Evidence map›Paper›PMID 41113794›Full record

ReviewJournal of clinical imaging science2025

Black bone magnetic resonance imaging in clinical practice: Systematic review of current perspectives and insights.

Dani N Jijo, Omkar Uttam Gaonkar, Mohit Kumar Pandey, V K Ilankathir, Anagha K A, Shashi Kumar Shetty

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of clinical imaging science, 2025. 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

6 authors.

Dani N JijoDepartment of Medical Imaging Technology,Yenepoya (Deemed to be University), Yenepoya School of Allied Health Sciences, Mangalore, Karnataka, India.ORCID https://orcid.org/0009-0004-5815-1036
Omkar Uttam GaonkarDepartment of Radiology, Medical Imaging Technology, Nitte (Deemed to be University), K S Hegde Medical Academy, Deralakatte, Mangalore, Karnataka, India.ORCID https://orcid.org/0000-0003-3996-8804
Mohit Kumar PandeyDepartment of Radiodiagnosis, Medical Imaging Technology, Goa Medical College, Bambolim, Goa, India.ORCID https://orcid.org/0000-0002-4355-3997
V K IlankathirDepartment of Radiology and Imaging Technology, School of Allied and Health Care Sciences, Malla Reddy University, Dulapally, Hyderabad, India.ORCID https://orcid.org/0009-0005-0235-7761
Anagha K ADepartment of Radiology, Medical Imaging Technology, Nitte (Deemed to be University), K S Hegde Medical Academy, Deralakatte, Mangalore, Karnataka, India.
Shashi Kumar ShettyDepartment of Radiology, Medical Imaging Technology, Nitte (Deemed to be University), K S Hegde Medical Academy, Deralakatte, Mangalore, Karnataka, India.ORCID https://orcid.org/0000-0003-0172-0096

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnetic resonance imaging (MRI) has proven its strengths in soft-tissue imaging, but advancements in imaging techniques have now enhanced bone visualization. This review evaluates the effectiveness and reliability of black bone MRI for detecting and assessing bone abnormalities, particularly in orthopedic and craniofacial conditions. Articles from indexed journals such as Science Direct, Springer, Elsevier, PubMed/Medline, Wiley Online Library, and Scopus were analyzed, adhering to preferred reporting items for systematic review and meta-analysis guidelines. Ten studies met the criteria and were included in the study. The review highlights that black bone MRI outperforms computed tomography by offering superior imaging of bone and intracranial structures, leading to higher surgical accuracy and improved diagnostic precision.

Indexed as

Black bone magnetic resonance imagingComputed tomographyCraniofacial assessmentFetal magnetic resonance imagingMagnetic resonance imaging

Identifiers

PMID41113794
PMCPMC12530756

What OpenQuestion holds

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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.