Chacko Neelima, Ankri Rinat
Department of Physics, Faculty of Natural Science, Ariel University, 40700, Ariel, Israel.
Clin Exp Med. 2024 Dec 21;25(1):17. doi: 10.1007/s10238-024-01513-x.
This review paper explores the realm of non-invasive methods for early cancer detection. Early identification is crucial for effective therapeutic intervention, and non-invasive techniques have emerged as promising tools to enhance diagnostic accuracy and improve patient outcomes. The paper thoroughly examines the advantages, limitations, and prospects of various non-invasive approaches, including blood tests, non-blood-based tests, and diverse imaging modalities. It discusses the biomarkers found in blood for early-stage cancer detection, specifying the types of cancer associated with each biomarker. The non-blood-based tests focus on components in saliva, urine, and breath for cancer detection, alongside current studies and future perspectives on various cancers. Optical imaging methods covered in this review include fluorescence imaging in the near-infrared (NIR) region, bioluminescence imaging, and Raman spectroscopy for early-stage cancer detection. The review also highlights the pros and cons of ultrasound imaging in early-stage cancer detection. Additionally, the clinical implications of using AI for cancer detection, both present and future, are explored. This paper provides valuable insights for researchers and clinicians working in the field of non-invasive early-stage cancer detection.
这篇综述文章探讨了早期癌症检测的非侵入性方法领域。早期识别对于有效的治疗干预至关重要，非侵入性技术已成为提高诊断准确性和改善患者预后的有前景的工具。该文章全面研究了各种非侵入性方法的优势、局限性和前景，包括血液检测、非血液检测以及多种成像方式。它讨论了血液中用于早期癌症检测的生物标志物，明确了与每种生物标志物相关的癌症类型。非血液检测专注于唾液、尿液和呼出气体中的成分用于癌症检测，以及当前关于各种癌症的研究和未来展望。本综述涵盖的光学成像方法包括近红外（NIR）区域的荧光成像、生物发光成像和用于早期癌症检测的拉曼光谱。该综述还强调了超声成像在早期癌症检测中的优缺点。此外，还探讨了人工智能在癌症检测中当前和未来的临床应用。本文为从事非侵入性早期癌症检测领域的研究人员和临床医生提供了有价值的见解。
