Using Ultrasound-Based Multilayer Perceptron to Differentiate Early Breast Mucinous Cancer and its Subtypes From Fibroadenoma

ObjectivesMucinous breast cancer (MBC), particularly pure MBC (pMBC), often tend to be confused with fibroadenoma (FA) due to their similar images and firm masses, so some MBC cases are misdiagnosed to be FA, which may cause poor prognosis. We analyzed the ultrasonic features and aimed to identify t...

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Autores principales:	Ting Liang, Junhui Shen, Shumei Zhang, Shuzhen Cong, Juanjuan Liu, Shufang Pei, Shiyao Shang, Chunwang Huang
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	ultrasound mucinous breast carcinoma fibroadenoma multilayer perceptron machine learning Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
Acceso en línea:	https://doaj.org/article/58e5ccd8591541d29cc2ee6208976396
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spelling	oai:doaj.org-article:58e5ccd8591541d29cc2ee62089763962021-12-01T21:21:23ZUsing Ultrasound-Based Multilayer Perceptron to Differentiate Early Breast Mucinous Cancer and its Subtypes From Fibroadenoma2234-943X10.3389/fonc.2021.724656https://doaj.org/article/58e5ccd8591541d29cc2ee62089763962021-12-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fonc.2021.724656/fullhttps://doaj.org/toc/2234-943XObjectivesMucinous breast cancer (MBC), particularly pure MBC (pMBC), often tend to be confused with fibroadenoma (FA) due to their similar images and firm masses, so some MBC cases are misdiagnosed to be FA, which may cause poor prognosis. We analyzed the ultrasonic features and aimed to identify the ability of multilayer perceptron (MLP) to classify early MBC and its subtypes and FA.Materials and MethodsThe study consisted of 193 patients diagnosed with pMBC, mMBC, or FA. The area under curve (AUC) was calculated to assess the effectiveness of age and 10 ultrasound features in differentiating MBC from FA. We used the pairwise comparison to examine the differences among MBC subtypes (pure and mixed types) and FA. We utilized the MLP to differentiate MBC and its subtypes from FA.ResultsThe nine features with AUCs over 0.5 were as follows: age, echo pattern, shape, orientation, margin, echo rim, vascularity distribution, vascularity grade, and tumor size. In subtype analysis, the significant differences were obtained in 10 variables (p-value range, 0.000–0.037) among pMBC, mMBC, and FA, except posterior feature. Through MLP, the AUCs of predicting MBC and FA were both 0.919; the AUCs of predicting pMBC, mMBC, and FA were 0.875, 0.767, and 0.927, respectively.ConclusionOur study found that the MLP models based on ultrasonic characteristics and age can well distinguish MBC and its subtypes from FA. It may provide a critical insight into MBC preoperative clinical management.Ting LiangTing LiangJunhui ShenShumei ZhangShuzhen CongJuanjuan LiuShufang PeiShiyao ShangChunwang HuangFrontiers Media S.A.articleultrasoundmucinous breast carcinomafibroadenomamultilayer perceptronmachine learningNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENFrontiers in Oncology, Vol 11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	ultrasound mucinous breast carcinoma fibroadenoma multilayer perceptron machine learning Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
spellingShingle	ultrasound mucinous breast carcinoma fibroadenoma multilayer perceptron machine learning Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Ting Liang Ting Liang Junhui Shen Shumei Zhang Shuzhen Cong Juanjuan Liu Shufang Pei Shiyao Shang Chunwang Huang Using Ultrasound-Based Multilayer Perceptron to Differentiate Early Breast Mucinous Cancer and its Subtypes From Fibroadenoma
description	ObjectivesMucinous breast cancer (MBC), particularly pure MBC (pMBC), often tend to be confused with fibroadenoma (FA) due to their similar images and firm masses, so some MBC cases are misdiagnosed to be FA, which may cause poor prognosis. We analyzed the ultrasonic features and aimed to identify the ability of multilayer perceptron (MLP) to classify early MBC and its subtypes and FA.Materials and MethodsThe study consisted of 193 patients diagnosed with pMBC, mMBC, or FA. The area under curve (AUC) was calculated to assess the effectiveness of age and 10 ultrasound features in differentiating MBC from FA. We used the pairwise comparison to examine the differences among MBC subtypes (pure and mixed types) and FA. We utilized the MLP to differentiate MBC and its subtypes from FA.ResultsThe nine features with AUCs over 0.5 were as follows: age, echo pattern, shape, orientation, margin, echo rim, vascularity distribution, vascularity grade, and tumor size. In subtype analysis, the significant differences were obtained in 10 variables (p-value range, 0.000–0.037) among pMBC, mMBC, and FA, except posterior feature. Through MLP, the AUCs of predicting MBC and FA were both 0.919; the AUCs of predicting pMBC, mMBC, and FA were 0.875, 0.767, and 0.927, respectively.ConclusionOur study found that the MLP models based on ultrasonic characteristics and age can well distinguish MBC and its subtypes from FA. It may provide a critical insight into MBC preoperative clinical management.
format	article
author	Ting Liang Ting Liang Junhui Shen Shumei Zhang Shuzhen Cong Juanjuan Liu Shufang Pei Shiyao Shang Chunwang Huang
author_facet	Ting Liang Ting Liang Junhui Shen Shumei Zhang Shuzhen Cong Juanjuan Liu Shufang Pei Shiyao Shang Chunwang Huang
author_sort	Ting Liang
title	Using Ultrasound-Based Multilayer Perceptron to Differentiate Early Breast Mucinous Cancer and its Subtypes From Fibroadenoma
title_short	Using Ultrasound-Based Multilayer Perceptron to Differentiate Early Breast Mucinous Cancer and its Subtypes From Fibroadenoma
title_full	Using Ultrasound-Based Multilayer Perceptron to Differentiate Early Breast Mucinous Cancer and its Subtypes From Fibroadenoma
title_fullStr	Using Ultrasound-Based Multilayer Perceptron to Differentiate Early Breast Mucinous Cancer and its Subtypes From Fibroadenoma
title_full_unstemmed	Using Ultrasound-Based Multilayer Perceptron to Differentiate Early Breast Mucinous Cancer and its Subtypes From Fibroadenoma
title_sort	using ultrasound-based multilayer perceptron to differentiate early breast mucinous cancer and its subtypes from fibroadenoma
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/58e5ccd8591541d29cc2ee6208976396
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Using Ultrasound-Based Multilayer Perceptron to Differentiate Early Breast Mucinous Cancer and its Subtypes From Fibroadenoma

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