Application of Fourier transform infrared spectroscopy on Breast cancer diagnosis combined with multiple algorithms: A systematic review

IF 3.1 3区医学 Q2 ONCOLOGY

Photodiagnosis and Photodynamic Therapy Pub Date : 2025-04-02 DOI:10.1016/j.pdpdt.2025.104579

Yeniewa Kerie Anagaw , Gizachew Kassahun Bizuneh , Melaku Getahun Feleke , Liknaw Workie Limenh , Derso Teju Geremew , Minichil Chanie Worku , Melese Legesse Mitku , Misganaw Gashaw Dessie , Biset Asrade Mekonnen , Wondim Ayenew

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引用次数: 0

Abstract

Introduction

Fourier transform infrared (FT-IR) spectroscopy is an innovative diagnostic technique for improving early detection and personalized care for breast cancer patients. It allows rapid and accurate analysis of biological samples. Therefore, the purpose of this study was to assess the diagnostic accuracy of FT-IR spectroscopy for breast cancer, based on a comprehensive literature review.

Methods

An online electronic database systematic search was conducted using PubMed/Medline, Cochrane Library, and hand databases from March 28, 2024, to April 10, 2024. We included peer-reviewed journal articles in which FT-IR spectroscopy was used to acquire data on breast cancers and manuscripts published in English. All eligible studies were assessed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS) tool.

Results

Serum, breast biopsies, blood plasma, specimen, and saliva samples were included in this study. This study revealed that breast cancer diagnosis using FT-IR spectroscopy with diagnostic algorithms had a sensitivity and specificity of approximately 98 % and 100 %, respectively. Almost all studies have used more than one algorithm to analyze spectral data. This finding showed that the sensitivity of FT-IR spectroscopy reported in six included studies was greater than 90 %.

Conclusion

Employing multivariate analysis coupled with FT-IR spectroscopy has shown promise in differentiating between healthy and cancerous breast tissue. This review revealed that FT-IR spectroscopy will be the next gold standard for breast cancer diagnosis. However, to draw definitive conclusions, larger-scale studies, external validation, real-world clinical trials, legislative considerations, and alternative methods such as Raman spectroscopy should be considered.

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傅立叶变换红外光谱结合多种算法在乳腺癌诊断中的应用：系统综述

简介：傅里叶变换红外（FT-IR）光谱是一种创新的诊断技术，用于改善乳腺癌患者的早期发现和个性化护理。它可以快速准确地分析生物样本。因此，本研究的目的是在综合文献综述的基础上，评估FT-IR光谱对乳腺癌的诊断准确性。方法：从2024年3月28日至2024年4月10日，利用PubMed/Medline、Cochrane Library和hand数据库进行在线电子数据库系统检索。我们纳入了用FT-IR光谱获取乳腺癌数据的同行评议期刊文章和英文发表的手稿。所有符合条件的研究均使用诊断准确性研究质量评估（QUADAS）工具进行评估。结果：本研究包括血清、乳腺活检、血浆、标本和唾液样本。本研究表明，使用FT-IR光谱诊断乳腺癌的诊断算法的敏感性和特异性分别为98%和100%。几乎所有的研究都使用了不止一种算法来分析光谱数据。这一发现表明，在纳入的6项研究中，FT-IR光谱的灵敏度大于90%。结论：多变量分析结合傅里叶变换红外光谱在鉴别健康乳腺组织和癌变乳腺组织方面显示出良好的前景。这一综述表明，傅里叶变换红外光谱将成为乳腺癌诊断的下一个金标准。然而，为了得出明确的结论，应该考虑更大规模的研究、外部验证、现实世界的临床试验、立法考虑以及拉曼光谱等替代方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Photodiagnosis and Photodynamic Therapy ONCOLOGY-

CiteScore

5.80

自引率

24.20%

发文量

509

审稿时长

50 days

期刊介绍： Photodiagnosis and Photodynamic Therapy is an international journal for the dissemination of scientific knowledge and clinical developments of Photodiagnosis and Photodynamic Therapy in all medical specialties. The journal publishes original articles, review articles, case presentations, "how-to-do-it" articles, Letters to the Editor, short communications and relevant images with short descriptions. All submitted material is subject to a strict peer-review process.