Pre-TAVI aortic annulus sizing: comparison between manual and semi-automated new generation software measurements in operators with different experience.


Journal

The British journal of radiology
ISSN: 1748-880X
Titre abrégé: Br J Radiol
Pays: England
ID NLM: 0373125

Informations de publication

Date de publication:
Sep 2023
Historique:
medline: 21 8 2023
pubmed: 14 7 2023
entrez: 14 7 2023
Statut: ppublish

Résumé

Aim of the study is to compare manual and semi-automatic measurements for aortic annulus assessment among different operators. Eighty patients who underwent TAVI were retrospectively enrolled. The measurements manually performed by an experienced reader for aortic annulus (minimum and maximum diameters, perimeter, area), annulus-to-coronary ostia distance and time needed for the whole evaluation, were collected. The same operator (observer 1) and two less experienced readers (observer 2 and 3, with >5 years and 1 year of experience, respectively) assessed the same measurements using a semi-automatic software. Differences between manual and semi-automatic measurements, reading time and suggested valves size derived by CT were compared. Very good correlations were found between manual and software-aided measurements for aortic annulus area and perimeter in comparison with standard measurements for the three readers (ICC range 0.81-0.98). Good correlations were found for the distance with coronary ostia(0.75-0.79). The same area-derived prosthesis size for manual and semi-automatic measurements was selected in 96% of cases for observer 1; very good correlations were also found for observer 2 and 3 (ICC = 0.89 and 0.88, respectively). Using semi-automatic measurements, the mean time needed for CT images was significantly lower for observers 1 and 2 (1.50 and 1.72versus 3.14 min), respectively. Pre-TAVI CT using semi-automatic software allows accurate and reproducible measurements, reducing reconstruction time up to 50% and is reliable even for operators with different experience. The use of semi-automatic dedicated software for CT in TAVI planning is reliable even for operators without long time experience and allows accurate and reproducible measurements improving pre-TAVI workflow.

Identifiants

pubmed: 37449675
doi: 10.1259/bjr.20220733
pmc: PMC10461289
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

20220733

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Auteurs

Andrea Daniele Annoni (AD)

Centro Cardiologico Monzino, IRCCS, Milan, Italy.

Maria Elisabetta Mancini (ME)

Centro Cardiologico Monzino, IRCCS, Milan, Italy.

Eleonora Carlicchi (E)

Centro Cardiologico Monzino, IRCCS, University of Milan, Milan, Italy.
ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.

Marta Belmonte (M)

Centro Cardiologico Monzino, IRCCS, Milan, Italy.
Cardiovascular Center Aalst, OLV-Clinic, Aalst, Belgium.

Alberto Formenti (A)

Centro Cardiologico Monzino, IRCCS, Milan, Italy.

Saima Mushtaq (S)

Centro Cardiologico Monzino, IRCCS, Milan, Italy.

Francesca Marchetti (F)

Centro Cardiologico Monzino, IRCCS, Milan, Italy.

Francesco Cilia (F)

Centro Cardiologico Monzino, IRCCS, Milan, Italy.

Andrea Baggiano (A)

Centro Cardiologico Monzino, IRCCS, Milan, Italy.

Laura Fusini (L)

Centro Cardiologico Monzino, IRCCS, Milan, Italy.

Alice Bonomi (A)

Centro Cardiologico Monzino, IRCCS, Milan, Italy.

Marco Gennari (M)

Centro Cardiologico Monzino, IRCCS, Milan, Italy.

Piero Montorsi (P)

Centro Cardiologico Monzino, IRCCS, Milan, Italy.
Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy.

Mauro Pepi (M)

Centro Cardiologico Monzino, IRCCS, Milan, Italy.

Gianluca Pontone (G)

Centro Cardiologico Monzino, IRCCS, Milan, Italy.
Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy.

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Classifications MeSH