Výsledky vyhledávání - "Sara H, Javid"

Akademický článek

Clinicopathologic and sociodemographic factors associated with late relapse triple negative breast cancer in a multivariable logistic model: A multi-institution cohort study

Autor: Adith Abraham, Carlos H. Barcenas, Richard J. Bleicher, Adam L. Cohen, Sara H. Javid, Ellis G. Levine, Nancy U. Lin, Beverly Moy, Joyce C. Niland, Antonio C. Wolff, Michael J. Hassett, Sarah Asad, Daniel G. Stover

Publikováno v: Breast, Vol 67, Iss , Pp 89-93 (2023)

Background: Most metastatic recurrences of triple negative breast cancer (TNBC) occur within five years of diagnosis, yet late relapses of TNBC (lrTNBC) do occur. Our objective was to develop a risk prediction model of lrTNBC using readily available

Externí odkaz: https://doaj.org/article/5c83b462165b47969c3d65f9cfdccfde

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Akademický článek

Association between the 21-gene recurrence score and isolated locoregional recurrence in stage I-II, hormone receptor-positive breast cancer

Autor: David D. Yang, Daniela L. Buscariollo, Angel M. Cronin, Shicheng Weng, Melissa E. Hughes, Richard J. Bleicher, Adam L. Cohen, Sara H. Javid, Stephen B. Edge, Beverly Moy, Joyce C. Niland, Antonio C. Wolff, Michael J. Hassett, Rinaa S. Punglia

Publikováno v: Radiation Oncology, Vol 15, Iss 1, Pp 1-7 (2020)

Abstract Background Although the 21-gene recurrence score (RS) assay is widely used to predict distant recurrence risk and benefit from adjuvant chemotherapy among women with hormone receptor-positive (HR+) breast cancer, the relationship between the

Externí odkaz: https://doaj.org/article/d4bb13507ca44041af2782a5fdc08c31

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Preoperative Breast MRI: Current Evidence and Patient Selection

Autor: Diana M Christensen, Mariam N Shehata, Sara H Javid, Habib Rahbar, Diana L Lam

Publikováno v: Journal of Breast Imaging. 5:112-124

Breast MRI is the most sensitive imaging modality for the assessment of newly diagnosed breast cancer extent and can detect additional mammographically and clinically occult breast cancers in the ipsilateral and contralateral breasts. Nonetheless, ap

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::30834c1cc6ec2a9bff713a53901dfae6
https://doi.org/10.1093/jbi/wbac088

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Akademický článek

Improving the impact of clinical documentation through patient-driven co-design: experiences with cancer pathology reports

Autor: Elizabeth J Austin, Jenney R Lee, Cynthia W Ko, Mark R Kilgore, Elizabeth U Parker, Brandelyn Bergstedt, Anita I Mitchell, Sara H Javid, John L Gore

Publikováno v: BMJ Health & Care Informatics, Vol 27, Iss 3 (2020)

Objective With the unprecedented rise of patient access to clinical documentation through electronic health records, there is a need for health systems to understand best practices for redesigning clinical documentation to support patient needs. This

Externí odkaz: https://doaj.org/article/1b003b61a4bb4d09867398e2786ee55c

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Supplementary Information from Raman-Encoded Molecular Imaging with Topically Applied SERS Nanoparticles for Intraoperative Guidance of Lumpectomy

Autor: Jonathan T.C. Liu, Suzanne M. Dintzis, Sara H. Javid, Matthew A. Wall, Qian Yang, Adam K. Glaser, Soyoung Kang, Nicholas P. Reder, Yu 'Winston' Wang

Supplementary Information (5 sections): Study design; Review of prior studies to validate the technical robustness of REMI; Selection of cell-surface biomarkers for REMI of breast tumors; Spectral demultiplexing to quantify SERS NPs; Cell culture and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67f8afb929d75ce0f7e4e21eb1b5aee4
https://doi.org/10.1158/0008-5472.22414719.v1

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Data from Raman-Encoded Molecular Imaging with Topically Applied SERS Nanoparticles for Intraoperative Guidance of Lumpectomy

Autor: Jonathan T.C. Liu, Suzanne M. Dintzis, Sara H. Javid, Matthew A. Wall, Qian Yang, Adam K. Glaser, Soyoung Kang, Nicholas P. Reder, Yu 'Winston' Wang

Intraoperative identification of carcinoma at lumpectomy margins would enable reduced re-excision rates, which are currently as high as 20% to 50%. Although imaging of disease-associated biomarkers can identify malignancies with high specificity, mul

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0edc184d6e008f737af1d909b2f3f9a4
https://doi.org/10.1158/0008-5472.c.6509064.v1

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