消化道早癌筛查技术的革新与临床应用
Innovation and Clinical Application of Early Gastrointestinal Cancer Screening Technology
DOI: 10.12677/acm.2026.1651868, PDF,   
作者: 王海鑫:延安大学医学院,陕西 延安;古巧燕*:延安大学附属医院消化内科,陕西 延安
关键词: 消化道早癌筛查技术人工智能液体活检新型光学成像Early Gastrointestinal Cancer Screening Technology Artificial Intelligence Liquid Biopsy New Optical Imaging
摘要: 消化道癌症是全球重大公共卫生问题,发病与死亡病例分别占全球癌症的26%与35%,疾病负担沉重。早期诊断是改善预后的核心,早期患者五年生存率可超90%,晚期则骤降至30%以下,因此通过筛查实现早发现、早干预是降低死亡率的关键。但不同消化道癌种的筛查发展极不均衡:结直肠癌已建立全球公认的“非侵入性初筛 + 内镜精查”分级筛查体系,而胃癌筛查全球共识度低、地区差异显著,仅东亚高发病率国家开展区域性筛查,多数国家尚未形成标准化全民筛查方案。当前筛查体系仍面临瓶颈,现有技术无法同时满足高准确性、高可及性与低成本的核心需求。本文系统梳理了消化道早癌筛查技术从传统到革新的演变,评析各类技术的原理、临床证据与应用价值,重点阐述人工智能、液体活检、新型光学成像三大革新技术的进展,并结合结直肠癌与胃癌筛查体系的本质差异,探讨新技术针对性嵌入与优化现有筛查路径的差异化策略,总结挑战与未来方向,为优化筛查策略提供参考。
Abstract: Gastrointestinal cancer is a major global public health problem, with its incidence and death cases accounting for 26% and 35% of global cancers respectively, with a heavy disease burden. Early diagnosis is the core to improve patients’ prognosis: the 5-year survival rate of early-stage patients can exceed 90%, while that of advanced-stage patients drops sharply to less than 30%. Therefore, early detection and intervention through screening is the key strategy to reduce mortality. However, the development of screening strategies varies significantly among different gastrointestinal cancers: colorectal cancer has established a globally recognized hierarchical screening system of “non-invasive initial screening + endoscopic definitive examination”, while gastric cancer screening has low global consensus and significant regional disparities. Only high-incidence countries in East Asia carry out regional screening, and most countries have not yet formed a standardized national screening program. However, the current screening system faces many bottlenecks, and existing technologies cannot meet the core requirements of high accuracy, high accessibility and low cost. This paper systematically reviews the evolution of early gastrointestinal cancer screening technologies, evaluates the principles, clinical evidence and application value of various technologies, focuses on the progress of three core innovative technologies: artificial intelligence, liquid biopsy and new optical imaging, and discusses the differentiated strategies for targeted integration and optimization of existing screening pathways by combining the essential differences between colorectal cancer and gastric cancer screening systems, and summarizes challenges and future directions, to provide academic reference for optimizing screening strategies.
文章引用:王海鑫, 古巧燕. 消化道早癌筛查技术的革新与临床应用[J]. 临床医学进展, 2026, 16(5): 738-744. https://doi.org/10.12677/acm.2026.1651868

参考文献

[1] Kuntz, S., Krieghoff-Henning, E., Kather, J.N., Jutzi, T., Höhn, J., Kiehl, L., et al. (2021) Gastrointestinal Cancer Classification and Prognostication from Histology Using Deep Learning: Systematic Review. European Journal of Cancer, 155, 200-215. [Google Scholar] [CrossRef] [PubMed]
[2] Zhou, J., Wu, H., Fan, C., Chen, S. and Liu, A. (2020) Comparison of the Diagnostic Efficacy of Blue Laser Imaging with Narrow Band Imaging for Gastric Cancer and Precancerous Lesions: A Meta-Analysis. Revista Española de Enfermedades Digestivas, 112, 649-658. [Google Scholar] [CrossRef] [PubMed]
[3] 许恒敏, 李哲轩, 张阳, 等. 胃癌早期诊断相关生物标志物研究进展[J]. 中国临床医生杂志, 2021, 49(11): 1266-1270.
[4] Katsoula, A., Paschos, P., Haidich, A., Tsapas, A. and Giouleme, O. (2017) Diagnostic Accuracy of Fecal Immunochemical Test in Patients at Increased Risk for Colorectal Cancer. JAMA Internal Medicine, 177, 1110-1118. [Google Scholar] [CrossRef] [PubMed]
[5] Wang, L., Liu, Y., Zhang, D., Xiong, X., Hao, T., Zhong, L., et al. (2022) Diagnostic Accuracy of DNA-Based SDC2 Methylation Test in Colorectal Cancer Screening: A Meta-Analysis. BMC Gastroenterology, 22, Article No. 314. [Google Scholar] [CrossRef] [PubMed]
[6] Petit, J., Carroll, G., Gould, T., Pockney, P., Dun, M. and Scott, R.J. (2019) Cell-Free DNA as a Diagnostic Blood-Based Biomarker for Colorectal Cancer: A Systematic Review. Journal of Surgical Research, 236, 184-197. [Google Scholar] [CrossRef] [PubMed]
[7] Klang, E., Soroush, A., Nadkarni, G., Sharif, K. and Lahat, A. (2023) Deep Learning and Gastric Cancer: Systematic Review of Ai-Assisted Endoscopy. Diagnostics, 13, Article 3613. [Google Scholar] [CrossRef] [PubMed]
[8] Sun, G., Meng, J., Duan, H., Zhang, D. and Tang, Y. (2019) Diagnostic Assessment of Septin9 DNA Methylation for Colorectal Cancer Using Blood Detection: A Meta-Analysis. Pathology & Oncology Research, 25, 1525-1534. [Google Scholar] [CrossRef] [PubMed]
[9] Shaik, M.R., Canakis, A., Shaik, N.A., Bomman, S., Dahiya, D.S., Gorman, E., et al. (2024) Diagnostic Performance of Blue Laser Imaging for Early Detection of Gastric Cancer: A Systematic Review and Meta-Analysis. Indian Journal of Gastroenterology, 43, 976-985. [Google Scholar] [CrossRef] [PubMed]
[10] Lv, X., Wang, C. and Xie, Y. (2017) Comparison of Diagnostic Efficacy between AFI, NBI, and AFI Combined with NBI for Colonic Cancers: A Meta-Analysis. Saudi Journal of Gastroenterology, 23, 82-90. [Google Scholar] [CrossRef] [PubMed]
[11] Arnold, M., Abnet, C.C., Neale, R.E., Vignat, J., Giovannucci, E.L., McGlynn, K.A., et al. (2020) Global Burden of 5 Major Types of Gastrointestinal Cancer. Gastroenterology, 159, 335-349.e15. [Google Scholar] [CrossRef] [PubMed]
[12] Ladabaum, U., Dominitz, J.A., Kahi, C. and Schoen, R.E. (2020) Strategies for Colorectal Cancer Screening. Gastroenterology, 158, 418-432. [Google Scholar] [CrossRef] [PubMed]
[13] Su, F., Zhu, M.L., Feng, R. and Li, Y.H. (2022) ME-NBI Combined with Endoscopic Ultrasonography for Diagnosing and Staging the Invasion Depth of Early Esophageal Cancer: A Diagnostic Meta-Analysis. World Journal of Surgical Oncology, 20, 343.
https://pubmed.ncbi.nlm.nih.gov/36253783/
[14] Huang, Y., Yang, Z., Yao, Y., Liu, G. and Chen, R. (2023) Diagnostic Accuracy of Magnifying Chromoendoscopy in the Assessment of Tumor Invasion Depth in Early Colorectal Cancer: A Systematic Review and Meta-Analysis. Techniques in Coloproctology, 27, 1155-1167. [Google Scholar] [CrossRef] [PubMed]
[15] Zhong, Y., Xiao, Y., Ye, J., Jian, G. and Huang, W. (2024) Diagnostic Efficacy of Contrast-Enhanced Gastric Ultrasonography in Staging Gastric Cancer: A Meta-Analysis. BMC Cancer, 24, Article No. 422. [Google Scholar] [CrossRef] [PubMed]
[16] Song, D., Wang, F., Ju, Y., He, Q., Sun, T., Deng, W., et al. (2023) Application and Development of Noninvasive Biomarkers for Colorectal Cancer Screening: A Systematic Review. International Journal of Surgery, 109, 925-935. [Google Scholar] [CrossRef] [PubMed]