A5082307735- Global Cancer Incidence and Screening
- AI in cancer detection
- Radiology practices and education
- Digital Radiography and Breast Imaging
- Colorectal Cancer Screening and Detection
- Radiation Dose and Imaging
- Radiomics and Machine Learning in Medical Imaging
- Breast Cancer Treatment Studies
- Clinical Reasoning and Diagnostic Skills
- Ultrasound in Clinical Applications
- Vitamin C and Antioxidants Research
- Occupational and environmental lung diseases
- Advanced X-ray and CT Imaging
- Patient-Provider Communication in Healthcare
- Nutritional Studies and Diet
- Diet and metabolism studies
- Genetics and Neurodevelopmental Disorders
- Biomedical Text Mining and Ontologies
- Diet, Metabolism, and Disease
- Cervical Cancer and HPV Research
- Gene expression and cancer classification
- Nutrition and Health in Aging
- Nutrition, Genetics, and Disease
- Cancer Risks and Factors
- Lung Cancer Diagnosis and Treatment
The University of Sydney
2016-2025
University of California, Riverside
2025
Western Sydney University
2022
Australian Commission on Safety and Quality in Health Care
2021
Abstract Radiologists can detect abnormality in mammograms at above-chance levels after a momentary glimpse of an image. The study investigated this instantaneous perception abnormality, known as “gist” response, when 23 radiologists viewed prior women that were reported normal, but later diagnosed with breast cancer subsequent screening. Five categories cases included: current cancer-containing mammograms, the normal contralateral to cancer, cases, visible signs from who initially screening...
Radiography and medical students (RMS), upon graduation, require capabilities to provide life-saving care through identification communication of urgent findings on radiological imaging. This preliminary study investigated RMS' ability identify categorise CT examinations. It also explored their experiences image interpretation education. A sequential explanatory mixed-methods was employed. Participants were who had recently completed Year-4 (radiography/medicine) or Year-2 (medicine-only)...
The detection of breast cancer is somewhat limited by human factors, and thus there a need to improve reader performance. This study assesses whether radiologists who regularly undertake the education in form Breast Reader Assessment Strategy (BREAST) demonstrate any changes mammography interpretation performance over time.In 2011, 2012 2013, 14 independently assessed year-specific BREAST mammographic test-set. Radiologists read different single test-set once each year, with comprising 60...
The communicating safely policy, publicised by the catchphrase See Something, Say Something was released Medical Radiation Practice Board of Australia in 2019. It developed to support medical radiation practitioners (MRPs) upholding obligation communicate urgent or unexpected findings a timely manner, when identified on images. Prior this policy being part professional capabilities, several untimely deaths occurred-the majority whose causal factors could have been mitigated if imaging were...
The Indigenous people of Australia face significant health gaps compared with the general population, lower life expectancies, higher rates death, and chronic illness occurring more often than in non-indigenous Australians. Cancer is second largest contributor to burden disease breast cancer being most common invasive diagnosed for females. Despite a incidence women, fatalities occur at an elevated rate cancers have earlier age onset. For indigenous women there are also advanced distant...
High quality breast imaging and accurate image assessment are critical to the early diagnoses, treatment management of women with cancer. Breast Screen Reader Assessment Strategy (BREAST) provides a platform, accessible by researchers clinicians world-wide, which will contain data bases, algorithms assess reader performance on-line systems for evaluation. The platform contribute diagnostic efficacy in Australia beyond on two fronts: reducing errors mammography, transforming our novel...
Abstract Introduction Test sets have been increasingly utilised to augment clinical audit in breast screening programmes; however, their relationship has never satisfactorily understood. This study examined the between mammographic test set performance and data. Methods Clinical data over a 2‐year period was generated for each of 20 radiologists. Sixty examinations, consisting 40 normal cancer cases, formed set. Readers located any identifiable cancer, levels confidence were scored from 2 5,...
Background: Breast cancer, is increasing in prevalence amongst South East (SE) Asian women, highlighting theneed for high quality, early diagnoses. This study investigated radiologists’ detection efficacy a developing (DC)and developed (DDC) SE country, as compared to Australian radiologists. Methods: Using test-set of 60mammographic cases, 20 containing JAFROC figures merit (FOM) and ROC area under the curves (AUC)were calculated well location sensitivity, sensitivity specificity. The test...
To compare breast screening attendances of Indigenous and non-Indigenous women.
Can radiologists distinguish prior mammograms with no overt signs of cancer from women who were later diagnosed breast the reported as normal and subsequently confirmed to be cancerfree? Twenty-three physicians viewed 200 craniocaudial for a half-second rated whether woman would recalled on scale 0 (clearly normal) 100 abnormal). The dataset included five categories mammograms, each category containing 40 cases. Cancer (current cancer-containing mammograms), Prior-Vis (prior visible signs),...
PurposeThis study aims to investigate the diagnostic performances of Australian and Shanghai-based Chinese radiologists in reading full-field digital mammogram (FFDM) breast tomosynthesis (DBT) with different levels density.ApproachEighty-two interpreted a 60-case FFDM set, 29 also reported 35-case DBT set. Sixty Shanghai read same 32 The were assessed using truth data (cancer cases biopsy proven) compared overall specificity, case sensitivity, lesion receiver operating characteristics (ROC)...
Aim: To compare the performance of Australian and Singapore breast readers interpreting a single test-set that consisted mammographic examinations collected from population. Background: In teleradiology era, are different populations. The question arises whether two groups with similar training backgrounds, demonstrate same level when presented population familiar only to one groups. Methods: Fifty-three 15 Singaporean radiologists participated in this study. All were trained mammogram...
This study aims to explore the reading performances of radiologists in detecting cancers on mammograms using Tabar Breast Imaging Reporting and Data System (BIRADS) classification identify factors related breast imaging reporting scores.117 readings five different mammogram test sets with each set containing 20 cancer 40 normal cases were performed by Australian radiologists. Each radiologist evaluated BIRADS lexicon category 1 - negative, 2 benign findings, 3 equivocal findings (Recall), 4...