Evaluating human breast ductal carcinomas with high-resolution magic-angle spinning proton magnetic resonance spectroscopy
Evaluating human breast ductal carcinomas with high-resolution magic-angle spinning proton magnetic resonance spectroscopy
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DOI：
10.1006/jmre.1998.1578
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发表时间：
1998-11-01
影响因子：
2.2
通讯作者：
Gonzalez, RG
中科院分区：
文献类型：
--
作者：
Cheng, LL;Chang, IW;Gonzalez, RG
我们报告的结果，人类乳腺导管癌的研究，进行了高分辨率魔角旋转质子磁共振波谱（HRMAS 1HMRS）。这种新发展的光谱技术可以从完整的病理标本中测量组织代谢，并识别与肿瘤体内状态密切对应的组织生化变化。该程序客观地指示诊断参数，独立于研究者的技能和经验，并且有可能减少与常规组织病理学程序固有相关的采样误差。在这项研究中，我们测量了19例女性导管癌。我们的结果表明：（1）可以获得人乳腺导管癌完整标本的高分辨光谱;（2）通过细胞代谢物的强度和自旋-自旋弛豫时间T2的改变可以区分无癌组织和癌;（3）肿瘤代谢标志物，如磷酸胆碱、乳酸盐和脂质，可能与通过评价相邻标本确定的组织病理学分级相关。我们的研究结果表明，这样测量的生化标志物可能作为一个有价值的辅助组织病理学，以提高准确性，并减少所需的时间框架诊断人类乳腺癌。(C)北京：科学出版社.
We report the results of a study of human breast ductal carcinomas, conducted by using high resolution magic angle spinning proton magnetic resonance spectroscopy (HRMAS 1HMRS). This recently developed spectroscopic technique can measure tissue metabolism from intact pathological specimens and identify tissue biochemical changes, which closely correspond to tumor in vivo state. This procedure objectively indicates diagnostic parameters, independent of the skill and experience of the investigator, and has the potential to reduce the sampling errors inherently associated with procedures of conventional histopathology. In this study, we measured 19 cases of female ductal carcinomas. Our results demonstrate that: (1) highly resolved spectra of intact specimens of human breast ductal carcinomas can be obtained; (2) carcinoma-free tissues and carcinomas are distinguishable by alterations in the intensities and the spin-spin relaxation time T2 of cellular metabolites; and (3) tumor metabolic markers, such as phosphocholine, lactate, and lipids, may correlate with the histopathological grade determined from evaluation of the adjacent specimen. Our results suggest that biochemical markers thus measured may function as a valuable adjunct to histopathology to improve the accuracy of and reduce the time frame required for the diagnosis of human breast cancer. (C) 1998 Academic Press.