Battaglia Ottavia, Pesapane Filippo, Penco Silvia, Signorelli Giulia, Dominelli Valeria, Nicosia Luca, Bozzini Anna Carla, Rotili Anna, Cassano Enrico
Breast Imaging Division, Radiology Department, IEO European Institute of Oncology IRCCS, Via Giuseppe Ripamonti 435, 20141 Milan, Italy.
J Pers Med. 2025 Apr 2;15(4):142. doi: 10.3390/jpm15040142.
Breast magnetic resonance imaging (MRI) is considered the most effective method for detecting breast cancer due to its high sensitivity. Yet multiple factors limit its widespread use, including high direct and indirect costs, a prolonged acquisition time with consequent patient discomfort, and a lack of trained radiologists. During the last decade, new strategies have been followed to increase the availability of breast MRI, including the omission of non-essential sequences to generate abbreviated MRI protocols (AB-MRIs) aimed at reducing the acquisition time with the potential of improving the patient's experience and accommodating a higher number of MRI examinations per day. An alternative method is ultrafast MRI (UF-MRI), a novel technique that gathers kinetic data within the first minute after contrast injection, offering high temporal resolution. This enables the analysis of early contrast wash-in curves, showing promising outcomes. In this study, we reviewed the role of UF-MRI in breast imaging and detailed how the integration of this new approach with radiomics and mathematical models might further improve diagnostic accuracy and even have a prognostic role, a fundamental characteristic in the modern scenarios of personalized medicine. In addition, possible clinical applications and advantages of UF-MRI will be discussed.
乳腺磁共振成像(MRI)因其高灵敏度而被认为是检测乳腺癌最有效的方法。然而,多种因素限制了其广泛应用,包括高昂的直接和间接成本、采集时间长导致患者不适,以及缺乏训练有素的放射科医生。在过去十年中,人们采取了新的策略来提高乳腺MRI的可及性,包括省略非必要序列以生成缩短的MRI方案(AB-MRI),旨在减少采集时间,有可能改善患者体验并增加每天的MRI检查数量。另一种方法是超快MRI(UF-MRI),这是一种新技术,可在注射造影剂后的第一分钟内收集动力学数据,提供高时间分辨率。这使得能够分析早期造影剂流入曲线,显示出有前景的结果。在本研究中,我们回顾了UF-MRI在乳腺成像中的作用,并详细阐述了这种新方法与放射组学和数学模型的整合如何可能进一步提高诊断准确性,甚至具有预后作用,这是现代个性化医疗场景中的一个基本特征。此外,还将讨论UF-MRI可能的临床应用和优势。