• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

磁共振成像对比增强检查呈非肿块强化表现的乳腺良恶性病变鉴别诊断中的扩散加权成像

DWI in the Differentiation of Malignant and Benign Breast Lesions Presenting with Non-Mass Enhancement on CE-MRI.

作者信息

Perić Iva, Brkljačić Boris, Tadić Tade, Jerković Kristian, Dolić Krešimir, Borić Matija, Ćavar Marija

机构信息

Department of Diagnostic and Interventional Radiology, University Hospital Split, Spinčićeva 1, 21000 Split, Croatia.

Department of Diagnostic and Interventional Radiology, University Hospital "Dubrava", University of Zagreb School of Medicine, Avenija Gojka Šuška 6, 10000 Zagreb, Croatia.

出版信息

Cancers (Basel). 2024 Dec 25;17(1):31. doi: 10.3390/cancers17010031.

DOI:10.3390/cancers17010031
PMID:39796662
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11719006/
Abstract

OBJECTIVES

This study aimed to investigate whether the apparent diffusion coefficient (ADC) maps values of breast lesions presenting as non-mass enhancement (NME) on MRI could predict benign or malignant pathohistological findings.

MATERIALS AND METHODS

This retrospective single-center study included 136 female patients with NME and corresponding ultrasound correlate and a subsequent ultrasound-guided core needle biopsy. The patients were subdivided into benign or malignant subgroups based on pathology reports, which served as the gold standard. Blinded to the pathological results, two radiologists independently measured the ADC values of the depicted NME using punctate, 10 mm and whole tumor regions of interest (ROIs) wherever applicable. The mean of all measurements was also analyzed and compared with the pathologic subdivision.

RESULTS

The sensitivity of whole tumor ROI in detecting benign NME is 91% compared to 74% for 10 mm ROI and 78% for punctate ROI. No significant differences in ADC values were observed when comparing fatty breast tissue and dense breast tissue.

CONCLUSIONS

There were differences in ADC values between benign and malignant findings using all types of measurements, where the whole tumor ROI was the most sensitive.

摘要

目的

本研究旨在探讨磁共振成像(MRI)上表现为非肿块强化(NME)的乳腺病变的表观扩散系数(ADC)图值是否能够预测良性或恶性病理组织学结果。

材料与方法

这项回顾性单中心研究纳入了136例有NME且有相应超声表现并随后接受超声引导下粗针穿刺活检的女性患者。根据作为金标准的病理报告将患者分为良性或恶性亚组。在不知病理结果的情况下,两名放射科医生在适用时分别使用点状、10毫米和整个肿瘤感兴趣区(ROI)独立测量所描绘的NME的ADC值。还分析了所有测量值的平均值并与病理分类进行比较。

结果

整个肿瘤ROI检测良性NME的敏感性为91%,而10毫米ROI为74%,点状ROI为78%。比较脂肪型乳腺组织和致密型乳腺组织时,未观察到ADC值有显著差异。

结论

使用所有类型测量方法时,良性和恶性结果的ADC值存在差异,其中整个肿瘤ROI最为敏感。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6655/11719006/a70fc6dfeadb/cancers-17-00031-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6655/11719006/ba638bfbeb9d/cancers-17-00031-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6655/11719006/67e9bf576919/cancers-17-00031-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6655/11719006/03444789507c/cancers-17-00031-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6655/11719006/a70fc6dfeadb/cancers-17-00031-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6655/11719006/ba638bfbeb9d/cancers-17-00031-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6655/11719006/67e9bf576919/cancers-17-00031-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6655/11719006/03444789507c/cancers-17-00031-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6655/11719006/a70fc6dfeadb/cancers-17-00031-g004.jpg

相似文献

1
DWI in the Differentiation of Malignant and Benign Breast Lesions Presenting with Non-Mass Enhancement on CE-MRI.磁共振成像对比增强检查呈非肿块强化表现的乳腺良恶性病变鉴别诊断中的扩散加权成像
Cancers (Basel). 2024 Dec 25;17(1):31. doi: 10.3390/cancers17010031.
2
Limited role of DWI with apparent diffusion coefficient mapping in breast lesions presenting as non-mass enhancement on dynamic contrast-enhanced MRI.弥散加权成像及其表观扩散系数图在动态对比增强 MRI 呈非肿块样强化的乳腺病变中的作用有限。
Breast Cancer Res. 2019 Dec 4;21(1):136. doi: 10.1186/s13058-019-1208-y.
3
Can whole-tumor apparent diffusion coefficient histogram analysis be helpful to evaluate breast phyllode tumor grades?全肿瘤表观扩散系数直方图分析能否有助于评估乳腺叶状肿瘤分级?
Eur J Radiol. 2019 May;114:25-31. doi: 10.1016/j.ejrad.2019.02.035. Epub 2019 Feb 27.
4
Role of combined clinical-radiomics model based on contrast-enhanced MRI in predicting the malignancy of breast non-mass enhancements without an additional diffusion-weighted imaging sequence.基于对比增强磁共振成像的临床-影像组学联合模型在预测无额外扩散加权成像序列的乳腺非肿块强化灶恶性程度中的作用
Quant Imaging Med Surg. 2023 Sep 1;13(9):5974-5985. doi: 10.21037/qims-22-1199. Epub 2023 Jul 31.
5
Non-mass enhancement breast lesions: MRI findings and associations with malignancy.非肿块强化型乳腺病变:MRI表现及其与恶性肿瘤的关联
Ann Transl Med. 2022 Mar;10(6):357. doi: 10.21037/atm-22-503.
6
Two Different Methods of Region-of-Interest Placement for Differentiation of Benign and Malignant Breast Lesions by Apparent Diffusion Coefficient Value.两种不同的感兴趣区放置方法用于通过表观扩散系数值鉴别乳腺良恶性病变
Asian Pac J Cancer Prev. 2018 Oct 26;19(10):2765-2770. doi: 10.22034/APJCP.2018.19.10.2765.
7
Diffusion weighted imaging for improving the diagnostic performance of screening breast MRI: impact of apparent diffusion coefficient quantitation methods and cutoffs.扩散加权成像用于提高乳腺磁共振成像筛查的诊断性能:表观扩散系数定量方法及临界值的影响
Front Oncol. 2024 Dec 20;14:1437506. doi: 10.3389/fonc.2024.1437506. eCollection 2024.
8
Magnetic resonance imaging features and diagnostic value analysis of non-mass enhancement lesions of the breast.乳腺非肿块强化性病变的磁共振成像特征及诊断价值分析
Quant Imaging Med Surg. 2025 Mar 3;15(3):2457-2467. doi: 10.21037/qims-24-254. Epub 2025 Feb 26.
9
Assessment of the contribution of the ADC value to the Kaiser score in the differential diagnosis of breast lesions with non-mass enhancement morphology on MRI.评估磁共振成像(MRI)上非肿块强化形态的乳腺病变鉴别诊断中,表观扩散系数(ADC)值对凯泽评分的贡献。
Eur J Radiol. 2024 Dec;181:111713. doi: 10.1016/j.ejrad.2024.111713. Epub 2024 Sep 1.
10
Discrimination of benign from malignant breast lesions in dense breasts with model-based analysis of regions-of-interest using directional diffusion-weighted images.使用基于模型的感兴趣区域分析和方向扩散加权图像鉴别致密型乳腺中良性与恶性乳腺病变。
BMC Med Imaging. 2020 Jun 9;20(1):61. doi: 10.1186/s12880-020-00458-3.

本文引用的文献

1
Image quality of DWI at breast MRI depends on the amount of fibroglandular tissue: implications for unenhanced screening.乳腺 MRI 的 DWI 图像质量取决于纤维腺体组织的含量:对未增强筛查的影响。
Eur Radiol. 2024 Jul;34(7):4730-4737. doi: 10.1007/s00330-023-10321-y. Epub 2023 Nov 27.
2
Update on DWI for Breast Cancer Diagnosis and Treatment Monitoring.乳腺癌诊断和治疗监测的 DWI 更新。
AJR Am J Roentgenol. 2024 Jan;222(1):e2329933. doi: 10.2214/AJR.23.29933. Epub 2023 Oct 18.
3
Contrasts Between Diffusion-Weighted Imaging and Dynamic Contrast-Enhanced MR in Diagnosing Malignancies of Breast Nonmass Enhancement Lesions Based on Morphologic Assessment.
基于形态学评估的扩散加权成像与动态对比增强磁共振在诊断乳腺非肿块样强化病变恶性肿瘤中的对比。
J Magn Reson Imaging. 2023 Sep;58(3):963-974. doi: 10.1002/jmri.28600. Epub 2023 Feb 3.
4
Estimation of colon cancer grade and metastatic lymph node involvement using DWI/ADC sequences.使用扩散加权成像/表观扩散系数序列评估结肠癌分级及转移性淋巴结受累情况。
Acta Radiol. 2023 Apr;64(4):1341-1346. doi: 10.1177/02841851221130008. Epub 2022 Oct 5.
5
Limited value of multiparametric MRI with dynamic contrast-enhanced and diffusion-weighted imaging in non-mass enhancing breast tumors.非肿块强化型乳腺肿瘤中动态对比增强磁共振成像和弥散加权成像的多参数 MRI 的应用价值有限。
Eur J Radiol. 2022 Nov;156:110523. doi: 10.1016/j.ejrad.2022.110523. Epub 2022 Sep 15.
6
Non-mass enhancement breast lesions: MRI findings and associations with malignancy.非肿块强化型乳腺病变:MRI表现及其与恶性肿瘤的关联
Ann Transl Med. 2022 Mar;10(6):357. doi: 10.21037/atm-22-503.
7
Differentiation of Benign and Malignant Breast Lesions Using ADC Values and ADC Ratio in Breast MRI.乳腺MRI中利用表观扩散系数(ADC)值和ADC比率鉴别乳腺良恶性病变
Diagnostics (Basel). 2022 Jan 27;12(2):332. doi: 10.3390/diagnostics12020332.
8
Four Different Apparent Diffusion Coefficient Measurement Methods in Breast Masses.四种不同的表观扩散系数测量方法在乳腺肿块中的应用。
J Coll Physicians Surg Pak. 2021 Sep;31(9):1024-1029. doi: 10.29271/jcpsp.2021.09.1024.
9
Diagnostic performance of breast tumor tissue selection in diffusion weighted imaging: A systematic review and meta-analysis.扩散加权成像中乳腺肿瘤组织选择的诊断性能:系统评价和荟萃分析。
PLoS One. 2020 May 6;15(5):e0232856. doi: 10.1371/journal.pone.0232856. eCollection 2020.
10
Limited role of DWI with apparent diffusion coefficient mapping in breast lesions presenting as non-mass enhancement on dynamic contrast-enhanced MRI.弥散加权成像及其表观扩散系数图在动态对比增强 MRI 呈非肿块样强化的乳腺病变中的作用有限。
Breast Cancer Res. 2019 Dec 4;21(1):136. doi: 10.1186/s13058-019-1208-y.