Department of Radiology, Hubei No. 3 People's Hospital of Jianghan University, Wuhan, 430033, Hubei, China.
J Nanosci Nanotechnol. 2021 Feb 1;21(2):1154-1160. doi: 10.1166/jnn.2021.18704.
Breast cancer has become the first malignant tumor in women. Early detection and early treatment are the key to improve the prognosis of breast cancer patients. The key to the screening and diagnosis of breast cancer lies in the qualitative differential diagnosis of breast nodules. With the rapid development of MRI technology, especially the application of high field strength and ultra-high field strength, the role of breast MRI is increasingly prominent. MRI has the advantages of safety, no ionizing radiation, high resolution of soft tissue, high sensitivity and specificity for the diagnosis of early breast cancer. Multimodal imaging based on reinforcement learning and iron carbon nanoparticles plays an important role in the diagnosis of breast nodules. This paper first discusses the application of iron carbon nanoparticles and breast MRI multimodal imaging technology in tumor treatment, and then studies the application of iron carbon nanoparticles mediated multimodal imaging in the diagnosis of breast nodules through experimental methods. The experimental results show that multimodal imaging has a good effect in the diagnosis of breast nodules, which is helpful for the prevention and treatment of breast nodules.
乳腺癌已成为女性第一大恶性肿瘤，早期发现、早期治疗是提高乳腺癌患者预后的关键，乳腺癌筛查和诊断的关键在于对乳腺结节进行定性鉴别诊断。随着 MRI 技术的飞速发展，特别是高场强和超高场强的应用，乳腺 MRI 的作用日益凸显。MRI 具有安全、无电离辐射、软组织分辨率高、对早期乳腺癌诊断具有较高的灵敏度和特异性等优点。基于强化学习和铁碳纳米粒子的多模态成像在乳腺结节的诊断中发挥着重要作用。本文首先讨论了铁碳纳米粒子和乳腺 MRI 多模态成像技术在肿瘤治疗中的应用，然后通过实验方法研究了铁碳纳米粒子介导的多模态成像在乳腺结节诊断中的应用。实验结果表明，多模态成像在乳腺结节诊断中具有良好的效果，有助于乳腺结节的防治。
