Visualization of Inflammation at Early Stage of Lung Cancer in Xenografted Temporally Immunosuppression Rats by Ferrioxamine Magnetic Resonance Imaging.
Nathupakorn DechsupaChatchanok UdomtanakunchaiAnan Udom-UtrarachevaDutsadee SutthoLionel PazartPhilippe HumbertManuel GarrigosSamlee MankhetkornPublished in: International journal of molecular imaging (2016)
Physiological responses such as chronic inflammation and angiogenesis could be used as biomarkers for early detection of cancer with noninvasive imaging modalities. The present study reports the application of magnetic resonance imaging instrument to image the binding of ferrioxamine with hemin that allows visualizing the chronic inflammation foci of lung tissue of immunocompromised rats xenografted using small cell lung carcinoma. A low concentration of ferrioxamine (0.05 ± 0.02 μM·kg-1 of rat weight) deposited on tissue outside the vasculature was found to diffuse across the capillary walls to the interstitial space and inflammation foci, which provided a clear enhancement of T1-weighted gradient-echo sequence images. Ferrioxamine imaging allowed the determination of inflammatory sites and their localization in 3D fat-suppressed maximum intensity projections. The smallest dimension of foci that can be clearly determined is about 0.1 mm3. In concomitant to the in vivo imaging, analysis of histological tissue section showed the development of inflammatory sites. This study provides evidence that medical imaging instrument such as MRI scanner allows researchers to correlate images taken with MRI with those using high-resolution microscopy. Moreover, ferrioxamine is a useful molecular probe for determining chronic inflammation particularly at the very early stages of cancer.
Keyphrases
- high resolution
- oxidative stress
- magnetic resonance imaging
- contrast enhanced
- early stage
- deep learning
- diffusion weighted imaging
- magnetic resonance
- computed tomography
- papillary thyroid
- body mass index
- emergency department
- intensive care unit
- squamous cell
- low grade
- adipose tissue
- stem cells
- optical coherence tomography
- high speed
- endothelial cells
- machine learning
- mesenchymal stem cells
- quantum dots
- patient reported outcomes
- single molecule
- solid phase extraction
- rectal cancer
- tandem mass spectrometry
- transcription factor
- binding protein