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磁共振成像(MRI)及磁共振波谱方法在理解乳腺癌生物学与代谢方面的应用

Magnetic Resonance Imaging (MRI) and MR Spectroscopic Methods in Understanding Breast Cancer Biology and Metabolism.

作者信息

Sharma Uma, Jagannathan Naranamangalam R

机构信息

Department of NMR & MRI Facility, All India Institute of Medical Sciences, New Delhi 110 029, India.

Department of Radiology, Chettinad Hospital & Research Institute, Chettinad Academy of Research & Education, Chennai 603 103, India.

出版信息

Metabolites. 2022 Mar 27;12(4):295. doi: 10.3390/metabo12040295.

Abstract

A common malignancy that affects women is breast cancer. It is the second leading cause of cancer-related death among women. Metabolic reprogramming occurs during cancer growth, invasion, and metastases. Functional magnetic resonance (MR) methods comprising an array of techniques have shown potential for illustrating physiological and molecular processes changes before anatomical manifestations on conventional MR imaging. Among these, in vivo proton (H) MR spectroscopy (MRS) is widely used for differentiating breast malignancy from benign diseases by measuring elevated choline-containing compounds. Further, the use of hyperpolarized C and P MRS enhanced the understanding of glucose and phospholipid metabolism. The metabolic profiling of an array of biological specimens (intact tissues, tissue extracts, and various biofluids such as blood, urine, nipple aspirates, and fine needle aspirates) can also be investigated through in vitro high-resolution NMR spectroscopy and high-resolution magic angle spectroscopy (HRMAS). Such studies can provide information on more metabolites than what is seen by in vivo MRS, thus providing a deeper insight into cancer biology and metabolism. The analysis of a large number of NMR spectral data sets through multivariate statistical methods classified the tumor sub-types. It showed enormous potential in the development of new therapeutic approaches. Recently, multiparametric MRI approaches were found to be helpful in elucidating the pathophysiology of cancer by quantifying structural, vasculature, diffusion, perfusion, and metabolic abnormalities in vivo. This review focuses on the applications of NMR, MRS, and MRI methods in understanding breast cancer biology and in the diagnosis and therapeutic monitoring of breast cancer.

摘要

乳腺癌是一种常见的影响女性的恶性肿瘤。它是女性癌症相关死亡的第二大主要原因。在癌症生长、侵袭和转移过程中会发生代谢重编程。包括一系列技术的功能磁共振(MR)方法已显示出在传统MR成像出现解剖学表现之前阐明生理和分子过程变化的潜力。其中,体内质子(H)磁共振波谱(MRS)通过测量含胆碱化合物的升高,广泛用于区分乳腺恶性肿瘤与良性疾病。此外,超极化碳和磷MRS的使用增强了对葡萄糖和磷脂代谢的理解。一系列生物标本(完整组织、组织提取物以及各种生物流体,如血液、尿液、乳头抽吸液和细针抽吸液)的代谢谱也可以通过体外高分辨率核磁共振波谱和高分辨率魔角光谱(HRMAS)进行研究。此类研究可以提供比体内MRS所见更多的代谢物信息,从而更深入地了解癌症生物学和代谢。通过多变量统计方法对大量核磁共振光谱数据集进行分析,对肿瘤亚型进行了分类。它在开发新的治疗方法方面显示出巨大潜力。最近,发现多参数MRI方法有助于通过在体内量化结构、血管、扩散、灌注和代谢异常来阐明癌症的病理生理学。本综述重点关注核磁共振、MRS和MRI方法在理解乳腺癌生物学以及乳腺癌诊断和治疗监测中的应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14b5/9030399/eaa9aad4f955/metabolites-12-00295-g001.jpg

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