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MR 成像乳腺的肿块、非肿块和强化灶的多样性病理学和动力学。

The diverse pathology and kinetics of mass, nonmass, and focus enhancement on MR imaging of the breast.

机构信息

Department of Radiology, The University of Chicago, Chicago, Illinois 60637, USA.

出版信息

J Magn Reson Imaging. 2011 Jun;33(6):1382-9. doi: 10.1002/jmri.22567.

DOI:10.1002/jmri.22567
PMID:21591007
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3098464/
Abstract

PURPOSE

To compare the pathology and kinetic characteristics of breast lesions with focus-, mass-, and nonmass-like enhancement.

MATERIALS AND METHODS

A total of 852 MRI detected breast lesions in 697 patients were selected for an IRB approved review. Patients underwent dynamic contrast enhanced MRI using one pre- and three to six postcontrast T(1)-weighted images. The "type" of enhancement was classified as mass, nonmass, or focus, and kinetic curves quantified by the initial enhancement percentage (E(1)), time to peak enhancement (T(peak)), and signal enhancement ratio (SER). These kinetic parameters were compared between malignant and benign lesions within each morphologic type.

RESULTS

A total of 552 lesions were classified as mass (396 malignant, 156 benign), 261 as nonmass (212 malignant, 49 benign), and 39 as focus (9 malignant, 30 benign). The most common pathology of malignant/benign lesions by morphology: for mass, invasive ductal carcinoma/fibroadenoma; for nonmass, ductal carcinoma in situ (DCIS)/fibrocystic change(FCC); for focus, DCIS/FCC. Benign mass lesions exhibited significantly lower E(1), longer T(peak), and lower SER compared with malignant mass lesions (P < 0.0001). Benign nonmass lesions exhibited only a lower SER compared with malignant nonmass lesions (P < 0.01).

CONCLUSION

By considering the diverse pathology and kinetic characteristics of different lesion morphologies, diagnostic accuracy may be improved.

摘要

目的

比较具有局灶性、团块性及非团块性强化特征的乳腺病变的病理学和动力学特征。

材料与方法

共选取 697 例患者的 852 个 MRI 检出的乳腺病变进行了经 IRB 批准的回顾性分析。所有患者均接受了动态对比增强 MRI 检查,包括 1 次平扫及 3 到 6 次增强 T1WI。增强类型分为团块、非团块及局灶性,并通过初始强化百分比(E1)、达峰时间(Tpeak)和信号强化比(SER)来量化动力学曲线。在每种形态类型中,比较了恶性与良性病变之间的这些动力学参数。

结果

共 552 个病变被分为团块(396 个恶性,156 个良性)、261 个非团块(212 个恶性,49 个良性)和 39 个局灶性病变(9 个恶性,30 个良性)。按形态学分类,恶性/良性病变最常见的病理学类型为:团块,浸润性导管癌/纤维腺瘤;非团块,导管原位癌(DCIS)/纤维囊性变(FCC);局灶性,DCIS/FCC。良性团块病变的 E1、Tpeak 均显著低于恶性团块病变,SER 也显著低于恶性团块病变(P<0.0001)。良性非团块病变的 SER 仅显著低于恶性非团块病变(P<0.01)。

结论

考虑到不同病变形态的不同病理学和动力学特征,诊断准确性可能会提高。

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Phys Med Biol. 2010 Oct 7;55(19):N473-85. doi: 10.1088/0031-9155/55/19/N02. Epub 2010 Sep 21.
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The BI-RADS breast magnetic resonance imaging lexicon.乳腺影像报告和数据系统(BI-RADS)乳腺磁共振成像术语词典
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False-positive findings at contrast-enhanced breast MRI: a BI-RADS descriptor study.
病例报告:使用对比增强乳腺摄影术说明佩吉特病中的相关恶性肿瘤。
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Can structured integration of BI-RADS criteria by a clinical decision rule reduce the number of unnecessary biopsies in BI-RADS 4 lesions? A systematic review and meta-analysis.临床决策规则对BI-RADS标准进行结构化整合能否减少BI-RADS 4类病变中不必要的活检数量?一项系统评价与Meta分析。
Eur Radiol. 2025 Mar;35(3):1504-1513. doi: 10.1007/s00330-024-11274-6. Epub 2024 Dec 18.
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Selection of diagnostic features on breast MRI to differentiate between malignant and benign lesions using computer-aided diagnosis: differences in lesions presenting as mass and non-mass-like enhancement.基于计算机辅助诊断的乳腺 MRI 诊断特征选择:以肿块样强化和非肿块样强化为表现的病变之间的差异,以鉴别良恶性病变。
Eur Radiol. 2010 Apr;20(4):771-81. doi: 10.1007/s00330-009-1616-y. Epub 2009 Sep 30.
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