Zobrazeno 1 - 10
of 266
pro vyhledávání: '"Emily F, Conant"'
Autor:
Anne Marie McCarthy, Claudia Fernandez Perez, Rinad S. Beidas, Justin E. Bekelman, Daniel Blumenthal, Elizabeth Mack, Anna-Marika Bauer, Sarah Ehsan, Emily F. Conant, Bernadette C. Wheeler, Carmen E. Guerra, Linda W. Nunes, Peter Gabriel, Abigail Doucette, E. Paul Wileyto, Alison M. Buttenheim, David A. Asch, Katharine A. Rendle, Rachel C. Shelton, Oluwadamilola M. Fayanju, Sue Ware, Martina Plag, Steven Hyland, Tracy Gionta, Lawrence N. Shulman, Robert Schnoll
Publikováno v:
Implementation Science, Vol 18, Iss 1, Pp 1-12 (2023)
Abstract Background Increased breast density augments breast cancer risk and reduces mammography sensitivity. Supplemental breast MRI screening can significantly increase cancer detection among women with dense breasts. However, few women undergo thi
Externí odkaz:
https://doaj.org/article/476afdb08c2a4324abade7cffd294ac1
Publikováno v:
Breast Cancer Research, Vol 24, Iss 1, Pp 1-12 (2022)
Abstract Background Improved breast cancer risk assessment models are needed to enable personalized screening strategies that achieve better harm-to-benefit ratio based on earlier detection and better breast cancer outcomes than existing screening gu
Externí odkaz:
https://doaj.org/article/e898862f74a74e5d9d72bc045fed7b18
Autor:
Anne Marie McCarthy, Tara Friebel‐Klingner, Sarah Ehsan, Wei He, Michaela Welch, Jinbo Chen, Despina Kontos, Susan M. Domchek, Emily F. Conant, Alan Semine, Kevin Hughes, Aditya Bardia, Constance Lehman, Katrina Armstrong
Publikováno v:
Cancer Medicine, Vol 10, Iss 18, Pp 6456-6467 (2021)
Abstract Background Breast cancer is a heterogeneous disease, divided into subtypes based on the expression of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2). Subtypes have different biology an
Externí odkaz:
https://doaj.org/article/826a298ec7164d739ab994fd07564bb3
Autor:
Gordon P. Watt, Janice Sung, Elizabeth A. Morris, Saundra S. Buys, Angela R. Bradbury, Jennifer D. Brooks, Emily F. Conant, Susan P. Weinstein, Despina Kontos, Meghan Woods, Sarah V. Colonna, Xiaolin Liang, Matthew A. Stein, Malcolm C. Pike, Jonine L. Bernstein
Publikováno v:
Breast Cancer Research, Vol 22, Iss 1, Pp 1-12 (2020)
Abstract Background Background parenchymal enhancement (BPE) on breast magnetic resonance imaging (MRI) may be associated with breast cancer risk, but previous studies of the association are equivocal and limited by incomplete blinding of BPE assessm
Externí odkaz:
https://doaj.org/article/5b551642087c4a1ab8915b22c336cacf
Autor:
Brandon Gaitan, Collin Inglut, Udayakumar Kanniyappan, He N. Xu, Emily F. Conant, Lucas Frankle, Lin Z. Li, Yu Chen, Huang-Chiao Huang
Publikováno v:
Metabolites, Vol 12, Iss 11, p 1097 (2022)
Breast cancer is the most diagnosed cancer type in women, with it being the second most deadly cancer in terms of total yearly mortality. Due to the prevalence of this disease, better methods are needed for both detection and treatment. Reduced nicot
Externí odkaz:
https://doaj.org/article/0977d47ef25d4728b72ba3e5b42534ae
Publikováno v:
Journal of Clinical Oncology. 41:2536-2545
PURPOSE Image-derived artificial intelligence–based short-term risk models for breast cancer have shown high discriminatory performance compared with traditional lifestyle/familial-based risk models. The long-term performance of image-derived risk
Autor:
Aimilia Gastounioti, Eric A. Cohen, Lauren Pantalone, Sarah Ehsan, Sanjana Vasudevan, Avinash Kurudi, Emily F. Conant, Jinbo Chen, Despina Kontos, Anne Marie McCarthy
Publikováno v:
Breast Cancer Research and Treatment. 198:535-544
Publikováno v:
Seminars in Ultrasound, CT and MRI. 44:35-45
Autor:
Justin C. Brown, Jennifer A. Ligibel, Tracy E. Crane, Despina Kontos, Shengping Yang, Emily F. Conant, Julie A. Mack, Rexford S. Ahima, Kathryn H. Schmitz
Publikováno v:
Obesity. 31:479-486
Autor:
Stacey Winham, Anne Marie McCarthy, Aimilia Gastounioti, Christopher Scott, Aaron Norman, Walter C. Mankowski, Lauren Pantalone, Matthew Jensen, Eric A. Cohen, Hannah Horng, Kathleen Brandt, Emily F. Conant, Karla Kerlikowske, Despina Kontos, Celine Vachon
Publikováno v:
Cancer Research. 83:GS4-06
Breast parenchymal patterns on radiologic images are associated with breast cancer risk. Radiomic features have been proposed as quantitative measures of parenchymal patterns. We defined intrinsic imaging phenotypes of breast parenchymal patterns bas