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Quantitative evaluation of cerebral vascular permeability using multi-slice dynamic CT.

K Nambu¹, T Nariai, T Terada

¹Medical Engineering Research & Development Center, Medical Systems Company, TOSHIBA Corporation, Tochigi, Japan. nambu@mel.nasu.toshiba.co.jp

Acta Neurochirurgica. Supplement

|February 3, 2004

Summary

We created new software to measure brain fluid and vessel volumes using CT scans. This method helps distinguish abnormal areas in brain tumors, aiding diagnosis.

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Area of Science:

Neuroradiology
Medical Imaging
Cerebrovascular Physiology

Background:

Assessing cerebral capillary permeability and fluid spaces is crucial for diagnosing brain conditions.
Current methods may lack the resolution or speed for detailed regional analysis.
Dynamic CT offers potential for quantitative assessment of the blood-brain barrier.

Purpose of the Study:

To develop and validate a novel software tool for quantifying regional cerebral blood-brain barrier (BBB) permeability, extracellular fluid space volume, and vascular bed volume.
To evaluate the feasibility and diagnostic utility of this method in patients with brain tumors.

Main Methods:

Development of a multi-slice dynamic CT-based software named "BBB study".
Utilized iodinated contrast medium for quantitative analysis.

Related Experiment Videos

Applied the software to four cases of brain tumor for evaluation.

Main Results:

The developed software, "BBB study", successfully measured regional permeability, extracellular fluid space, and vascular bed volume.
Examination time was approximately 20 minutes.
Generated functional maps were of sufficient quality to identify areas of irregular permeability enhancement in brain tumors.

Conclusions:

The novel "BBB study" software provides a feasible and efficient method for assessing regional cerebral vascular and fluid space parameters using dynamic CT.
The technique demonstrates potential for differentiating abnormal vascular characteristics in brain tumors.
This quantitative approach may enhance the diagnostic capabilities in neuro-oncology.