乳腺癌诊断技术综述

IF 4.1 Q2 CHEMISTRY, ANALYTICAL
Parikshana Mathur, Saakshi Dhanekar and B. D. Malhotra
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引用次数: 0

摘要

当细胞异常生长并形成肿瘤时,就会发生乳腺癌。它是目前女性中最常见的癌症之一,如果不及时发现,它会造成严重的有害影响。因此,早期发现和筛查可能极大地有助于患者的医疗。癌症诊断的蓬勃发展是由于人们需要克服体积庞大、耗时的传统检测方法的局限性。新的和先进的方法更简单,更快,更容易部署。本文综述了用于乳腺癌检测的各种技术,包括光学、电化学、机械、电、热以及基于颜色和呼吸的方法。本文概述了不同的技术,并提供了与可用的商业选项相关的附加信息。本文还介绍了人工智能和物联网与未来诊断技术的融合。还讨论了未满足的需求和挑战。总的来说,这篇综述对于想要深入研究乳腺癌诊断进展的研究人员来说是一个全面的包。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A review on breast cancer diagnostic techniques

A review on breast cancer diagnostic techniques

Breast cancer occurs when cells grow abnormally and form tumors. It is currently one of the most prevalent cancers in women, and it is known to cause serious detrimental effects if not detected on time. Thus, early detection and screening may tremendously contribute to a patient's medical treatment. The boom in cancer diagnostics resulted from the demand to overcome the limitations of bulky and time-consuming conventional detection methods. The new and advanced methods are simpler, faster and easily deployable. This review elucidates various techniques used for breast cancer detection, which include optical, electrochemical, mechanical, electrical, thermal and color- and breath-based methods. An overview of different techniques is presented with additional information related to the available commercial options. This review also presents the integration of artificial intelligence and Internet of Things into futuristic diagnostic techniques. The unmet needs and challenges are also discussed. Overall, this review is a comprehensive package for researchers who want to dive into the advances of breast cancer diagnostics.

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CiteScore
2.30
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