Evidence map›Paper›PMID 41555031›Full record

ReviewSkeletal radiology2026

Structured reporting in knee MRI.

Marco Peter, Tobias Johannes Dietrich, Roman Guggenberger, Anna L Falkowski, Tim Steffen Fischer

Abstract readReview
PubMed Publisher
In one paragraph

Review in Skeletal radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

5 authors.

Marco PeterClinic for Radiology and Nuclear Medicine, Cantonal Hospital Winterthur, Winterthur, Switzerland. marco.peter@ksw.ch.
Tobias Johannes DietrichFaculty of Medicine, University of Zurich, Zurich, Switzerland.
Roman GuggenbergerClinic for Radiology and Nuclear Medicine, Cantonal Hospital Winterthur, Winterthur, Switzerland.
Anna L FalkowskiClinic for Radiology and Nuclear Medicine, Cantonal Hospital Winterthur, Winterthur, Switzerland.
Tim Steffen FischerClinic for Radiology and Nuclear Medicine, Cantonal Hospital Winterthur, Winterthur, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Structured reporting in knee MRI represents a transformative advancement in musculoskeletal radiology, promising enhanced clarity and consistency in evaluating the knee's complex anatomy-menisci, ligaments, cartilage, and bone. This review article explores the foundations, evolution, and clinical applications of structured reporting, with a special focus on its role in knee MRI. Furthermore, we examine different studies highlighting the benefits of structured reporting, like improved clinician communication and support for emerging artificial intelligence (AI) tools, while also addressing challenges like balancing structure and a certain amount of narrative flexibility. Frameworks such as anatomical versus tissue-based approaches are explored, and insights into possible best practices are offered. The outlook is promising with AI-driven automation, natural language processing, and patient-centric innovations, driven by global standardization efforts from radiological societies. Structured reporting in knee MRI invites further exploration to unlock its full potential, ultimately leading to improved patient care.

Indexed as

Joint DiseasesKnee JointMagnetic Resonance ImagingRadiology Information SystemsArtificial IntelligenceHumansKnee MRIMusculoskeletal radiologyReport templateStructured reporting

Identifiers

PMID41555031

What OpenQuestion holds

Textmetadata
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.