Jafari Seyed Hamed, Lajevardi Zahra Sadat, Zamani Fard Mohammad Masoud, Jafari Ameneh, Naghavi Soroush, Ravaei Fatemeh, Taghavi Seyed Pouya, Mosadeghi Kimia, Zarepour Fatemeh, Mahjoubin-Tehran Maryam, Rahimian Neda, Mirzaei Hamed
Medical Imaging Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Department of Radiology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Cell Biochem Biophys. 2024 Dec;82(4):3123-3144. doi: 10.1007/s12013-024-01437-z. Epub 2024 Jul 19.
Pancreatic cancer (PaC) incidence is increasing, but our current screening and diagnostic strategies are not very effective. However, screening could be helpful in the case of PaC, as recent evidence shows that the disease progresses gradually. Unfortunately, there is no ideal screening method or program for detecting PaC in its early stages. Conventional imaging techniques, such as abdominal ultrasound, CT, MRI, and EUS, have not been successful in detecting early-stage PaC. On the other hand, biomarkers may be a more effective screening tool for PaC and have greater potential for further evaluation compared to imaging. Recent studies on biomarkers and artificial intelligence (AI)-enhanced imaging have shown promising results in the early diagnosis of PaC. In addition to proteins, non-coding RNAs are also being studied as potential biomarkers for PaC. This review consolidates the current literature on PaC screening modalities to provide an organized framework for future studies. While conventional imaging techniques have not been effective in detecting early-stage PaC, biomarkers and AI-enhanced imaging are promising avenues of research. Further studies on the use of biomarkers, particularly non-coding RNAs, in combination with imaging modalities may improve the accuracy of PaC screening and lead to earlier detection of this deadly disease.
胰腺癌（PaC）的发病率正在上升，但我们目前的筛查和诊断策略并不十分有效。然而，筛查对于胰腺癌可能是有帮助的，因为最近的证据表明该疾病是逐渐发展的。不幸的是，目前尚无用于早期检测胰腺癌的理想筛查方法或方案。传统的成像技术，如腹部超声、CT、MRI和EUS，在检测早期胰腺癌方面并不成功。另一方面，与成像技术相比，生物标志物可能是一种更有效的胰腺癌筛查工具，并且具有更大的进一步评估潜力。最近关于生物标志物和人工智能（AI）增强成像的研究在胰腺癌的早期诊断中显示出了有前景的结果。除了蛋白质外，非编码RNA也正在作为胰腺癌的潜在生物标志物进行研究。本综述整合了当前关于胰腺癌筛查方式的文献，为未来的研究提供一个有组织的框架。虽然传统成像技术在检测早期胰腺癌方面并不有效，但生物标志物和AI增强成像却是很有前景的研究途径。进一步研究生物标志物，特别是非编码RNA，与成像方式相结合，可能会提高胰腺癌筛查的准确性，并导致更早地检测出这种致命疾病。
