Suppr超能文献

尿类固醇谱作为评估肾上腺肿瘤的一种新的有前途的工具。文献综述。

Urine steroid profile as a new promising tool for the evaluation of adrenal tumors. Literature review.

机构信息

Department of Endocrinology & Metabolism, Hospital Universitario Ramón y Cajal, Madrid, Spain.

Instituto de Investigación Biomédica Ramón y Cajal (IRYCIS), Madrid, Spain.

出版信息

Endocrine. 2021 Apr;72(1):40-48. doi: 10.1007/s12020-020-02544-6. Epub 2020 Nov 21.

Abstract

PURPOSE

To review the literature assessing the diagnostic performance of urinary steroid profiling (USP) by high-performance liquid chromatography (LC-MS) or gas chromatography (GC) coupled to mass spectrometry (MS) in the evaluation of adrenal lesions, both in terms of functionality and malignancy.

RESULTS

The evaluation of adrenal incidentalomas (AI) aims to rule out malignancy and hormone excess. Current diagnostic protocols have several limitations and include time consuming and relatively complicated multi-step processes in most cases. On the contrary, USP by LC-MS/MS or LC-GC/MS offer an easy, comprehensive and non-invasive assessment of adrenal steroid secretion. USP complements current workups used in the evaluation of AIs by improving our ability to identify malignancy and/or autonomous hormone secretion.

CONCLUSIONS

Urine steroid profiling by LC-MS/MS and GC-MS allows a thorough, non-invasive, assessment of adrenal steroidogenesis as a whole which complement the current evaluation of AIs, and holds a promising role in the diagnosis of autonomous cortisol secretion, primary aldosteronism, and adrenal malignancy.

摘要

目的

通过高效液相色谱(LC-MS)或气相色谱(GC)与质谱(MS)联用评估尿甾体谱(USP)在评估肾上腺病变中的诊断性能,包括功能和恶性肿瘤方面。

结果

评估意外发现的肾上腺肿瘤(AI)旨在排除恶性肿瘤和激素过多。目前的诊断方案存在一些局限性,包括在大多数情况下耗时且相对复杂的多步骤过程。相比之下,LC-MS/MS 或 LC-GC/MS 的 USP 提供了一种简单、全面且非侵入性的肾上腺类固醇分泌评估方法。USP 通过提高我们识别恶性肿瘤和/或自主激素分泌的能力,补充了当前用于评估 AI 的工作流程。

结论

LC-MS/MS 和 GC-MS 的尿甾体谱分析可全面、非侵入性地评估肾上腺甾体生成,补充了当前对 AI 的评估,并在诊断自主皮质醇分泌、原发性醛固酮增多症和肾上腺恶性肿瘤方面具有广阔的应用前景。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验