4.7 Article

Steady-state blood volume measurements in experimental tumors with different angiogenic burdens - A study in mice

Journal

RADIOLOGY
Volume 226, Issue 1, Pages 214-220

Publisher

RADIOLOGICAL SOC NORTH AMERICA
DOI: 10.1148/radiol.2261012140

Keywords

angiogenesis; contrast media, experimental studies; experimental study; neoplasms, experimental studies; neoplasms, radionuclide studies

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PURPOSE: To experimentally validate the effectiveness of magnetic resonance (MR) imaging enhanced with long-circulating iron oxide for measurement of vascular volume fractions (VVFs) as indicators of angiogenesis in different experimental tumor models. MATERIALS AND METHODS: Tumors with differing degrees of angiogenesis-9L rodent gliosarcoma, DU4475 human mammary adenocarcinoma, HT1080 human fibrosarcoma, and EOMA hemangioendothelioma-were implanted in nude mice. Tumoral VVFs were measured at submillimeter voxel resolutions by using 1.5-TMR imaging. A technetium-labeled intravascular radiotracer was injected into a subset of the animals to validate the MR imaging measurements. Microvessel density and vascular endothelial growth factor (VEGF) also were measured. Statistical analysis was performed with analysis of variance. RESULTS: High-resolution multisection MR maps of tumor blood volume were obtained in all tumor models. Mean tumoral VVF differed significantly among the different tumors: 2.1% +/- 0.3 (standard error of mean) for 9L gliosarcoma, 3.1% +/- 0.4 for DU4475 mammary adenocarcinoma, 5.5% +/- 0.8 for HT1080 fibrosarcoma, and 6.6% +/- 0.9 for EOMA hemangioendothelioma (P<.01). There was a strong correlation between the MR imaging and radiotracer measurements. There was considerable intra- and intertumoral heterogeneity among the VVFs. MR imaging measurements were in accordance with conventional measurements of angiogenesis, such as microvessel density count and VEGF. CONCLUSION: Measurements of tumoral VVF at high-resolution MR imaging with long-circulating iron oxide are feasible and correlate with angiogenic burden in experimental tumor models. (C) RSNA, 2002.

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