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RSNA 2004 > Optimizing the Characterization of Angiogenesis during ...
 
Scientific Papers
  CODE: SSE06-01
  SESSION: Ultrasound (Ablation, Angiognesis)
  Optimizing the Characterization of Angiogenesis during Tumor Development Using a Perfusion Software Associated with an Ultrasound Contrast Agent

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PARTICIPANTS
Presenter
Valerie Rouffiac PhD
Abstract Co-Author
Jean Sebastien Duret MD
Paule Opolon MD
Pierre Peronneau PhD
Alain Roche MD
Nathalie Lassau MD
- Author stated no financial disclosure

- Disclosure information unavailable
  DATE: Monday, November 29 2004
  START TIME: 03:00 PM
  END TIME: 03:10 PM
  LOCATION: E353A

 PURPOSE
 
The objective was to optimize the detection of angiogenesis and follow-up using high frequency ultrasonography with perfusion software allowing contrast uptake quantification after injection of an ultrasound contrast agent.
  
 METHOD AND MATERIALS
 
Twenty B16F10 melanoma, xenografted onto nude mice, were examined 3 times a week over 23 days (D). Investigations were conducted with an Aplio sonograph (Toshiba®) equipped with a 9 MHz linear probe allowing the use of a perfusion software (Vascular Recognition Imaging, VRI) working on the harmonic imaging principle. Sonograph settings remained unchanged over time. The protocol was as follows : 1- in B mode : detection of tumor dimensions ; 2- In VRI mode after the injection of Sonovue (Bracco®), maximum contrast uptake, expressed in a grey scale, and the time to reach it, were quantified inside a region of interest in the largest cross-sectional area of the tumor . This time was computed by modeling the contrast uptake curve by a sigmoid equation. Tumors were resected at D23, oriented as they were in the animal and were sliced cross-sectionally in the same area studied with VRI. Histological sections were compared to VRI scans for correlation.
  
 RESULTS
 
The tumor volume grew from 6.4 to 2234 mm³ between 7 to 23 days after xenografting of tumor cells. Concerning VRI parameters : 1- contrast uptake was constant and maximal between D9 and D17 and a rapid 65 % decline occurred between D17 and D23. This parameter was significantly correlated with the tumor volume (R2=0.85, p<0.001) ; 2- Contrast uptake started immediately after Sonovue injection (time < 2 s) and was maximal at 11.2 s at D9 and 52.5 s at D23. Vascularized zones were identified in the same locations on the sonographic and histological scans.
  
 CONCLUSIONS
 
Sonovue associated with Vascular Recognition Imaging is a powerful tool for the characterization of vascularization during tumor development with objective and quantitative parameters. The activity of anti-tumor treatments could be evaluated early and functionally based on tumor contrast uptake.
  
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