Literature DB >> 27572812

Usage of structured reporting in radiological practice: results from an Italian online survey.

Lorenzo Faggioni1, Francesca Coppola2, Riccardo Ferrari3, Emanuele Neri4, Daniele Regge5.   

Abstract

OBJECTIVES: To assess the opinion on structured reporting (SR) and its usage by radiologist members of the Italian Society of Medical Radiology (SIRM) via an online survey.
METHODS: All members received an email invitation to join the survey as an initiative by the SIRM Imaging Informatics Chapter. The survey included 10 questions about demographic information, definition of radiological SR, its usage in everyday practice, perceived advantages and disadvantages over conventional reporting and overall opinion about SR.
RESULTS: 1159 SIRM members participated in the survey. 40.3 % of respondents gave a correct definition of radiological SR, but as many as 56 % of them never used it at work. Compared with conventional reporting, the most appreciated advantages of SR were higher reproducibility (70.5 %), better interaction with referring clinicians (58.3 %) and the option to link metadata (36.7 %). Risk of excessive simplification (59.8 %), template rigidity (56.1 %) and poor user compliance (42.1 %) were the most significant disadvantages. Overall, most respondents (87.0 %) were in favour of the adoption of radiological SR.
CONCLUSIONS: Most radiologists were interested in radiological SR and in favour of its adoption. However, concerns about semantic, technical and professional issues limited its diffusion in real working life, encouraging efforts towards improved SR standardisation and engineering. KEY POINTS: • Despite radiologists' awareness, radiological SR is little used in working practice. • Perceived SR advantages are reproducibility, better clinico-radiological interaction and link to metadata. • Perceived SR disadvantages are excessive simplification, template rigidity and poor user compliance. • Improved standardisation and engineering may be helpful to boost SR diffusion.

Entities:  

Keywords:  Conventional reporting; DICOM; RIS/PACS; Structured reporting; Template

Mesh:

Year:  2016        PMID: 27572812     DOI: 10.1007/s00330-016-4553-6

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  28 in total

1.  Improving communication of diagnostic radiology findings through structured reporting.

Authors:  Lawrence H Schwartz; David M Panicek; Alexandra R Berk; Yuelin Li; Hedvig Hricak
Journal:  Radiology       Date:  2011-04-25       Impact factor: 11.105

Review 2.  DICOM structured reporting: Part 2. Problems and challenges in implementation for PACS workstations.

Authors:  Rada Hussein; Uwe Engelmann; Andre Schroeter; Hans-Peter Meinzer
Journal:  Radiographics       Date:  2004 May-Jun       Impact factor: 5.333

3.  An automated DICOM database capable of arbitrary data mining (including radiation dose indicators) for quality monitoring.

Authors:  Shanshan Wang; William Pavlicek; Catherine C Roberts; Steve G Langer; Muhong Zhang; Mengqi Hu; Richard L Morin; Beth A Schueler; Clinton V Wellnitz; Teresa Wu
Journal:  J Digit Imaging       Date:  2011-04       Impact factor: 4.056

4.  Automated contrast medium monitoring system for computed tomography--Intra-institutional audit.

Authors:  Dario Luca Lauretti; Emanuele Neri; Lorenzo Faggioni; Fabio Paolicchi; Davide Caramella; Carlo Bartolozzi
Journal:  Comput Med Imaging Graph       Date:  2015-08-28       Impact factor: 4.790

5.  Benefits of the DICOM structured report.

Authors:  Rita Noumeir
Journal:  J Digit Imaging       Date:  2006-12       Impact factor: 4.056

Review 6.  A framework for improving radiology reporting.

Authors:  Chris L Sistrom; Curtis P Langlotz
Journal:  J Am Coll Radiol       Date:  2005-02       Impact factor: 5.532

7.  Structured radiology reporting: are we there yet?

Authors:  Curtis P Langlotz
Journal:  Radiology       Date:  2009-10       Impact factor: 11.105

8.  Journal Club: Structured radiology reports are more complete and more effective than unstructured reports.

Authors:  Peter A Marcovici; George A Taylor
Journal:  AJR Am J Roentgenol       Date:  2014-12       Impact factor: 3.959

Review 9.  The value proposition of structured reporting in interventional radiology.

Authors:  Jeremy C Durack
Journal:  AJR Am J Roentgenol       Date:  2014-10       Impact factor: 3.959

10.  Characterization of prostate lesions as benign or malignant at multiparametric MR imaging: comparison of three scoring systems in patients treated with radical prostatectomy.

Authors:  Tiphaine Vaché; Flavie Bratan; Florence Mège-Lechevallier; Sylvain Roche; Muriel Rabilloud; Olivier Rouvière
Journal:  Radiology       Date:  2014-06-15       Impact factor: 11.105

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  20 in total

1.  Value of structured reporting in neuromuscular disorders.

Authors:  Francesco Alessandrino; Lara Cristiano; Claudia Maria Cinnante; Tommaso Tartaglione; Simonetta Gerevini; Tommaso Verdolotti; Giovanna Stefania Colafati; Emanuele Ghione; Raimondo Vitale; Lorenzo Peverelli; Claudia Brogna; Angela Berardinelli; Maurizio Moggio; Eugenio M Mercuri; Anna Pichiecchio
Journal:  Radiol Med       Date:  2019-03-09       Impact factor: 3.469

2.  Objective Comparison Using Guideline-based Query of Conventional Radiological Reports and Structured Reports.

Authors:  Máté E Maros; Ralf Wenz; Alex Förster; Matthias F Froelich; Christoph Groden; Wieland H Sommer; Stefan O Schönberg; Thomas Henzler; Holger Wenz
Journal:  In Vivo       Date:  2018 Jul-Aug       Impact factor: 2.155

3.  Recall of structured radiology reports is significantly superior to that of unstructured reports.

Authors:  Bryan W Buckley; Leslie Daly; Grainne N Allen; Carole A Ridge
Journal:  Br J Radiol       Date:  2018-01-05       Impact factor: 3.039

4.  A proof of concept for epidemiological research using structured reporting with pulmonary embolism as a use case.

Authors:  Daniel Pinto Dos Santos; Sonja Scheibl; Gordon Arnhold; Aline Maehringer-Kunz; Christoph Düber; Peter Mildenberger; Roman Kloeckner
Journal:  Br J Radiol       Date:  2018-06-05       Impact factor: 3.039

5.  Artificial intelligence: radiologists' expectations and opinions gleaned from a nationwide online survey.

Authors:  Francesca Coppola; Lorenzo Faggioni; Daniele Regge; Andrea Giovagnoni; Rita Golfieri; Corrado Bibbolino; Vittorio Miele; Emanuele Neri; Roberto Grassi
Journal:  Radiol Med       Date:  2020-04-29       Impact factor: 3.469

6.  Adnexal mass staging CT with a disease-specific structured report compared to simple structured report.

Authors:  Andrea Franconeri; Johannes Boos; Jieming Fang; Anuradha Shenoy-Bhangle; Michelle Perillo; Catherine J Wei; Leslie Garrett; Katharine Esselen; Liu Fong; Olga R Brook
Journal:  Eur Radiol       Date:  2019-02-28       Impact factor: 5.315

7.  Structured Reporting of Rectal Cancer Staging and Restaging: A Consensus Proposal.

Authors:  Vincenza Granata; Damiano Caruso; Roberto Grassi; Salvatore Cappabianca; Alfonso Reginelli; Roberto Rizzati; Gabriele Masselli; Rita Golfieri; Marco Rengo; Daniele Regge; Giuseppe Lo Re; Silvia Pradella; Roberta Fusco; Lorenzo Faggioni; Andrea Laghi; Vittorio Miele; Emanuele Neri; Francesca Coppola
Journal:  Cancers (Basel)       Date:  2021-04-28       Impact factor: 6.639

8.  Structured Reporting versus Free-Text Reporting for Appendiceal Computed Tomography in Adolescents and Young Adults: Preference Survey of 594 Referring Physicians, Surgeons, and Radiologists from 20 Hospitals.

Authors:  Sung Bin Park; Min Jeong Kim; Yousun Ko; Ji Ye Sim; Hyuk Jung Kim; Kyoung Ho Lee
Journal:  Korean J Radiol       Date:  2019-02       Impact factor: 3.500

9.  Structured reporting of prostate magnetic resonance imaging has the potential to improve interdisciplinary communication.

Authors:  C Wetterauer; D J Winkel; J R Federer-Gsponer; A Halla; S Subotic; A Deckart; H H Seifert; D T Boll; J Ebbing
Journal:  PLoS One       Date:  2019-02-19       Impact factor: 3.240

10.  Deep learning to convert unstructured CT pulmonary angiography reports into structured reports.

Authors:  Adam Spandorfer; Cody Branch; Puneet Sharma; Pooyan Sahbaee; U Joseph Schoepf; James G Ravenel; John W Nance
Journal:  Eur Radiol Exp       Date:  2019-09-23
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