在结直肠癌诊断和预后方面,病理学的最新进展
Yihan Wu1,2, Yi Li2,3, Xiaomin Xiong2,3
1School of Medicine, Chongqing University, Chongqing, China.
Frontiers in oncology
|August 4, 2023
概括
人工智能 (AI) 算法分析病理图像 (病理学) 改善结直肠癌 (CRC) 诊断和预后预测. 这些人工智能工具有助于风险分层和治疗决策,以获得更好的患者结果.
科学领域:
- 在瘤学瘤学.
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 结肠直肠癌 (CRC) 是全球癌症发病率和死亡率的主要原因.
- 准确的风险分层和预后预测对于优化CRC治疗策略至关重要.
- 人工智能 (AI) 在整合放射学,病理学和基因组数据以改善癌症分析方面表现有前途.
研究的目的:
- 审查基于人工智能的算法的最新进展,利用结直肠癌的病理图像 (病理图像).
- 要突出病理学在诊断良性和恶性病变中的应用.
- 探索病理学在预测微卫星不稳定性,治疗反应和CRC患者预后中的使用.
主要方法:
- 关于人工智能和结直肠癌研究中的病理学现有文献的综述.
- 专注于算法分析来自病态图像的特征.
- 病理数据与基因组和放射信息的整合.
主要成果:
- 病理症可以揭示视下病理特征.
- 人工智能驱动的病态分析显示了增强分层和预测治疗反应的潜力.
- 应用范围包括诊断,不稳定性预测和CRC的预后评估.
结论:
- 由人工智能驱动的Pathomics为改善结直肠癌的诊断准确性和预后预测提供了一个有前途的途径.
- 这些基于AI的方法可以指导临床决策,可能导致CRC患者更好的治疗结果.
- 进一步的病理学研究对于推进瘤学个性化医学的发展至关重要.
相关概念视频
Tumor Progression
6.4K
Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
6.4K
Cancer Survival Analysis
384
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
384


