Dr. Phuong Dung Trieu Profile

Dr. Phuong Dung Trieu

at The Univ Of Sydney

SPIE Involvement:

Author

Publications (17)

Proceedings Article | 29 March 2024 Presentation + Paper

Artificial intelligence can improve cancer detection in a double reading screening mammography scenario

Zhengqiang Jiang, Ziba Gandomkar, Phuong Dung (Yun) Trieu, Seyedamir Tavakoli Taba, Melissa Barron, Sarah Lewis

Proceedings Volume 12929, 1292903 (2024) https://doi.org/10.1117/12.3006376

KEYWORDS: Cancer, Artificial intelligence, Mammography, Tumor growth modeling, Cancer detection, Machine learning, Performance modeling, Breast, Statistical modeling, Histograms

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Proceedings Article | 29 March 2024 Presentation + Paper

Exploring varied time intervals on diagnostic performances of radiologists and trainees via test sets

Phuong Dung (Yun) Trieu, Somphone Siviengphanom, Melissa Barron, Sarah Lewis

Proceedings Volume 12929, 129290M (2024) https://doi.org/10.1117/12.3008282

KEYWORDS: Education and training, Mammography, Radiology, Cancer detection

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Proceedings Article | 3 April 2023 Presentation + Paper

A comparative study of diagnostic performance and work experience of radiologists in three countries interpreting digital breast tomosynthesis

Elly Gallagher, Phuong Trieu, Ziba Gandomkar, Tong Li, Masoumeh Gity, Patrick Brennan, Sarah Lewis, Seyedamir Tavakoli Taba

Proceedings Volume 12467, 1246709 (2023) https://doi.org/10.1117/12.2651547

KEYWORDS: Digital breast tomosynthesis, Mammography, Education and training, Cancer, Breast cancer, Breast imaging, Diagnostics, Breast, Cancer detection, Radiology

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Proceedings Article | 3 April 2023 Poster + Paper

A progress in diagnostic performances of Vietnamese doctors in reading mammograms with different Level of breast density via the VIETRAD program

Iman Bint Talha, Oanh T. M. Tran, Due T. Ong, Thuy T. Hoang, Tuan A. Khuong, Dennis Wong, Karen Ho, Natacha Borecky, Mary Rickard, Sarah Lewis, Patrick Brennan, Phuong D. Trieu

Proceedings Volume 12467, 1246718 (2023) https://doi.org/10.1117/12.2655182

KEYWORDS: Mammography, Diagnostics, Breast density, Education and training, Breast cancer, Breast, Cancer, Cancer detection, Tissues, Statistical analysis

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Proceedings Article | 3 April 2023 Presentation + Paper

How do you solve a problem like concordance? a study of radiologists’ clinical annotations for mammographic AI training

Zhengqiang Jiang, Phuong Trieu, Ziba Gandomkar, Seyedamir Tavakoli Taba, Melissa Barron, Sarah Lewis

Proceedings Volume 12467, 124670M (2023) https://doi.org/10.1117/12.2654147

KEYWORDS: Mammography, Current controlled current source, Artificial intelligence, Education and training, Breast density, Cancer, Cancer detection, Breast cancer

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Proceedings Article | 3 April 2023 Poster + Paper

Diagnostic performance characteristics of Chinese radiologists in breast cancer detection with FFDM versus DBT images

Jia Lin Chua, Qin Xiao, Tong Li, Yajia Gu, Melissa Robinson, Kriscia Tapia, Sarah Lewis, Phuong Trieu

Proceedings Volume 12467, 1246715 (2023) https://doi.org/10.1117/12.2654277

KEYWORDS: Digital breast tomosynthesis, Cancer, Cancer detection, Breast cancer, Education and training, Mammography, Breast, Diagnostics, Architectural distortion, Breast density

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SPIE Journal Paper | 27 March 2023

Variations of image interpretations of radiologists from different populations in mammography and tomosynthesis with different levels of breast density

Phuong Dung Trieu, Qin Xiao, Yajia Gu, Sarah J. Lewis, Melissa L. Barron, Kriscia Tapia, Patrick C. Brennan, Tong Li

JMI, Vol. 10, Issue 02, 025502, (March 2023) https://doi.org/10.1117/12.10.1117/1.JMI.10.2.025502

KEYWORDS: Digital breast tomosynthesis, Breast density, Mammography, Breast, Cancer, Education and training, Diagnostics, Breast cancer, Cancer detection, Radiology

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PurposeThis study aims to investigate the diagnostic performances of Australian and Shanghai-based Chinese radiologists in reading full-field digital mammogram (FFDM) and digital breast tomosynthesis (DBT) with different levels of breast density.ApproachEighty-two Australian radiologists interpreted a 60-case FFDM set, and 29 radiologists also reported a 35-case DBT set. Sixty Shanghai radiologists read the same FFDM set, and 32 radiologists read the DBT set. The diagnostic performances of Australian and Shanghai radiologists were assessed using truth data (cancer cases were biopsy proven) and compared overall in specificity, case sensitivity, lesion sensitivity, receiver operating characteristics (ROC) area under the curve, and jack-knife free-response receiver operating characteristics (JAFROC) figure of merit, and they were stratified by case characteristics using the Mann–Whitney U test. The Spearman rank test was used to explore the association between radiologists’ performances and their work experience in mammogram interpretation.ResultsThere were significantly higher performances of Australian radiologists compared with Shanghai radiologists in low breast density for case sensitivity, lesion sensitivity, ROC, and JAFROC in the FFDM set (P < 0.0001); in high breast density, Shanghai radiologists’ performances in lesion sensitivity and JAFROC were also lower than Australian radiologists (P < 0.0001). In the DBT test set, Australian radiologists performed better than Shanghai radiologists in cancer detection in both low and high breast density. The work experience of Australian radiologists was positively linked to their diagnostic performances, whereas this association was not statistically significant in Shanghai radiologists.ConclusionThere were significant variations in reading performances between Australian and Shanghai radiologists in FFDM and DBT across different levels of breast density, lesion types, and lesion sizes. An effective training initiative tailored to suit local readers is essential to enhancing the diagnostic accuracy of Shanghai radiologists.

Proceedings Article | 13 July 2022 Paper

Prior mammogram review may affect the performance of radiology trainees in identifying breast cancers and normal cases

Sarah Lewis, Tong Li, Natacha Borecky, Patrick Brennan, Melissa Barron, Phuong D. (Yun) Trieu

Proceedings Volume 12286, 1228611 (2022) https://doi.org/10.1117/12.2624189

KEYWORDS: Radiology, Mammography, Breast, Cancer, Breast cancer, Diagnostics, Imaging systems, Tissues, Visualization, Roads

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Proceedings Article | 4 April 2022 Presentation + Paper

Diagnostic performances of radiology trainees in reading digital breast tomosynthesis and the synthesized view

Phuong Dung (Yun) Trieu, Jennifer Noakes, Natacha Borecky, Tong Li, Patrick Brennan, Melissa Barron, Sarah Lewis

Proceedings Volume 12035, 120350H (2022) https://doi.org/10.1117/12.2611268

KEYWORDS: Digital breast tomosynthesis, Breast, Radiology, Diagnostics, Cancer, Mammography, Pathology, Breast cancer, Receivers, Medical imaging

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Proceedings Article | 15 February 2021 Presentation + Paper

A retrospective comparative study of reading performances between radiologists from two countries in the assessment of 3D mammography

Ziba Gandomkar, Tong Li, PhuongDung Trieu, Sarah Lewis, Patrick Brennan

Proceedings Volume 11599, 115990U (2021) https://doi.org/10.1117/12.2582051

KEYWORDS: Mammography, Receivers, Diagnostics, Cancer

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Proceedings Article | 16 March 2020 Presentation + Paper

Investigating the potential of a gist-sensitive computer-aided detection tool

Ziba Gandomkar, Ernest Ekpo, Sarah Lewis, Moayyad Suleiman, Kriscia Tapia, Tong Li, Seyedamir Tavakoli Taba, Phuong Dung Trieu, Patrick Brennan

Proceedings Volume 11316, 113160J (2020) https://doi.org/10.1117/12.2549921

KEYWORDS: Breast cancer, Mammography, Cancer, Medical imaging, Image processing, Breast, Computer aided diagnosis and therapy

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Proceedings Article | 4 March 2019 Presentation + Paper

Does the strength of the gist signal predict the difficulty of breast cancer detection in usual presentation and reporting mechanisms?

Ziba Gandomkar, Ernest Ekpo, Sarah Lewis, Karla Evans, Kriscia Tapia, PhuongDung Trieu, Jeremy Wolfe, Patrick Brennan

Proceedings Volume 10952, 1095203 (2019) https://doi.org/10.1117/12.2513151

KEYWORDS: Cancer, Mammography, Breast, Breast cancer, Visualization, Radiology

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Proceedings Article | 6 July 2018 Paper

Detection of the abnormal gist in the prior mammograms even with no overt sign of breast cancer

Ziba Gandomkar, Ernest Ekpo, Sarah Lewis, Karla Evans, Kriscia Tapia, Phuong-Dung Trieu, Jeremy Wolfe, Patrick Brennan

Proceedings Volume 10718, 1071804 (2018) https://doi.org/10.1117/12.2318321

KEYWORDS: Mammography, Cancer, Breast, Breast cancer, Biopsy, Signal detection, Medical imaging, Visualization, Receivers, Image processing

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Proceedings Article | 10 March 2017 Paper

Characterization of breast density in Vietnam and its association with demographic, reproductive and lifestyle factors

Phuong Dung (Yun) Trieu, Claudia Mello-Thoms, Jenny Peat, Thuan Doan Do, Patrick Brennan

Proceedings Volume 10136, 101361K (2017) https://doi.org/10.1117/12.2253993

KEYWORDS: Breast, Breast cancer, Mammography, Cancer, Breast imaging, Imaging systems, Radiology, Oncology, Medical imaging, Binary data, Statistical analysis

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Proceedings Article | 24 March 2016 Paper

The effectiveness of the cranio-caudal mammogram projection among radiologists

Phuong Dung (Yun) Trieu, Warwick Lee, Kriscia Tapia, Patrick Brennan

Proceedings Volume 9787, 97870Z (2016) https://doi.org/10.1117/12.2216020

KEYWORDS: Mammography, Breast, Cancer, Breast cancer, Diagnostics, Digital mammography, Medical imaging, Digital imaging, Data analysis, Health sciences

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