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P16 Assessment of Plaque Vulnerability Using a Novel Technique: Multi-spectral Photoacoustic Imaging (CVENT-PAI)

Abstract

Background

Identification of intraplaque haemorrhage using magnetic resonance imaging (MRI) is expensive, technically demanding and sometimes uncomfortable. Photoacoustic imaging (PAI) is a new non-invasive technique combining multi-wavelength infrared laser light and ultrasound (US) imaging, able to discriminate blood and other components in the tissues. The measurement by the multi-spectral PAI is likely to be more applicable and therefore could be complementary to MRI.

Objectives

Validate a portable multimodal and multi-wavelength PAI system, for the identification of intraplaque haemorrhage and compare with MRI.

Materials and Methods

Patients underwent carotid MRI, and US. Photoacoustic acquisitions are performed and analysed a posteriori blindly of the status of the subjects and results of MRI/US. All patients gave written informed consent. Histology of plaque will be performed as gold standard.

Results

We included 15 patients (71 ± 5 years old) with carotid stenosis grade of >70% (NASCET). PAI imaging was feasible in all patients. On raw images, only clutter signal can be observed. After adequate post processing, carotid wall with the intima media and plaques were clearly visible with PAI. PAI signal from the lumen can be observed, also strong PAI signals are visible inside the plaque in a reproducible manner. Correspondence between MRI and PAI will be analysed later.

Conclusion

The use of the PAI technique for carotid plaque assessment is feasible, and PAI signal are observed inside the plaque. Further analyses are needed to assess the reflected PAI signal inside the plaque, for haemorrhage detection in the future.

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Correspondence to Yuki Imaizumi.

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This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Imaizumi, Y., Obeid, H., Julia, P. et al. P16 Assessment of Plaque Vulnerability Using a Novel Technique: Multi-spectral Photoacoustic Imaging (CVENT-PAI). Artery Res 25 (Suppl 1), S59 (2019). https://doi.org/10.2991/artres.k.191224.050

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  • DOI: https://doi.org/10.2991/artres.k.191224.050