Cargando…

Automated Identification of Coronary Arteries in Assisting Inexperienced Readers: Comparison between Two Commercial Vendors

Background: to assess the performance and speed of two commercially available advanced cardiac software packages in the automated identification of coronary vessels as an aiding tool for inexperienced readers. Methods: Hundred and sixty patients undergoing coronary CT angiography (CCTA) were prospec...

Descripción completa

Detalles Bibliográficos
Autores principales: De Santis, Domenico, Tremamunno, Giuseppe, Rucci, Carlotta, Polidori, Tiziano, Zerunian, Marta, Piccinni, Giulia, Pugliese, Luca, Masci, Benedetta, Ubaldi, Nicolò, Laghi, Andrea, Caruso, Damiano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9406865/
https://www.ncbi.nlm.nih.gov/pubmed/36010337
http://dx.doi.org/10.3390/diagnostics12081987
_version_ 1784774225707401216
author De Santis, Domenico
Tremamunno, Giuseppe
Rucci, Carlotta
Polidori, Tiziano
Zerunian, Marta
Piccinni, Giulia
Pugliese, Luca
Masci, Benedetta
Ubaldi, Nicolò
Laghi, Andrea
Caruso, Damiano
author_facet De Santis, Domenico
Tremamunno, Giuseppe
Rucci, Carlotta
Polidori, Tiziano
Zerunian, Marta
Piccinni, Giulia
Pugliese, Luca
Masci, Benedetta
Ubaldi, Nicolò
Laghi, Andrea
Caruso, Damiano
author_sort De Santis, Domenico
collection PubMed
description Background: to assess the performance and speed of two commercially available advanced cardiac software packages in the automated identification of coronary vessels as an aiding tool for inexperienced readers. Methods: Hundred and sixty patients undergoing coronary CT angiography (CCTA) were prospectively enrolled from February until September 2021 and randomized in two groups, each one composed by 80 patients. Patients in group 1 were scanned on Revolution EVO CT Scanner (GE Healthcare), while patients in group 2 had the CCTA performed on Brilliance iCT (Philips Healthcare); each examination was evaluated on the respective vendor proprietary advanced cardiac software (software 1 and 2, respectively). Two inexperienced readers in cardiac imaging verified the software performance in the automated identification of the three major coronary vessels: (RCA, LCx, and LAD) and in the number of identified coronary segments. Time of analysis was also recorded. Results: software 1 correctly and automatically nominated 202/240 (84.2%) of the three main coronary vessels, while software 2 correctly identified 191/240 (79.6%) (p = 0.191). Software 1 achieved greater performances in recognizing the LCx (81.2% versus 67.5%; p = 0.048), while no differences have been reported in detecting the RCA (p = 0.679), and the LAD (p = 0.618). On a per-segment analysis, software 1 outperformed software 2, automatically detecting 942/1062 (88.7%) coronary segments, while software 2 detected 797/1078 (73.9%) (p < 0.001). Average reconstruction and detection time was of 13.8 s for software 1 and 21.9 s for software 2 (p < 0.001). Conclusions: automated cardiac software packages are a reliable and time-saving tool for inexperienced reader. Software 1 outperforms software 2 and might therefore better assist inexperienced CCTA readers in automated identification of the three main vessels and coronaries segments, with a consistent time saving of the reading session.
format Online
Article
Text
id pubmed-9406865
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-94068652022-08-26 Automated Identification of Coronary Arteries in Assisting Inexperienced Readers: Comparison between Two Commercial Vendors De Santis, Domenico Tremamunno, Giuseppe Rucci, Carlotta Polidori, Tiziano Zerunian, Marta Piccinni, Giulia Pugliese, Luca Masci, Benedetta Ubaldi, Nicolò Laghi, Andrea Caruso, Damiano Diagnostics (Basel) Article Background: to assess the performance and speed of two commercially available advanced cardiac software packages in the automated identification of coronary vessels as an aiding tool for inexperienced readers. Methods: Hundred and sixty patients undergoing coronary CT angiography (CCTA) were prospectively enrolled from February until September 2021 and randomized in two groups, each one composed by 80 patients. Patients in group 1 were scanned on Revolution EVO CT Scanner (GE Healthcare), while patients in group 2 had the CCTA performed on Brilliance iCT (Philips Healthcare); each examination was evaluated on the respective vendor proprietary advanced cardiac software (software 1 and 2, respectively). Two inexperienced readers in cardiac imaging verified the software performance in the automated identification of the three major coronary vessels: (RCA, LCx, and LAD) and in the number of identified coronary segments. Time of analysis was also recorded. Results: software 1 correctly and automatically nominated 202/240 (84.2%) of the three main coronary vessels, while software 2 correctly identified 191/240 (79.6%) (p = 0.191). Software 1 achieved greater performances in recognizing the LCx (81.2% versus 67.5%; p = 0.048), while no differences have been reported in detecting the RCA (p = 0.679), and the LAD (p = 0.618). On a per-segment analysis, software 1 outperformed software 2, automatically detecting 942/1062 (88.7%) coronary segments, while software 2 detected 797/1078 (73.9%) (p < 0.001). Average reconstruction and detection time was of 13.8 s for software 1 and 21.9 s for software 2 (p < 0.001). Conclusions: automated cardiac software packages are a reliable and time-saving tool for inexperienced reader. Software 1 outperforms software 2 and might therefore better assist inexperienced CCTA readers in automated identification of the three main vessels and coronaries segments, with a consistent time saving of the reading session. MDPI 2022-08-16 /pmc/articles/PMC9406865/ /pubmed/36010337 http://dx.doi.org/10.3390/diagnostics12081987 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
De Santis, Domenico
Tremamunno, Giuseppe
Rucci, Carlotta
Polidori, Tiziano
Zerunian, Marta
Piccinni, Giulia
Pugliese, Luca
Masci, Benedetta
Ubaldi, Nicolò
Laghi, Andrea
Caruso, Damiano
Automated Identification of Coronary Arteries in Assisting Inexperienced Readers: Comparison between Two Commercial Vendors
title Automated Identification of Coronary Arteries in Assisting Inexperienced Readers: Comparison between Two Commercial Vendors
title_full Automated Identification of Coronary Arteries in Assisting Inexperienced Readers: Comparison between Two Commercial Vendors
title_fullStr Automated Identification of Coronary Arteries in Assisting Inexperienced Readers: Comparison between Two Commercial Vendors
title_full_unstemmed Automated Identification of Coronary Arteries in Assisting Inexperienced Readers: Comparison between Two Commercial Vendors
title_short Automated Identification of Coronary Arteries in Assisting Inexperienced Readers: Comparison between Two Commercial Vendors
title_sort automated identification of coronary arteries in assisting inexperienced readers: comparison between two commercial vendors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9406865/
https://www.ncbi.nlm.nih.gov/pubmed/36010337
http://dx.doi.org/10.3390/diagnostics12081987
work_keys_str_mv AT desantisdomenico automatedidentificationofcoronaryarteriesinassistinginexperiencedreaderscomparisonbetweentwocommercialvendors
AT tremamunnogiuseppe automatedidentificationofcoronaryarteriesinassistinginexperiencedreaderscomparisonbetweentwocommercialvendors
AT ruccicarlotta automatedidentificationofcoronaryarteriesinassistinginexperiencedreaderscomparisonbetweentwocommercialvendors
AT polidoritiziano automatedidentificationofcoronaryarteriesinassistinginexperiencedreaderscomparisonbetweentwocommercialvendors
AT zerunianmarta automatedidentificationofcoronaryarteriesinassistinginexperiencedreaderscomparisonbetweentwocommercialvendors
AT piccinnigiulia automatedidentificationofcoronaryarteriesinassistinginexperiencedreaderscomparisonbetweentwocommercialvendors
AT puglieseluca automatedidentificationofcoronaryarteriesinassistinginexperiencedreaderscomparisonbetweentwocommercialvendors
AT mascibenedetta automatedidentificationofcoronaryarteriesinassistinginexperiencedreaderscomparisonbetweentwocommercialvendors
AT ubaldinicolo automatedidentificationofcoronaryarteriesinassistinginexperiencedreaderscomparisonbetweentwocommercialvendors
AT laghiandrea automatedidentificationofcoronaryarteriesinassistinginexperiencedreaderscomparisonbetweentwocommercialvendors
AT carusodamiano automatedidentificationofcoronaryarteriesinassistinginexperiencedreaderscomparisonbetweentwocommercialvendors