Dr. Tong Li Profile

Dr. Tong Li

at Univ of Sydney

SPIE Involvement:

Author

Publications (15)

Proceedings Article | 3 April 2023 Presentation + Paper

Investigating the error-making patterns in reading high-density screening mammograms between radiologists from two countries

Xuetong Tao, Somphone Siviengphanom, Ziba Gandomkar, Tong Li, Warren Reed, Patrick Brennan

Proceedings Volume 12467, 124670B (2023) https://doi.org/10.1117/12.2655164

KEYWORDS: Mammography, Cancer, Education and training, Breast density, Breast, Diagnostics, Cancer detection, Breast cancer, Biopsy, Radiology

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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

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 | 4 April 2022 Poster + Paper

Diagnostic efficacy in screening mammograms does not improve with peer reading strategy: a Sino-Australian study

Wing Lam Chiu, Tong Li, Sarah Lewis

Proceedings Volume 12035, 1203518 (2022) https://doi.org/10.1117/12.2610992

KEYWORDS: Breast, Mammography, Breast cancer, Diagnostics, Cancer, Radiology, Picture Archiving and Communication System, Breast imaging, Tissues, Receivers

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