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超快速动态对比增强磁共振成像在乳腺病变诊断中的研究进展
Research progress of ultrafast dynamic contrast-enhanced magnetic resonance imaging in the diagnosis of breast cancer
【摘要】 超快速动态对比增强磁共振成像(UF-DCE MRI)技术相较于传统动态对比增强磁共振成像(DCE-MRI),在保持合理空间分辨率的前提下,拥有更高的时间分辨率,并可在对比剂注射后的超早期时段捕获病灶内部的血流动力学信息。鉴于这些优势,UF-DCE MRI技术在近些年被广泛应用于临床,并且在乳腺病变的良恶性区分、预后预测以及乳腺癌亚型鉴别等方面具有突出表现。UF-DCE MRI所提供的动力学参数,如增强时间(time to enhancement, TTE)、最大斜率(maximum slope, MS)以及推注到达时间(bolus arrival time, BAT)等不仅能定量反映乳腺病变的病理特征,而且具有较高的可重复性。此外,相比传统DCE-MRI,UF-DCE MRI能在乳腺背景实质强化(background parenchymal enhancement, BPE)影响较大的情况下,更有效地识别富血供病灶。因此,本文全面、系统地阐述了UF-DCE MRI在乳腺病变诊断中的应用和研究进展,以及该技术的局限性和未来发展趋势。
【Abstract】 Compared with traditional dynamic contrast-enhanced magnetic resonance imaging(DCE-MRI),ultrafast dynamic contrast-enhanced magnetic resonance imaging(UF-DCE MRI)has higher temporal resolution while maintaining reasonable spatial resolution, and can capture the hemodynamic information inside the lesion in the ultra-early period after contrast agent injection.In view of these advantages, UF-DCE MRI technology has been widely used in clinical practice in recent years, and has outstanding performance in the differentiation of benign and malignant breast lesions, prognosis prediction and breast cancer subtype differentiation.Dynamic parameters provided by UF-DCE MRI,such as time to enhancement(TTE), maximum slope(MS) and bolus arrival time(BAT)can not only quantitatively reflect the pathological characteristics of breast lesions,but also have high reproducibility. In addition,compared with conventional DCE-MRI,UF-DCE MRI can more effectively identify rich blood supply lesions when background parenchymal enhancement(BPE) is highly affected. Therefore,this article comprehensively and systematically describes the application and research progress of UF-DCE MRI in the diagnosis of breast lesions,as well as the limitations and future development trends of this technology.
【Key words】 magnetic resonance imaging; benign and malignant breast lesions; breast cancer; ultrafast dynamic contrast-enhanced magnetic resonance imaging;
- 【文献出处】 现代肿瘤医学 ,Journal of Modern Oncology , 编辑部邮箱 ,2024年04期
- 【分类号】R737.9;R445.2
- 【下载频次】40