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Sonographic prediction of intraductal papillary carcinoma with partially cystic breast lesions

BACKGROUND: Intraductal papillary carcinoma (IDPC) is a rare but fatal disease. Preoperative ultrasound diagnosis of IDPC remains challenging and meaningful. The aim of the study was to determine an effective ultrasound model to predict intraductal papillary carcinoma (IDPC) in patients with partial...

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Autores principales: Gao, Luying, Lai, Xingjian, Zhang, Jing, Jiang, Yuxin, Li, Jianchu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9817258/
https://www.ncbi.nlm.nih.gov/pubmed/36609236
http://dx.doi.org/10.1186/s12880-022-00934-y
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author Gao, Luying
Lai, Xingjian
Zhang, Jing
Jiang, Yuxin
Li, Jianchu
author_facet Gao, Luying
Lai, Xingjian
Zhang, Jing
Jiang, Yuxin
Li, Jianchu
author_sort Gao, Luying
collection PubMed
description BACKGROUND: Intraductal papillary carcinoma (IDPC) is a rare but fatal disease. Preoperative ultrasound diagnosis of IDPC remains challenging and meaningful. The aim of the study was to determine an effective ultrasound model to predict intraductal papillary carcinoma (IDPC) in patients with partially cystic breast lesions on ultrasound. METHODS: We reviewed female patients with breast nodules who underwent biopsy or surgery between 2004 and 2019, and pathological results were used as the reference standard. We finally included 21 IDPC patients with partially cystic lesions on preoperative ultrasound matched to 40 patients with intraductal papilloma. The association of ultrasound features with IDPC was analysed. RESULTS: Posterior echo enhancement (P < 0.001), tumour size (P = 0.002), irregular shape (P = 0.003), wide base (P = 0.003), solid-mainly component (P = 0.013), rich Doppler flow (P < 0.001) and multiple lesions (P = 0.044) were associated with IDPC by univariate analysis. Based on univariate analysis, variables were included in the regression analysis to obtain independent factors. The regression analysis showed that microcalcification, multiple lesions, posterior echo enhancement, wide base of solid components and rich colour Doppler flow were predictors for IDPC (P < 0.001). The collective model of the independent factors (microcalcification, multiple lesions, posterior echo enhancement, wide base of solid components and rich colour Doppler flow) could predict IDPC with an area under the curve (AUC) of 0.99 (95% CI 0.95–1.00). The collective model had a better net benefit demonstrated by the decision curve. CONCLUSION: Ultrasonic features may be an applicable model for predicting IDPC with partially cystic breast lesions on ultrasound and has a better potential to facilitate decision-making preoperatively.
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spelling pubmed-98172582023-01-07 Sonographic prediction of intraductal papillary carcinoma with partially cystic breast lesions Gao, Luying Lai, Xingjian Zhang, Jing Jiang, Yuxin Li, Jianchu BMC Med Imaging Research Article BACKGROUND: Intraductal papillary carcinoma (IDPC) is a rare but fatal disease. Preoperative ultrasound diagnosis of IDPC remains challenging and meaningful. The aim of the study was to determine an effective ultrasound model to predict intraductal papillary carcinoma (IDPC) in patients with partially cystic breast lesions on ultrasound. METHODS: We reviewed female patients with breast nodules who underwent biopsy or surgery between 2004 and 2019, and pathological results were used as the reference standard. We finally included 21 IDPC patients with partially cystic lesions on preoperative ultrasound matched to 40 patients with intraductal papilloma. The association of ultrasound features with IDPC was analysed. RESULTS: Posterior echo enhancement (P < 0.001), tumour size (P = 0.002), irregular shape (P = 0.003), wide base (P = 0.003), solid-mainly component (P = 0.013), rich Doppler flow (P < 0.001) and multiple lesions (P = 0.044) were associated with IDPC by univariate analysis. Based on univariate analysis, variables were included in the regression analysis to obtain independent factors. The regression analysis showed that microcalcification, multiple lesions, posterior echo enhancement, wide base of solid components and rich colour Doppler flow were predictors for IDPC (P < 0.001). The collective model of the independent factors (microcalcification, multiple lesions, posterior echo enhancement, wide base of solid components and rich colour Doppler flow) could predict IDPC with an area under the curve (AUC) of 0.99 (95% CI 0.95–1.00). The collective model had a better net benefit demonstrated by the decision curve. CONCLUSION: Ultrasonic features may be an applicable model for predicting IDPC with partially cystic breast lesions on ultrasound and has a better potential to facilitate decision-making preoperatively. BioMed Central 2023-01-06 /pmc/articles/PMC9817258/ /pubmed/36609236 http://dx.doi.org/10.1186/s12880-022-00934-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Gao, Luying
Lai, Xingjian
Zhang, Jing
Jiang, Yuxin
Li, Jianchu
Sonographic prediction of intraductal papillary carcinoma with partially cystic breast lesions
title Sonographic prediction of intraductal papillary carcinoma with partially cystic breast lesions
title_full Sonographic prediction of intraductal papillary carcinoma with partially cystic breast lesions
title_fullStr Sonographic prediction of intraductal papillary carcinoma with partially cystic breast lesions
title_full_unstemmed Sonographic prediction of intraductal papillary carcinoma with partially cystic breast lesions
title_short Sonographic prediction of intraductal papillary carcinoma with partially cystic breast lesions
title_sort sonographic prediction of intraductal papillary carcinoma with partially cystic breast lesions
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9817258/
https://www.ncbi.nlm.nih.gov/pubmed/36609236
http://dx.doi.org/10.1186/s12880-022-00934-y
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