Evidence map›Paper›PMID 38206405›Full record

ArticleEuropean radiology2024

Perceptions of radiologists on structured reporting for cancer imaging-a survey by the European Society of Oncologic Imaging (ESOI).

Doris Leithner, Evis Sala, Emanuele Neri, Heinz-Peter Schlemmer, Melvin D'Anastasi, Michael Weber, Giacomo Avesani, Iztok Caglic, Damiano Caruso, Michela Gabelloni and 7 more

Open access · hybridAbstract read
In one paragraph

Article in European radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
8.9field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 22 citations in OpenAlex.

  1. Multidisciplinary attitudes towards LLM-structured oncologic CT reports: a prospective fixed-sequence questionnaire study.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
    Article
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  4. Review
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  6. Review
  7. Do MRI structured reports with FIGO classifications of leiomyomas contain adequate information for clinical decision making?International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2025
    Article
  8. Article
  9. Use and Perceptions of Oncology CT Structured Reports in Australia and New Zealand.Journal of medical imaging and radiation oncology · 2025
    Article
  10. Article
  11. Article
  12. Review
  13. Article
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  15. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 14 institutions in 7 countries.

Doris LeithnerDepartment of Radiology, NYU Grossman School of Medicine, New York, NY, USA.ORCID http://orcid.org/0000-0002-0163-3964
Evis SalaDepartment of Radiology, Universita Cattolica del Sacro Cuore, Rome, Italy.
Emanuele NeriDiagnostic and Interventional Radiology, Department of Translational Research, University of Pisa, Pisa, Italy.
Heinz-Peter SchlemmerDepartment of Radiology, German Cancer Research Center, Heidelberg, Germany.
Melvin D'AnastasiMedical Imaging Department, Mater Dei Hospital, University of Malta, Msida, Malta.
Michael WeberDepartment of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
Giacomo AvesaniDepartment of Radiology, Radiation Oncology and Hematology, Fondazione Policlinico Universitario, A. Gemelli IRCCS, Rome, Italy.
Iztok CaglicDepartment of Radiology, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK.
Damiano CarusoDepartment of Medical Surgical Sciences and Translational Medicine, Sapienza University of Rome, Sant'Andrea University Hospital, Rome, Italy.
Michela GabelloniNuclear Medicine Unit, Department of Translational Research, University of Pisa, Pisa, Italy.
Vicky GohSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Vincenza GranataDivision of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale-IRCCS, Naples, Italy.
Wolfgang G KunzDepartment of Radiology, University Hospital LMU Munich, Munich, Germany.
Stephanie NougaretDepartment of Radiology, IRCM INSERM U1194, SIRIC, Montpellier, France.
Luca RussoDepartment of Radiology, Radiation Oncology and Hematology, Fondazione Policlinico Universitario, A. Gemelli IRCCS, Rome, Italy.
Ramona WoitekResearch Centre for Medical Image Analysis and Artificial Intelligence, Danube Private University, Krems, Austria.
Marius E MayerhoeferDepartment of Radiology, NYU Grossman School of Medicine, New York, NY, USA. marius.mayerhoefer@meduniwien.ac.at.
Agostino Gemelli University Polyclinic · ITNew York University · USUniversity of Pisa · ITDanube Private University · ATGerman Cancer Research Center · DEInserm · FRIstituto Nazionale Tumori IRCCS "Fondazione G. Pascale" · ITLMU Klinikum · DEMedical University of Vienna · ATSapienza University of Rome · ITSt Thomas' Hospital · GBUniversità Cattolica del Sacro Cuore · ITUniversity of Cambridge · GBUniversity of Malta · MT

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748NIH/NCI Cancer Center Support Grant P30CA008748
6 · The paper itself

Abstract

objectivesTo assess radiologists' current use of, and opinions on, structured reporting (SR) in oncologic imaging, and to provide recommendations for a structured report template. MATERIALS AND

methodsAn online survey with 28 questions was sent to European Society of Oncologic Imaging (ESOI) members. The questionnaire had four main parts: (1) participant information, e.g., country, workplace, experience, and current SR use; (2) SR design, e.g., numbers of sections and fields, and template use; (3) clinical impact of SR, e.g., on report quality and length, workload, and communication with clinicians; and (4) preferences for an oncology-focused structured CT report. Data analysis comprised descriptive statistics, chi-square tests, and Spearman correlation coefficients.

resultsA total of 200 radiologists from 51 countries completed the survey: 57.0% currently utilized SR (57%), with a lower proportion within than outside of Europe (51.0 vs. 72.7%; p = 0.006). Among SR users, the majority observed markedly increased report quality (62.3%) and easier comparison to previous exams (53.5%), a slightly lower error rate (50.9%), and fewer calls/emails by clinicians (78.9%) due to SR. The perceived impact of SR on communication with clinicians (i.e., frequency of calls/emails) differed with radiologists' experience (p < 0.001), and experience also showed low but significant correlations with communication with clinicians (r = - 0.27, p = 0.003), report quality (r = 0.19, p = 0.043), and error rate (r = - 0.22, p = 0.016). Template use also affected the perceived impact of SR on report quality (p = 0.036).

conclusionRadiologists regard SR in oncologic imaging favorably, with perceived positive effects on report quality, error rate, comparison of serial exams, and communication with clinicians. CLINICAL RELEVANCE STATEMENT: Radiologists believe that structured reporting in oncologic imaging improves report quality, decreases the error rate, and enables better communication with clinicians. Implementation of structured reporting in Europe is currently below the international level and needs society endorsement. KEY POINTS: • The majority of oncologic imaging specialists (57% overall; 51% in Europe) use structured reporting in clinical practice. • The vast majority of oncologic imaging specialists use templates (92.1%), which are typically cancer-specific (76.2%). • Structured reporting is perceived to markedly improve report quality, communication with clinicians, and comparison to prior scans.

Indexed as

Attitude of Health PersonnelNeoplasmsRadiologistsSocieties, MedicalEuropeHumansRadiology Information SystemsSurveys and QuestionnairesDiagnostic imagingMedical oncologyQuality improvement

Identifiers

PMID38206405
PMCPMC11254975
OpenAlexW4390744544

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.