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基于探针电喷雾电离质谱的脂质谱分析诊断乳腺癌。

Breast cancer diagnosis based on lipid profiling by probe electrospray ionization mass spectrometry.

机构信息

Department of Anatomy and Cell Biology, Faculty of Medicine, Yamanashi, Japan.

Department of Digestive , Breast and Endocrine Surgery, Yamanashi, Japan.

出版信息

Br J Surg. 2020 May;107(6):632-635. doi: 10.1002/bjs.11613. Epub 2020 Apr 4.

DOI:10.1002/bjs.11613
PMID:32246473
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7216899/
Abstract

Probe electrospray ionization mass spectrometry (PESI-MS) is an ambient ionization-based mass spectrometry method that surpasses the original electrospray ionization technique in features such as the rapidity of analysis, simplicity of the equipment and procedure, and lower cost. This study found that the PESI-MS system with machine learning has the potential to establish a lipid-based diagnosis of breast cancer with higher accuracy, using a simpler approach. Rapid mass spectrometry for breast cancer.

摘要

探针电喷雾电离质谱（PESI-MS）是一种基于环境电离的质谱分析方法，在分析速度、仪器和操作程序的简化以及成本降低等方面超越了原始的电喷雾电离技术。本研究发现，基于机器学习的 PESI-MS 系统具有更高准确性的潜力，使用更简单的方法建立基于脂质的乳腺癌诊断。快速质谱用于乳腺癌。

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