Evidence map›Paper›PMID 34233472›Full record

ReviewThe British journal of radiology2021

Clinical application of "black bone" imaging in paediatric craniofacial disorders.

Xi Zhen Low, Mei Chin Lim, Vincent Nga, Gangadhara Sundar, Ai Peng Tan

Open access · bronzeAbstract readReview
In one paragraph

Review in The British journal of radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% of its field
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

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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 at 1 institution in 1 country.

Xi Zhen LowDepartment of Diagnostic Imaging, National University Hospital, Singapore, Singapore.ORCID https://orcid.org/0000-0002-1240-5908
Mei Chin LimDepartment of Diagnostic Imaging, National University Hospital, Singapore, Singapore.
Vincent NgaDivision of Neurosurgery, Department of Surgery, National University Hospital, Singapore, Singapore.
Gangadhara SundarDept of Ophthalmology, National University Hospital, Singapore, Singapore.
Ai Peng TanDepartment of Diagnostic Imaging, National University Hospital, Singapore, Singapore.
National University Hospital · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For decades, CT has been the primary imaging modality for the diagnosis and surveillance of paediatric craniofacial disorders. However, the deleterious effects of ionising radiation in the paediatric population are well established and remain an ongoing concern. This is especially so in the head and neck region, which has relatively poor soft tissue shielding with many radiosensitive organs. The development of "black bone" imaging utilising low flip angles and short echo time (TE) has shown considerable promise in alleviating the use of ionising radiation in many cases of craniofacial disorders. In this review article, we share our experience of utilising "black bone" sequence in children with craniofacial pathologies, ranging from traumatic injuries to craniosynostosis and focal osseous/fibro-osseous lesions such as fibrous dysplasia and Langerhans cell histiocytosis (LCH). A detailed discussion on the technical aspects of "black bone" sequence, including its potential pitfalls and limitations, will also be included.

Indexed as

Bone DiseasesChildCraniofacial DysostosisCraniofacial Fibrous DysplasiaFacial BonesHumansMagnetic Resonance ImagingSkull

Identifiers

PMID34233472
PMCPMC8764919
OpenAlexW3182449803

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.