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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8621603/ https://www.ncbi.nlm.nih.gov/pubmed/34829384 http://dx.doi.org/10.3390/diagnostics11112033 |
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author | Granata, Vincenza Morana, Giovanni D’Onofrio, Mirko Fusco, Roberta Coppola, Francesca Grassi, Francesca Cappabianca, Salvatore Reginelli, Alfonso Maggialetti, Nicola Buccicardi, Duccio Barile, Antonio Rengo, Marco Bortolotto, Chandra Urraro, Fabrizio La Casella, Giorgia Viola Montella, Marco Ciaghi, Eleonora Bellifemine, Francesco De Muzio, Federica Danti, Ginevra Grazzini, Giulia Barresi, Carmelo Brunese, Luca Neri, Emanuele Grassi, Roberto Miele, Vittorio Faggioni, Lorenzo |
author_facet | Granata, Vincenza Morana, Giovanni D’Onofrio, Mirko Fusco, Roberta Coppola, Francesca Grassi, Francesca Cappabianca, Salvatore Reginelli, Alfonso Maggialetti, Nicola Buccicardi, Duccio Barile, Antonio Rengo, Marco Bortolotto, Chandra Urraro, Fabrizio La Casella, Giorgia Viola Montella, Marco Ciaghi, Eleonora Bellifemine, Francesco De Muzio, Federica Danti, Ginevra Grazzini, Giulia Barresi, Carmelo Brunese, Luca Neri, Emanuele Grassi, Roberto Miele, Vittorio Faggioni, Lorenzo |
author_sort | Granata, Vincenza |
collection | PubMed |
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 | Online Article Text |
id | pubmed-8621603 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86216032021-11-27 Structured Reporting of Computed Tomography and Magnetic Resonance in the Staging of Pancreatic Adenocarcinoma: A Delphi Consensus Proposal Granata, Vincenza Morana, Giovanni D’Onofrio, Mirko Fusco, Roberta Coppola, Francesca Grassi, Francesca Cappabianca, Salvatore Reginelli, Alfonso Maggialetti, Nicola Buccicardi, Duccio Barile, Antonio Rengo, Marco Bortolotto, Chandra Urraro, Fabrizio La Casella, Giorgia Viola Montella, Marco Ciaghi, Eleonora Bellifemine, Francesco De Muzio, Federica Danti, Ginevra Grazzini, Giulia Barresi, Carmelo Brunese, Luca Neri, Emanuele Grassi, Roberto Miele, Vittorio Faggioni, Lorenzo Diagnostics (Basel) Article 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. MDPI 2021-11-03 /pmc/articles/PMC8621603/ /pubmed/34829384 http://dx.doi.org/10.3390/diagnostics11112033 Text en © 2021 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 Granata, Vincenza Morana, Giovanni D’Onofrio, Mirko Fusco, Roberta Coppola, Francesca Grassi, Francesca Cappabianca, Salvatore Reginelli, Alfonso Maggialetti, Nicola Buccicardi, Duccio Barile, Antonio Rengo, Marco Bortolotto, Chandra Urraro, Fabrizio La Casella, Giorgia Viola Montella, Marco Ciaghi, Eleonora Bellifemine, Francesco De Muzio, Federica Danti, Ginevra Grazzini, Giulia Barresi, Carmelo Brunese, Luca Neri, Emanuele Grassi, Roberto Miele, Vittorio Faggioni, Lorenzo Structured Reporting of Computed Tomography and Magnetic Resonance in the Staging of Pancreatic Adenocarcinoma: A Delphi Consensus Proposal |
title | 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_short | 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8621603/ https://www.ncbi.nlm.nih.gov/pubmed/34829384 http://dx.doi.org/10.3390/diagnostics11112033 |
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