Advancements in Standardizing Radiological Reports: A Comprehensive Review.

AI radiology radiology report radiomics standardization structured report

Journal

Medicina (Kaunas, Lithuania)
ISSN: 1648-9144
Titre abrégé: Medicina (Kaunas)
Pays: Switzerland
ID NLM: 9425208

Informations de publication

Date de publication:
17 Sep 2023
Historique:
received: 17 06 2023
revised: 18 08 2023
accepted: 14 09 2023
medline: 29 9 2023
pubmed: 28 9 2023
entrez: 28 9 2023
Statut: epublish

Résumé

Standardized radiological reports stimulate debate in the medical imaging field. This review paper explores the advantages and challenges of standardized reporting. Standardized reporting can offer improved clarity and efficiency of communication among radiologists and the multidisciplinary team. However, challenges include limited flexibility, initially increased time and effort, and potential user experience issues. The efforts toward standardization are examined, encompassing the establishment of reporting templates, use of common imaging lexicons, and integration of clinical decision support tools. Recent technological advancements, including multimedia-enhanced reporting and AI-driven solutions, are discussed for their potential to improve the standardization process. Organizations such as the ACR, ESUR, RSNA, and ESR have developed standardized reporting systems, templates, and platforms to promote uniformity and collaboration. However, challenges remain in terms of workflow adjustments, language and format variability, and the need for validation. The review concludes by presenting a set of ten essential rules for creating standardized radiology reports, emphasizing clarity, consistency, and adherence to structured formats.

Identifiants

pubmed: 37763797
pii: medicina59091679
doi: 10.3390/medicina59091679
pmc: PMC10535385
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Ministry of Health
ID : Ricerca Corrente and 5x1000 funds

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Auteurs

Filippo Pesapane (F)

Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.

Priyan Tantrige (P)

Department of Radiology, King's College Hospital NHS Foundation Trust, London SE5 9RS, UK.

Paolo De Marco (P)

Medical Physics Unit, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.

Serena Carriero (S)

Postgraduate School of Radiodiagnostics, University of Milan, 20122 Milan, Italy.

Fabio Zugni (F)

Division of Radiology, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.

Luca Nicosia (L)

Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.

Anna Carla Bozzini (AC)

Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.

Anna Rotili (A)

Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.

Antuono Latronico (A)

Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.

Francesca Abbate (F)

Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.

Daniela Origgi (D)

Medical Physics Unit, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.

Sonia Santicchia (S)

Foundation IRCCS Cà Granda-Ospedale Maggiore Policlinico, 20122 Milan, Italy.

Giuseppe Petralia (G)

Division of Radiology, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.
Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy.

Gianpaolo Carrafiello (G)

Foundation IRCCS Cà Granda-Ospedale Maggiore Policlinico, 20122 Milan, Italy.
Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy.

Enrico Cassano (E)

Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.

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Classifications MeSH