[HTML][HTML] Look how far we have come: BREAST cancer detection education on the international stage
PD Trieu, CR Mello-Thoms, ML Barron… - Frontiers in oncology, 2023 - frontiersin.org
The development of screening mammography over 30 years has remarkedly reduced breast
cancer–associated mortality by 20%-30% through detection of small cancer lesions at early …
cancer–associated mortality by 20%-30% through detection of small cancer lesions at early …
[HTML][HTML] Using radiomics-based machine learning to create targeted test sets to improve specific mammography reader cohort performance: A feasibility study
Mammography interpretation is challenging with high error rates. This study aims to reduce
the errors in mammography reading by mapping diagnostic errors against global …
the errors in mammography reading by mapping diagnostic errors against global …
AHIVE: Anatomy-aware Hierarchical Vision Encoding for Interactive Radiology Report Retrieval
Automatic radiology report generation using deep learning models has been recently
explored and found promising. Neural decoders are commonly used for the report …
explored and found promising. Neural decoders are commonly used for the report …
[HTML][HTML] The impact of prior mammograms on the diagnostic performance of Radiologists in early breast cancer detection: A focus on breast density, lesion features …
PD Trieu, N Borecky, T Li, PC Brennan, ML Barron… - Cancers, 2023 - mdpi.com
Simple Summary This study explored the diagnostic efficacy of radiologists when reading
screening mammograms in the absence of previous images (NP), and with prior images …
screening mammograms in the absence of previous images (NP), and with prior images …
Variations of image interpretations of radiologists from different populations in mammography and tomosynthesis with different levels of breast density
PD Trieu, Q Xiao, Y Gu, SJ Lewis… - Journal of Medical …, 2023 - spiedigitallibrary.org
Purpose This study aims to investigate the diagnostic performances of Australian and
Shanghai-based Chinese radiologists in reading full-field digital mammogram (FFDM) and …
Shanghai-based Chinese radiologists in reading full-field digital mammogram (FFDM) and …
[PDF][PDF] Microcalcification detection in mammograms using deep learning
Background: Mammography is the most reliable and popular method in the clinical
diagnosis of breast cancer. Calcifications are subtle lesions in mammograms that can be …
diagnosis of breast cancer. Calcifications are subtle lesions in mammograms that can be …
[HTML][HTML] Global Radiomic Features from Mammography for Predicting Difficult-To-Interpret Normal Cases
This work aimed to investigate whether global radiomic features (GRFs) from mammograms
can predict difficult-to-interpret normal cases (NCs). Assessments from 537 readers …
can predict difficult-to-interpret normal cases (NCs). Assessments from 537 readers …
Optimizing Radiological Education: The Role of Learning Spacing via Test sets in Enhancing Diagnostic Proficiency in Breast Screening Readers
PDY Trieu, DA Awwad, ML Barron, SJ Lewis - Academic Radiology, 2024 - Elsevier
Rationale and Objectives Integrating learning spacing in medicine has shown promise in
enhancing knowledge retention and diagnostic proficiency. While studies demonstrate the …
enhancing knowledge retention and diagnostic proficiency. While studies demonstrate the …
[HTML][HTML] Surgical and Radiology Trainees' Proficiency in Reading Mammograms: the Importance of Education for Cancer Localisation
JB Wells, SJ Lewis, M Barron, PD Trieu - Journal of Cancer Education, 2024 - Springer
Medical imaging with mammography plays a very important role in screening and diagnosis
of breast cancer, Australia's most common female cancer. The visualisation of cancers on …
of breast cancer, Australia's most common female cancer. The visualisation of cancers on …
[HTML][HTML] Learning effects in visual grading assessment of model-based reconstruction algorithms in abdominal Computed Tomography
Objectives Images reconstructed with higher strengths of iterative reconstruction algorithms
may impair radiologists' subjective perception and diagnostic performance due to changes …
may impair radiologists' subjective perception and diagnostic performance due to changes …