student profile: Ms Christine Damases

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Thesis work

Thesis title: Causal Factors and Potential Clinical Implications of Variation in Mammographic Density Assessment

Supervisors: Mark MCENTEE , Patrick BRENNAN , Claudia MELLO-THOMS

Selected publications

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Journals

  • Damases, C., Mello-Thoms, C., McEntee, M. (2016). Inter-observer variability in mammographic density assessment using Royal Australian and New Zealand College of Radiologists (RANZCR) synoptic scales. Journal of Medical Imaging and Radiation Oncology, 60(3), 329-336. [More Information]
  • Damases, C., Brennan, P., Mello-Thoms, C., McEntee, M. (2016). Mammographic Breast Density Assessment Using Automated Volumetric Software and Breast Imaging Reporting and Data System (BIRADS) Categorization by Expert Radiologists. Academic Radiology, 23(1), 70-77. [More Information]
  • Damases, C., Brennan, P., McEntee, M. (2015). Mammographic density measurements are not affected by mammography system. Journal of Medical Imaging, 2(1), 1-5. [More Information]

Conferences

  • Damases, C., Mello-Thoms, C., McEntee, M. (2016). Inter-observer variability within BI-RADS and RANZCR mammographic density assessment schemes. SPIE Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, USA: SPIE Publications. [More Information]
  • Damases, C., Brennan, P., McEntee, M. (2015). The impact of mammographic imaging systems on density measurement. SPIE Medical Imaging 2015: Image Perception, Observer Performance, and Technology Assessment, Washington USA: SPIE Publications. [More Information]
  • McEntee, M., Damases, C. (2014). Mammographic density measurement: a comparison of automated volumetric density measurement to BIRADS. SPIE Medical Imaging 2014: Image Perception, Observer Performance, and Technology Assessment, Bellingham, Washington, USA: SPIE Publications.

2016

  • Damases, C., Mello-Thoms, C., McEntee, M. (2016). Inter-observer variability in mammographic density assessment using Royal Australian and New Zealand College of Radiologists (RANZCR) synoptic scales. Journal of Medical Imaging and Radiation Oncology, 60(3), 329-336. [More Information]
  • Damases, C., Mello-Thoms, C., McEntee, M. (2016). Inter-observer variability within BI-RADS and RANZCR mammographic density assessment schemes. SPIE Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, USA: SPIE Publications. [More Information]
  • Damases, C., Brennan, P., Mello-Thoms, C., McEntee, M. (2016). Mammographic Breast Density Assessment Using Automated Volumetric Software and Breast Imaging Reporting and Data System (BIRADS) Categorization by Expert Radiologists. Academic Radiology, 23(1), 70-77. [More Information]

2015

  • Damases, C., Brennan, P., McEntee, M. (2015). Mammographic density measurements are not affected by mammography system. Journal of Medical Imaging, 2(1), 1-5. [More Information]
  • Damases, C., Brennan, P., McEntee, M. (2015). The impact of mammographic imaging systems on density measurement. SPIE Medical Imaging 2015: Image Perception, Observer Performance, and Technology Assessment, Washington USA: SPIE Publications. [More Information]

2014

  • McEntee, M., Damases, C. (2014). Mammographic density measurement: a comparison of automated volumetric density measurement to BIRADS. SPIE Medical Imaging 2014: Image Perception, Observer Performance, and Technology Assessment, Bellingham, Washington, USA: SPIE Publications.

Note: This profile is for a student at the University of Sydney. Views presented here are not necessarily those of the University.