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Architecture distortion score (ADS) in malignancy risk stratification of architecture distortion on contrast-enhanced digital mammography

OBJECTIVE: To develop a risk predictor model in evaluation of tomosynthesis-detected architectural distortion (AD) based on characteristics of contrast-enhanced digital mammography (CEDM). METHODS: Ninety-four AD lesions on CEDM in combination with tomosynthesis were retrospectively reviewed from 92...

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Autores principales: Goh, Yonggeng, Chan, Ching Wan, Pillay, Premilla, Lee, Herng-Sheng, Pan, Huay-Ben, Hung, Bao-Hui, Quek, Swee Tian, Chou, Chen-Pin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8043942/
https://www.ncbi.nlm.nih.gov/pubmed/33125555
http://dx.doi.org/10.1007/s00330-020-07395-3
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author Goh, Yonggeng
Chan, Ching Wan
Pillay, Premilla
Lee, Herng-Sheng
Pan, Huay-Ben
Hung, Bao-Hui
Quek, Swee Tian
Chou, Chen-Pin
author_facet Goh, Yonggeng
Chan, Ching Wan
Pillay, Premilla
Lee, Herng-Sheng
Pan, Huay-Ben
Hung, Bao-Hui
Quek, Swee Tian
Chou, Chen-Pin
author_sort Goh, Yonggeng
collection PubMed
description OBJECTIVE: To develop a risk predictor model in evaluation of tomosynthesis-detected architectural distortion (AD) based on characteristics of contrast-enhanced digital mammography (CEDM). METHODS: Ninety-four AD lesions on CEDM in combination with tomosynthesis were retrospectively reviewed from 92 consecutive women (mean age, 52.4 years ± 7.9) with abnormal diagnostic or screening mammography. CEDM results were correlated with histology of ADs using cross-tabulation for statistical analysis. Predictors for risk of malignancy from CEDM characteristics (background parenchyma enhancement, degree of AD enhancement, enhancing morphology, size of enhancement, and enhancing spiculations) and patient’s age were evaluated using logistic regression. We propose a sum score, termed AD score (ADS), for risk stratification and corresponding suggested BI-RADS category. RESULTS: Thirty-three of ninety-four (35.1%) of detected AD lesions were malignant. The sensitivity, specificity, PPV, and NPV of CEDM in evaluation of malignant AD are 100%, 42.6%, 48.5%, and 100%, respectively. Absence of AD enhancement on CEDM is highly indicative of no underlying malignancy. On multivariate analysis, the predictors on CEDM with statistical significance are (1) marked intensity of AD enhancement (OR, 22.6; 95%CI 3.1, 166.6; p = .002); and (2) presence of enhancing spiculations (OR, 9.1; 95%CI 2.2, 36.5; p = .002). A prediction model whose scores (ADS) given by ranking of OR of all predictors with AUC of 0.934 and Brier score of 0.0956 was developed. CONCLUSION: ADS-based lesion characterization on CEDM enables risk assessment of tomosynthesis-detected AD lesions. KEY POINTS: • Architecture distortions presenting with marked enhancement intensity and presence of enhancing spiculations are highly associated with risk of malignancy. • Absence of architecture distortion enhancement in minimal or mild background parenchyma enhancement on CEDM indicates low risk of breast malignancy (NPV = 100%). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00330-020-07395-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-80439422021-04-27 Architecture distortion score (ADS) in malignancy risk stratification of architecture distortion on contrast-enhanced digital mammography Goh, Yonggeng Chan, Ching Wan Pillay, Premilla Lee, Herng-Sheng Pan, Huay-Ben Hung, Bao-Hui Quek, Swee Tian Chou, Chen-Pin Eur Radiol Breast OBJECTIVE: To develop a risk predictor model in evaluation of tomosynthesis-detected architectural distortion (AD) based on characteristics of contrast-enhanced digital mammography (CEDM). METHODS: Ninety-four AD lesions on CEDM in combination with tomosynthesis were retrospectively reviewed from 92 consecutive women (mean age, 52.4 years ± 7.9) with abnormal diagnostic or screening mammography. CEDM results were correlated with histology of ADs using cross-tabulation for statistical analysis. Predictors for risk of malignancy from CEDM characteristics (background parenchyma enhancement, degree of AD enhancement, enhancing morphology, size of enhancement, and enhancing spiculations) and patient’s age were evaluated using logistic regression. We propose a sum score, termed AD score (ADS), for risk stratification and corresponding suggested BI-RADS category. RESULTS: Thirty-three of ninety-four (35.1%) of detected AD lesions were malignant. The sensitivity, specificity, PPV, and NPV of CEDM in evaluation of malignant AD are 100%, 42.6%, 48.5%, and 100%, respectively. Absence of AD enhancement on CEDM is highly indicative of no underlying malignancy. On multivariate analysis, the predictors on CEDM with statistical significance are (1) marked intensity of AD enhancement (OR, 22.6; 95%CI 3.1, 166.6; p = .002); and (2) presence of enhancing spiculations (OR, 9.1; 95%CI 2.2, 36.5; p = .002). A prediction model whose scores (ADS) given by ranking of OR of all predictors with AUC of 0.934 and Brier score of 0.0956 was developed. CONCLUSION: ADS-based lesion characterization on CEDM enables risk assessment of tomosynthesis-detected AD lesions. KEY POINTS: • Architecture distortions presenting with marked enhancement intensity and presence of enhancing spiculations are highly associated with risk of malignancy. • Absence of architecture distortion enhancement in minimal or mild background parenchyma enhancement on CEDM indicates low risk of breast malignancy (NPV = 100%). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00330-020-07395-3) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2020-10-30 2021 /pmc/articles/PMC8043942/ /pubmed/33125555 http://dx.doi.org/10.1007/s00330-020-07395-3 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Breast
Goh, Yonggeng
Chan, Ching Wan
Pillay, Premilla
Lee, Herng-Sheng
Pan, Huay-Ben
Hung, Bao-Hui
Quek, Swee Tian
Chou, Chen-Pin
Architecture distortion score (ADS) in malignancy risk stratification of architecture distortion on contrast-enhanced digital mammography
title Architecture distortion score (ADS) in malignancy risk stratification of architecture distortion on contrast-enhanced digital mammography
title_full Architecture distortion score (ADS) in malignancy risk stratification of architecture distortion on contrast-enhanced digital mammography
title_fullStr Architecture distortion score (ADS) in malignancy risk stratification of architecture distortion on contrast-enhanced digital mammography
title_full_unstemmed Architecture distortion score (ADS) in malignancy risk stratification of architecture distortion on contrast-enhanced digital mammography
title_short Architecture distortion score (ADS) in malignancy risk stratification of architecture distortion on contrast-enhanced digital mammography
title_sort architecture distortion score (ads) in malignancy risk stratification of architecture distortion on contrast-enhanced digital mammography
topic Breast
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8043942/
https://www.ncbi.nlm.nih.gov/pubmed/33125555
http://dx.doi.org/10.1007/s00330-020-07395-3
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