Výsledky vyhledávání - "Lucy M, Warren"

Lessons learned from independent external validation of an AI tool to detect breast cancer using a representative UK data set

Autor: Dominic, Cushnan, Kenneth, Young, Dominic, Ward, Mark, Halling-Brown, Stephen, Duffy, Rosalind, Given-Wilson, Matthew G, Wallis, Louise, Wilkinson, Iain, Lyburn, Richard, Sidebottom, Rita, McAvinchey, Emma B, Lewis, Alistair, Mackenzie, Lucy M, Warren

Publikováno v: The British Journal of Radiology. 96

Objective: To pilot a process for the independent external validation of an artificial intelligence (AI) tool to detect breast cancer using data from the NHS breast screening programme (NHSBSP). Methods: A representative data set of mammography image

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad489503935525c59ac0a6d958ed44f1
https://doi.org/10.1259/bjr.20211104

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Virtual clinical trial to compare cancer detection using combinations of 2D mammography, digital breast tomosynthesis and synthetic 2D imaging

Autor: Premkumar Elangovan, Rosalind M. Given-Wilson, Chantal Van Ongeval, Lesley Cockmartin, Matthew G. Wallis, Melissa Mitchell, Emma L. Thomson, Alistair Mackenzie, Kenneth C. Young, David R. Dance, Louise Wilkinson, Lucy M. Warren

Publikováno v: European Radiology. 32:806-814

OBJECTIVES: This study was designed to compare the detection of subtle lesions (calcification clusters or masses) when using the combination of digital breast tomosynthesis (DBT) and synthetic mammography (SM) with digital mammography (DM) alone or c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cb46982442d526e5cb25aa0c7d3703d
https://doi.org/10.1007/s00330-021-08197-x

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Quantitative breast density analysis to predict interval and node-positive cancers in pursuit of improved screening protocols: a case–control study

Autor: Matthew G. Wallis, Mishal N. Patel, Louise S. Wilkinson, Kenneth C. Young, Jonathan P. Myles, Lucy M. Warren, Elizabeth S. Burnside, Nathalie J. Massat, Stephen W. Duffy, Robert A. Smith

Publikováno v: British Journal of Cancer

Funder: Policy Research Unit in Cancer Awareness, Screening and early Diagnosis, PR-PRU-1217-21601
Funder: American Cancer Society NHPDCSGBR-GBRLONG Policy Research Unit in Cancer Awareness, Screening and early Diagnosis, PR-PRU-1217-21601

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a4ed3fca8e93f2844e0317f79ffe7f2
http://europepmc.org/articles/PMC8438060

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Effect of glandularity on the detection of simulated cancers in planar, tomosynthesis, and synthetic 2D imaging of the breast using a hybrid virtual clinical trial

Autor: Kenneth C. Young, David R. Dance, Alistair Mackenzie, Melissa Mitchell, Premkumar Elangovan, Sukhmanjit Kaur, Lucy M. Warren, Emma L. Thomson

Publikováno v: Medical physicsREFERENCES. 48(11)

PURPOSE The purpose of this study was to measure the threshold diameter of calcifications and masses for 2D imaging, digital breast tomosynthesis (DBT), and synthetic 2D images, for a range of breast glandularities. This study shows the limits of det

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37713aee7fd33ac682a35d92f1bb01a7
https://pubmed.ncbi.nlm.nih.gov/34496038

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Virtual clinical trial to compare cancer detection using combinations of 2D mammography, digital breast tomosynthesis and synthetic 2D imaging

Autor: Alistair, Mackenzie, Emma L, Thomson, Melissa, Mitchell, Premkumar, Elangovan, Chantal, van Ongeval, Lesley, Cockmartin, Lucy M, Warren, Louise S, Wilkinson, Matthew G, Wallis, Rosalind M, Given-Wilson, David R, Dance, Kenneth C, Young

Publikováno v: European radiology. 32(2)

This study was designed to compare the detection of subtle lesions (calcification clusters or masses) when using the combination of digital breast tomosynthesis (DBT) and synthetic mammography (SM) with digital mammography (DM) alone or combined with

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::36c3ef64e2f91ef5486b853d13adeefa
https://pubmed.ncbi.nlm.nih.gov/34331118

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Mammographic image quality assessment by a contrast-to-noise ratio for clinical images

Autor: Ralph Highnam, Nabeel Khan, Melissa L. Hill, Kaier Wang, Alistair Mackenzie, Lucy M. Warren

Publikováno v: 15th International Workshop on Breast Imaging (IWBI2020).

Purpose: To test the association between contrast-to-noise ratio (CNR) measurements made on digital mammograms (DM), human reader performance in a lesion detection task using the same images, and image quality (IQ) as predicted by phantom measurement

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::de2836df8b4b6462ceec6ff82b97eee4
https://doi.org/10.1117/12.2564355

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Deep learning to calculate breast density from processed mammography images

Autor: Matthew Trumble, Kenneth C. Young, Louise Wilkinson, Lucy M. Warren, Rosalind M. Given-Wilson, David R. Dance, Sandra Gomes, Mark D. Halling-Brown, Peter Harris

Publikováno v: 15th International Workshop on Breast Imaging (IWBI2020).

Purpose: To calculate continuous breast density measures from processed images using deep learning. Method: Processed and unprocessed mammograms were collected for 3251 women attending the UK NHS Breast Screening Programme (NHSBSP). The breast densit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8a58392c7f3c1040cd0b0d4a4b998e92
https://doi.org/10.1117/12.2561278

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OPTIMAM Mammography Image Database: A Large-Scale Resource of Mammography Images and Clinical Data

Autor: Matthew G. Wallis, Louise S. Wilkinson, Mark D. Halling-Brown, Kenneth C. Young, Emma Lewis, Lucy M. Warren, Alistair Mackenzie, Dominic Ward, Rita McAvinchey, Rosalind M. Given-Wilson

Publikováno v: Radiol Artif Intell

The OPTIMAM Mammography Image Database is a sharable resource with processed and unprocessed mammography images from United Kingdom breast screening centers, with annotated cancers and clinical det...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1724e5f57d410a3c9f1bdef8050bfcb4
https://pubmed.ncbi.nlm.nih.gov/33937853

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An observer study to assess the detection of calcification clusters using 2D mammography, digital breast tomosynthesis, and synthetic 2D imaging

Autor: Louise Wilkinson, Lucy M. Warren, Kenneth C. Young, David R. Dance, Chantal Van Ongeval, Lesley Cockmartin, Alistair Mackenzie, Matthew G. Wallis, Rosalind M. Given-Wilson, Premkumar Elangovan, Emma L. Thomson

Publikováno v: Medical Imaging: Image Perception, Observer Performance, and Technology Assessment

The purpose of the study is to test the performance of the combination of digital breast tomosynthesis (DBT) and synthetic views on the detection for cancers presenting as calcifications compared to the performance of planar mammography combined with

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b28fb8b0063df74483b57bfb4d015fa8
https://doi.org/10.1117/12.2506895

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Changes in breast density

Autor: Louise S. Wilkinson, Kenneth C. Young, Mark D. Halling-Brown, David R. Dance, Matthew G. Wallis, Rosalind M. Given-Wilson, Lucy M. Warren, Rita McAvinchey

Publikováno v: Medical Imaging: Image Perception, Observer Performance, and Technology Assessment

Purpose: To measure changes in breast density in a screening population. Method: Unprocessed mammograms were collected for 8,268 women (6034 and 2234 women with two and three sequential screening rounds respectively) with normal breasts (routine reca

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::56ad219fb41362b26b339b9d9acefa33
https://doi.org/10.1117/12.2512252

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