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Caroline M. Moore
Researcher at University College London
Publications - 279
Citations - 9808
Caroline M. Moore is an academic researcher from University College London. The author has contributed to research in topics: Prostate cancer & Cancer. The author has an hindex of 38, co-authored 228 publications receiving 7140 citations. Previous affiliations of Caroline M. Moore include University College London Hospitals NHS Foundation Trust & Croydon University Hospital.
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Journal ArticleDOI
MRI-Targeted or Standard Biopsy for Prostate-Cancer Diagnosis
Veeru Kasivisvanathan,Antti Rannikko,Marcelo Borghi,Valeria Panebianco,Lance A. Mynderse,Markku H. Vaarala,Alberto Briganti,Lars Budäus,Giles Hellawell,Richard G. Hindley,Monique J. Roobol,Scott E. Eggener,Maneesh Ghei,Arnauld Villers,Franck Bladou,Geert M. Villeirs,Jaspal Virdi,S. Boxler,Grégoire Robert,Paras B. Singh,Wulphert Venderink,Boris Hadaschik,Alain Ruffion,Jim C. Hu,Daniel Margolis,Sebastien Crouzet,Laurence Klotz,Samir S. Taneja,Peter A. Pinto,Inderbir S. Gill,Clare Allen,Francesco Giganti,Alex Freeman,Stephen Morris,Shonit Punwani,Norman R. Williams,Chris Brew-Graves,Jonathan J Deeks,Yemisi Takwoingi,Mark Emberton,Caroline M. Moore +40 more
TL;DR: The use of risk assessment with MRI before biopsy and MRI‐targeted biopsy was superior to standard transrectal ultrasonography–guided biopsy in men at clinical risk for prostate cancer who had not undergone biopsy previously.
Journal ArticleDOI
Image-guided prostate biopsy using magnetic resonance imaging-derived targets: a systematic review.
Caroline M. Moore,Caroline M. Moore,Nicola L. Robertson,Nasr Arsanious,Thomas Middleton,Arnauld Villers,Laurence Klotz,Samir S. Taneja,Mark Emberton +8 more
TL;DR: MRI-guided biopsy detects clinically significant prostate cancer in an equivalent number of men versus standard biopsy using fewer biopsies in fewer men, with a reduction in the diagnosis of clinically insignificant cancer.
Journal ArticleDOI
Standards of Reporting for MRI-targeted Biopsy Studies (START) of the Prostate: Recommendations from an International Working Group.
Caroline M. Moore,Veeru Kasivisvanathan,Scott E. Eggener,Mark Emberton,Jurgen J. Fütterer,Inderbir S. Gill,Robert L. Grubb,Boris Hadaschik,Laurence Klotz,Daniel Margolis,Leonard S. Marks,Jonathan Melamed,Aytekin Oto,Suzanne L. Palmer,Peter A. Pinto,Philippe Puech,Shonit Punwani,Andrew B. Rosenkrantz,Ivo G. Schoots,Richard Simon,Samir S. Taneja,Baris Turkbey,Osamu Ukimura,Jan van der Meulen,Arnauld Villers,Yuji Watanabe +25 more
TL;DR: Use of the START checklist would improve the quality of reporting in MRI-targeted biopsy studies and facilitate a comparison between standard and MRI- targeted approaches.
Journal ArticleDOI
Weakly-supervised convolutional neural networks for multimodal image registration.
Yipeng Hu,Yipeng Hu,Marc Modat,Eli Gibson,Wenqi Li,Nooshin Ghavami,Ester Bonmati,Guotai Wang,Steven Bandula,Caroline M. Moore,Mark Emberton,Sebastien Ourselin,J. Alison Noble,Dean C. Barratt,Tom Vercauteren +14 more
TL;DR: The proposed end‐to‐end convolutional neural network approach aims to predict displacement fields to align multiple labelled corresponding structures for individual image pairs during the training, while only unlabelled image pairs are used as the network input for inference.
Journal ArticleDOI
Magnetic Resonance Imaging in Active Surveillance of Prostate Cancer: A Systematic Review
Ivo G. Schoots,Neophytos Petrides,Francesco Giganti,Leonard P. Bokhorst,Antti Rannikko,Laurence Klotz,Arnauld Villers,Jonas Hugosson,Caroline M. Moore,Caroline M. Moore +9 more
TL;DR: MRI is useful for detection of clinically significant disease at initial assessment of men considering active surveillance, but to use MRI as a monitoring tool in surveillance, it will be necessary to define both radiological significance and radiological progression.