Evidence map›Paper›PMID 33712070›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2021

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

Xiaoguang Li, Nianping Jiang, Chunlai Zhang, Xiangguo Luo, Peng Zhong, Jingqin Fang

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Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

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9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xiaoguang LiDepartment of Radiology, Daping Hospital, Army Medical University, Chongqing, 400042, China.
Nianping JiangDepartment of Radiology, Daping Hospital, Army Medical University, Chongqing, 400042, China.
Chunlai ZhangDepartment of Radiology, Daping Hospital, Army Medical University, Chongqing, 400042, China.
Xiangguo LuoDepartment of Radiology, Daping Hospital, Army Medical University, Chongqing, 400042, China.
Peng ZhongDepartment of Pathology, Daping Hospital, Army Medical University, Chongqing, 400042, China.
Jingqin FangDepartment of Radiology, Daping Hospital, Army Medical University, Chongqing, 400042, China. jingqin0405@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

methodsThe 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-T1WI

resultsFor ADC images, the texture parameters angular second moment (ASM), correlation, contrast, entropy and the minimum gray values of ADC images (ADC

conclusionTexture analysis could be helpful in improving the diagnostic efficacy of conventional MR images in differentiating BPTs and BMPTs.

Indexed as

AdultAgedBreast NeoplasmsDiagnosis, DifferentialFemaleHumansMagnetic Resonance ImagingMiddle AgedPhyllodes TumorRetrospective StudiesDifferential diagnosisMagnetic resonance imagingPhyllodes tumorsTexture analysis

Identifiers

PMID33712070
PMCPMC7953576

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.