Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Nikita Sushentsev"'
Autor:
Nikita Sushentsev, Gregory Hamm, Lucy Flint, Daniel Birtles, Aleksandr Zakirov, Jack Richings, Stephanie Ling, Jennifer Y. Tan, Mary A. McLean, Vinay Ayyappan, Ines Horvat Menih, Cara Brodie, Jodi L. Miller, Ian G. Mills, Vincent J. Gnanapragasam, Anne Y. Warren, Simon T. Barry, Richard J. A. Goodwin, Tristan Barrett, Ferdia A. Gallagher
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-22 (2024)
Abstract Hyperpolarised magnetic resonance imaging (HP-13C-MRI) has shown promise as a clinical tool for detecting and characterising prostate cancer. Here we use a range of spatially resolved histological techniques to identify the biological mechan
Externí odkaz:
https://doaj.org/article/5d269719830146bfb19310f180c8fbe9
Autor:
Nikita Sushentsev, Luis Abrego, Anna Colarieti, Nimalan Sanmugalingam, Arnaldo Stanzione, Jeries Paolo Zawaideh, Iztok Caglic, Alexey Zaikin, Oleg Blyuss, Tristan Barrett
Publikováno v:
European Urology Open Science, Vol 52, Iss , Pp 36-39 (2023)
The global uptake of prostate cancer (PCa) active surveillance (AS) is steadily increasing. While prostate-specific antigen density (PSAD) is an important baseline predictor of PCa progression on AS, there is a scarcity of recommendations on its use
Externí odkaz:
https://doaj.org/article/ed6d71263810432db5a68dff9a1b7302
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-2 (2024)
Externí odkaz:
https://doaj.org/article/78a1da2db6d94ba78aaa807738e71b0b
Autor:
Nikita Sushentsev, Nadia Moreira Da Silva, Michael Yeung, Tristan Barrett, Evis Sala, Michael Roberts, Leonardo Rundo
Publikováno v:
Insights into Imaging, Vol 13, Iss 1, Pp 1-17 (2022)
Abstract Objectives We systematically reviewed the current literature evaluating the ability of fully-automated deep learning (DL) and semi-automated traditional machine learning (TML) MRI-based artificial intelligence (AI) methods to differentiate c
Externí odkaz:
https://doaj.org/article/2babc3bba97b48d6bc2fee33fdf3a514
Autor:
Nikita Sushentsev, Mary A. McLean, Anne Y. Warren, Arnold J. V. Benjamin, Cara Brodie, Amy Frary, Andrew B. Gill, Julia Jones, Joshua D. Kaggie, Benjamin W. Lamb, Matthew J. Locke, Jodi L. Miller, Ian G. Mills, Andrew N. Priest, Fraser J. L. Robb, Nimish Shah, Rolf S. Schulte, Martin J. Graves, Vincent J. Gnanapragasam, Kevin M. Brindle, Tristan Barrett, Ferdia A. Gallagher
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-12 (2022)
Your paper will be accompanied by the following editor’s summary. Please let us know if there are any inaccuracies: ‘Hyperpolarised ¹³C-MRI is used to image cancer metabolism. Here the authors use this technique in prostate cancer and show that
Externí odkaz:
https://doaj.org/article/e123d7318aa540b1a93cc058ead13ca5
Autor:
Nikita Sushentsev, Leonardo Rundo, Oleg Blyuss, Vincent J. Gnanapragasam, Evis Sala, Tristan Barrett
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract Nearly half of patients with prostate cancer (PCa) harbour low- or intermediate-risk disease considered suitable for active surveillance (AS). However, up to 44% of patients discontinue AS within the first five years, highlighting the unmet
Externí odkaz:
https://doaj.org/article/2360cbf0331a41b6971d9ab39fa8b035
Autor:
Nikita Sushentsev, Joshua D. Kaggie, Guido Buonincontri, Rolf F. Schulte, Martin J. Graves, Vincent J. Gnanapragasam, Tristan Barrett
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-9 (2020)
Abstract Magnetic resonance fingerprinting (MRF) is a rapidly developing fast quantitative mapping technique able to produce multiple property maps with reduced sensitivity to motion. MRF has shown promise in improving the diagnosis of clinically sig
Externí odkaz:
https://doaj.org/article/81c721663a3f4bd69a1302e777813715
Publikováno v:
PLoS ONE, Vol 16, Iss 1, p e0245970 (2021)
Facilitating clinical translation of quantitative imaging techniques has been suggested as means of improving interobserver agreement and diagnostic accuracy of multiparametric magnetic resonance imaging (mpMRI) of the prostate. One such technique, m
Externí odkaz:
https://doaj.org/article/162d2ea3241e4e50bc7e29d388a67500
Autor:
Nikita Sushentsev, Mary A. McLean, Anne Y. Warren, Arnold J. V. Benjamin, Cara Brodie, Amy Frary, Andrew B. Gill, Julia Jones, Joshua D. Kaggie, Benjamin W. Lamb, Matthew J. Locke, Jodi L. Miller, Ian G. Mills, Andrew N. Priest, Fraser J. L. Robb, Nimish Shah, Rolf F. Schulte, Martin J. Graves, Vincent J. Gnanapragasam, Kevin M. Brindle, Tristan Barrett, Ferdia A. Gallagher
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-1 (2022)
Externí odkaz:
https://doaj.org/article/a09e47bcae5743258611ebc46d4f4615
Autor:
Nikita Sushentsev, Leonardo Rundo, Luis Abrego, Zonglun Li, Tatiana Nazarenko, Anne Y. Warren, Vincent J. Gnanapragasam, Evis Sala, Alexey Zaikin, Tristan Barrett, Oleg Blyuss
Abstract Serial MRI is an essential assessment tool in prostate cancer (PCa) patients enrolled on active surveillance (AS). However, it has only moderate sensitivity for predicting histopathological tumour progression at follow-up, which is in part d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a95cd634332ada01abf2a6085ac242a
https://www.repository.cam.ac.uk/handle/1810/349798
https://www.repository.cam.ac.uk/handle/1810/349798
