Value of conventional magnetic resonance imaging texture analysis in the differential diagnosis of benign and borderline/malignant phyllodes tumors of the breast

Bibliographic Details
Title: Value of conventional magnetic resonance imaging texture analysis in the differential diagnosis of benign and borderline/malignant phyllodes tumors of the breast
Authors: Xiaoguang Li, Nianping Jiang, Chunlai Zhang, Xiangguo Luo, Peng Zhong, Jingqin Fang
Source: Cancer Imaging, Vol 21, Iss 1, Pp 1-10 (2021)
Publisher Information: BMC, 2021.
Publication Year: 2021
Collection: LCC:Medical physics. Medical radiology. Nuclear medicine
LCC:Neoplasms. Tumors. Oncology. Including cancer and carcinogens
Subject Terms: Phyllodes tumors, Magnetic resonance imaging, Texture analysis, Differential diagnosis, Medical physics. Medical radiology. Nuclear medicine, R895-920, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
More Details: Abstract Background The purpose of this study was to determine the potential value of magnetic resonance imaging (MRI) texture analysis (TA) in differentiating between benign and borderline/malignant phyllodes tumors of the breast. Methods The preoperative MRI data of 25 patients with benign phyllodes tumors (BPTs) and 19 patients with borderline/malignant phyllodes tumors (BMPTs) were retrospectively analyzed. A gray-level histogram and gray-level cooccurrence matrix (GLCM) were used for TA with fat-suppressed T2-weighted imaging (FS-T2WI), diffusion-weighted imaging (DWI), apparent diffusion coefficient (ADC) images, and 2- and 7-min postcontrast T1W images on dynamic contrast-enhanced MRI (DCE-T1WI2min and DCE-T1WI7min) between BPTs and BMPTs. Independent sample t-test and Mann-Whitney U test were performed for intergroup comparison. A regression model was established by using binary logistic regression analysis, and receiver operating characteristic (ROC) curve analysis was carried out to evaluate diagnostic efficiency. Results For ADC images, the texture parameters angular second moment (ASM), correlation, contrast, entropy and the minimum gray values of ADC images (ADCMinimum) showed significant differences between the BPT group and BMPT group (all p
Document Type: article
File Description: electronic resource
Language: English
ISSN: 1470-7330
Relation: https://doaj.org/toc/1470-7330
DOI: 10.1186/s40644-021-00398-3
Access URL: https://doaj.org/article/d2e32720a44446ceadd6d33591931c33
Accession Number: edsdoj.2e32720a44446ceadd6d33591931c33
Database: Directory of Open Access Journals
More Details
ISSN:14707330
DOI:10.1186/s40644-021-00398-3
Published in:Cancer Imaging
Language:English