影像图像模式和诊断,分期和肺癌管理的建议
Nivedita Chakrabarty1, Abhishek Mahajan2,3, Nitin Shetty4
1Department of Radiodiagnosis, Tata Memorial Centre, Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Homi Bhabha National Institute (HBNI), Parel, Mumbai, Maharashtra 400 012, India.
BJR open
|June 9, 2025
概括
本综述详细介绍了肺癌成像模式,重点关注突变和对比度增强的CT扫描. 它涵盖了各种类型的肺癌的查,诊断,分期和治疗指南.
科学领域:
- 在瘤学瘤学.
- 放射学 放射学是指放射学
- 医疗成像医学成像
背景情况:
- 肺癌是全球主要的恶性瘤.
- 针对肺癌突变的向疗法正在取得进展.
- 准确的成像对于诊断和管理至关重要.
研究的目的:
- 为了将肺癌突变与对比增强CT图像检测结果相关联.
- 审查目前肺癌查,诊断,分期和管理的指导方针.
- 讨论干预性放射学和人工智能在肺癌护理中的作用.
主要方法:
- 对肺癌突变的成像模式的全面审查.
- 分析国家综合癌症网络 (NCCN),欧洲医学瘤学会 (ESMO) 和美国临床瘤学会 (ASCO) 的指导方针.
- 包括第九版瘤结节转移 (TNM) 阶段和治疗反应评估.
主要成果:
- 详细讨论各种肺癌突变的成像相关性.
- 既定和新兴的肺癌管理策略的全面概述.
- 探索干预性放射技术和人工智能应用.
结论:
- 成像在识别肺癌突变和指导治疗方面发挥着至关重要的作用.
- 遵守最新的指导方针可确保最佳的患者管理.
- 干预性放射学和人工智能在提高肺癌护理方面显示出前景.
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