Structured Reporting of Computed Tomography and Magnetic Resonance in the Staging of Pancreatic Adenocarcinoma: A Delphi Consensus Proposal

Background: Structured reporting (SR) in radiology has been recognized recently by major scientific societies. This study aims to build structured computed tomography (CT) and magnetic resonance (MR)-based reports in pancreatic adenocarcinoma during the staging phase in order to improve communicatio...

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Autores principales: Vincenza Granata, Giovanni Morana, Mirko D'Onofrio, Roberta Fusco, Francesca Coppola, Francesca Grassi, Salvatore Cappabianca, Alfonso Reginelli, Nicola Maggialetti, Duccio Buccicardi, Antonio Barile, Marco Rengo, Chandra Bortolotto, Fabrizio Urraro, Giorgia Viola La Casella, Marco Montella, Eleonora Ciaghi, Francesco Bellifemine, Federica De Muzio, Ginevra Danti, Giulia Grazzini, Carmelo Barresi, Luca Brunese, Emanuele Neri, Roberto Grassi, Vittorio Miele, Lorenzo Faggioni
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Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/d5a1bb098ca243b6874e7b1493d5bfc4
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spelling oai:doaj.org-article:d5a1bb098ca243b6874e7b1493d5bfc42021-11-25T17:21:01ZStructured Reporting of Computed Tomography and Magnetic Resonance in the Staging of Pancreatic Adenocarcinoma: A Delphi Consensus Proposal10.3390/diagnostics111120332075-4418https://doaj.org/article/d5a1bb098ca243b6874e7b1493d5bfc42021-11-01T00:00:00Zhttps://www.mdpi.com/2075-4418/11/11/2033https://doaj.org/toc/2075-4418Background: Structured reporting (SR) in radiology has been recognized recently by major scientific societies. This study aims to build structured computed tomography (CT) and magnetic resonance (MR)-based reports in pancreatic adenocarcinoma during the staging phase in order to improve communication between the radiologist and members of multidisciplinary teams. Materials and Methods: A panel of expert radiologists, members of the Italian Society of Medical and Interventional Radiology, was established. A modified Delphi process was used to develop the CT-SR and MRI-SR, assessing a level of agreement for all report sections. Cronbach’s alpha (Cα) correlation coefficient was used to assess internal consistency for each section and to measure quality analysis according to the average inter-item correlation. Results: The final CT-SR version was built by including n = 16 items in the “Patient Clinical Data” section, n = 11 items in the “Clinical Evaluation” section, n = 7 items in the “Imaging Protocol” section, and n = 18 items in the “Report” section. Overall, 52 items were included in the final version of the CT-SR. The final MRI-SR version was built by including n = 16 items in the “Patient Clinical Data” section, n = 11 items in the “Clinical Evaluation” section, n = 8 items in the “Imaging Protocol” section, and n = 14 items in the “Report” section. Overall, 49 items were included in the final version of the MRI-SR. In the first round for CT-SR, all sections received more than a good rating. The overall mean score of the experts was 4.85. The Cα correlation coefficient was 0.85. In the second round, the overall mean score of the experts was 4.87, and the Cα correlation coefficient was 0.94. In the first round, for MRI-SR, all sections received more than a good rating. The overall mean score of the experts was 4.73. The Cα correlation coefficient was 0.82. In the second round, the overall mean score of the experts was 4.91, and the Cα correlation coefficient was 0.93. Conclusions: The CT-SR and MRI-SR are based on a multi-round consensus-building Delphi exercise derived from the multidisciplinary agreement of expert radiologists in order to obtain more appropriate communication tools for referring physicians.Vincenza GranataGiovanni MoranaMirko D'OnofrioRoberta FuscoFrancesca CoppolaFrancesca GrassiSalvatore CappabiancaAlfonso ReginelliNicola MaggialettiDuccio BuccicardiAntonio BarileMarco RengoChandra BortolottoFabrizio UrraroGiorgia Viola La CasellaMarco MontellaEleonora CiaghiFrancesco BellifemineFederica De MuzioGinevra DantiGiulia GrazziniCarmelo BarresiLuca BruneseEmanuele NeriRoberto GrassiVittorio MieleLorenzo FaggioniMDPI AGarticleradiology reportstructured reportpancreatic adenocarcinomacomputed tomographymagnetic resonance imagingMedicine (General)R5-920ENDiagnostics, Vol 11, Iss 2033, p 2033 (2021)
institution DOAJ
collection DOAJ
language EN
topic radiology report
structured report
pancreatic adenocarcinoma
computed tomography
magnetic resonance imaging
Medicine (General)
R5-920
spellingShingle radiology report
structured report
pancreatic adenocarcinoma
computed tomography
magnetic resonance imaging
Medicine (General)
R5-920
Vincenza Granata
Giovanni Morana
Mirko D'Onofrio
Roberta Fusco
Francesca Coppola
Francesca Grassi
Salvatore Cappabianca
Alfonso Reginelli
Nicola Maggialetti
Duccio Buccicardi
Antonio Barile
Marco Rengo
Chandra Bortolotto
Fabrizio Urraro
Giorgia Viola La Casella
Marco Montella
Eleonora Ciaghi
Francesco Bellifemine
Federica De Muzio
Ginevra Danti
Giulia Grazzini
Carmelo Barresi
Luca Brunese
Emanuele Neri
Roberto Grassi
Vittorio Miele
Lorenzo Faggioni
Structured Reporting of Computed Tomography and Magnetic Resonance in the Staging of Pancreatic Adenocarcinoma: A Delphi Consensus Proposal
description Background: Structured reporting (SR) in radiology has been recognized recently by major scientific societies. This study aims to build structured computed tomography (CT) and magnetic resonance (MR)-based reports in pancreatic adenocarcinoma during the staging phase in order to improve communication between the radiologist and members of multidisciplinary teams. Materials and Methods: A panel of expert radiologists, members of the Italian Society of Medical and Interventional Radiology, was established. A modified Delphi process was used to develop the CT-SR and MRI-SR, assessing a level of agreement for all report sections. Cronbach’s alpha (Cα) correlation coefficient was used to assess internal consistency for each section and to measure quality analysis according to the average inter-item correlation. Results: The final CT-SR version was built by including n = 16 items in the “Patient Clinical Data” section, n = 11 items in the “Clinical Evaluation” section, n = 7 items in the “Imaging Protocol” section, and n = 18 items in the “Report” section. Overall, 52 items were included in the final version of the CT-SR. The final MRI-SR version was built by including n = 16 items in the “Patient Clinical Data” section, n = 11 items in the “Clinical Evaluation” section, n = 8 items in the “Imaging Protocol” section, and n = 14 items in the “Report” section. Overall, 49 items were included in the final version of the MRI-SR. In the first round for CT-SR, all sections received more than a good rating. The overall mean score of the experts was 4.85. The Cα correlation coefficient was 0.85. In the second round, the overall mean score of the experts was 4.87, and the Cα correlation coefficient was 0.94. In the first round, for MRI-SR, all sections received more than a good rating. The overall mean score of the experts was 4.73. The Cα correlation coefficient was 0.82. In the second round, the overall mean score of the experts was 4.91, and the Cα correlation coefficient was 0.93. Conclusions: The CT-SR and MRI-SR are based on a multi-round consensus-building Delphi exercise derived from the multidisciplinary agreement of expert radiologists in order to obtain more appropriate communication tools for referring physicians.
format article
author Vincenza Granata
Giovanni Morana
Mirko D'Onofrio
Roberta Fusco
Francesca Coppola
Francesca Grassi
Salvatore Cappabianca
Alfonso Reginelli
Nicola Maggialetti
Duccio Buccicardi
Antonio Barile
Marco Rengo
Chandra Bortolotto
Fabrizio Urraro
Giorgia Viola La Casella
Marco Montella
Eleonora Ciaghi
Francesco Bellifemine
Federica De Muzio
Ginevra Danti
Giulia Grazzini
Carmelo Barresi
Luca Brunese
Emanuele Neri
Roberto Grassi
Vittorio Miele
Lorenzo Faggioni
author_facet Vincenza Granata
Giovanni Morana
Mirko D'Onofrio
Roberta Fusco
Francesca Coppola
Francesca Grassi
Salvatore Cappabianca
Alfonso Reginelli
Nicola Maggialetti
Duccio Buccicardi
Antonio Barile
Marco Rengo
Chandra Bortolotto
Fabrizio Urraro
Giorgia Viola La Casella
Marco Montella
Eleonora Ciaghi
Francesco Bellifemine
Federica De Muzio
Ginevra Danti
Giulia Grazzini
Carmelo Barresi
Luca Brunese
Emanuele Neri
Roberto Grassi
Vittorio Miele
Lorenzo Faggioni
author_sort Vincenza Granata
title Structured Reporting of Computed Tomography and Magnetic Resonance in the Staging of Pancreatic Adenocarcinoma: A Delphi Consensus Proposal
title_short Structured Reporting of Computed Tomography and Magnetic Resonance in the Staging of Pancreatic Adenocarcinoma: A Delphi Consensus Proposal
title_full Structured Reporting of Computed Tomography and Magnetic Resonance in the Staging of Pancreatic Adenocarcinoma: A Delphi Consensus Proposal
title_fullStr Structured Reporting of Computed Tomography and Magnetic Resonance in the Staging of Pancreatic Adenocarcinoma: A Delphi Consensus Proposal
title_full_unstemmed Structured Reporting of Computed Tomography and Magnetic Resonance in the Staging of Pancreatic Adenocarcinoma: A Delphi Consensus Proposal
title_sort structured reporting of computed tomography and magnetic resonance in the staging of pancreatic adenocarcinoma: a delphi consensus proposal
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/d5a1bb098ca243b6874e7b1493d5bfc4
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