Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Eleftheria, Panagiotaki"'
Autor:
Marco Palombo, Vanya Valindria, Saurabh Singh, Eleni Chiou, Francesco Giganti, Hayley Pye, Hayley C. Whitaker, David Atkinson, Shonit Punwani, Daniel C. Alexander, Eleftheria Panagiotaki
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract This work presents a biophysical model of diffusion and relaxation MRI for prostate called relaxation vascular, extracellular and restricted diffusion for cytometry in tumours (rVERDICT). The model includes compartment-specific relaxation ef
Externí odkaz:
https://doaj.org/article/be152874c18a46fdbab712a92fa8a29f
Autor:
Saurabh Singh, Eoin Dinneen, Aiman Haider, Alex Freeman, Greg Shaw, Martyn Carter, Veeru Kasivisvanathan, Caroline M Moore, David Atkinson, Shonit Punwani, Lorna Smith, Daniel Alexander, Dominic Patel, Manju Mathew, Thomy Mertzanidou, Shipra Suman, Joey Clemente, Adam Retter, Marianthi-Vasiliki Papoutsaki, Francesco Grussu, Alistair Grey, Eleftheria Panagiotaki
Publikováno v:
BMJ Open, Vol 12, Iss 4 (2022)
Introduction Multiparametric MRI (mpMRI) is now widely used to risk stratify men with a suspicion of prostate cancer and identify suspicious regions for biopsy. However, the technique has modest specificity and a high false-positive rate, especially
Externí odkaz:
https://doaj.org/article/b43090c3418d45ba8d832214519080f2
Autor:
Francesco Grussu, Stefano B. Blumberg, Marco Battiston, Lebina S. Kakkar, Hongxiang Lin, Andrada Ianuş, Torben Schneider, Saurabh Singh, Roger Bourne, Shonit Punwani, David Atkinson, Claudia A. M. Gandini Wheeler-Kingshott, Eleftheria Panagiotaki, Thomy Mertzanidou, Daniel C. Alexander
Publikováno v:
Frontiers in Physics, Vol 9 (2021)
Purpose: We investigate the feasibility of data-driven, model-free quantitative MRI (qMRI) protocol design on in vivo brain and prostate diffusion-relaxation imaging (DRI).Methods: We select subsets of measurements within lengthy pilot scans, without
Externí odkaz:
https://doaj.org/article/dde3530e76cb45218a05c5fe9fae8da8
Autor:
Snigdha Sen, Vanya Valindria, Paddy J. Slator, Hayley Pye, Alistair Grey, Alex Freeman, Caroline Moore, Hayley Whitaker, Shonit Punwani, Saurabh Singh, Eleftheria Panagiotaki
Publikováno v:
Diagnostics, Vol 12, Iss 7, p 1631 (2022)
False positives on multiparametric MRIs (mp-MRIs) result in many unnecessary invasive biopsies in men with clinically insignificant diseases. This study investigated whether quantitative diffusion MRI could differentiate between false positives, true
Externí odkaz:
https://doaj.org/article/a7d389ff037142f4b0b8f851cb169611
Autor:
Saurabh Singh, Harriet Rogers, Baris Kanber, Joey Clemente, Hayley Pye, Edward W. Johnston, Tom Parry, Alistair Grey, Eoin Dinneen, Greg Shaw, Susan Heavey, Urszula Stopka-Farooqui, Aiman Haider, Alex Freeman, Francesco Giganti, David Atkinson, Caroline M. Moore, Hayley C. Whitaker, Daniel C. Alexander, Eleftheria Panagiotaki, Shonit Punwani
Publikováno v:
Radiology. 305:623-630
Background In men suspected of having prostate cancer (PCa), up to 50% of men with positive multiparametric MRI (mpMRI) findings (Prostate Imaging Reporting and Data System [PI-RADS] or Likert score of 3 or higher) have no clinically significant (Gle
Autor:
Colleen Bailey, David J. Collins, Nina Tunariu, Matthew R. Orton, Veronica A. Morgan, Thorsten Feiweier, David J. Hawkes, Martin O. Leach, Daniel C. Alexander, Eleftheria Panagiotaki
Publikováno v:
Frontiers in Oncology, Vol 8 (2018)
PurposeTo examine the usefulness of rich diffusion protocols with high b-values and varying diffusion time for probing microstructure in bone metastases. Analysis techniques including biophysical and mathematical models were compared with the clinica
Externí odkaz:
https://doaj.org/article/aa24ac2098dc44dbb9211d79c844d27c
Autor:
Matteo Figini, Antonella Castellano, Michele Bailo, Marcella Callea, Marcello Cadioli, Samira Bouyagoub, Marco Palombo, Valentina Pieri, Pietro Mortini, Andrea Falini, Daniel C. Alexander, Mara Cercignani, Eleftheria Panagiotaki
Publikováno v:
Cancers; Volume 15; Issue 9; Pages: 2490
The aim of this work was to extend the VERDICT-MRI framework for modelling brain tumours, enabling comprehensive characterisation of both intra- and peritumoural areas with a particular focus on cellular and vascular features. Diffusion MRI data were
Autor:
David Atkinson, Keith Burling, Peter Barker, Manuel Rodriguez-Justo, Urszula Stopka-Farooqui, Lina M. Carmona Echeverria, Aiman Haider, Eoin Dinneen, Mark Emberton, Hayley Pye, Hashim U. Ahmed, Joseph M. Norris, Mrishta Brizmohun Appayya, Greg Shaw, Caroline M. Moore, Hayley C. Whitaker, Alistair Grey, Joey Clemente, Shonit Punwani, Arash Latifoltojar, Alex Kirkham, Susan Heavey, Saurabh Singh, David J. Hawkes, N Stevens, Edward W. Johnston, Alex Freeman, Eleftheria Panagiotaki, Elly Pilavachi, Tony Ng, Benjamin S. Simpson, Elisenda Bonet-Carne, Dominic Patel, Daniel C. Alexander, Vasilis Stavrinides, Clare Allen, Teresita Beeston
Publikováno v:
Cancers, Vol 13, Iss 1985, p 1985 (2021)
Cancers
Volume 13
Issue 8
Cancers
Volume 13
Issue 8
Objectives: To assess the clinical outcomes of mpMRI before biopsy and evaluate the space remaining for novel biomarkers. Methods: The INNOVATE study was set up to evaluate the validity of novel fluidic biomarkers in men with suspected prostate cance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12d090d08ed7c626dc6f7671c66a642e
https://www.repository.cam.ac.uk/handle/1810/321433
https://www.repository.cam.ac.uk/handle/1810/321433
Autor:
Iasonas Kokkinos, Francesco Giganti, Vanya V. Valindria, Eleftheria Panagiotaki, Shonit Punwani, Eleni Chiou
VERDICT maps have shown promising results in clinical settings discriminating normal from malignant tissue and identifying specific Gleason grades non-invasively. However, the quantitative estimation of VERDICT maps requires a specific diffusion-weig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abdf1e8fd7fd8324fa77c83a323b64f0
https://doi.org/10.1101/2021.02.16.431521
https://doi.org/10.1101/2021.02.16.431521
Publikováno v:
Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health ISBN: 9783030877217
DART/FAIR@MICCAI
DART/FAIR@MICCAI
Any novel medical imaging modality that differs from previous protocols e.g. in the number of imaging channels, introduces a new domain that is heterogeneous from previous ones. This common medical imaging scenario is rarely considered in the domain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0686262cb0b6099abe56648e3a34d818
https://doi.org/10.1007/978-3-030-87722-4_9
https://doi.org/10.1007/978-3-030-87722-4_9