BreastScreen Reader Assessment Strategy (BREAST)

Publications

2024

Jiang, Z., Gandomkar, Z., Trieu, P.D., Tavakoli Taba, S., Barron, M.L., Obeidy, P., Lewis, S.J. (2024). Evaluating recalibrating AI models for breast cancer diagnosis in a new context: Insights from transfer learning, image enhancement and high-quality training data integration; Cancers, 16(2), 322; https://doi.org/10.3390/cancers16020322
Wells, J.B., Lewis, S.J., Barron, M.L., Trieu, P.D. (2024). Surgical and radiology trainees’ proficiency in reading mammograms: The importance of education for cancer localisation. Journal of Cancer Education, Volume 39, p186-193; https://doi.org/10.1007/s13187-023-02393-7
Trieu, P.D., Barron, M.L., Jiang, Z., Tavakoli Taba, S., Gandomkar, Z., Lewis, S.J. (2024). Familiarity, confidence and preference of artificial intelligence feedback and prompts by Australian breast cancer screening readers. Australian Health Review, online early version available; https://doi.org/10.1071/AH23275

2023

Trieu, P., Mello-Thoms, C., Barron, M., Lewis, S. (2023). Look how far we have come: BREAST cancer detection education on the international stage. Frontiers in Oncology, 12, 1-13, DOI: https://doi.org/10.3389/fonc.2022.1023714
Trieu, P., Noakes, J., Li, T., Borecky, N., Brennan, P., Barron, M., Lewis, S. (2023). Radiologists’ performance in reading digital breast tomosynthesis with and without synthesized views for cancer detection. British Journal of Radiology, 96(1145), 20220704, DOI: https://doi.org/10.1259/bjr.20220704
Trieu, P., Borecky, N., Li, T., Brennan, P., Barron, M., Lewis, S. (2023). The Impact of Prior Mammograms on the Diagnostic Performance of Radiologists in Early Breast Cancer Detection: A Focus on Breast Density, Lesion Features and Vendors Using Wholly Digital Screening Cases. Cancers, 15(4), 1339-1-1339-12, DOI: https://doi.org/10.3390/cancers15041339
Tao, X., Siviengphanom, S., Gandomkar, Z., Li, T., Reed, W., Brennan, P.,Investigating the error-making patterns in reading high-density screening mammograms between radiologists from two countries. SPIE Medical Imaging 2023. United States SPIE Medical Imaging, Proceedings Vol 12467, DOI: https://doi.org/10.1117/12.2655164
Siviengphanom, S., Gandomkar, Z., Lewis, S., Brennan, P.,Global mammographic radiomic signature can predict radiologists’ difficult-to-interpret normal cases. SPIE Medical Imaging 2023, SPIE Medical Imaging, Proceedings Vol 12467, DOI: https://doi.org/10.1117/12.2645377
Jiang, Z., Trieu, P., Gandomkar, Z., Tavakoli Taba, S., Barron, M., Lewis, S., How do you solve a problem like concordance? A study of radiologists’ clinical annotations for mammographic AI training. SPIE Medical Imaging 2023, United States SPIE Medical Imaging, Proceedings Vol 12467, DOI: https://doi.org/10.1117/12.2654147

2022

Lewis, S., Barron, M., Trieu, P. (2022). Diagnostic performance of radiographers compared with an international radiology cohort from developing countries in breast cancer detection. Journal of Medical Imaging and Radiation Sciences, 53(4), S23-S24. https://www.jmirs.org/article/S1939-8654(22)00457-X/pdf
Trieu, P., Noakes, J., Borecky, N., Li, T., Brennan, P., Robinson, M., Lewis, S. (2022). Diagnostic performances of radiology trainees in reading digital breast tomosynthesis and the synthesized view. Progress in Biomedical Optics and Imaging – Proceedings of SPIE, United States: SPIE Medical Imaging, Proceedings Vol 12035. http://doi.org/10.1117/12.2611268
Li, T., Gandomkar, Z., Trieu, P., Lewis, S., Brennan, P. (2022). Differences in lesion interpretation between radiologists in two countries: Lessons from a digital breast tomosynthesis training test set. Asia-Pacific Journal of Clinical Oncology, 18(4), 441-447. https://doi.org/10.1111/ajco.13686
Lewis, S., Li, T., Borecky, N., Brennan, P., Barron, M., Trieu, P. (2022). Prior mammogram review may affect the performance of radiology trainees in identifying breast cancers and normal cases. Proceedings of SPIE – The International Society for Optical Engineering, United States: SPIE Medical Imaging, Proceedings Vol 12286. http://doi.org/10.1117/12.2624189
Lewis, S., Borecky, N., Li, T., Barron, M., Brennan, P., Trieu, P. (2022). Radiologist Self-training: a Study of Cancer Detection when Reading Mammograms at Work Clinics or Workshops. Journal of Cancer Education, 38;571-577, issued 2023. https://doi.org/10.1007/s13187-022-02156-w
Trieu, P., Barron, M., Lewis, S. (2022). Use of Full-quality DICOM Images Compared to Minimally Compressed Mammograms in JPEG Format for Radiology Training: A Study from Radiologist and Radiographer Perspectives. Academic Radiology, In Press 1-8, published Dec 2022. DOI: http://doi.org/10.1016/j.acra.2022.11.012
Gandomkar, Z., Lewis, S., Li, T., Ekpo, E., Brennan, P. (2022). A machine learning model based on readers characteristics to predict their performances in reading screening mammograms. Breast Cancer, 29(4), 589-598. DOI: http://doi.org/10.1007/s12282-022-01335-3
Gandomkar, Z., Lewis, S., Siviengphan, S., Suleiman, M., Wong, D., Reed, W., Ekpo, E., Brennan, P. (2022). Classification and reviewing of prior screening mammograms from screen-detected breast cancer cases. 16th International Workshop on Breast Imaging (IWBI2022), United States: SPIE Medical Imaging, Proceedings Vol 12286, DOI: https://doi.org/10.1117/12.2625750
Wing Lam Chiu, W., Li, T., Lewis, S. (2022). Diagnostic efficacy in screening mammograms does not improve with peer reading strategy: a Sino-Australian study.SPIE Medical Imaging 2022, United States: SPIE Medical Imaging, Proceedings Vol 12035, DOI: https://doi.org/10.1117/12.2610992
Gandomkar, Z., Siviengphanom, S., Suleiman, M., Wong, D., Reed, W., Ekpo, E., Xu, D., Lewis, S., Brennan, P. (2022). The reliability of radiologists’ first impression interpreting a screening mammogram. SPIE Medical Imaging 2022, United States: SPIE Medical Imaging, Proceedings Vol 12035, DOI: https://doi.org/10.1117/12.2612803
Tao, X., Gandomkar, Z., Li, T., Reed, W., Brennan, P. (2022). Varying performance levels for diagnosing mammographic images depending on reader nationality have AI and educational implications.SPIE Medical Imaging 2022, United States: SPIE Medical Imaging, Proceedings Vol 12035, DOI: https://doi.org/10.1117/12.2611342

2021

Trieu, P…..Lewis, S. (2021). Improving radiologist’s ability in identifying particular abnormal lesions on mammograms through training test set with immediate feedback. Nature: Scientific Reports 11, 9899. https://doi.org/10.1038/s41598-021-89214-3
Trieu PD, Puslednik L, Li T, Brennan PC et al. (2021). Interpretative characteristics and case features associated with the performances of radiologists in reading mammograms: A study from a non-screening population in Asia. Asia-Pacific Journal of Clinical Oncology, DOI: 10.1111/ajco.13429
Taba, A…Lewis, S, Guyerev, T, brennan, P. (2021). Propagation-Based Phase-Contrast CT of the Breast Demonstrates Higher Quality Than Conventional Absorption-Based CT Even at Lower Radiation Dose. Academic Radiology, 28 (1), e20-e26.
Gandomkar, Z., Li, T., Trieu, P., Lewis, S., Brennan, P. (2021). A retrospective comparative study of reading performances between radiologists from two countries in the assessment of 3D mammography. Medical Imaging 2021: Image Perception, Observer Performance, and Technology Assessment, United States: SPIE Medical Imaging, Proceedings Vol 11599. https://doi.org/10.1117/12.2582051
Gandomkar, Z., Ekpo, E., Lewis, S., Suleiman, M., Siviengphanom, S., Li, T., Brennan, P. (2021). An end-to-end deep learning model can detect the gist of the abnormal in prior mammograms as perceived by experienced radiologists. Medical Imaging 2021: Image Perception, Observer Performance, and Technology Assessment, United States: SPIE Medical Imaging, Proceedings Vol 11599. https://doi.org/10.1117/12.2582099
Gandomkar, Z., Siviengphanom, S., Ekpo, E., Suleiman, M., Tavakoli Taba, S., Li, T., Xu, D., Evans, K., Lewis, S., Wolfe, J., Brennan, P. (2021). Global processing provides malignancy evidence complementary to the information captured by humans or machines following detailed mammogram inspection. Scientific Reports, 11(1), 20122. https://doi.org/10.1038/s41598-021-99582-5

2020

Tapia KA, Rickard MT, McEntee MF, et al. Impact of breast density on cancer detection: observations from digital mammography test sets. Int J Radiol Radiat Ther. 2020;7(2):36-41.
Trieu, PD, Lewis, S, Li, T, Ho, K, Tapia KA, and Brennan PC. Reader characteristics and mammogram features associated with breast imaging reporting scores. BJR 2020; 93: 111420200363. https://doi.org/10.1259/bjr.20200363
Li, T, Tavakoli Taba, S, Khong, PL, Tan , TXL, Trieu, P, Brennan, P, Lewis, SJ. (2020). Reading high breast density mammograms: differences in diagnostic performance between radiologists from Hong Kong SAR/Guangdong Province in China and Australia. Asian Pac J Cancer Prev, 21 (9), 2623-2629. doi: 10.31557/APJCP.2020.21.9.2623
Tavakoli Taba, S., Baran, P., Nesterets, Y.I., Lewis, S et al. (2020). Comparison of propagation-based CT using synchrotron radiation and conventional cone-beam CT for breast imaging. Eur Radiol30,2740–2750 (2020).

2019

Trieu PD, Tapia K, Frazer H, Lee W, Brennan P. Improvement of Cancer Detection on Mammograms via BREAST Test Sets. Academic radiology 2019. doi.org/10.1016/j.acra.2018.12.017
Tapia KA, Garvey G, McEntee MF, Rickard M, Lydiard L, Brennan PC. Breast screening attendance of Aboriginal and Torres Strait Islander women in the Northern Territory of Australia. Aust N Z J Public Health. 2019;0(0) doi:10.1111/1753-6405.12917.
Gandomkar Z, Brennan PC, Mello-Thoms C. Computer-Assisted Nuclear Atypia Scoring of Breast Cancer: a Preliminary Study.. Journal of digital imaging. 2019 Feb 4:1-1.
Gandomkar Z, Ekpo EU, Lewis SJ, Evans KK, Tapia KA, Trieu P, Wolfe JM, Brennan PC. Does the strength of the gist signal predict the difficulty of breast cancer detection in usual presentation and reporting mechanisms?. SPIE Medical Imaging; 2019: SPIE.
Gandomkar Z, Suleiman ME, Demchig D, Brennan PC, McEntee MF.BI-RADS density categorization using deep neural networks. SPIE Medical Imaging; 2019: SPIE.
Jackson RL, Double CR, Munro HJ, Lynch J, Tapia K, Trieu PD, Alakhras M, Ganesan A, Do DT, Soh BP, Brennan PC, Puslednik L. Breast Cancer Diagnostic Efficacy in a Developing South-East Asian Country. Asia Pacific Journal of Cancer Prevention 2019.
Li T, Tang L, Gandomkar Z, Heard R, Mello-Thoms C, Di G, Gu Y, Xiao Q, Shao Z, Nickson C, Brennan PC. Characteristics of mammographic breast density and associated factors for Chinese women: Results from an automated measurement. Journal of Oncology, 2019; 2019:9.
Taba ST, Baran P, Nesterets Y, Pacile S, Wienbeck S, Dullin C, Arfelli F, Lewis S, Tromba G, Gureyev T, Brennan PC. Propagation-based computed tomography and cone-beam computed tomography of the breast: a comparison of radiological image quality.. European Congress of Radiology (ECR) Vienna, Austria, 2019.
Tapia KA, Garvey G, McEntee MF, Rickard M, Lydiard L, Brennan PC. Mammographic densities of Aboriginal and non-Aboriginal women living in Australia’s Northern Territory. International journal of public health. 2019 doi:10.1007/s00038-019-01237-w.
Lewis, S, Gandomkar, Z and Brennan, P. (2019). Artificial intelligence in medical imaging practice: looking to the future. Invited paper for Special Edition in AI. J Med Radiat Sci 66, 292–295. Top 5 downloaded papers in 2019.

2018

Brennan PC, Gandomkar Z, Ekpo EU, Tapia K, Trieu PD, Lewis SJ, et al.Radiologists can detect the ‘gist’ of breast cancer before any overt signs of cancer appear. Scientific Reports. 2018;8(1):8717.
Brennan, P., Warwick, L., & Tapia, K. Breast Screen Reader Assessment Strategy (BREAST): A Research Infrastructure with a Translational Objective. In E. Samei & E. Krupinski (Eds.), The Handbook of Medical Image Perception and Techniques (pp. 343-356). Cambridge: Cambridge University Press. 2018; doi:10.1017/9781108163781.023
Gandomkar Z, Brennan PC, Mello-Thoms C, A framework for distinguishing benign from malignant breast histopathological images using deep residual networks, Breast Imaging: 14th International Workshop (IWBI 2018), Atlanta, Georgia, United States, 2018.
Gandomkar Z, Brennan PC, Mello-Thoms C.MuDeRN: Multi-category classification of breast histopathological image using deep residual networks. Artificial Intelligence in Medicine. 2018;88:14-24.
Gandomkar Z, Brennan PC, Mello-Thoms C.A cognitive approach to determine the benefits of pairing radiologists in mammogram reading. SPIE Medical Imaging; 2018: SPIE.
Gandomkar Z, Ekpo E, Tapia K, Lewis S, Trieu PD, Wolfe JM, Evans KK, Brennan PC, Detection of the abnormal gist in the prior mammograms even with no overt sign of breast cancer,Breast Imaging: 14th International Workshop (IWBI 2018), Atlanta, Georgia, United States, 2018.
Gandomkar Z, Tay K, Brennan PC, Mello-Thoms C.Recurrence quantification analysis of radiologists’ scanpaths when interpreting mammograms. Medical Physics. 2018.
Gureyev, T, Baran P, Taba ST, Peele A, Brennan PC, et al.Synchrotron-Based X-ray Phase-Contrast Tomography for Breast Cancer Imaging. Proceedings of the 14th International Conference on X-ray Microscopy (XRM2018) Volume 24, Supplement S2, 2018.
Lewis S, Baran P, Gureyev T, Taba ST, Brennan P, et al.Towards clinic-friendly solutions for patient trials in breast cancer phase contrast imaging. Breast Imaging: 14th International Workshop (IWBI 2018), Atlanta, Georgia, United States, 2018
Lewis S, Baran P, Gureyev T, Taba ST, Brennan P. Towards clinic-friendly solutions for patient trials in breast cancer phase contrast imaging. Breast Imaging: 14th International Workshop (IWBI 2018), Atlanta, Georgia, United States, 2018
Li T, Li J, Dai M, Ren J, Zhang H, Mi Z, et al.Mammographic density and associated predictive factors for Chinese women. The Breast Journal. 2018;24(3):444-5.
Li T, Tang L, Gandomkar Z, Heard R, Mello-Thoms C, Shao Z, et al.Mammographic density and other risk factors for breast cancer among women in China. The Breast Journal. 2018;24(3):426-8.
Pacile S, Baran P, Dullin C, Dimmock M, Taba ST, Lewis S, Brennan PC, Gureyev T, et al.Advantages in breast cancer visualisation and characterisation with synchrotron radiation phase-contrast tomography technique. Journal of Synchrotron Radiation. 2018; 25, 1460-1466.
Rawashdeh, M. , Abdelrahman, M. , Zaitoun, M. , McEntee, M. , Tapia, K. and Brennan, P.Assessment of Jordanian Radiologist Performance in the Detection of Breast Cancers. Open Journal of Medical Imaging, 2018; 8, 41-53. doi: 10.4236/ojmi.2018.83006.
Suleiman ME, Brennan PC, Ekpo E, Kench P, McEntee MF.Integrating mammographic breast density in glandular dose calculation. The British Journal of Radiology. 2018;91(1085):20180032.
Taba ST, Baran P, Lewis S, Heard R, Pacile S, Gureyev T, Brennan PC, et al.Towards improving breast cancer imaging: radiological assessment of propagation-based phase-contrast CT technology. Academic Radiology. 2018; doi: 101016/jacra201807008.
Taba ST, Baran P, Lewis S, Heard R, Pacile S, Gureyev T, Brennan PC, et al.A visual grading analysis of propagation-based phase-contrast CT mammography. European Congress of Radiology (ECR) Vienna, Austria, 2018.
Taba ST, Brennan PC, Lewis S.Dynamics of breast imaging research: A global scoping review and Sino-Australian comparison case study. PLOS ONE. 2018; 101371/journalpone0210256.
Taba ST, Gureyev TE, Alakhras M, Lewis S, Lockie D, Brennan PC.X-Ray Phase-Contrast Technology in Breast Imaging: Principles, Options, and Clinical Application. American Journal of Roentgenology. 2018:1-13.
Taba ST, Lewis S, Gureyev, T, Brennan PC, et al.Visual Grading Characteristics Analysis of Propagation-Based X-Ray Phase Contrast Mammography. RSNA Annual Meeting, Chicago, United States, 2018.
Taba ST, Lewis S, Gureyev, T, Brennan PC, et al.Synchrotron radiation propagation-based phase-contrast tomography of the breast: a study of diagnostic image quality. RANZCR Annual Scientific Meeting, Canberra, Australia, 2018.

2017

Baran P, Pacile S, Nesterets YI, Mayo SC, Dullin C, Dreossi D, et al.Optimization of propagation-based x-ray phase-contrast tomography for breast cancer imaging. Physics in Medicine and Biology. 2017;62(6):2315-32.
Demchig D, Gandomkar Z, Brennan PC,Automatic Segmentation of the Dense Tissue in Digital Mammograms for BIRADS Density Categorization. Medical Image Perception Society, 2017, Houston, TX, USA.
Gandomkar Z, Brennan P, Mello-Thoms C.Determining image processing features describing the appearance of challenging mitotic figures and miscounted nonmitotic objects. Journal of Pathology Informatics. 2017;8(1):34-.
Gandomkar Z, Brennan PC, Mello-Thoms C.Determining local and contextual features describing appearance of difficult to identify mitotic figures. SPIE Medical Imaging; 2017: SPIE.
Gandomkar Z, Tay K, Brennan PC, Mello-Thoms C.A model based on temporal dynamics of fixations for distinguishing expert radiologists’ scanpaths. SPIE Medical Imaging; 2017: SPIE.
Gandomkar Z, Tay K, Ryder W, Brennan PC, Mello-Thoms C.iCAP: An Individualized Model Combining Gaze Parameters and Image-Based Features to Predict Radiologists’ Decisions While Reading Mammograms. IEEE Transactions on Medical Imaging. 2017;36(5):1066-75.
Li T, Tang L, Gandomkar Z, Heard R, Mello-Thoms C, Shao Z, et al.Breast density and other factors for breast cancer risk for Chinese women. The Breast. 2017;32:S56.
Suleiman M, McEntee MF, Cartwright L, Diffey J, Brennan PC.Diagnostic reference levels for digital mammography in New South Wales. Journal of Medical Imaging and Radiation Oncology. 2017;61(1):48-57.
Suleiman ME, Brennan PC, McEntee MF.Mean glandular dose in digital mammography: a dose calculation method comparison. Journal of Medical Imaging. 2017;4(1):013502.
Taba ST, Hossain L, Heard R, Brennan P, Lee W, Lewis S.Applying a social network analysis (SNA) approach to understanding radiologists’ performance in reading mammograms. SPIE Medical Imaging; 2017: SPIE.
Taba ST, Hossain L, Willis K, Lewis S.Social networks and expertise development for Australian breast radiologists. BMC Health Services Research. 2017;17(1):131.
Tapia K, Lee W, Brennan PC.Breast Screen Reader Assessment Strategy: Transforming Breast Cancer Diagnosis Globally: A Mini Review. International Radiology & Radiation Therapy, 4(1): 00088.
Tapia KA, Garvey G, Entee MM, Rickard M, Brennan P. Breast Cancer in Australian Indigenous Women: Incidence, Mortality, and Risk Factors. Asian Pacific Journal of Cancer Prevention: APJCP. 2017;18(4):873-84.
Trieu PD, Mello-Thoms C, Peat JK, Do TD, Brennan PC. Inconsistencies of Breast Cancer Risk Factors between the Northern and Southern Regions of Vietnam. Asian Pacific Journal of Cancer Prevention: APJCP. 2017;18(10):2747-54.
Trieu PD, Mello-Thoms C, Peat JK, Do TD, Brennan PC. Risk Factors of Female Breast Cancer in Vietnam: A Case-Control Study. Cancer Res Treat. 2017;49(4):990-1000.
Trieu PD, Mello-Thoms C, Peat JK, Doan Do T, Brennan PC. Associations of Breast Density With Demographic, Reproductive, and Lifestyle Factors in a Developing Southeast Asian Population. Asia Pacific Journal of Public Health. 2017;29(5):377-87.
Trieu PD, Mello-Thoms C, Peat J, Do DT, Brennan PC. Characterization of breast density in Vietnamese women and its association with demographic, reproductive and lifestyle factors. Proc. SPIE 10136, Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment.
Zoey A, Mohammad R, Rob H, Patrick B, Warwick L, Sarah L. Classification of normal screening mammograms is strongly influenced by perceived mammographic breast density. Journal of Medical Imaging and Radiation Oncology. 2017;61(4):461-9.

2016

Seyedamir Tavakoli Taba, Liaquat Hossain, Robert Heard, Patrick Brennan, Warwick Lee, and Sarah Lewis.Personal and Network Dynamics in Performance of Knowledge Workers: A Study of Australian Breast Radiologists. PLoS One. 2016; 11(2): e0150186. Published online 2016 Feb 26. doi: 10.1371/journal.pone.0150186
Littlefair S, Brennan PC, Mello-Thoms C, Trieu PD, Pietryzk M, Talanow R, Reed W (2016). Outcomes Knowledge May Bias Radiological Decision-making. Academic Radiology,23(6),760- 767.
Damases CN, Mello-Thoms C, McEntee MF (2016).Inter-observer variability in mammographic density assessment using Royal Australian and New Zealand College of Radiologists (RANZCR) synoptic scales. J Med Imaging Radiat Oncol, doi: 10.1111/1754-9485.12451
Suleiman W, Rawashdeh M, Lewis S, McEntee M, Lee W, Tapia K, Brennan PC (2016).Impact of Breast Reader Assessment Strategy on mammographic radiologists’ test reading performance. J Med Imaging Radiat Oncol, doi: 10.1111/1754-9485.12461
Suleiman W, McEntee M, Lewis S, Rawashdeh M, Georgian-Smith D, Heard R, Tapia K, Brennan P (2016).In the digital era, architectural distortion remains a challenging radiological task. Clin Radiol; 71(1):e35-40
Alakhras MM, Mello-Thoms C, Bourne R, Rickard M, Diffey J, Brennan PC.Radiation dose differences between digital mammography and digital breast tomosynthesis are dependent on breast thickness. Proc. SPIE 9783, Medical Imaging 2016: Physics of Medical Imaging, 97832R (22 March 2016), doi: 10.1117/12.2216492
Ekpo EU, Mello-Thoms C, Rickard M, Brennan PC, McEntee MF.Quantra reproduces BI-RADS assessment on a two-point scale. Proc. SPIE 9787, Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, 978702 (24 March 2016), doi: 10.1117/12.2205391
Ang ZY, Rawashdeh MA, Heard R, Brennan PC, Lee WB, Lewis SJ.The classification of normal screening mammograms. Proc. SPIE 9787, Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, 97870I (24 March 2016), doi: 10.1117/12.2216626
Damases CN, Mello-Thoms C, McEntee MF, Lewis SJ.Inter-observer variability within BI-RADS and RANZCR mammographic density assessment schemes. Proc. SPIE 9787, Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, 97871C (24 March 2016), doi: 10.1117/12.2214932
Soh BP, Lee WB, Wong J, Sim L, Hillis SL, Tapia KA, Brennan PC.Varying performance in mammographic interpretation across two countries: Do results indicate reader or population variances?. Proc. SPIE 9787, Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, 97870X (24 March 2016), doi: 10.1117/12.2217654
Trieu PD, Lee WB , Tapia KA, Brennan PC. The effectiveness of the cranio-caudal mammogram projection among radiologists. Proc. SPIE 9787, Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, 97870Z (24 March 2016), doi: 10.1117/12.2216020
Rawashdeh MA, Vidotti C, Lee WB, Lewis SJ, Mello-Thoms C, Reed WM, Tapia K, Brennan PC.Investigating the link between the radiological experience and the allocation of an equivocal finding. Proc. SPIE 9787, Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, 978710 (24 March 2016), doi: 10.1117/12.2217475.
Gandomkar Z, Tay K, Ryder W, Brennan PC, Mello-Thoms C.Predicting radiologists’ true and false positive decisions in reading mammograms by using gaze parameters and image-based features. Proc. SPIE 9787, Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, 978715 (24 March 2016), doi: 10.1117/12.2217704

2015

Alakhras MM, Brennan PC, Rickard M, Bourne R, Mello-Thoms C.Effect of radiologists’ experience on breast cancer detection and localization using digital breast tomosynthesis. Eur Radiol (2015) 25:402–409.
Damases C, Brennan PC, McEntee MF.The impact of mammographic imaging systems on density measurement. Proc. SPIE 9416, Medical Imaging 2015: Image Perception, Observer Performance, and Technology Assessment, 94160A (March 17, 2015); doi:10.1117/12.2081725.
Trieu PD, Mello-Thoms C, Brennan PC (2015). Female breast cancer in Vietnam: a comparison across Asian specific regions. Cancer Biology & Medicine, 12(3), 238-245.
Rawashdeh MA, Lewis SJ, Lee W, Mello-Thoms C, Reed WM, McEntee M, Tapia K, Brennan PC.Experience in reading digital images may decrease observer accuracy in mammography. Proc. SPIE 9416, Medical Imaging 2015: Image Perception, Observer Performance, and Technology Assessment, 94161L (March 17, 2015); doi:10.1117/12.2081749.
Alakhras M, Mello-Thoms C, Rickard M, Bourne R, Brennan PC.The role of digital tomosynthesis in reducing the number of equivocal breast reportings. Proc. SPIE 9416, Medical Imaging 2015: Image Perception, Observer Performance, and Technology Assessment, 94161G (March 17, 2015); doi:10.1117/12.2081838.
Lewis SJ, Reed WM, Tan AN, Brennan PC, Lee W, Mello-Thoms C.Priming cases disturb visual search patterns in screening mammography. Proc. SPIE 9416, Medical Imaging 2015: Image Perception, Observer Performance, and Technology Assessment, 94160S (March 17, 2015); doi:10.1117/12.2082662.
Soh B, Lee W, Mello-Thoms C, Tapia K, Ryan J, Hung W, Thompson G, Heard R, Brennan P.Certain performance values arising from mammographic test set readings correlate well with clinical audit. Journal of Medical Imaging and Radiation Oncology, 2015.
Trieu PD, Brennan PC, Guiffre B, Mello-Thoms C, Tapia K, Santagelo N, Kim H, Cameron K, Hater C, Da Costa G, Sterba J, Lee WB.Evaluation of the effect of zoom function on lesion detection by soft copy reading of screening mammograms. Journal of Medical Imaging and Radiation Oncology 2015; 59: 292–299.

2014

Al Mousa DS, Brennan PC, Ryan J, Mello-Thoms C.Mammographic Density Effect on Readers’ Performance and Visual Search Pattern. The 12th International Workshop on Breast Imaging 2014 proceedings, Springer LNCS: 8539
Brennan PC, Trieu PD, Tapia K, Ryan J, Mello-Thoms C, Lee W.BREAST: A Novel Strategy to Improve the Detection of Breast Cancer. The 12th International Workshop on Breast Imaging 2014 proceedings, Springer LNCS: 8539
Mello-Thoms C, Trieu PD, Brennan, PC (2014). Going on with false beliefs: What if satisfaction of search was really suppression of recognition? Proc. SPIE 9037, Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, 903708; doi: 10.1117/12.2044370.
Suleiman WI, Lewis S, Georgian-Smith M.D., Evanoff MG, McEntee MF.A comparison of Australian and USA radiologists’ performance in detection of breast cancer. SPIE Medical Imaging 2014: Image Perception, Observer Performance, and Technology Assessment, Bellingham, WA: SPIE Publications.
Suleiman WI, Lewis S, Georgian-Smith M.D., Evanoff MG, McEntee MF.Number of mammography cases read per year is a strong predictor of sensitivity. Journal of Medical Imaging 2014, 1(1).
Soh BP, Lee WB, McEntee MF, Kench PL, Reed WM, Heard R, Chakraborty DP, Brennan PC.Mammography test sets: Reading location and prior images do not affect group performance.. Clinical Radiology 2014, 69(4):397-402.
Al Mousa DS, Ryan E, Mello-Thoms C, Brennan PC.What effect does mammographic breast density have on lesion detection in digital mammography? Clinical Radiology 2014, 69(4):333-41.
Lewis S, Mello-Thoms C, Brennan P, Lee W, Tan A, McEntee M, Evanoff M, Pietrzyk M, Reed W.Assessing the effect of a true-positive recall case in screening mammography: does perceptual priming alter radiologists’ performance? British Journal of Radiology 2014, 87(1039):20140029.
Alcantara S, Reed W, Willis K, Brennan P, Lee W, Lewis S.Radiologist participation in multi-disciplinary teams in breast cancer improves reflective practice, decision making and isolation. European Journal of Cancer Care 2014, DOI: 10.1111/ecc.12169.
Soh B, Lee W, Mello-Thoms C, Tapia K, Ryan J, Hung W, Thompson G, Heard R, Brennan P.Does sensitivity measured from screening test-sets predict clinical performance? SPIE Medical Imaging 2014: Image Perception, Observer Performance, and Technology Assessment, Bellingham, WA: SPIE Publications.
Lewis S, Mello-Thoms C, Brennan PC, Cumming S, Keane K, MacKay S.Investigating links between emotional intelligence and observer performance by radiologists in mammography. SPIE Medical Imaging, Image Perception, Observer Performance, and Technology Assessment 2014, 90370B . Bellingham, WA: SPIE Publications.

2013

Al Mousa DS, Brennan PC, Ryan J, Mello-Thoms C.Mammographic Density Effect on Readers’ Performance and Visual Search Pattern. The 12th International Workshop on Breast Imaging 2014 proceedings, Springer LNCS: 8539
Brennan PC, Trieu PD, Tapia K, Ryan J, Mello-Thoms C, Lee W.BREAST: A Novel Strategy to Improve the Detection of Breast Cancer. The 12th International Workshop on Breast Imaging 2014 proceedings, Springer LNCS: 8539
Mello-Thoms C, Trieu PD, Brennan, PC (2014). Going on with false beliefs: What if satisfaction of search was really suppression of recognition? Proc. SPIE 9037, Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, 903708; doi: 10.1117/12.2044370.
Suleiman WI, Lewis S, Georgian-Smith M.D., Evanoff MG, McEntee MF.A comparison of Australian and USA radiologists’ performance in detection of breast cancer. SPIE Medical Imaging 2014: Image Perception, Observer Performance, and Technology Assessment, Bellingham, WA: SPIE Publications.
Suleiman WI, Lewis S, Georgian-Smith M.D., Evanoff MG, McEntee MF.Number of mammography cases read per year is a strong predictor of sensitivity. Journal of Medical Imaging 2014, 1(1).
Soh BP, Lee WB, McEntee MF, Kench PL, Reed WM, Heard R, Chakraborty DP, Brennan PC.Mammography test sets: Reading location and prior images do not affect group performance.. Clinical Radiology 2014, 69(4):397-402.
Al Mousa DS, Ryan E, Mello-Thoms C, Brennan PC.What effect does mammographic breast density have on lesion detection in digital mammography? Clinical Radiology 2014, 69(4):333-41.
Lewis S, Mello-Thoms C, Brennan P, Lee W, Tan A, McEntee M, Evanoff M, Pietrzyk M, Reed W.Assessing the effect of a true-positive recall case in screening mammography: does perceptual priming alter radiologists’ performance? British Journal of Radiology 2014, 87(1039):20140029.
Alcantara S, Reed W, Willis K, Brennan P, Lee W, Lewis S.Radiologist participation in multi-disciplinary teams in breast cancer improves reflective practice, decision making and isolation. European Journal of Cancer Care 2014, DOI: 10.1111/ecc.12169.
Soh B, Lee W, Mello-Thoms C, Tapia K, Ryan J, Hung W, Thompson G, Heard R, Brennan P.Does sensitivity measured from screening test-sets predict clinical performance? SPIE Medical Imaging 2014: Image Perception, Observer Performance, and Technology Assessment, Bellingham, WA: SPIE Publications.
Lewis S, Mello-Thoms C, Brennan PC, Cumming S, Keane K, MacKay S.Investigating links between emotional intelligence and observer performance by radiologists in mammography. SPIE Medical Imaging, Image Perception, Observer Performance, and Technology Assessment 2014, 90370B . Bellingham, WA: SPIE Publications.

2012

Brennan PC, Soh BP. The challenge of assessing reader performance in mammography. Clin Radiol. 2012 Feb;67(2):192. Epub 2011 Nov 25.
Soh BLP, Lee WB, Kench P, Reed WM, McEntee M, Poulos A, Brennan PC .Assessing reader performance in radiology, an imperfect science: lessons from breast screening. Clin Radiol 2012 Jul;67(7):623-8
Li Y, Brennan, PC, Lee W, Ryan JT, Cawson J, Nickson C, Reed WM, Pietrzyk MW, Mousa AD, Ryan E 2012 .Outlining and categorising mammographic breast density:expert radiologist perception. Proceedings of the SPIE Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, Bellingham, WA, USA, 8318

2011

Rawashdeh M, Lee W, Brennan P, Reed W, McEntee M, and Bourne R.Measurement of breast lesion display luminance and overall image display luminance relative to optimum luminance for contrast perception. SPIE 7966, 79660Z (2011)
Reed WM, Ryan JT, McEntee MF, Evanoff MG, Brennan PC.The effect of abnormality-prevalence expectation on expert observer performance and visual search. 2011 Mar;258(3):938-43.
Pietrzyk M, Donovan T, Brennan PC, Dix A, and Manning DJ.Classification of radiological errors in chest radiographs, using support vector machine on the spatial frequency features of false- negative and false-positive regions. SPIE 7966, 79660A (2011)
Kohli A, Robinson J, Ryan J, McEntee MF, and Brennan PC.Reader characteristics linked to detection of pulmonary nodules on radiographs: ROC vs. JAFROC analyses of performance. SPIE 7966, 79660K (2011)

2010

Osborne J and Lee WB. Evaluation of the legal risk of “missed cancers” in 2 BreastScreen Services. JMIRO 54(2010) 24-25
Reed WM, Lee WB, Cawson JN, Brennan PC.Malignancy detection in digital mammograms: important reader characteristics and required case numbers. Acad Radiol. 2010 Nov;17(11):1409-13.
Lowe JM, Brennan PC, Evanoff MG, McEntee MF.Variations in performance of LCDs are still evident after DICOM gray-scale standard display calibration. AJR Am J Roentgenol. 2010 Jul;195(1):181-7.

2009

Reed W, Poulos A, Rickard M, Brennan P.Reader practice in mammography screen reporting in Australia. J Med Imaging Radiat Oncol. 2009 Dec;53:530-7.
Haygood TM, Arribas E, Brennan PC, Atkinson EN, Herndon M, Dieber J, Geiser W, Santiago L, Mills CM, Davis P, Adrada B, Carkaci S, Stephens TW, Whitman GJ.Conspicuity of microcalcifications on digital screening mammograms using varying degrees of monitor zooming. Acad Radiol. Dec;16(12):1509-17.
Hardy V, Svensson J, Brennan PC. The use of simple chest and breast measures as an indicator of appropriate compensation strategies in post-operative radiotherapy of the breast. Radiography Ireland 13: 58-62

2008

Brennan PC, Ryan J, Evanoff M, Toomey R, O’Beirne A, Manning D, Chakraborty DP, McEntee M.The impact of acoustic noise found within clinical departments on radiology performance. Acad Radiol. 15:472-6.
O’Connell NM, Toomey RJ, McEntee M, Ryan J, Stowe J, Adams A, Brennan PC.Optimization of region of interest luminances may enhance radiologists’ light adaptation. Acad Radiol. 15:488-93.
O’Connell NM, Toomey RJ, McEntee M, Ryan J, Stowe J, Adams A, Brennan PC.Radiological image presentation requires consideration of human adaptation characteristics. Progress in Biomedical Optics and Imaging 9: 69171l-8
Toomey RJ, Curran K, D’Helft C, Joyce MB, Stowe R, Ryan JT, McEntee MF, Manning D,; Brennan PC.Visual adaptation: softcopy image contribution to the observer’s field of view. Progress in Biomedical Optics and Imaging 9: 69170O-6

2007

Rainford LA, Al-Qattan E, McFadden S, Brennan PC.CEC analysis of radiological images produced in Europe and Asia.Radiography 13: 202-209
Brennan PC, McEntee M, Evanoff M, Phillips P, O’Connor WT, Manning DJ. Ambient lighting: Setting international standards for the viewing of softcopy radiological images. American Journal of Roentgenology, 188, W177-80
Ryan JT, McEntee MF, Manning DJ, Evanoff MG, Chakraborty DP, Keeling A, Brennan PC.Ambient lighting: Setting international standards for the viewing of softcopy chest images. Proceedings of the International Society of Optical Engineering, 6515: 65150M1-65150M10
Murphy P, Brennan PC.Ambient light levels for radiological soft copy viewing: a multi-site comparison. Canadian Journal of Medical Radiation Technology, 38: 9-13
Toomey R, Brennan PC. Breast imaging: the impact of ambient lighting. Radiography Ireland, 10: 82-84

2001-2006

Brennan PC Mc Entee M, Evanoff M, Manning D.Optimum ambient lighting conditions for the viewing of softcopy radiological images. Proceedings of the 2006 International Society of Optical Engineering, 6146: 61460W1-61460W9
Hung WT, Nguyen HT, Lee WB, Rickard MT, Thornton BT, Blinowska A.Diagnostic abilities of three CAD methods for assessing microcalcifications in mammograms and an aspect of equivocal cases decisions by radiologists. Australian Physical & Engineering Sciences in Medicine 2003, 26 (3): 78-83
Ung OA, Lee WB, Greenberg ML, Bilous M.Complex Sclerosing Lesion: The Lesion is Complex, The Management is Straightforward. ANZ J. Surg. (2001) 71, 35-40

News

New BREAST test set alert:

‘High breast density’ was released at the BreastScreen Conference. In March 2024, the BREAST team ran a workshop at the BreastScreen conference in Canberra. We released our latest test set ‘High breast density’ which contains 60 cases and 2 CPD hours can be claimed. In addition, for the first time, we offered our sessions to…

August 19, 2024
High School STEM program

Since 2016, the BREAST team has helped students from a rural NSW high school explore research questions around how radiologists detect breast cancers on mammograms. Using data from the BREAST databank and involving radiologists from all over the world, Year 9 to 11 students from St. Matthew’s High School in Mudgee are working to help…

May 14, 2024
Please meet the latest member of our team Dr Natacha Borecky!

Dr Natacha Borecky is a Doctor in Medicine and Specialist in Radiology graduated from the University Catholic of Brussels (UCL) in Belgium. She had worked several years in general radiology with a special interest in Breast Imaging in Switzerland before moving with her Australian family to Australia 20 years ago. Natacha started working for BreastScreen…

August 20, 2020