E. Spencer, José I. López, Víctor Albarrán-Artahona, Francesca Comito, Hannah Warren, Joshua Shur, Christina Messiou, James Larkin, Samra Turajlic, on behalf of the TRACERx Renal Consortium, Dow-Mu Koh
Publikováno v:
Cancer Imaging, Vol 23, Iss 1, Pp 1-14 (2023)
Abstract Background The aim of this work is to evaluate the performance of radiomics predictions for a range of molecular, genomic and clinical targets in patients with clear cell renal cell carcinoma (ccRCC) and demonstrate the impact of novel featu
Externí odkaz:
https://doaj.org/article/776e2f4a16584d99afb2c139c1ffe7f5
Autor:
Ricardo Donners, Antonio Candito, Mihaela Rata, Adam Sharp, Christina Messiou, Dow-Mu Koh, Nina Tunariu, Matthew D. Blackledge
Publikováno v:
Cancers, Vol 16, Iss 9, p 1647 (2024)
(1) Background: We assessed the test–re-test repeatability of radiomics in metastatic castration-resistant prostate cancer (mCPRC) bone disease on whole-body diffusion-weighted (DWI) and T1-weighted Dixon MRI. (2) Methods: In 10 mCRPC patients, 1.5
Externí odkaz:
https://doaj.org/article/6886f301ce0840efb907237720cee35e
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 21, Iss , Pp 4536-4539 (2023)
We propose that an information technology and computational framework that would unify access to hospital digital information silos, and enable integration of this information using machine learning methods, would bring a new paradigm to patient mana
Externí odkaz:
https://doaj.org/article/58c918b499144663b59de5646996928d
Autor:
Antonio Candito, Richard Holbrey, Ana Ribeiro, Christina Messiou, Nina Tunariu, Dow-Mu Koh, Matthew D. Blackledge
Publikováno v:
Bioengineering, Vol 11, Iss 2, p 130 (2024)
Background: Whole-Body Diffusion-Weighted Imaging (WBDWI) is an established technique for staging and evaluating treatment response in patients with multiple myeloma (MM) and advanced prostate cancer (APC). However, WBDWI scans show inter- and intra-
Externí odkaz:
https://doaj.org/article/aa79894d44514d0387335d3a9ad3db37
Autor:
Edward W. Johnston, Nicos Fotiadis, Craig Cummings, Jodie Basso, Toby Tyne, Joost Lameijer, Christina Messiou, Dow-Mu Koh, Jessica M. Winfield
Publikováno v:
European Radiology Experimental, Vol 6, Iss 1, Pp 1-10 (2022)
Abstract Background Magnetic resonance imaging (MRI) can be used to target tumour components in biopsy procedures, while the ability to precisely correlate histology and MRI signal is crucial for imaging biomarker validation. Robotic MRI/computed tom
Externí odkaz:
https://doaj.org/article/d97a2beb6c2d4574948816884325da0a
Autor:
Mihaela Rata, Matthew Blackledge, Erica Scurr, Jessica Winfield, Dow-Mu Koh, Alina Dragan, Antonio Candito, Alexander King, Winston Rennie, Suchi Gaba, Priya Suresh, Paul Malcolm, Amy Davis, Anjumara Nilak, Aarti Shah, Sanjay Gandhi, Mauro Albrizio, Arnold Drury, Sadie Roberts, Matthew Jenner, Sarah Brown, Martin Kaiser, Christina Messiou
Publikováno v:
Insights into Imaging, Vol 13, Iss 1, Pp 1-16 (2022)
Abstract Background Whole-body (WB) MRI, which includes diffusion-weighted imaging (DWI) and T1-w Dixon, permits sensitive detection of marrow disease in addition to qualitative and quantitative measurements of disease and response to treatment of bo
Externí odkaz:
https://doaj.org/article/aa9f8666ef83423c956cefa713b84262
Autor:
Basrull N. Bhaludin, Nina Tunariu, Nishanthi Senthivel, Amna Babiker, Neil D. Soneji, Nabil Hujairi, Bhupinder Sharma, Sophie E. McGrath, Alicia F. Okines, Alistair E. Ring, Christina Messiou, Kate Downey, Dow-Mu Koh
Publikováno v:
Cancer Imaging, Vol 22, Iss 1, Pp 1-14 (2022)
Abstract Background The assessment of metastatic breast cancer (MBC) can be limited with routine imaging such as computed tomography (CT) especially in bone-only or bone-predominant disease. This analysis investigates the effects of the use of WBMRI
Externí odkaz:
https://doaj.org/article/92cd5598a3474be09d08a9d0cc5e7091
Autor:
Reza Kalantar, Sebastian Curcean, Jessica M. Winfield, Gigin Lin, Christina Messiou, Matthew D. Blackledge, Dow-Mu Koh
Publikováno v:
Diagnostics, Vol 13, Iss 21, p 3381 (2023)
T2-weighted magnetic resonance imaging (MRI) and diffusion-weighted imaging (DWI) are essential components of cervical cancer diagnosis. However, combining these channels for the training of deep learning models is challenging due to image misalignme
Externí odkaz:
https://doaj.org/article/4c228a82d5aa48caa2201012a578f2ba