Quantitative characterization of rodent feto-placental vasculature morphology in micro-computed tomography images

2019 ◽  
Vol 179 ◽  
pp. 104984 ◽  
Author(s):  
Yutthapong Tongpob ◽  
Shushan Xia ◽  
Caitlin Wyrwoll ◽  
Andrew Mehnert
2017 ◽  
Vol 35 (8) ◽  
pp. 933-938 ◽  
Author(s):  
Roberto Pisano ◽  
Antonello A. Barresi ◽  
Luigi C. Capozzi ◽  
Giorgia Novajra ◽  
Irene Oddone ◽  
...  

2021 ◽  
Vol 20 ◽  
pp. 153303382110164
Author(s):  
Sang Bu An ◽  
Kwangmo Yang ◽  
Chang Won Kim ◽  
Si Ho Choi ◽  
Eunji Kim ◽  
...  

Introduction: Micro-computed tomography with nanoparticle contrast agents may be a suitable tool for monitoring the time course of the development and progression of tumors. Here, we suggest a practical and convenient experimental method for generating and longitudinally imaging murine liver cancer models. Methods: Liver cancer was induced in 6 experimental mice by injecting clustered regularly interspaced short palindromic repeats/clustered regularly interspaced short palindromic repeats-associated protein 9 plasmids causing mutations in genes expressed by hepatocytes. Nanoparticle agents are captured by Kupffer cells and detected by micro-computed tomography, thereby enabling longitudinal imaging. A total of 9 mice were used for the experiment. Six mice were injected with both plasmids and contrast, 2 injected with contrast alone, and one not injected with either agent. Micro-computed tomography images were acquired every 2- up to 14-weeks after cancer induction. Results: Liver cancer was first detected by micro-computed tomography at 8 weeks. The mean value of hepatic parenchymal attenuation remained almost unchanged over time, although the standard deviation of attenuation, reflecting heterogeneous contrast enhancement of the hepatic parenchyma, increased slowly over time in all mice. Histopathologically, heterogeneous distribution and aggregation of Kupffer cells was more prominent in the experimental group than in the control group. Heterogeneous enhancement of hepatic parenchyma, which could cause image quality deterioration and image misinterpretation, was observed and could be due to variation in Kupffer cells distribution. Conclusion: Micro-computed tomography with nanoparticle contrast is useful in evaluating the induction and characteristics of liver cancer, determining appropriate size of liver cancer for testing, and confirming therapeutic response.


Polymer ◽  
2020 ◽  
Vol 202 ◽  
pp. 122628
Author(s):  
Cristofaro Timpano ◽  
Hossein Abdoli ◽  
Siu Ning Leung ◽  
Garrett W. Melenka

Pharmaceutics ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1488
Author(s):  
Sebastian Bollmann ◽  
Peter Kleinebudde

In silico tools which predict the dissolution of pharmaceutical dosage forms using virtual matrices can be validated with virtual matrices based on X-ray micro-computed tomography images of real pharmaceutical formulations. Final processed images of 3 different tablet batches were used to check the performance of the in silico tool F-CAD. The goal of this work was to prove the performance of the software by comparing the predicted dissolution profiles to the experimental ones and to check the feasibility and application of the validation concept for in silico tools. Both virtual matrices based on X-ray micro-computed tomography images and designed by the software itself were used. The resulting dissolution curves were compared regarding their similarity to the experimental curve. The kinetics were analysed with the Higuchi and Korsmeyers–Peppas plot. The whole validation concept as such was feasible and worked well. It was possible to identify prediction errors of the software F-CAD and issues with the virtual tablets designed within the software.


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