# The journey from congress to journal: publication patterns of ECR 2019 oral presentations

**Authors:** Ali Salbas, Raşit Eren Büyüktoka, Murat Yogurtcu, Münevver İlke Kaya, Binnur Emre, Ali Murat Koc

PMC · DOI: 10.1186/s13244-025-02198-w · Insights into Imaging · 2026-02-16

## TL;DR

This study examines how many oral presentations from the 2019 European Congress of Radiology were later published as full articles and compares the results to 2010.

## Contribution

The study provides updated insights into the publication trends of ECR presentations and highlights the growing global participation in radiological research.

## Key findings

- 46.5% of ECR 2019 oral presentations were published, similar to the 43% from ECR 2010.
- Asia had a higher publication rate than Europe, and AI/ML abstracts had the highest citation rates.
- Switzerland and the Netherlands had the highest publication rates among countries.

## Abstract

To evaluate the publication outcomes of oral presentations delivered at the European Congress of Radiology (ECR) 2019 and examine factors influencing conversion to full-text articles; findings were also compared with ECR 2010.

A total of 1817 oral presentations from ECR 2019 were analyzed. Publication status was determined by searching PubMed/MEDLINE up to December 2023. For each matched article, Journal Impact Factor (JIF) and Google Scholar citations/year were recorded. Additional variables included country of origin, collaboration type, imaging modality, and study design. Statistical analyses used chi-square and Kruskal–Wallis, with p < 0.05 considered significant.

Of 1817 oral presentations, 844 (46.5%) were published, with no significant difference from ECR 2010 (43%, p = 0.091). Abstracts originated from 71 countries, with Italy (16.5%) and China (15.5%) contributing the most. Publications appeared in 254 journals. Publication rates varied significantly by country (p < 0.001), with Switzerland (74.4%) and the Netherlands (68.8%) achieving the highest rates. When analyzed by continent, abstracts from Asia showed a significantly higher publication rate than those from Europe (52.3% vs. 43.6%, p = 0.001). Publication outcomes also varied significantly by imaging modality (p = 0.002) and subspecialty (p < 0.001). Breast imaging achieved the highest median JIF (4.9), whereas Artificial Intelligence/Machine Learning (AI/ML) demonstrated the highest median annual citation count (10.5).

Nearly half of the ECR 2019 oral presentations achieved peer-reviewed publication, maintaining rates from 2010. The congress’s contributor landscape has become more global, with greater participation from Asia. While traditional radiological fields remain prevalent, AI/ML abstracts demonstrated high citation rates. These findings reflect contemporary trends in radiological research.

By analyzing the publication outcomes of ECR 2019, with comparisons to 2010 data, this study examines evolving global patterns in publication outcomes, offering insights to enhance the dissemination of radiological research.

Converting oral presentations to publications remains challenging in radiological research.Nearly half of the ECR 2019 oral presentations were published, showing a modest, non-significant increase from ECR 2010.The congress has become increasingly global, with notable growth in participation from Asia.This study reveals radiology’s evolving scientific landscape and current research priorities.

Converting oral presentations to publications remains challenging in radiological research.

Nearly half of the ECR 2019 oral presentations were published, showing a modest, non-significant increase from ECR 2010.

The congress has become increasingly global, with notable growth in participation from Asia.

This study reveals radiology’s evolving scientific landscape and current research priorities.

## Full-text entities

- **Diseases:** ML (MESH:C537366), COVID-19 (MESH:D000086382)
- **Chemicals:** ECR (-)

## Full text

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## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12909687/full.md

## References

9 references — full list in the complete paper: https://tomesphere.com/paper/PMC12909687/full.md

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Source: https://tomesphere.com/paper/PMC12909687