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Computed Tomography Structured Reporting in the Staging of Lymphoma: A Delphi Consensus Proposal

Structured reporting (SR) in radiology is becoming increasingly necessary and has been recognized recently by major scientific societies. This study aims to build structured CT-based reports for lymphoma patients during the staging phase to improve communication between radiologists, members of mult...

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Autores principales: Granata, Vincenza, Pradella, Silvia, Cozzi, Diletta, Fusco, Roberta, Faggioni, Lorenzo, Coppola, Francesca, Grassi, Roberta, Maggialetti, Nicola, Buccicardi, Duccio, Lacasella, Giorgia Viola, Montella, Marco, Ciaghi, Eleonora, Bellifemine, Francesco, De Filippo, Massimo, Rengo, Marco, Bortolotto, Chandra, Prost, Roberto, Barresi, Carmelo, Cappabianca, Salvatore, Brunese, Luca, Neri, Emanuele, Grassi, Roberto, Miele, Vittorio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8432477/
https://www.ncbi.nlm.nih.gov/pubmed/34501455
http://dx.doi.org/10.3390/jcm10174007
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author Granata, Vincenza
Pradella, Silvia
Cozzi, Diletta
Fusco, Roberta
Faggioni, Lorenzo
Coppola, Francesca
Grassi, Roberta
Maggialetti, Nicola
Buccicardi, Duccio
Lacasella, Giorgia Viola
Montella, Marco
Ciaghi, Eleonora
Bellifemine, Francesco
De Filippo, Massimo
Rengo, Marco
Bortolotto, Chandra
Prost, Roberto
Barresi, Carmelo
Cappabianca, Salvatore
Brunese, Luca
Neri, Emanuele
Grassi, Roberto
Miele, Vittorio
author_facet Granata, Vincenza
Pradella, Silvia
Cozzi, Diletta
Fusco, Roberta
Faggioni, Lorenzo
Coppola, Francesca
Grassi, Roberta
Maggialetti, Nicola
Buccicardi, Duccio
Lacasella, Giorgia Viola
Montella, Marco
Ciaghi, Eleonora
Bellifemine, Francesco
De Filippo, Massimo
Rengo, Marco
Bortolotto, Chandra
Prost, Roberto
Barresi, Carmelo
Cappabianca, Salvatore
Brunese, Luca
Neri, Emanuele
Grassi, Roberto
Miele, Vittorio
author_sort Granata, Vincenza
collection PubMed
description Structured reporting (SR) in radiology is becoming increasingly necessary and has been recognized recently by major scientific societies. This study aims to build structured CT-based reports for lymphoma patients during the staging phase to improve communication between radiologists, members of multidisciplinary teams, and patients. A panel of expert radiologists, members of the Italian Society of Medical and Interventional Radiology (SIRM), was established. A modified Delphi process was used to develop the SR and to assess a level of agreement for all report sections. The 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. The final SR version was divided into four sections: (a) Patient Clinical Data, (b) Clinical Evaluation, (c) Imaging Protocol, and (d) Report, including n = 13 items in the “Patient Clinical Data” section, n = 8 items in the “Clinical Evaluation” section, n = 9 items in the “Imaging Protocol” section, and n = 32 items in the “Report” section. Overall, 62 items were included in the final version of the SR. A dedicated section of significant images was added as part of the report. In the first Delphi round, all sections received more than a good rating (≥3). The overall mean score of the experts and the sum of score for structured report were 4.4 (range 1–5) and 1524 (mean value of 101.6 and standard deviation of 11.8). The Cα correlation coefficient was 0.89 in the first round. In the second Delphi round, all sections received more than an excellent rating (≥4). The overall mean score of the experts and the sum of scores for structured report were 4.9 (range 3–5) and 1694 (mean value of 112.9 and standard deviation of 4.0). The Cα correlation coefficient was 0.87 in this round. The highest overall means value, highest sum of scores of the panelists, and smallest standard deviation values of the evaluations in this round reflect the increase of the internal consistency and agreement among experts in the second round compared to first round. The accurate statement of imaging data given to referring physicians is critical for patient care; the information contained affects both the decision-making process and the subsequent treatment. The radiology report is the most important source of clinical imaging information. It conveys critical information about the patient’s health and the radiologist’s interpretation of medical findings. It also communicates information to the referring physicians and records this information for future clinical and research use. The present SR was generated based on a multi-round consensus-building Delphi exercise and uses standardized terminology and structures, in order to adhere to diagnostic/therapeutic recommendations and facilitate enrolment in clinical trials, to reduce any ambiguity that may arise from non-conventional language, and to enable better communication between radiologists and clinicians.
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spelling pubmed-84324772021-09-11 Computed Tomography Structured Reporting in the Staging of Lymphoma: A Delphi Consensus Proposal Granata, Vincenza Pradella, Silvia Cozzi, Diletta Fusco, Roberta Faggioni, Lorenzo Coppola, Francesca Grassi, Roberta Maggialetti, Nicola Buccicardi, Duccio Lacasella, Giorgia Viola Montella, Marco Ciaghi, Eleonora Bellifemine, Francesco De Filippo, Massimo Rengo, Marco Bortolotto, Chandra Prost, Roberto Barresi, Carmelo Cappabianca, Salvatore Brunese, Luca Neri, Emanuele Grassi, Roberto Miele, Vittorio J Clin Med Article Structured reporting (SR) in radiology is becoming increasingly necessary and has been recognized recently by major scientific societies. This study aims to build structured CT-based reports for lymphoma patients during the staging phase to improve communication between radiologists, members of multidisciplinary teams, and patients. A panel of expert radiologists, members of the Italian Society of Medical and Interventional Radiology (SIRM), was established. A modified Delphi process was used to develop the SR and to assess a level of agreement for all report sections. The 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. The final SR version was divided into four sections: (a) Patient Clinical Data, (b) Clinical Evaluation, (c) Imaging Protocol, and (d) Report, including n = 13 items in the “Patient Clinical Data” section, n = 8 items in the “Clinical Evaluation” section, n = 9 items in the “Imaging Protocol” section, and n = 32 items in the “Report” section. Overall, 62 items were included in the final version of the SR. A dedicated section of significant images was added as part of the report. In the first Delphi round, all sections received more than a good rating (≥3). The overall mean score of the experts and the sum of score for structured report were 4.4 (range 1–5) and 1524 (mean value of 101.6 and standard deviation of 11.8). The Cα correlation coefficient was 0.89 in the first round. In the second Delphi round, all sections received more than an excellent rating (≥4). The overall mean score of the experts and the sum of scores for structured report were 4.9 (range 3–5) and 1694 (mean value of 112.9 and standard deviation of 4.0). The Cα correlation coefficient was 0.87 in this round. The highest overall means value, highest sum of scores of the panelists, and smallest standard deviation values of the evaluations in this round reflect the increase of the internal consistency and agreement among experts in the second round compared to first round. The accurate statement of imaging data given to referring physicians is critical for patient care; the information contained affects both the decision-making process and the subsequent treatment. The radiology report is the most important source of clinical imaging information. It conveys critical information about the patient’s health and the radiologist’s interpretation of medical findings. It also communicates information to the referring physicians and records this information for future clinical and research use. The present SR was generated based on a multi-round consensus-building Delphi exercise and uses standardized terminology and structures, in order to adhere to diagnostic/therapeutic recommendations and facilitate enrolment in clinical trials, to reduce any ambiguity that may arise from non-conventional language, and to enable better communication between radiologists and clinicians. MDPI 2021-09-04 /pmc/articles/PMC8432477/ /pubmed/34501455 http://dx.doi.org/10.3390/jcm10174007 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
Pradella, Silvia
Cozzi, Diletta
Fusco, Roberta
Faggioni, Lorenzo
Coppola, Francesca
Grassi, Roberta
Maggialetti, Nicola
Buccicardi, Duccio
Lacasella, Giorgia Viola
Montella, Marco
Ciaghi, Eleonora
Bellifemine, Francesco
De Filippo, Massimo
Rengo, Marco
Bortolotto, Chandra
Prost, Roberto
Barresi, Carmelo
Cappabianca, Salvatore
Brunese, Luca
Neri, Emanuele
Grassi, Roberto
Miele, Vittorio
Computed Tomography Structured Reporting in the Staging of Lymphoma: A Delphi Consensus Proposal
title Computed Tomography Structured Reporting in the Staging of Lymphoma: A Delphi Consensus Proposal
title_full Computed Tomography Structured Reporting in the Staging of Lymphoma: A Delphi Consensus Proposal
title_fullStr Computed Tomography Structured Reporting in the Staging of Lymphoma: A Delphi Consensus Proposal
title_full_unstemmed Computed Tomography Structured Reporting in the Staging of Lymphoma: A Delphi Consensus Proposal
title_short Computed Tomography Structured Reporting in the Staging of Lymphoma: A Delphi Consensus Proposal
title_sort computed tomography structured reporting in the staging of lymphoma: a delphi consensus proposal
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8432477/
https://www.ncbi.nlm.nih.gov/pubmed/34501455
http://dx.doi.org/10.3390/jcm10174007
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