The Potential Value of Texture Analysis Based on Dynamic Contrast-Enhanced MR Images in the Grading of Breast Phyllode Tumors

PurposeTo explore the value of texture analysis (TA) based on dynamic contrast-enhanced MR (DCE-MR) images in the differential diagnosis of benign phyllode tumors (BPTs) and borderline/malignant phyllode tumors (BMPTs).MethodsA total of 47 patients with histologically proven phyllode tumors (PTs) fr...

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Autores principales:	Xiaoguang Li, Hong Guo, Chao Cong, Huan Liu, Chunlai Zhang, Xiangguo Luo, Peng Zhong, Hang Shi, Jingqin Fang, Yi Wang
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	breast phyllodes tumors magnetic resonance imaging texture analysis differential diagnosis Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
Acceso en línea:	https://doaj.org/article/585087a1813e41609448225ecc85ccb0
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spelling	oai:doaj.org-article:585087a1813e41609448225ecc85ccb02021-11-10T08:04:45ZThe Potential Value of Texture Analysis Based on Dynamic Contrast-Enhanced MR Images in the Grading of Breast Phyllode Tumors2234-943X10.3389/fonc.2021.745242https://doaj.org/article/585087a1813e41609448225ecc85ccb02021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fonc.2021.745242/fullhttps://doaj.org/toc/2234-943XPurposeTo explore the value of texture analysis (TA) based on dynamic contrast-enhanced MR (DCE-MR) images in the differential diagnosis of benign phyllode tumors (BPTs) and borderline/malignant phyllode tumors (BMPTs).MethodsA total of 47 patients with histologically proven phyllode tumors (PTs) from November 2012 to March 2020, including 26 benign BPTs and 21 BMPTs, were enrolled in this retrospective study. The whole-tumor texture features based on DCE-MR images were calculated, and conventional imaging findings were evaluated according to the Breast Imaging Reporting and Data System (BI-RADS). The differences in the texture features and imaging findings between BPTs and BMPTs were compared; the variates with statistical significance were entered into logistic regression analysis. The receiver operating characteristic (ROC) curve was used to assess the diagnostic performance of models from image-based analysis, TA, and the combination of these two approaches.ResultsRegarding texture features, three features of the histogram, two features of the gray-level co-occurrence matrix (GLCM), and three features of the run-length matrix (RLM) showed significant differences between the two groups (all p < 0.05). Regarding imaging findings, however, only cystic wall morphology showed significant differences between the two groups (p = 0.014). The areas under the ROC curve (AUCs) of image-based analysis, TA, and the combination of these two approaches were 0.687 (95% CI, 0.518–0.825, p = 0.014), 0.886 (95% CI, 0.760–0.960, p < 0.0001), and 0.894 (95% CI, 0.754–0.970, p < 0.0001), respectively.ConclusionTA based on DCE-MR images has potential in differentiating BPTs and BMPTs.Xiaoguang LiHong GuoChao CongHuan LiuChunlai ZhangXiangguo LuoPeng ZhongHang ShiJingqin FangYi WangFrontiers Media S.A.articlebreastphyllodes tumorsmagnetic resonance imagingtexture analysisdifferential diagnosisNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENFrontiers in Oncology, Vol 11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	breast phyllodes tumors magnetic resonance imaging texture analysis differential diagnosis Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
spellingShingle	breast phyllodes tumors magnetic resonance imaging texture analysis differential diagnosis Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Xiaoguang Li Hong Guo Chao Cong Huan Liu Chunlai Zhang Xiangguo Luo Peng Zhong Hang Shi Jingqin Fang Yi Wang The Potential Value of Texture Analysis Based on Dynamic Contrast-Enhanced MR Images in the Grading of Breast Phyllode Tumors
description	PurposeTo explore the value of texture analysis (TA) based on dynamic contrast-enhanced MR (DCE-MR) images in the differential diagnosis of benign phyllode tumors (BPTs) and borderline/malignant phyllode tumors (BMPTs).MethodsA total of 47 patients with histologically proven phyllode tumors (PTs) from November 2012 to March 2020, including 26 benign BPTs and 21 BMPTs, were enrolled in this retrospective study. The whole-tumor texture features based on DCE-MR images were calculated, and conventional imaging findings were evaluated according to the Breast Imaging Reporting and Data System (BI-RADS). The differences in the texture features and imaging findings between BPTs and BMPTs were compared; the variates with statistical significance were entered into logistic regression analysis. The receiver operating characteristic (ROC) curve was used to assess the diagnostic performance of models from image-based analysis, TA, and the combination of these two approaches.ResultsRegarding texture features, three features of the histogram, two features of the gray-level co-occurrence matrix (GLCM), and three features of the run-length matrix (RLM) showed significant differences between the two groups (all p < 0.05). Regarding imaging findings, however, only cystic wall morphology showed significant differences between the two groups (p = 0.014). The areas under the ROC curve (AUCs) of image-based analysis, TA, and the combination of these two approaches were 0.687 (95% CI, 0.518–0.825, p = 0.014), 0.886 (95% CI, 0.760–0.960, p < 0.0001), and 0.894 (95% CI, 0.754–0.970, p < 0.0001), respectively.ConclusionTA based on DCE-MR images has potential in differentiating BPTs and BMPTs.
format	article
author	Xiaoguang Li Hong Guo Chao Cong Huan Liu Chunlai Zhang Xiangguo Luo Peng Zhong Hang Shi Jingqin Fang Yi Wang
author_facet	Xiaoguang Li Hong Guo Chao Cong Huan Liu Chunlai Zhang Xiangguo Luo Peng Zhong Hang Shi Jingqin Fang Yi Wang
author_sort	Xiaoguang Li
title	The Potential Value of Texture Analysis Based on Dynamic Contrast-Enhanced MR Images in the Grading of Breast Phyllode Tumors
title_short	The Potential Value of Texture Analysis Based on Dynamic Contrast-Enhanced MR Images in the Grading of Breast Phyllode Tumors
title_full	The Potential Value of Texture Analysis Based on Dynamic Contrast-Enhanced MR Images in the Grading of Breast Phyllode Tumors
title_fullStr	The Potential Value of Texture Analysis Based on Dynamic Contrast-Enhanced MR Images in the Grading of Breast Phyllode Tumors
title_full_unstemmed	The Potential Value of Texture Analysis Based on Dynamic Contrast-Enhanced MR Images in the Grading of Breast Phyllode Tumors
title_sort	potential value of texture analysis based on dynamic contrast-enhanced mr images in the grading of breast phyllode tumors
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/585087a1813e41609448225ecc85ccb0
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The Potential Value of Texture Analysis Based on Dynamic Contrast-Enhanced MR Images in the Grading of Breast Phyllode Tumors

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