Artery Research

Volume 26, Issue Supplement 1, December 2020, Pages S73 - S73

P.50 Radial Artery Phenotyping in Fibromuscular Dysplasia Through Ultra-High Frequency Ultrasound: A Radiomic Approach

Authors
Federica Poli1, Rosa Maria Bruno1, 2, *, Francesco Faita3, Hakim Khettab2, Michel Azizi4, Saverio Vitali5, Mirco Cosottini1, 5, Davide Caramella1, 5, Lorenzo Ghiadoni1, Stefano Taddei1, 5, Pierre Boutouyrie6, Alexandre Persu7, Xavier Jeunemaitre4, Aurélien Lorthioir6
1Università Di Pisa
2INSERM, U970, Paris Cardiovascular Research Center–PARCC
3Istituto di Fisiologia Clinica, CNR Pisa
4Université Paris-Descartes
5Azienda Ospedaliero Universitaria Pisana
6APHP, Hôpital Européen Georges Pompidou
7Université Catholique de Louvain
*Corresponding author. Email: rosam.bruno@gmail.com
Corresponding Author
Rosa Maria Bruno
Available Online 31 December 2020.
DOI
10.2991/artres.k.201209.062How to use a DOI?
Abstract

Rationale and Aim: This study is aimed at identifying possible patterns of vascular wall disarray and remodeling in radial arteries of patients with fibromuscular dysplasia (FMD), by means of ultrahigh frequency ultrasound (UHFUS).

Methods: UHFUS scans of the radial arteries and of 30 FMD patients and 30 healthy controls were obtained by VevoMD (70 MHz probe, FUJIFILM, VisualSonics, Toronto, Canada). 10 end-diastolic frames for each subject were analyzed. 74 radiomic features and 4 engineered parameters were extracted: intima-media thickness (IMT) and adventitia thickness (AT), an adjunctive acoustic interface for each layer (IMT and AT triple signal). The extracted parameters were used to train classification models, using Support Vector Machine Linear (SVM), K-Nearest Neighbors (KNN), Logistic Regression, Linear Discriminant Analysis (LDA). The models were then tested on an independent validation population (38 FMD patients and 28 healthy subjects).

Results: IMT (185 ± 46 vs 168 ± 37, p =) and AT (104 ± 34 vs 96 ± 35, p = 0.004) were significantly higher in FMD than in controls. IMT and AT triple signal were also more frequent in FMD than in control images (p < for both). The most accurate classification models were LDA (sensitivity = 0.67, specificity = 0.76, accuracy = 0.71, AUC = 0.71) and Logistic Regression (sensitivity = 0.71, specificity = 0.72, accuracy = 0.71, AUC = 0.71). The models showed and accuracy of about 70% when tested on the validation population.

Conclusions: Wall ultrastructure of radial arteries of FMD patients is extensively altered: IMT and AT are thickened and the first and/or second layer of the arterial wall is splitted, showing a triple signal feature. Radiomic descriptors combined with engineered parameters allow to distinguish between radial images from FMD patients and controls with a 70% accuracy.

Copyright
© 2020 Association for Research into Arterial Structure and Physiology. Publishing services by Atlantis Press International B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Journal
Artery Research
Volume-Issue
26 - Supplement 1
Pages
S73 - S73
Publication Date
2020/12/31
ISSN (Online)
1876-4401
ISSN (Print)
1872-9312
DOI
10.2991/artres.k.201209.062How to use a DOI?
Copyright
© 2020 Association for Research into Arterial Structure and Physiology. Publishing services by Atlantis Press International B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Federica Poli
AU  - Rosa Maria Bruno
AU  - Francesco Faita
AU  - Hakim Khettab
AU  - Michel Azizi
AU  - Saverio Vitali
AU  - Mirco Cosottini
AU  - Davide Caramella
AU  - Lorenzo Ghiadoni
AU  - Stefano Taddei
AU  - Pierre Boutouyrie
AU  - Alexandre Persu
AU  - Xavier Jeunemaitre
AU  - Aurélien Lorthioir
PY  - 2020
DA  - 2020/12/31
TI  - P.50 Radial Artery Phenotyping in Fibromuscular Dysplasia Through Ultra-High Frequency Ultrasound: A Radiomic Approach
JO  - Artery Research
SP  - S73
EP  - S73
VL  - 26
IS  - Supplement 1
SN  - 1876-4401
UR  - https://doi.org/10.2991/artres.k.201209.062
DO  - 10.2991/artres.k.201209.062
ID  - Poli2020
ER  -