P.46 Assessment of Intraplaque Hemorrhage by Photoacoustics Imaging (PAI): First in-vivo Human Validation Study

Aim: To validate a photoacoustic imaging (PAI) system, for the identification of intraplaque hemorrhage, comparing it with MRI and histology (gold standard). Methods: 25 patients with carotid stenosis >70% and clinical indication to tromboendoarterectomy were recruited. Angio-MRI for intrapl...

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Main Authors: Rosa Maria Bruno, Yuki Imaizumi, Hasan Obeid, Michael Jaeger, Pierre Julia, Patrick Bruneval, David Calvet
Format: Article
Language:English
Published: Atlantis Press 2020-12-01
Series:Artery Research
Subjects:
Online Access:https://www.atlantis-press.com/article/125950079/view
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spelling doaj-0422ddedcbdf4a6b958afc8823f080262021-02-01T15:05:24ZengAtlantis PressArtery Research 1876-44012020-12-0126Supplement 110.2991/artres.k.201209.058P.46 Assessment of Intraplaque Hemorrhage by Photoacoustics Imaging (PAI): First in-vivo Human Validation StudyRosa Maria BrunoYuki ImaizumiHasan ObeidMichael JaegerPierre JuliaPatrick BrunevalDavid CalvetAim: To validate a photoacoustic imaging (PAI) system, for the identification of intraplaque hemorrhage, comparing it with MRI and histology (gold standard). Methods: 25 patients with carotid stenosis >70% and clinical indication to tromboendoarterectomy were recruited. Angio-MRI for intraplaque hemorrhage assessment (Cube sequence) was performed. PAI clips (5 seconds, Frame rate 1000/sec, 3 to 15 per patient) were acquired. Each clip was scored for the presence of PAI signal by means of an integrated scoring system (semiquantitative, from 0 to 12). Semiquantitative grading scales were used to assess plaque histological features of hemorrhage and vulnerability. Results: 18 patients had no missing MRI, PAI and histology data and were included in this analysis. Mean age was 73 ± 8 years, 60% men, 80% Caucasians, 92% hypertensives, 60% with a previous stroke. At histology, only 3 plaques out of 21 showed no signs of intraplaque hemorrhage, 4 showed small hemorrhage, while 14 (67%) showed large hemorrhages. PAI score (best cut-off ≥ 4) correctly classified 14 out of 18 patients (Sensitivity = 73.3%, specificity = 100%, AUC = 0.867). MRI performance was substantially similar, with 12 patients correctly classified (sensitivity = 60%, specificity = 100%, AUC = 0.800), with a non-significant difference in AUC compared to PAI (p = 0.420). Conclusions: In this first in-vivo human study, PAI is able to identify histological intraplaque hemorrhage with an excellent specificity and acceptable sensitivity, equivalent to MRI. The very high specificity, with a low number of false positives, make PAI a good candidate for evaluation of plaques prior to surgery to i.e. reinforce the decision to perform surgery.https://www.atlantis-press.com/article/125950079/viewCarotid-plaquephotoacousticvalidation
collection DOAJ
language English
format Article
sources DOAJ
author Rosa Maria Bruno
Yuki Imaizumi
Hasan Obeid
Michael Jaeger
Pierre Julia
Patrick Bruneval
David Calvet
spellingShingle Rosa Maria Bruno
Yuki Imaizumi
Hasan Obeid
Michael Jaeger
Pierre Julia
Patrick Bruneval
David Calvet
P.46 Assessment of Intraplaque Hemorrhage by Photoacoustics Imaging (PAI): First in-vivo Human Validation Study
Artery Research
Carotid-plaque
photoacoustic
validation
author_facet Rosa Maria Bruno
Yuki Imaizumi
Hasan Obeid
Michael Jaeger
Pierre Julia
Patrick Bruneval
David Calvet
author_sort Rosa Maria Bruno
title P.46 Assessment of Intraplaque Hemorrhage by Photoacoustics Imaging (PAI): First in-vivo Human Validation Study
title_short P.46 Assessment of Intraplaque Hemorrhage by Photoacoustics Imaging (PAI): First in-vivo Human Validation Study
title_full P.46 Assessment of Intraplaque Hemorrhage by Photoacoustics Imaging (PAI): First in-vivo Human Validation Study
title_fullStr P.46 Assessment of Intraplaque Hemorrhage by Photoacoustics Imaging (PAI): First in-vivo Human Validation Study
title_full_unstemmed P.46 Assessment of Intraplaque Hemorrhage by Photoacoustics Imaging (PAI): First in-vivo Human Validation Study
title_sort p.46 assessment of intraplaque hemorrhage by photoacoustics imaging (pai): first in-vivo human validation study
publisher Atlantis Press
series Artery Research
issn 1876-4401
publishDate 2020-12-01
description Aim: To validate a photoacoustic imaging (PAI) system, for the identification of intraplaque hemorrhage, comparing it with MRI and histology (gold standard). Methods: 25 patients with carotid stenosis >70% and clinical indication to tromboendoarterectomy were recruited. Angio-MRI for intraplaque hemorrhage assessment (Cube sequence) was performed. PAI clips (5 seconds, Frame rate 1000/sec, 3 to 15 per patient) were acquired. Each clip was scored for the presence of PAI signal by means of an integrated scoring system (semiquantitative, from 0 to 12). Semiquantitative grading scales were used to assess plaque histological features of hemorrhage and vulnerability. Results: 18 patients had no missing MRI, PAI and histology data and were included in this analysis. Mean age was 73 ± 8 years, 60% men, 80% Caucasians, 92% hypertensives, 60% with a previous stroke. At histology, only 3 plaques out of 21 showed no signs of intraplaque hemorrhage, 4 showed small hemorrhage, while 14 (67%) showed large hemorrhages. PAI score (best cut-off ≥ 4) correctly classified 14 out of 18 patients (Sensitivity = 73.3%, specificity = 100%, AUC = 0.867). MRI performance was substantially similar, with 12 patients correctly classified (sensitivity = 60%, specificity = 100%, AUC = 0.800), with a non-significant difference in AUC compared to PAI (p = 0.420). Conclusions: In this first in-vivo human study, PAI is able to identify histological intraplaque hemorrhage with an excellent specificity and acceptable sensitivity, equivalent to MRI. The very high specificity, with a low number of false positives, make PAI a good candidate for evaluation of plaques prior to surgery to i.e. reinforce the decision to perform surgery.
topic Carotid-plaque
photoacoustic
validation
url https://www.atlantis-press.com/article/125950079/view
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