Evidence map›Paper›PMID 41961421›Full record

ReviewInsights into imaging2026

Challenges underlying radiology's research problem.

Luis Martí-Bonmatí, Daniel Pinto Dos Santos, Diana Veiga-Canuto, Christian Loewe

Abstract readReview
In one paragraph

Review in Insights into imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Luis Martí-BonmatíMedical Imaging Department. Hospital Universitario y Politécnico La Fe, Valencia, Spain. luis_marti@iislafe.es.ORCID http://orcid.org/0000-0002-8234-010X
Daniel Pinto Dos SantosDepartment of Radiology, University Medical Center Mainz, Mainz, Germany.
Diana Veiga-CanutoMedical Imaging Department. Hospital Universitario y Politécnico La Fe, Valencia, Spain.
Christian LoeweDepartment of Bioimaging and Image-Guided Therapy. Medical University of Vienna, Vienna, Austria.

Funding

EUCAIM 101100633
6 · The paper itself

Abstract

Radiology faces structural, cultural, and systemic challenges that threaten the sustainability and quality of its research. This article critically examines the complex factors shaping radiological research engagement, emphasizing the need to redefine academic value systems within the specialty. Radiology training remains largely generalist, limiting disease-specific clinical insight, while rapid technological advances have shifted research toward engineering and computational fields, eroding radiology's clinical ownership of imaging innovation. Multidisciplinary collaboration among radiologists, clinicians, physicists, and data scientists is essential to maintain clinically meaningful and translational research. Establishing disease-focused groups within professional societies will surely promote subspecialized expertise and guidance. Training and mentorship gaps further impede progress. Traditional curricula provide limited research exposure, while early subspecialization, structured mentorship, and integrated research training during residency are proposed to foster clinical excellence and scientific engagement. Increasing productivity demands, together with unprecedented digital workflow pressures, contribute to cognitive overload and burnout. These factors discourage participation in research. Institutional reforms ensuring protected research time, equitable recognition of academic work, and improved cognitive ergonomics are vital for innovation. Funding constraints and limited grant-writing skills reduce competitiveness, as imaging research often struggles against therapeutic fields. Developing collaborative research networks and scientific writing training can enhance funding success. Finally, quantity-driven academic metrics promote low-value publications. A shift toward value-based evaluation-prioritizing clinical relevance, methodological rigor, and collaboration-is therefore needed. Radiology must realign its academic structures to sustain high-quality research and reaffirm its dual role as a clinical cornerstone and scientific innovator. The Cancer Image Europe (EUCAIM) infrastructure facilitates collaboration among radiologists, clinicians, researchers, and innovators, representing a valuable opportunity for radiologists in training to engage in research. CRITICAL RELEVANCE STATEMENT: Radiology faces structural, cultural, and systemic challenges that threaten the sustainability and quality of its research. This article critically examines the complex factors shaping radiological research engagement, emphasizing the need to redefine academic value systems within the specialty. KEY POINTS: Radiology must overcome structural and cultural barriers to sustain impactful research. Multidisciplinary collaboration and disease-focused training are key to clinical innovation. Reforming evaluation systems and protecting research time are essential for progress.

Indexed as

RadiologyResearchTraining

Identifiers

PMID41961421
PMCPMC13069028

What OpenQuestion 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 OpenQuestion graph.