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  1. No Access

    Article

    Computer-Assisted Nuclear Atypia Scoring of Breast Cancer: a Preliminary Study

    Inter-pathologist agreement for nuclear atypia scoring of breast cancer is poor. To address this problem, previous studies suggested some criteria for describing the variations appearance of tumor cells relati...

    Ziba Gandomkar, Patrick C. Brennan, Claudia Mello-Thoms in Journal of Digital Imaging (2019)

  2. No Access

    Article

    Can a Machine Learn from Radiologists’ Visual Search Behaviour and Their Interpretation of Mammograms—a Deep-Learning Study

    Visual search behaviour and the interpretation of mammograms have been studied for errors in breast cancer detection. We aim to ascertain whether machine-learning models can learn about radiologists’ attention...

    Suneeta Mall, Patrick C. Brennan, Claudia Mello-Thoms in Journal of Digital Imaging (2019)

  3. No Access

    Article

    Does Expectation of Abnormality Affect the Search Pattern of Radiologists When Looking for Pulmonary Nodules?

    This experiment investigated whether there might be an effect on the visual search strategy of radiologists during image interpretation of the same adult chest radiographs when given different clinical informa...

    Stephen Littlefair, Patrick Brennan, Warren Reed in Journal of Digital Imaging (2017)

  4. No Access

    Article

    Reporting instructions significantly impact false positive rates when reading chest radiographs

    To determine the impact of specific reporting tasks on the performance of radiologists when reading chest radiographs.

    John W. Robinson, Patrick C. Brennan, Claudia Mello-Thoms in European Radiology (2016)

  5. No Access

    Article

    Descriptive epidemiology of breast cancer in China: incidence, mortality, survival and prevalence

    Breast cancer is the most common neoplasm diagnosed amongst women worldwide and is the leading cause of female cancer death. However, breast cancer in China is not comprehensively understood compared with West...

    Tong Li, Claudia Mello-Thoms, Patrick C. Brennan in Breast Cancer Research and Treatment (2016)

  6. No Access

    Chapter and Conference Paper

    Equivocal Breast Findings Are Reduced with Digital Tomosynthesis

    The aim is to compare equivocal breast findings in digital breast tomosynthesis combined with digital mammography (DM+DBT) compared with DM alone for readers with different levels of DBT experience. Fifty case...

    Maram Alakhras, Claudia Mello-Thoms, Roger Bourne, Mary Rickard in Breast Imaging (2016)

  7. No Access

    Chapter and Conference Paper

    Lower Recall Rates Reduced Readers’ Sensitivity in Screening Mammography

    Higher recall rates have been related to increased false positive decisions, causing significant psychological and economical costs for both screened women and the mammography screening service respectively. T...

    Norhashimah Mohd Norsuddin, Claudia Mello-Thoms, Warren Reed in Breast Imaging (2016)

  8. No Access

    Article

    Effect of Display Resolution on Time to Diagnosis with Virtual Pathology Slides in a Systematic Search Task

    Performing diagnoses using virtual slides can take pathologists significantly longer than with glass slides, presenting a significant barrier to the use of virtual slides in routine practice. Given the benefit...

    Rebecca Randell, Thilina Ambepitiya, Claudia Mello-Thoms in Journal of Digital Imaging (2015)

  9. Article

    Open Access

    Retrospective Review of the Drop in Observer Detection Performance Over Time in Lesion-enriched Experimental Studies

    The vigilance decrement describes a decrease in sensitivity or increase in specificity with time on task. It has been observed in a variety of repetitive visual tasks, but little is known about these patterns ...

    Sian Taylor-Phillips, Markus C. Elze, Elizabeth A. Krupinski in Journal of Digital Imaging (2015)

  10. No Access

    Article

    Effect of radiologists’ experience on breast cancer detection and localization using digital breast tomosynthesis

    The objectives are To to compare the diagnostic performance of combined digital breast tomosynthesis (DBT) and digital mammography (DM) with that of DM alone, as a function of radiologists’ experience with DBT.

    Maram M. Alakhras, Patrick C. Brennan, Mary Rickard, Roger Bourne in European Radiology (2015)

  11. No Access

    Chapter and Conference Paper

    Mammographic Density Effect on Readers’ Performance and Visual Search Pattern

    A test set of 150 digital mammograms were examined by 14 radiologists, seven of which underwent eye-position recording. Mammograms were classified into low- and high- density cases, in order to investigate the...

    Dana S. AL Mousa, Patrick C. Brennan, Elaine A. Ryan, Claudia Mello-Thoms in Breast Imaging (2014)

  12. No Access

    Chapter and Conference Paper

    Mammography: Radiologist and Image Characteristics That Determine the Accuracy of Breast Cancer Diagnosis

    Variations in the performance of breast readers are well reported, but key lesion and reader parameters explaining such variations are not fully explored. This large study aims to: 1) measure diagnostic accura...

    Mohammad A. Rawashdeh, Claudia Mello-Thoms, Roger Bourne in Breast Imaging (2014)

  13. No Access

    Chapter and Conference Paper

    BREAST: A Novel Strategy to Improve the Detection of Breast Cancer

    Early diagnosis of breast cancer is highly dependent on quality breast imaging and precise image interpretation. The BREAST programme is an innovative strategy for reader performance self-evaluation in breast ...

    Patrick C. Brennan, Phuong Dung Trieu, Kriscia Tapia, John Ryan in Breast Imaging (2014)

  14. No Access

    Chapter and Conference Paper

    Understanding the Role of Correct Lesion Assessment in Radiologists’ Reporting of Breast Cancer

    Despite the innovations in breast imaging technology, the miss rates of breast cancers at mammography screening have remained stable, ranging from 10-30% per year. While many factors have been linked to radiol...

    Claudia Mello-Thoms, Phuong Dung Trieu, Mohammed A. Rawashdeh in Breast Imaging (2014)

  15. Article

    Open Access

    Automated detection of heuristics and biases among pathologists in a computer-based system

    The purpose of this study is threefold: (1) to develop an automated, computer-based method to detect heuristics and biases as pathologists examine virtual slide cases, (2) to measure the frequency and distribu...

    Rebecca S. Crowley, Elizabeth Legowski in Advances in Health Sciences Education (2013)

  16. No Access

    Chapter and Conference Paper

    Different Search Patterns and Similar Decision Outcomes: How Can Experts Agree in the Decisions They Make When Reading Digital Mammograms?

    Experts may agree in most decisions that they make when they read a case set of digital mammograms, but eye-position tracking studies suggest that they use very different visual search strategies to make such ...

    Claudia Mello-Thoms, Marie Ganott, Jules Sumkin, Christiane Hakim in Digital Mammography (2008)

  17. No Access

    Chapter and Conference Paper

    The Problem of Image Interpretation in Mammography: How Do Radiologists See What They Think They See?

    Faulty visual search has been blamed as the primary cause for missed cancers in screening mammography, but eye-tracking studies have shown that 70% of unreported cancers do attract some amount of visual attent...

    Claudia Mello-Thoms, Calvin F. Nodine, Harold L. Kundel in Digital Mammography (2003)

  18. No Access

    Article

    An analysis of perceptual errors in reading mammograms using quasi-local spatial frequency spectra

    In this pilot study the authors examined areas on a mammogram that attracted the visual attention of experienced mammographers and mammography fellows, as well as areas that were reported to contain a malignan...

    Claudia Mello-Thoms, Stanley M. Dunn, Calvin F. Nodine in Journal of Digital Imaging (2001)