Evidence map›Paper›PMID 41528426›Full record

ReviewRadiologie (Heidelberg, Germany)2026

[Radiology between cartilage and bone : New perspectives on osteochondritis dissecans].

Minette von Wickede, Tina Mühlau

Abstract readEnglish AbstractReview
PubMed Publisher
In one paragraph

Review in Radiologie (Heidelberg, Germany), 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

2 authors.

Minette von WickedeKinderradiologie, Klinikum Dritter Orden, Menzinger Str. 44, 80638, München, Deutschland. minette.wickede@dritter-orden.de.
Tina MühlauKinderradiologie, Klinikum Dritter Orden, Menzinger Str. 44, 80638, München, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

clinical problemIn children and adolescents, osteochondritis dissecans (OCD) represents an important differential diagnosis of chronic joint pain. Because the disease typically begins with nonspecific symptoms, imaging plays a pivotal role in establishing the diagnosis. Early-stage lesions, if identified correctly, can heal completely, whereas unstable lesions usually require surgical treatment. RADIOLOGICAL STANDARD TECHNIQUES: Conventional radiography remains the cornerstone of initial diagnostic evaluation. METHODOLOGICAL INNOVATION: Magnetic resonance imaging (MRI) is currently the most important imaging technique for evaluating OCD lesions. It enables early detection of subchondral signal alterations, detailed morphological assessment of the lesion, evaluation of stability through direct and indirect signs of instability, and follow-up under conservative or postoperative treatment. ASSESSMENT: Radiologists play a central role in the early detection and characterization of OCD, providing clinicians with critical information for further management. RECOMMENDATION FOR CLINICAL PRACTICE: OCD should always be considered in cases of unexplained joint pain in children, adolescents, and young adults. Conventional radiographs should be performed as the initial diagnostic evaluation. However, only MRI enables reliable early detection and accurately differentiates stable and unstable disease. In children, both sides should be examined when appropriate, since OCD frequently affects both joints.

Indexed as

Magnetic Resonance ImagingOsteochondritis DissecansAdolescentChildDiagnosis, DifferentialHumansEarly detectionFragmentMagnetic resonance imagingStabilityUnexplained joint pain

Identifiers

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.