Dr. Kriscia A. Tapia Profile

Dr. Kriscia A. Tapia

Project Manager at Univ of Sydney

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Publications (16)

Proceedings Article | 29 March 2024 Presentation + Paper

Radiologists’ performance in diagnosing silicosis on high-resolution computed tomography (HRCT) scans: an online platform

Jessica Yi, Kriscia Tapia, John Robinson, Ziba Gandomkar, Mo'ayyad Suleiman, Patrick Brennan, Nigel Sommerfeld, Seyedamir Tavakoli Taba

Proceedings Volume 12929, 1292908 (2024) https://doi.org/10.1117/12.3006114

KEYWORDS: Education and training, Opacity, Radiology, Pulmonary disorders, Lung, Diagnostics, Computed tomography, Emphysema, Lymph nodes, Chest, Chest imaging, Silica, Accuracy assessment

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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 | 15 February 2021 Presentation + Paper

Effect of time awake and hours slept at night on radiologists’ interpretations of mammogram images

Abdulaziz Alshabibi, Moayyad Suleiman, Kriscia Tapia, Robert Heard, Patrick Brennan

Proceedings Volume 11599, 115990R (2021) https://doi.org/10.1117/12.2580835

KEYWORDS: Mammography, Databases, Breast

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Proceedings Article | 22 May 2020 Paper

Expert radiologist performance does not appear to impact upon their capability in perceiving the gist of the abnormal on mammograms

Ziba Gandomkar, Ernest Ekpo, Ziliang Chen, Moayyad Suleiman, Tong Li, Kriscia Tapia, Patrick Brennan, Sarah Lewis

Proceedings Volume 11513, 115130L (2020) https://doi.org/10.1117/12.2564275

KEYWORDS: Mammography, Breast cancer, Breast, Radiology

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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 | 16 March 2020 Presentation + Paper

Effect of time of day on radiology image interpretations

Abdulaziz Alshabibi, Moayyad Suleiman, Kriscia Tapia, Robert Heard, Patrick Brennan

Proceedings Volume 11316, 1131608 (2020) https://doi.org/10.1117/12.2543503

KEYWORDS: Mammography, Radiology, Breast, Breast cancer, Databases, Medical imaging, Receivers, Visualization, LCDs, Health sciences

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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 | 7 March 2018 Paper

Characteristics of the group of radiologists that benefits the most using Breast Screen Reader Assessment Strategy (BREAST)

A. Ganesan, M. Alakhras, P. Brennan, W. Lee, K. Tapia, C. Mello-Thoms

Proceedings Volume 10577, 1057718 (2018) https://doi.org/10.1117/12.2293511

KEYWORDS: Breast, Mammography, Breast cancer, Cancer, Visualization, Medical imaging, Medical research, Health sciences, Digital mammography

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Proceedings Article | 24 March 2016 Paper

Varying performance in mammographic interpretation across two countries: Do results indicate reader or population variances?

BaoLin P. Soh, Warwick Lee, Jill Wong, Llewellyn Sim, Stephen Hillis, Kriscia Tapia, Patrick Brennan

Proceedings Volume 9787, 97870X (2016) https://doi.org/10.1117/12.2217654

KEYWORDS: Breast, Mammography, Breast cancer, Teleradiology, Breast cancer, Diagnostics, Cancer, Medical imaging, Radiology, Digital imaging, Image compression

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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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Proceedings Article | 24 March 2016 Paper

Investigating the link between the radiological experience and the allocation of an 'equivocal finding'

Mohammad Rawashdeh, Camila Vidotti, Warwick Lee, Sarah Lewis, Claudia Mello-Thoms, Warren Reed, Kriscia Tapia, Patrick Brennan

Proceedings Volume 9787, 978710 (2016) https://doi.org/10.1117/12.2217475

KEYWORDS: Mammography, Breast, Image analysis, Health sciences, Biopsy, Breast imaging, Cancer, Medical imaging, Breast cancer, Fine needle aspiration, Statistical analysis

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Rationale and Objectives: This study will investigate the link between radiologists’ experience in reporting mammograms, their caseloads and the decision to give a classification of Royal Australian and New Zealand College of Radiologists (RANZCR) category ‘3’ (indeterminate or equivocal finding). Methods: A test set of 60 mammograms comprising of 20 abnormal and 40 normal cases were shown to 92 radiologists. Each radiologist was asked to identify and localize abnormalities and provide a RANZCR assessment category. Details were obtained from each reader regarding their experience, qualifications and breast reading activities. ‘Equivocal fractions’ were calculated by dividing the number of ‘equivocal findings’ given by each radiologist in the abnormal and normal cases by the total number of cases analyzed: 20 and 40 respectively. The ‘equivocal fractions’ for each of the groups (normal vs abnormal) were calculated and independently correlated with age, number of years since qualification as a radiologist, number of years reading mammograms, number of mammograms read per year, number of hours reading mammograms per week and number of mammograms read over lifetime (the number of years reading mammograms multiplied by the number of mammograms read per year). The non-parametric Spearman test was used. Results: Statistically negative correlations were noted between ‘equivocal fractions’ for the following groups: • For abnormal cases: hours per week (r= -0.38 P= 0.0001) • For normal cases: total number of mammograms read per year (r= -0.29, P= 0.006); number of mammograms read over lifetime (r= -0.21, P= 0.049)); hours reading mammograms per week (r= - 0.20, P= 0.05). Conclusion: Radiologists with greater reading experience assign fewer RANZCR category 3 or equivocal classifications. The findings have implications for screening program efficacy and recall rates. This work is still in progress and further data will be presented at the conference.

Proceedings Article | 17 March 2015 Paper

Experience in reading digital images may decrease observer accuracy in mammography

Mohammad Rawashdeh, Sarah Lewis, Warwick Lee, Claudia Mello-Thoms, Warren Reed, Mark McEntee, Kriscia Tapia, Patrick Brennan

Proceedings Volume 9416, 94161L (2015) https://doi.org/10.1117/12.2081749

KEYWORDS: Mammography, Breast, Digital mammography, Cancer, Breast cancer, Statistical analysis, Radiology, Receivers, Medical imaging

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Proceedings Article | 11 March 2014 Paper

Does sensitivity measured from screening test-sets predict clinical performance?

BaoLin Soh, Warwick Lee, Claudia Mello-Thoms, Kriscia Tapia, John Ryan, Wai Tak Hung, Graham Thompson, Rob Heard, Patrick Brennan

Proceedings Volume 9037, 90370R (2014) https://doi.org/10.1117/12.2035111

KEYWORDS: Breast, Cancer, Digital imaging, Medical imaging, Mammography, Roads, Image quality, Breast cancer, Software development, Statistical analysis

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Proceedings Article | 28 March 2013 Paper

BREAST: a novel method to improve the diagnostic efficacy of mammography

P. Brennan, K. Tapia, J. Ryan, W. Lee

Proceedings Volume 8673, 867307 (2013) https://doi.org/10.1117/12.2007451

KEYWORDS: Breast, Diagnostics, Mammography, Breast imaging, Breast cancer, Image quality, Medical imaging, Digital imaging, Imaging systems, Image analysis

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Showing 5 of 16 publications

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