Advancements in standardizing radiological reports: a comprehensive review
Open accessAbstract
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.
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The growing gap between imaging demand and radiologist availability has intensified the challenge of radiology reporting, leading to delayed diagnoses and increased workloads across healthcare systems worldwide.
“The growing gap between imaging demand and radiologist availability has intensified this challenge, leading to delayed diagnoses and increased workloads across healthcare systems worldwide (1, 2).”
From Swin-Qwen3: a three-stage vision–language framework for automated radiology report generation with multi-agent verification (2026) · cites this paper as [1]
The Introduction describes the importance of radiology reports, and Section 4 discusses the effort required to standardize them and mentions workload guidelines. Neither passage addresses a growing gap between imaging demand and radiologist availability or links such a gap to delayed diagnoses and increased workloads worldwide. Searches for those terms and for reporting backlogs found no supporting passage in our copy. (LLM, conf=0.76)
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Abdaoui, H., Barbaria, S., Al Kuwaiti, A., Raouafi, N., Ben Salah, R., & Boussi Rahmouni, H. (2026) · Frontiers in Radiology · doi:10.3389/fradi.2026.1875905
- Authors
- Pesapane, F., Tantrige, P., De Marco, P., Carriero, S., Zugni, F., Nicosia, L., Bozzini, A. C., Rotili, A., Latronico, A., Abbate, F., Origgi, D., Santicchia, S., Petralia, G., Carrafiello, G., & Cassano, E.
- Affiliations
- European Institute of Oncology (IT)
- King's College Hospital NHS Foundation Trust (GB)
- Medical Physics Unit, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy
- University of Milan (IT)
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico (IT)
- Corresponding author
- Pesapane, Filippo
- ORCID
- Venue
- Medicina
- Publisher
- MDPI AG
- Published
- 2023-09-17
- Volume
- 59
- Issue
- 9
- Pages
- 1679
- ISSN
- 1010-660X (ISSN-L)
- 1648-9144
- PMC
- PMC10535385
- OpenAlex
- W4386813945
- Cited by
- 50
- References
- 50
- Citations by year
- 2026: 16 · 2025: 27 · 2024: 7
- FWCI
- 2.11
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Medicina (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- IrInSubria (University of Insubria) (submittedVersion)
- Funders
- Italian Ministry of Health with Ricerca Corrente
- 5 × 1000 funds
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiology practices and education
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Keywords
- structured reporting, clinical decision support, multidisciplinary communication
- MeSH terms
- Communication, Humans, Language, Radiography, Radiology, Workflow
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