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一种使用放射自显影术的新技术,用于测量结直肠癌异种移植模型中放射性标记抗体分布的均匀性。

A novel technique, using radioluminography, for the measurement of uniformity of radiolabelled antibody distribution in a colorectal cancer xenograft model.

作者信息

Flynn A A, Green A J, Boxer G M, Casey J L, Pedley R B, Begent R H

机构信息

Department of Clinical Oncology, Royal Free Hospital School of Medicine, London, UK.

出版信息

Int J Radiat Oncol Biol Phys. 1999 Jan 1;43(1):183-9. doi: 10.1016/s0360-3016(98)00275-2.

Abstract

PURPOSE

Radioimmunotherapy of cancer employs an antitumour antibody to carry a radionuclide selectively to deposits of cancer. Conventional dose estimates, based on the Medical Internal Radiation Dose (MIRD) formulation, assume uniform distribution of radiolabelled antitumour antibody within tissue source regions. This assumption has been tested by using a statistical model to predict the pixel value distribution obtained from the digitised radioluminographs of a known radioactive source. The model uses the statistical nature of the detection of radiation where any uniform source distribution can be expected to have a detected histogram of pixel counts that is normal or Gaussian. Therefore, any test for the degree of normality in the detected distribution is also a measure of the degree of uniformity in the source.

METHODS AND MATERIALS

Three statistical techniques have been used to test the normality of the histogram of pixel values produced from the antibody distribution in a tissue section. Kurtosis, skew, and Lilliefor's are tests for normality and have statistically defined critical values for a normal distribution. After administration of 125I-labelled F(ab)2 antibody to nude mice bearing the LS174T colorectal cancer xenograft, the uniformity of antibody distribution in tumour and healthy tissues is measured using the radioluminographs of formalin-fixed paraffin sections. The test statistic for kurtosis, skew, and Lilliefor's is calculated for each tissue and is compared to critical values from statistical tables.

RESULTS

The radiolabelled antibody is distributed uniformly in liver, spleen, muscle, lung, and colon and, therefore, conforms to conventional use of the MIRD formulation. The study showed that the kidney cortex and medulla should be considered separately in macroscopic absorbed-dose calculations, as should bone marrow and hard bone. Antibody heterogeneity in the tumour necessitates the incorporation of a microdosimetric tumour model into a macrodosimetry model for the accurate calculation of absorbed dose in all tissues.

摘要

目的

癌症的放射免疫疗法利用抗肿瘤抗体将放射性核素选择性地带到癌灶处。基于医学内照射剂量(MIRD)公式的传统剂量估计假定放射性标记的抗肿瘤抗体在组织源区内均匀分布。通过使用统计模型预测从已知放射源的数字化放射自显影片获得的像素值分布,对这一假设进行了检验。该模型利用了辐射检测的统计特性,即任何均匀的源分布预计会有一个检测到的像素计数直方图呈正态或高斯分布。因此,对检测到的分布中的正态程度的任何检验也是对源中均匀程度的一种度量。

方法和材料

已使用三种统计技术来检验组织切片中抗体分布产生的像素值直方图的正态性。峰度、偏度和利利福斯检验是用于正态性的检验,并且对于正态分布具有统计学定义的临界值。将125I标记的F(ab)2抗体给予携带LS174T结肠直肠癌异种移植瘤的裸鼠后,使用福尔马林固定石蜡切片的放射自显影片测量肿瘤和健康组织中抗体分布的均匀性。计算每个组织的峰度、偏度和利利福斯检验统计量,并与统计表中的临界值进行比较。

结果

放射性标记的抗体在肝脏、脾脏、肌肉、肺和结肠中均匀分布,因此符合MIRD公式的常规用法。研究表明,在宏观吸收剂量计算中,肾皮质和髓质应分别考虑,骨髓和硬骨也应如此。肿瘤中的抗体异质性使得在宏观剂量测定模型中纳入微剂量测定肿瘤模型对于准确计算所有组织中的吸收剂量成为必要。

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