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通过化学位移选择性19F磁共振成像绘制荷瘤大鼠体内5-氟尿嘧啶的生物分布和分解代谢情况。

Mapping the biodistribution and catabolism of 5-fluorouracil in tumor-bearing rats by chemical-shift selective 19F MR imaging.

作者信息

Brix G, Bellemann M E, Haberkorn U, Gerlach L, Bachert P, Lorenz W J

机构信息

Research Program Radiological Diagnostics and Therapy, German Cancer Research Center (DKFZ), Heidelberg, Germany.

出版信息

Magn Reson Med. 1995 Sep;34(3):302-7. doi: 10.1002/mrm.1910340304.

Abstract

A chemical-shift selective (CHESS) 19F MR imaging technique was used to map selectively the antineoplastic drug 5-fluorouracil (5-FU) and its major catabolite alpha-fluoro-beta-alanine (FBAL) in tumor-bearing rats. The pulse sequence employed a CHESS RF saturation pulse to suppress either the 5-FU or the FBAL resonance before the other component in the two-line 19F MR spectra was measured. Selective 5-FU and FBAL images with a spatial resolution of 10 x 10 x 15 mm3 (1.5 ml) were obtained in 40 min from six ACl rats with implanted Morris hepatoma. Because the transmitter frequency could always be set to the Larmor frequency of the 19F resonance employed for imaging, the images were free of chemical-shift artifacts in readout and slice-selection direction. Whereas FBAL appeared only in the liver, the kidneys, and the bladder, 5-FU could also be detected in all major organs and in the muscular system. In the Morris hepatomas, a small 5-FU uptake and no FBAL accumulation were measured. The CHESS 19F MRI technique provides useful physiological and biochemical data on the biodistribution of the antineoplastic drug 5-FU and on the different catabolic activities of the tissues.

摘要

采用化学位移选择性(CHESS)19F磁共振成像技术,对荷瘤大鼠体内的抗肿瘤药物5-氟尿嘧啶(5-FU)及其主要代谢产物α-氟-β-丙氨酸(FBAL)进行选择性成像。该脉冲序列采用CHESS射频饱和脉冲,在测量二线19F磁共振谱中的另一种成分之前,抑制5-FU或FBAL的共振。从6只植入Morris肝癌的ACl大鼠中,在40分钟内获得了空间分辨率为10×10×15 mm3(1.5 ml)的选择性5-FU和FBAL图像。由于发射机频率始终可以设置为用于成像的19F共振的拉莫尔频率,因此图像在读出和层面选择方向上没有化学位移伪影。FBAL仅出现在肝脏、肾脏和膀胱中,而5-FU在所有主要器官和肌肉系统中也能被检测到。在Morris肝癌中,检测到少量的5-FU摄取,未检测到FBAL积累。CHESS 19F磁共振成像技术为抗肿瘤药物5-FU的生物分布以及组织的不同分解代谢活性提供了有用的生理和生化数据。

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