Patrick C Brennan
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Explore the profile of Patrick C Brennan including associated specialties, affiliations and a list of published articles.
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132
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1093
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Recent Articles
11.
Tao X, Li T, Gandomkar Z, Brennan P, Reed W
Asia Pac J Clin Oncol
. 2023 Apr;
19(6):645-654.
PMID: 37026375
Breast cancer was the most diagnosed malignant neoplasm and the second leading cause of cancer mortality among Chinese females in 2020. Increased risk factors and widespread adoption of westernized lifestyles...
12.
Trieu P, Xiao Q, Gu Y, Lewis S, Barron M, Tapia K, et al.
J Med Imaging (Bellingham)
. 2023 Mar;
10(2):025502.
PMID: 36992870
Purpose: This study aims to investigate the diagnostic performances of Australian and Shanghai-based Chinese radiologists in reading full-field digital mammogram (FFDM) and digital breast tomosynthesis (DBT) with different levels of...
13.
Ibrahim M, Suleiman M, Gandomkar Z, Tavakoli Taba A, Arnott C, Jorm L, et al.
J Womens Health (Larchmt)
. 2023 Mar;
32(5):529-545.
PMID: 36930147
Cardiovascular diseases (CVD), including coronary artery disease (CAD), continue to be the leading cause of global mortality among women. While traditional CVD/CAD prevention tools play a significant role in reducing...
14.
Trieu P, Borecky N, Li T, Brennan P, Barron M, Lewis S
Cancers (Basel)
. 2023 Feb;
15(4).
PMID: 36831680
Background: This study aims to investigate the diagnostic efficacy of radiologists when reading screening mammograms in the absence of previous images, and with the presence of prior images from the...
15.
Trieu P, Noakes J, Li T, Borecky N, Brennan P, Barron M, et al.
Br J Radiol
. 2023 Feb;
96(1145):20220704.
PMID: 36802348
Objective: The study aims to evaluate the diagnostic efficacy of radiologists and radiology trainees in digital breast tomosynthesis (DBT) alone DBT plus synthesized view (SV) for an understanding of the...
16.
Dimmock M, McKinley J, Massey A, Hausermann D, Tam N, Stewart E, et al.
Br J Radiol
. 2022 Mar;
95(1138):20211243.
PMID: 35230134
Objective: To design a device that can support the breast during phase-contrast tomography, and characterise its fit parameterisation and comfort rating. Methods: 27 participants were recruited to trial a system...
17.
Gandomkar Z, Lewis S, Li T, Ekpo E, Brennan P
Breast Cancer
. 2022 Feb;
29(4):589-598.
PMID: 35122217
Objectives: Proposing a machine learning model to predict readers' performances, as measured by the area under the receiver operating characteristics curve (AUC) and lesion sensitivity, using the readers' characteristics. Methods:...
18.
Hooshmand S, Reed W, Suleiman M, Brennan P
J Med Imaging Radiat Sci
. 2021 Dec;
53(1):147-158.
PMID: 34969620
Introduction/background: In medical imaging a benefit to risk analysis is required when justifying or implementing diagnostic procedures. Screening mammography is no exception and in particular concerns around the use of...
19.
Li T, Gandomkar Z, Trieu P, Lewis S, Brennan P
Asia Pac J Clin Oncol
. 2021 Nov;
18(4):441-447.
PMID: 34811880
Introduction: In many western countries, there is good evidence documenting the performance of radiologists reading digital breast tomosynthesis (DBT) images. However, the diagnostic efficiency of Chinese radiologists using DBT, particularly...
20.
Mammography-based Radiomics in Breast Cancer: A Scoping Review of Current Knowledge and Future Needs
Siviengphanom S, Gandomkar Z, Lewis S, Brennan P
Acad Radiol
. 2021 Nov;
29(8):1228-1247.
PMID: 34799256
Rationale And Objectives: Breast cancer is a highly complex heterogeneous disease. Current validated prognostic factors (e.g., histological grade, lymph node involvement, receptor status, and proliferation index), as well as multigene...