Structured Reporting of Computed Tomography and Magnetic Resonance in the Staging of Pancreatic Adenocarcinoma: A Delphi Consensus Proposal
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
Affiliations
Vincenza Granata
Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, Italy
Giovanni Morana
Department of Radiology, Santa Maria di Ca’ Foncello Hospital, 31100 Treviso, Italy
Mirko D'Onofrio
Department of Radiology, University Hospital G.B. Rossi, University of Verona, 37134 Verona, Italy
Roberta Fusco
Medical Oncology Division, Igea SpA, 80013 Napoli, Italy
Francesca Coppola
Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy
Francesca Grassi
Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, Via della Signora 2, 20122 Milan, Italy
Salvatore Cappabianca
Division of Radiology, Università degli Studi della Campania Luigi Vanvitelli, 80125 Naples, Italy
Alfonso Reginelli
Division of Radiology, Università degli Studi della Campania Luigi Vanvitelli, 80125 Naples, Italy
Nicola Maggialetti
Section of Radiodiagnostic, DSMBNOS, Aldo Moro University, 70124 Bari, Italy
Duccio Buccicardi
Imaging Department, San Paolo Hospital, 17100 Savona, Italy
Antonio Barile
Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, Via della Signora 2, 20122 Milan, Italy
Marco Rengo
Department of Radiological Sciences, Oncology and Pathology, Sapienza University of Rome I.C.O.T. Hospital, Via Franco Faggiana, 1668, 04100 Latina, Italy
Chandra Bortolotto
Department of Radiology, I.R.C.C.S. Policlinico San Matteo Foundation, 27100 Pavia, Italy
Fabrizio Urraro
Division of Radiology, Università degli Studi della Campania Luigi Vanvitelli, 80125 Naples, Italy
Giorgia Viola La Casella
Division of Radiology, Università degli Studi della Campania Luigi Vanvitelli, 80125 Naples, Italy
Marco Montella
Division of Radiology, Università degli Studi della Campania Luigi Vanvitelli, 80125 Naples, Italy
Eleonora Ciaghi
Exprivia SpA, 70056 Bari, Italy
Francesco Bellifemine
Exprivia SpA, 70056 Bari, Italy
Federica De Muzio
Department of Medicine and Health Sciences “V. Tiberio”, University of Molise, Via Francesco De Sanctis 1, 86100 Campobasso, Italy
Ginevra Danti
Division of Radiology, Azienda Ospedaliera Universitaria Careggi, 50134 Florence, Italy
Giulia Grazzini
Division of Radiology, Azienda Ospedaliera Universitaria Careggi, 50134 Florence, Italy
Carmelo Barresi
Diagnostic Imaging Section, Department of Medical and Surgical Sciences & Neurosciences, Siena University Hospital, 53100 Siena, Italy
Luca Brunese
Department of Medicine and Health Sciences “V. Tiberio”, University of Molise, Via Francesco De Sanctis 1, 86100 Campobasso, Italy
Emanuele Neri
Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, Via della Signora 2, 20122 Milan, Italy
Roberto Grassi
Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, Via della Signora 2, 20122 Milan, Italy
Vittorio Miele
Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, Via della Signora 2, 20122 Milan, Italy
Lorenzo Faggioni
Department of Translational Research, University of Pisa, 56126 Pisa, Italy
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.