Evidence map›Paper›PMID 41348122›Full record

ReviewRadiologie (Heidelberg, Germany)2026

[Bone infarctions-from pathophysiology to imaging].

Sardi Hyska, Paul Reidler, Nina Hesse

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. [Differential diagnoses of malignant bone marrow diseases].Radiologie (Heidelberg, Germany) · 2026
    Review
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

3 authors.

Sardi HyskaKlinik und Poliklinik für Radiologie, LMU München, Ziemssenstraße 5, 80336, München, Deutschland. Sardi.Hyska@med.uni-muenchen.de.
Paul ReidlerKlinik und Poliklinik für Radiologie, LMU München, Ziemssenstraße 5, 80336, München, Deutschland.
Nina HesseKlinik und Poliklinik für Radiologie, LMU München, Ziemssenstraße 5, 80336, München, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBone infarctions are a relatively understudied subgroup of osteonecroses in the literature. As frequently incidental, yet distinct imaging findings, they must be interpreted in the context of predisposed patient groups, relevant risk factors, differential diagnoses, and potential complications.

objectiveTo present the interrelationship of pathophysiology with imaging, as well as the clinical courses, histopathological correlates, and diagnostic challenges. MATERIALS AND

methodsLiterature research over the past three decades on epidemiology, pathophysiology, risk factors, and the clinical spectrum with pertinent implications for imaging (plain radiography, computed tomography [CT], magnetic resonance imaging [MRI]).

resultsBone infarctions manifest in the meta-/diaphyses of long bones and are frequently multifocal. Robust epidemiological data are lacking. Clinically, they present with acute, painful courses in systemic diseases or as oligosymptomatic incidental imaging findings. Imaging reflects the pathophysiology. Plain radiography is in general sufficient for diagnosis in late stages, whereas MRI provides the highest diagnostic accuracy.

conclusionAlthough often an "Aunt Minnie" in imaging, bone infarctions should be understood as a systemic condition. Differentiation from acute osteomyelitis and the rare risk of malignant transformation represent major clinical and diagnostic challenges.

Indexed as

Bone and BonesInfarctionMagnetic Resonance ImagingOsteonecrosisTomography, X-Ray ComputedDiagnosis, DifferentialHumansRisk FactorsAnemia, sickle cellGaucher diseaseMagnetic resonance imagingOsteomyelitisOsteonecrosis

Identifiers

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Registered trials

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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.