Evidence map›Paper›PMID 40951170›Full record

ReviewCureus2025

Imaging Modalities for Differentiating Bone Infarction and Osteomyelitis in Sickle Cell Disease: A Literature Review.

Ali M Juma, Qasim M Shamtoot, Maawa M Juma

Abstract readReview
In one paragraph

Review in Cureus, 2025. 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. [Bone infarctions-from pathophysiology to imaging].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.

Ali M JumaMedicine, Salmaniya Medical Complex, Manama, BHR.
Qasim M ShamtootMedicine, Salmaniya Medical Complex, Manama, BHR.
Maawa M JumaEmergency Medicine, Salmaniya Medical Complex, Manama, BHR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sickle cell disease (SCD) is a hereditary hemoglobinopathy associated with frequent acute and chronic skeletal complications. Among these, vaso-occlusive crises (VOCs)-induced bone infarctions and osteomyelitis are two critical yet clinically overlapping conditions that pose a diagnostic challenge. Accurate differentiation between the two is essential, as they require markedly different treatment strategies, conservative management for VOCs versus antibiotic therapy, and possible surgical intervention for osteomyelitis. This comparative review explores various imaging modalities' roles, advantages, and limitations, including plain radiography, ultrasonography, magnetic resonance imaging (MRI), and radionuclide scans, such as bone and labeled leukocyte imaging. While no single modality has emerged as the gold standard, MRI and combined radionuclide approaches demonstrate promising sensitivity and specificity when interpreted alongside clinical and laboratory findings. This paper also highlights the limitations of various imaging techniques, underscores the necessity of correlating imaging findings with clinical data, and addresses the risk of misdiagnosis. A comprehensive understanding of the imaging characteristics of these complications is crucial for orthopedic surgeons, hematologists, radiologists, and infectious disease specialists involved in the care of patients with SCD. This review emphasizes a multimodal diagnostic approach tailored to the clinical context, aiming to guide clinicians in optimizing patient care for individuals with SCD presenting with acute bone pain.

Indexed as

bone infarctionmagnetic resonance imagingosteomyelitisplain radiographyradionuclide imagingsickle cell diseaseultrasonographyvaso-occlusive crisis

Identifiers

PMID40951170
PMCPMC12433288

What OpenQuestion holds

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LicenceCC BY
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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.