Search Results - "Warren, Lucy"

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

“…Purpose The purpose of this study was to measure the threshold diameter of calcifications and masses for 2D imaging, digital breast tomosynthesis (DBT), and…”
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OPTIMAM Mammography Image Database: A Large-Scale Resource of Mammography Images and Clinical Data by Halling-Brown, Mark D, Warren, Lucy M, Ward, Dominic, Lewis, Emma, Mackenzie, Alistair, Wallis, Matthew G, Wilkinson, Louise S, Given-Wilson, Rosalind M, McAvinchey, Rita, Young, Kenneth C

“…Supplemental material is available for this article. Supplemental material is available for this article…”
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Virtual clinical trial to compare cancer detection using combinations of 2D mammography, digital breast tomosynthesis and synthetic 2D imaging by Mackenzie, Alistair, Thomson, Emma L., Mitchell, Melissa, Elangovan, Premkumar, van Ongeval, Chantal, Cockmartin, Lesley, Warren, Lucy M., Wilkinson, Louise S., Wallis, Matthew G., Given-Wilson, Rosalind M., Dance, David R., Young, Kenneth C.

“…Objectives This study was designed to compare the detection of subtle lesions (calcification clusters or masses) when using the combination of digital breast…”
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Radiation risk of breast screening in England with digital mammography by Warren, Lucy M, Dance, David R, Young, Kenneth C

“…To estimate the risks and benefits of breast screening in terms of number of deaths due to radiation-induced cancers and the number of lives saved owing to…”
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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 by Burnside, Elizabeth S., Warren, Lucy M., Myles, Jonathan, Wilkinson, Louise S., Wallis, Matthew G., Patel, Mishal, Smith, Robert A., Young, Kenneth C., Massat, Nathalie J., Duffy, Stephen W.

“…Background This study investigates whether quantitative breast density (BD) serves as an imaging biomarker for more intensive breast cancer screening by…”
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Development and validation of a modelling framework for simulating 2D-mammography and breast tomosynthesis images by Elangovan, Premkumar, Warren, Lucy M, Mackenzie, Alistair, Rashidnasab, Alaleh, Diaz, Oliver, Dance, David R, Young, Kenneth C, Bosmans, Hilde, Strudley, Celia J, Wells, Kevin

“…Planar 2D x-ray mammography is generally accepted as the preferred screening technique used for breast cancer detection. Recently, digital breast tomosynthesis…”
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Lessons learned from independent external validation of an AI tool to detect breast cancer using a representative UK data set by Cushnan, Dominic, Young, Kenneth C, Ward, Dominic, Halling-Brown, Mark D, Duffy, Stephen, Given-Wilson, Rosalind, Wallis, Matthew G, Wilkinson, Louise, Lyburn, Iain, Sidebottom, Richard, McAvinchey, Rita, Lewis, Emma B, Mackenzie, Alistair, Warren, Lucy M

“…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…”
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Mammography cancer detection: comparison of single 8MP and pair of 5MP reporting monitors by Strudley, Cecilia J, Young, Kenneth C, Warren, Lucy M

“…To compare breast cancer detection using a single 8MP display with using a standard pair of 5MP monitors. An observer study was carried out in which mammograms…”
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VALIDATION OF A SIMULATION PROCEDURE FOR GENERATING BREAST TOMOSYNTHESIS PROJECTION IMAGES by Petersson, Hannie, Warren, Lucy M, Tingberg, Anders, Dustler, Magnus, Timberg, Pontus

“…In order to achieve optimal diagnostic performance in breast tomosynthesis (BT) imaging, the parameters of the imaging chain should be evaluated. For the…”
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Breast cancer detection rates using four different types of mammography detectors by Mackenzie, Alistair, Warren, Lucy M., Wallis, Matthew G., Cooke, Julie, Given-Wilson, Rosalind M., Dance, David R., Chakraborty, Dev P., Halling-Brown, Mark D., Looney, Padraig T., Young, Kenneth C.

“…Objective To compare the performance of different types of detectors in breast cancer detection. Methods A mammography image set containing subtle malignant…”
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Deep Learning for Breast Cancer Risk Prediction: Application to a Large Representative UK Screening Cohort by Ellis, Sam, Gomes, Sandra, Trumble, Matthew, Halling-Brown, Mark D, Young, Kenneth C, Chaudhry, Nouman S, Harris, Peter, Warren, Lucy M

“…Purpose To develop an artificial intelligence (AI) deep learning tool capable of predicting future breast cancer risk from a current negative screening…”
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The effect of image processing on the detection of cancers in digital mammography by Warren, Lucy M, Given-Wilson, Rosalind M, Wallis, Matthew G, Cooke, Julie, Halling-Brown, Mark D, Mackenzie, Alistair, Chakraborty, Dev P, Bosmans, Hilde, Dance, David R, Young, Kenneth C

“…OBJECTIVE. The objective of our study was to investigate the effect of image processing on the detection of cancers in digital mammography images. MATERIALS…”
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Effect of image quality on calcification detection in digital mammography by Warren, Lucy M., Mackenzie, Alistair, Cooke, Julie, Given-Wilson, Rosalind M., Wallis, Matthew G., Chakraborty, Dev P., Dance, David R., Bosmans, Hilde, Young, Kenneth C.

“…Purpose: This study aims to investigate if microcalcification detection varies significantly when mammographic images are acquired using different image…”
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The relationship between cancer detection in mammography and image quality measurements by Mackenzie, Alistair, Warren, Lucy M, Wallis, Matthew G, Given-Wilson, Rosalind M, Cooke, Julie, Dance, David R, Chakraborty, Dev P, Halling-Brown, Mark D, Looney, Padraig T, Young, Kenneth C

“…Highlights • Calcification cluster detection is related to image quality measured by CDMAM phantom. • CDMAM tests discriminate between clinically acceptable…”
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Optimising the diagnostic accuracy of First post-contrAst SubtracTed breast MRI (FAST MRI) through interpretation-training: a multicentre e-learning study, mapping the learning curve of NHS Breast Screening Programme (NHSBSP) mammogram readers using an enriched dataset by Jones, Lyn I, Marshall, Andrea, Geach, Rebecca, Elangovan, Premkumar, O'Flynn, Elizabeth, Timlin, Tony, McKeown-Keegan, Sadie, Rose, Janice, Vinnicombe, Sarah, Taylor-Phillips, Sian, Halling-Brown, Mark, Dunn, Janet A

“…Abbreviated breast MRI (FAST MRI) is being introduced into clinical practice to screen women with mammographically dense breasts or with a personal history of…”
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Optimising the diagnostic accuracy of First post-contrAst SubtracTed breast MRI mammogram readers using an enriched dataset by Jones, Lyn I, Marshall, Andrea, Geach, Rebecca, Elangovan, Premkumar, O'Flynn, Elizabeth, Timlin, Tony, McKeown-Keegan, Sadie, Rose, Janice, Vinnicombe, Sarah, Taylor-Phillips, Sian, Halling-Brown, Mark, Dunn, Janet A, Alison, Clare, Atkinson, Karen, Barta, Miklos, Beckett, Gemini, Betancourt, Claudia, Bramwell, Julie, Brown, Holly, Burt, Helen, Cann, Louise, Carter, Nick, Cartledge, Claire, Ceney, Jane, Clark, Gillian, Cornford, Eleanor, Cullimore, Elizabeth, Cu, Dalgliesh, Diana, Delve, Jonathon, Doyle, Sarah, Duncan, Alison, Elbert, Holly, Fearn, Sarah, Foy, Christopher, Friedrich, Zsolt, Ghiasvand, Hesam, Gifford, John, Godden, Dagmar, Goldthorpe, Zoe, Gomes, Sandra, Goud, Narayan Aradhana, Gray, Rosie, Harding, Sam A, Henning, Kristin, Hobson, Lucinda, Hulme, Claire, Hynam, Paula, Imane, El Sanharawi, Jackson, Emma, Jaffa, Asif, Jhalla, Ragini, Jones, Thomas William, Kamangari, Nahid, Kaur, Vandana, Kingsnorth, Beckie, Klimczak, Katherine, Kutt, Elisabeth, Litton, Karen, Lloyd, Simon, Lyburn, Iain, Mahatma, Anjum, Mankelow, Anna, Massey, Helen, Matthews, Helen, McFeely, Karis, McLachlan, Clare, McWilliams, Sarah, Mohammadi, Shahrooz, Moody, Alice, Muscat, Elizabeth, Perrin, Sarah, Peters, Alison, Pocklington, Alice, Preston, Elizabeth, Rai, Jasvinder, Robson, Jo, Salter, Corri, Scanlon, Toni, Shrestha, Anuma, Sidebottom, Richard, Sinclair, Mary, Singamaneni, Sravya, Steel, Jim, Stephenson, Lesley, Stewart-Maggs, Sam, Stubbs, Cheryl, Taylor, Michelle, Taylor, Victoria, Taylor-Fry, Olivia, Toth, Erika, Trumble, Matthew, Valencia, Alexandra, Vincent, Frances, Wang, Anna, Warren, Lucy, Watkin, Sharon, Widdison, Sue, Williams, Jennifer, Wookey, Jennifer

“…Background Abbreviated breast MRI (FAST MRI) is being introduced into clinical practice to screen women with mammographically dense breasts or with a personal…”
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Breast cancer detection rates using four different types of mammography detector by Mackenzie, Alistair, Warren, Lucy M., Wallis, Matthew G., Cooke, Julie, Given-Wilson, Rosalind M., Dance, David R., Chakraborty, Dev P., Halling-Brown, Mark D., Looney, Padraig T., Young, Kenneth C.

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British Society of Breast Radiology Annual Scientific Meeting 2016: Manchester, UK. 6-8 November 2016 by Azmil, Ameerah Mohd, Bansal, Gaurav Jyoti, Davies, Eleri, Wallis, Matthew, Kilburn-Toppin, Fleur, Taylor-Phillip, Sian, Buckley, Anne, Healy, Nuala, Quinn, Aine, O’Keeffe, Sylvia, Ang, Teri, Maxwell, Anthony, Lim, Yit Y., Harkness, Elaine, Emsley, Richard, Astley, Susan, Gadde, Soujanya, Ferguson, Jennifer, Stevens, Guy, Hills, Robert, Thomas, Kate Gower, Rajan, Sabrina, Sharma, Nisha, Kishore, Ajit, O’ Dowd, John, Murphy, Claire, Lindsay, Ken, Dadayal, Guneesh, Moody, Anne Nielsen, Whitaker, Madeleine, Wolstenhulme, Stephen, Bull, Jane, Culpan, Anne-Marie, Roszkowski, Natalia, Grima, Alexis, Stahnke, Michaela, Rubin, Caroline, Walker, Ruth, Oeppen, Rachel, Puttagunta, Srikanth, Gray, Karen, Puri, Shama, Millican-Slater, Rebecca, Pascaline, Sana, Hajaj, Mohamad, Flinn, Janet, Thomson, Kim, Elsberger, Beatrix, Turnbull, Anne, Bagnall, Mark, York, Joanne, Benney, Stuart, Goyal, Amit, Topps, Ashley, Barr, Simon, Pikoulas, Panagiotis, Pritchard, Susan, Greenhalgh, Sophie, Sreenivas, Muthyala, Nandhra, Anju, Sharma, Sheetal, Gulati, Archita, Razzaq, Furhan, Khan, Sana, McKillen, Jacqueline, Larkin, Rupert, Kamat, Sachin, Goncalves, Carla, Tan, Alan, Eleti, Asha, Vidyaprakash, Nithya, McMahon, Michelle A., Dall, Barbara J. G., Majid, Faisal, Rattehalli, Ramachadra, Gaur, Vandana, Mackenzie, Alistair, Warren, Lucy, Patel, Mishal, Halling-Brown, Mark, Wilkinson, Louise, Young, Kenneth, Tanner, James, Currie, Rachael, Balyes, Sharron, Wragg, Julie, Zamfir, Georgiana, Ayra, Pallavi, Marsden, Max, Butterworth, James, Sinha, Shona, Desai, Anil, Metafa, Anna, Nielsen-Moody, Anne, Ward, Laura, Heller, Samantha, Hudson, Sue, Taylor, Kathryn, Xyda, Argyro, Allen, Steven

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Simulation of Calcification Clusters in Observer Performance Studies for Optimisation of Digital Mammography by Warren, Lucy M

“…Breast cancer is the most common cancer in women in the UK. Breast screening using mammography imaging is performed to detect cancers early and reduce the…”
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Simulation of Calcification Clusters in Observer Performance Studies for Optimisation of Digital Mammography by Warren, Lucy M

“…Breast cancer is the most common cancer in women in the UK. Breast screening using mammography imaging is performed to detect cancers early and reduce the…”
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