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pro vyhledávání: '"Rowan Bullock"'
Autor:
Herbert A. Fritsche, Jon P. Kimball, Jaclyn Jeffrey, Elizabeth Carney, W. Jean Dodds, Rowan Bullock, Valerie Palmieri, Judy Morgan
Publikováno v:
Veterinary Medicine and Science
A veterinarian and pet owner survey (Project Jake) examined the use and safety of isoxazoline parasiticides given to dogs. Data were received during August 1–31, 2018 from a total of 2,751 survey responses. Forty‐two percent (1,157) reported no f
Autor:
Rowan Bullock, Lesley E. Northrop, Charles J. Dunton, Frederick R. Ueland, Megan L. Hutchcraft
Publikováno v:
Diagnostics
Diagnostics, Vol 11, Iss 1440, p 1440 (2021)
Volume 11
Issue 8
Diagnostics, Vol 11, Iss 1440, p 1440 (2021)
Volume 11
Issue 8
Background: Ovarian cancer is the deadliest gynecologic cancer, with no recommended screening test to assist with early detection. Cancer antigen 125 (CA125) is a serum biomarker commonly used by clinicians to assess preoperative cancer risk, but it
Publikováno v:
Future Oncology. 15:3047-3051
Aim: Based on evidence that African–American (AA) women have lower CA125 values than Caucasian (C) women, we investigated this to see if this disparity would have an impact on ovarian cancer detection using CA125 and multivariate index assay (MIA).
Autor:
Yitzhack Asulin, Charles J. Dunton, Victoria Haverbusch, James Done, Rowan Bullock, Daniel Ure, Marisa Debboli-Cop, Jessica Greenwood, Lesley Northrop
Publikováno v:
Journal of Clinical Oncology. 40:e17553-e17553
e17553 Background: The baseline risk for ovarian cancer in the general population is 1.2%1. However, women with germline variants in ovarian cancer-associated genes can have a much higher baseline risk for ovarian cancer, up to 54%2. Such a differenc
Autor:
Valerie Palmieri, Elizabeth Carney, Rowan Bullock, Herbert A. Fritsche, Jon P. Kimball, Jaclyn Jeffrey, W. Jean Dodds, Judy Morgan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f5802540d0aa25d24f0d21bc87e01a2
https://doi.org/10.1002/vms3.285/v4/response1
https://doi.org/10.1002/vms3.285/v4/response1
Publikováno v:
Future oncology (London, England). 15(33)
Aims: Adnexal mass risk assessment (AMRA) stratifies patients with adnexal masses, identifying the relatively small number of malignancies from benigns which might take a ‘watchful waiting’ approach. Methods: AMRA uses seven biomarkers and derive
Publikováno v:
Biomarkers in Cancer, Vol 11 (2019)
Biomarkers in Cancer
Biomarkers in Cancer
Objective: To review and analyze the serum values of risk of ovarian malignancy algorithm (ROMA) and multivariate index assay (MIA) in subgroups of women who underwent surgery for adnexal masses to determine sensitivity, specificity, and positive and
Publikováno v:
Journal of Clinical Oncology. 39:5551-5551
5551 Background: A Deep learning neural network was developed to assess ovarian cancer risk in women presenting with adnexal mass into risk categories. The algorithm shows potential to improve on the performance of CA-125 as the standard biomarker to
Publikováno v:
Cancer Research. 79:3339-3339
Objective: Review and analyze serum values of Risk of Ovarian Malignancy Algorithm (ROMA) and Multivariate Index Assay (MIA) in subgroups of women who underwent surgery for adnexal masses to determine sensitivity in different ethnic populations. Meth