Role of Advanced Hemodynamic Ultrasound Evaluation in the Differential Diagnosis of Middle Cerebral Artery Stenosis: Introducing Morphological Criteria.

Advanced hemodynamic ultrasound evaluation Intracranial stenosis MicroV Morphology Transcranial color-coded Doppler ultrasound Velocimetry

Journal

Ultrasound in medicine & biology
ISSN: 1879-291X
Titre abrégé: Ultrasound Med Biol
Pays: England
ID NLM: 0410553

Informations de publication

Date de publication:
11 2023
Historique:
received: 24 11 2022
revised: 28 06 2023
accepted: 09 07 2023
medline: 19 9 2023
pubmed: 8 8 2023
entrez: 7 8 2023
Statut: ppublish

Résumé

The aim of the work described here was to determine the possible impact of the new technique advanced hemodynamic ultrasound evaluation (AHUSE) in identification of severe intracranial stenosis. Transcranial Doppler (TCD) and transcranial color-coded Doppler (TCCD) provide reliable velocimetric data, the indirect analysis of which allows us to obtain information on the patency of vessels and assumed stenosis range. However, very tight stenoses (>95%) cannot be detected with velocimetric criteria because of spectrum drops and the absence of high velocities, so that the right curve of the Spencer equation cannot be solved. Likewise, high velocities are not detected when analyzing morphologically long stenosis. Furthermore, the current classifications based on velocimetric criteria do not provide any categorization on stenoses with multiple acceleration points (MAPs). With this Technical Note we aim to introduce, in addition to velocimetric criteria, more morphological criteria based on TCCD with the algorithm of AHUSE to optimize the characterization of intracranial stenosis (IS). TCCD-AHUSE relies on intensity-based next-generation techniques and can be used to identify IS with MAPs and simultaneously perform a morphological assessment of the stenosis length. We introduce a new technical ultrasound (U) approach that we tested in a sample of four different types of stenoses combining velocimetric data and AHUSE using Esaote Microvascularization (MicroV) technique to the M1 tract of the middle cerebral artery (MCA). The authors believe that a multiparametric evaluation is more sensitive and supports the clinician by introducing the morphological concept, not just the velocimetric concept, to differentiate the IS pattern of MCA. The potential for developing a diagnostic/prognostic algorithm is discussed.

Identifiants

pubmed: 37550172
pii: S0301-5629(23)00221-1
doi: 10.1016/j.ultrasmedbio.2023.07.004
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2428-2435

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Conflict of interest The authors declare no competing interests.

Auteurs

Giovanni Malferrari (G)

Stroke Unit and Neurology Unit, Azienda Unità Sanitaria Locale-IRCCS, Reggio Emilia, Italy. Electronic address: giovanni.malferrari58@gmail.com.

Nicola Merli (N)

Department of Neuroscience and Rehabilitation, University of Ferrara, Italy.

Vincenzo Inchingolo (V)

Neurology Unit, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy.

Antonio Siniscalchi (A)

Department of Neurology and Stroke Unit, Annunziata Hospital, Cosenza, Italy.

Domenico Laterza (D)

Neurology and Stroke Unit, Nuovo Ospedale degli Infermi, Biella (BI), Italy.

Daniela Monaco (D)

Department of Emergency Neurology and Stroke Unit, "S. Spirito" Hospital, Pescara, Italy.

Giorgia Arnone (G)

IRCCS Istituto delle Scienze Neurologiche di Bologna, UOC Neurologia e Rete Stroke Metropolitana, Ospedale Maggiore, Bologna, Italy.

Andrea Zini (A)

IRCCS Istituto delle Scienze Neurologiche di Bologna, UOC Neurologia e Rete Stroke Metropolitana, Ospedale Maggiore, Bologna, Italy.

Francesco Prada (F)

Acoustic Neuroimaging and Therapy Lab, Fondazione IRCCS Istituto Neurologico C. Besta, Milano, Italy; Department of Neurological Surgery, University of Virginia, Charlottesville, VA, USA; Focused Ultrasound Foundation, Charlottesville, VA, USA.

Cristiano Azzini (C)

Stroke Unit and Neurology Unit, S. Anna University Hospital, Ferrara Italy.

Maura Pugliatti (M)

Department of Neuroscience and Rehabilitation, University of Ferrara, Italy; S. Anna University Hospital, Ferrara Italy.

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