In vivo micro-CT imaging of rat brain glioma: A comparison with 3T MRI and histology
| Autor: | Marc Schwarz, Willi A. Kalender, Ilker Y. Eyüpoglu, Tobias Struffert, Arnd Doerfler, Tobias Engelhorn, Holger Bruenner, Marek Karolczak |
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| Rok vydání: | 2009 |
| Předmět: |
Pathology
medicine.medical_specialty Green Fluorescent Proteins H&E stain Contrast Media Biology Transfection Imaging Three-Dimensional In vivo Glioma medicine Animals Neoplasm Staging medicine.diagnostic_test Brain Neoplasms General Neuroscience Magnetic resonance imaging Histology Gold standard (test) medicine.disease Magnetic Resonance Imaging Rats Inbred F344 Rats Tumor Burden Female Tomography Tomography X-Ray Computed Preclinical imaging |
| Zdroj: | Neuroscience Letters. 458:28-31 |
| ISSN: | 0304-3940 |
| DOI: | 10.1016/j.neulet.2009.04.033 |
| Popis: | The aim of this study was to evaluate the potential of a novel micro-CT system to image in vivo the extent of tumor in a rat model of malignant glioma compared to 3T magnetic resonance imaging (MRI) and histology. Fourteen animals underwent double dose contrast-enhanced imaging with micro-CT and 3T MRI using a clinical machine at day 10 after stereotactic F98 glioma cell implantation. Calculation of the volume of the contrast-uptaking part of the tumor was done by manually outlining the tumor contours by two experienced neuroradiologists. The micro-CT- and MRI-derived tumor volumes were compared to histology as gold standard (hematoxylin and eosin staining and fluorescence staining). There was high interobserver reability regarding the tumor volumes (Crombach's alpha>0.81). Also, there was good correlation of micro-CT- and high-field MRI-derived tumor volumes compared to histology: 72+/-21 mm3 and 69+/-23 mm3 compared to 81+/-14 mm3, respectively (r>0.76). Both the micro-CT- and MRI-derived tumor volumes were not significantly smaller compared to histology (P>0.14). In conclusion, micro-CT allows in vivo imaging of the contrast-enhancing part of experimental gliomas with an accuracy comparable to high-field MRI. |
| Databáze: | OpenAIRE |
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