人工智能增强的乳房MRI:在乳腺癌初级治疗反应评估和预测中的应用
Roberto Lo Gullo1, Eric Marcus, Jorge Huayanay
1From the Department of Radiology, Breast Imaging Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.L.G., J.H., S.E.-W., J.T., K.P.); Department of Medical Imaging, Radboud University Medical Center, Nijmegen, the Netherlands (J.T.); AI for Oncology, Netherlands Cancer Institute, Amsterdam, the Netherlands (J.T.); Department of Radiology, National Institute of Neoplastic Diseases, Lima, Peru (J.H.); and Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY (S.T.).
人工智能 (AI) 增强的磁共振成像 (MRI) 在预测患者对乳腺癌初级全身治疗 (PST) 的反应方面表现有前途. 这种方法可以个性化治疗,减少不良影响.
科学领域:
- 在瘤学瘤学.
- 放射学 放射学是一门学科.
- 人工智能的人工智能
背景情况:
- 初级全身疗法 (PST) 是局部先进的,通常是早期乳腺癌的标准.
- 通过成像进行准确的反应评估对于治疗优化和缓和至关重要.
- 目前的定性MRI评估在预测PST反应方面存在局限性.
结论:
- 人工智能增强的MRI具有彻底改变乳腺癌治疗反应评估的巨大潜力.
- 需要进一步的研究和验证,以克服临床实施中的挑战.
- 人工智能融入MRI有望改善患者的治疗结果,提高癌症治疗效率.
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