Patrick C Brennan
Overview
Explore the profile of Patrick C Brennan including associated specialties, affiliations and a list of published articles.
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132
Citations
1093
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Recent Articles
1.
Siviengphanom S, Brennan P, Lewis S, Trieu P, Gandomkar Z
J Imaging Inform Med
. 2024 Oct;
PMID: 39407048
This study aims to investigate whether global mammographic radiomic features (GMRFs) can distinguish hardest- from easiest-to-interpret normal cases for radiology trainees (RTs). Data from 137 RTs were analysed, with each...
2.
Tao X, Gandomkar Z, Li T, Brennan P, Reed W
Br J Radiol
. 2024 Oct;
98(1165):75-88.
PMID: 39383202
Objectives: This study aims to investigate radiologists' interpretation errors when reading dense screening mammograms using a radiomics-based artificial intelligence approach. Methods: Thirty-six radiologists from China and Australia read 60 dense...
3.
Tao X, Reed W, Li T, Brennan P, Gandomkar Z
J Med Imaging (Bellingham)
. 2024 Oct;
11(5):055502.
PMID: 39372519
Purpose: Accurate interpretation of mammograms presents challenges. Tailoring mammography training to reader profiles holds the promise of an effective strategy to reduce these errors. This proof-of-concept study investigated the feasibility...
4.
Hooshmand S, Reed W, Suleiman M, Brennan P
BJR Open
. 2024 Mar;
4(1):20220028.
PMID: 38525172
Objectives: adiation isk n ammography creening () builds on the prototype, formerly known as Breast-iRRISC, to develop a model that aims to establish a dose and risk profile for females...
5.
Siviengphanom S, Lewis S, Brennan P, Gandomkar Z
Br J Radiol
. 2024 Jan;
97(1153):168-179.
PMID: 38263826
Objective: Radiologists can detect the gist of abnormal based on their rapid initial impression on a mammogram (ie, global gist signal [GGS]). This study explores (1) whether global radiomic (ie,...
6.
Hooshmand S, Reed W, Suleiman M, Brennan P
Br J Radiol
. 2023 Sep;
96(1152):20230250.
PMID: 37750941
Objective: The adiation isk n ammography creening (RRIMS) model was introduced as a novel tool to help females accurately calculate their lifetime mean glandular dose (MGD) and estimate their population-level...
7.
Tao X, Gandomkar Z, Li T, Brennan P, Reed W
J Pers Med
. 2023 Jun;
13(6).
PMID: 37373877
Mammography interpretation is challenging with high error rates. This study aims to reduce the errors in mammography reading by mapping diagnostic errors against global mammographic characteristics using a radiomics-based machine...
8.
Rawashdeh M, Brennan P
Eur J Radiol Open
. 2023 Jun;
10:100498.
PMID: 37359179
Rationale And Objectives: to investigate the relationship between radiologists' experience in reporting mammograms, their caseloads, and the classification of category '3' or 'Probably Benign' on normal mammograms. Materials And Methods:...
9.
Siviengphanom S, Gandomkar Z, Lewis S, Brennan P
J Digit Imaging
. 2023 May;
36(4):1541-1552.
PMID: 37253894
This work aimed to investigate whether global radiomic features (GRFs) from mammograms can predict difficult-to-interpret normal cases (NCs). Assessments from 537 readers interpreting 239 normal mammograms were used to categorise...
10.
Gandomkar Z, Siviengphanom S, Suleiman M, Wong D, Reed W, Ekpo E, et al.
PLoS One
. 2023 Apr;
18(4):e0284605.
PMID: 37098013
Previous studies showed that radiologists can detect the gist of an abnormality in a mammogram based on a half-second image presentation through global processing of screening mammograms. This study investigated...