Patrick Brennan
YOU?
Author Swipe
View article: Semi-Supervised Deep Learning-Based Model for Segmentation of Breast Arterial Calcification on Screening Mammograms
Semi-Supervised Deep Learning-Based Model for Segmentation of Breast Arterial Calcification on Screening Mammograms Open
Purpose: Breast arterial calcification (BAC), detectable on routine mammograms, offers a promising independent risk factor for cardiovascular disease (CVD) risk stratification. However, current BAC assessment methods lack standardization a…
View article: Factors associated with junior doctor plain trauma X-ray interpretation accuracy and strategies for improvement: a scoping review
Factors associated with junior doctor plain trauma X-ray interpretation accuracy and strategies for improvement: a scoping review Open
Not applicable.
View article: The Transformative Impact of a Novel Research-Mentoring Program on Rural High-Ability Students’ Scientific and Socio-Emotional Development
The Transformative Impact of a Novel Research-Mentoring Program on Rural High-Ability Students’ Scientific and Socio-Emotional Development Open
High-ability students living in regional, remote, or rural areas of Australia face numerous barriers in accessing quality science, technology, engineering, and mathematics (STEM) education to meet their learning needs. However, there is li…
View article: Addressing global variation and systemic inequities in access to liver transplantation
Addressing global variation and systemic inequities in access to liver transplantation Open
Liver transplantation remains the only curative intervention for patients with decompensated cirrhosis and provides good long-term outcomes for patients with hepatocellular carcinoma. However, inequities exist for patients accessing transp…
View article: Analysis of challenging mammographic cases demonstrates subtle reader group discrepancies
Analysis of challenging mammographic cases demonstrates subtle reader group discrepancies Open
The results should be helpful when tailoring educational strategies and developing augmented artificial intelligence (AI) solutions to support human readers.
View article: Women's tolerance of breast propagation-based phase-contrast computed tomography (PB-CT) positioning procedure
Women's tolerance of breast propagation-based phase-contrast computed tomography (PB-CT) positioning procedure Open
As PB-CT nears clinical translation, assessing procedural comfort is essential for developing patient-centered protocols that balance experience and image quality.
View article: Comparison of three reconstruction algorithms for low‐dose phase‐contrast computed tomography of the breast with synchrotron radiation
Comparison of three reconstruction algorithms for low‐dose phase‐contrast computed tomography of the breast with synchrotron radiation Open
Background Phase‐contrast breast CT imaging holds promise for improved diagnostic accuracy, but an optimal reconstruction algorithm must balance objective image quality metrics with subjective radiologist preferences. Purpose This study sy…
View article: Towards order of magnitude X-ray dose reduction in breast cancer imaging using phase contrast and deep denoising
Towards order of magnitude X-ray dose reduction in breast cancer imaging using phase contrast and deep denoising Open
Breast cancer is the most frequently diagnosed human cancer in the United States at present. Early detection is crucial for its successful treatment. X-ray mammography and digital breast tomosynthesis are currently the main methods for bre…
View article: Factors that impact upon interpretation efficacy of radiography advanced practitioners who interpret mammograms
Factors that impact upon interpretation efficacy of radiography advanced practitioners who interpret mammograms Open
This preliminary work suggests that factors may impact upon the diagnostic performance of RAPs when reading mammograms. These early results from a small sample size demonstrate that further explorations are required to optimise RAP reporti…
View article: Urgent findings in CT chest examinations: Radiography and medical students’ capabilities and learning perspectives – a preliminary study
Urgent findings in CT chest examinations: Radiography and medical students’ capabilities and learning perspectives – a preliminary study Open
This study highlights opportunities for targeted urgent-finding resource development, focused on improving consistency within cohorts and reducing false positive rates.
View article: Comparison of three reconstruction algorithms for low-dose phase-contrast computed tomography of the breast with synchrotron radiation
Comparison of three reconstruction algorithms for low-dose phase-contrast computed tomography of the breast with synchrotron radiation Open
Three different computed tomography (CT) reconstruction algorithms: Filtered Back Projection (FBP), Unified Tomographic Reconstruction (UTR) and customized Simultaneous Algebraic Reconstruction Technique (cSART), have been systematically c…
View article: Online radiology teaching for doctors in a university setting: an Australian experience
Online radiology teaching for doctors in a university setting: an Australian experience Open
ISP and EIC are unique Master-level units of study for medical practitioners in the Australian tertiary setting, given that their sole focus is improving non-radiologist clinicians' medical imaging knowledge and skills. By prioritising hig…
View article: A Machine Learning Model Based on Global Mammographic Radiomic Features Can Predict Which Normal Mammographic Cases Radiology Trainees Find Most Difficult
A Machine Learning Model Based on Global Mammographic Radiomic Features Can Predict Which Normal Mammographic Cases Radiology Trainees Find Most Difficult Open
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 interpreting seve…
View article: Radiomic analysis of cohort-specific diagnostic errors in reading dense mammograms using artificial intelligence
Radiomic analysis of cohort-specific diagnostic errors in reading dense mammograms using artificial intelligence Open
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 6…
View article: Optimizing mammography interpretation education: leveraging deep learning for cohort-specific error detection to enhance radiologist training
Optimizing mammography interpretation education: leveraging deep learning for cohort-specific error detection to enhance radiologist training Open
The findings highlight the feasibility of employing CNN-based transfer learning to predict the difficulty levels of local FP patches in screening mammograms for specific radiologist cohort with similar geographic characteristics.
View article: An initial exploration of factors that may impact radiographer performance in reporting mammograms
An initial exploration of factors that may impact radiographer performance in reporting mammograms Open
This study for the first time performs an initial exploration of the factors that may be associated with RAP performance when interpreting screening mammograms.
View article: Test‐set results can predict participants' development in breast‐screen cancer detection: An observational cohort study
Test‐set results can predict participants' development in breast‐screen cancer detection: An observational cohort study Open
Background and Aim Test‐sets are standardized assessments used to evaluate reader performance in breast screening. Understanding how test‐set results affect real‐world performance can help refine their use as a quality improvement tool. Th…
View article: HPV and Cervical Cancer Awareness and Screening Practices among Migrant Women: A Narrative Review
HPV and Cervical Cancer Awareness and Screening Practices among Migrant Women: A Narrative Review Open
This narrative review explores the barriers and facilitators that migrant women face globally. The review explored a range of studies conducted in various countries, including the United States of America (USA), the United Kingdom (UK), Ca…
View article: Cervical Cancer Awareness and Screening Practices Amongst Women in Ras Al-Khaimah, UAE and Migrant Women in Sydney, Australia
Cervical Cancer Awareness and Screening Practices Amongst Women in Ras Al-Khaimah, UAE and Migrant Women in Sydney, Australia Open
Cervical cancer is the fifth most common cancer in the UAE and the fourteenth most common cancer among women in Australia (Sung et al., 2021). Despite the introduction of vaccinations and cervical screening programs in both countries, Emir…
View article: Computer-extracted global radiomic features can predict the radiologists’ first impression about the abnormality of a screening mammogram
Computer-extracted global radiomic features can predict the radiologists’ first impression about the abnormality of a screening mammogram Open
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, computer-extracted) features can predict the…
View article: Nurse practitioners' use of diagnostic imaging: A scoping review
Nurse practitioners' use of diagnostic imaging: A scoping review Open
Aim To explore the nature and extent of peer‐reviewed literature related to the use of diagnostic imaging by nurse practitioners (NPs) to inform future practice and research. Background Nurse practitioners undertake advanced assessment, di…
View article: RRIMS: Radiation Risk In Mammography Screening — model evaluation
RRIMS: Radiation Risk In Mammography Screening — model evaluation Open
Objective The Radiation Risk In Mammography Screening (RRIMS) model was introduced as a novel tool to help females accurately calculate their lifetime mean glandular dose (MGD) and estimate their population-level risk of radiation-induced …
View article: Propagation-based phase-contrast imaging of the breast: image quality and the effect of X-ray energy and radiation dose
Propagation-based phase-contrast imaging of the breast: image quality and the effect of X-ray energy and radiation dose Open
Objectives: Propagation-based phase-contrast computed tomography (PB-CT) is a new imaging technique that exploits refractive and absorption properties of X-rays to enhance soft tissue contrast and improve image quality. This study compares…
View article: Using Radiomics-Based Machine Learning to Create Targeted Test Sets to Improve Specific Mammography Reader Cohort Performance: A Feasibility Study
Using Radiomics-Based Machine Learning to Create Targeted Test Sets to Improve Specific Mammography Reader Cohort Performance: A Feasibility Study Open
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 learning …
View article: Reliability of radiologists’ first impression when interpreting a screening mammogram
Reliability of radiologists’ first impression when interpreting a screening mammogram Open
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 the intra- and inter-observ…
View article: Incidence, mortality, survival, and disease burden of breast cancer in China compared to other developed countries
Incidence, mortality, survival, and disease burden of breast cancer in China compared to other developed countries Open
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 have resulted in an upward tre…