Evidence map›Paper›PMID 24808436›Full record

ArticleDiagnostic and interventional radiology (Ankara, Turkey)

MRI characterization of inflammatory myofibroblastic tumors in the maxillofacial region.

Hui Li, De Ling Wang, Xue Wen Liu, Zhi Jun Geng, Chuan Miao Xie

Abstract read
In one paragraph

Article in Diagnostic and interventional radiology (Ankara, Turkey). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Inflammatory Myofibroblastic Tumour of Head and Neck: A Systematic Review Plus Meta-Analysis.Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery · 2026
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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.

Hui LiState Key Laboratory of Oncology, Guangzhou, China; the Medical Imaging and Minimally Invasive Interventional Center, Cancer Center, Sun Yat-sen University, Guangzhou, China. xiechm0792@126.com.
De Ling Wang
Xue Wen Liu
Zhi Jun Geng
Chuan Miao Xie

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe aimed to investigate the magnetic resonance imaging (MRI) appearance of inflammatory myofibroblastic tumors (IMTs) in the maxillofacial region in order to improve diagnostic quality and resection efficacy. MATERIALS AND

methodsTen cases of pathologically identified IMTs were analyzed by MRI. The MRI features were examined, including tumor location, tumor shape, tumor margins, and involvement of the surrounding tissues.

resultsOf ten masses investigated in this study, eight masses were irregular neoplasms with unclear margins and two masses, in the parotid gland, were regular neoplasms with clear margins. Precontrast T1-weighted images of all ten masses exhibited isointense signals compared to the adjacent tissue, while contrast-enhanced T1-weighted images showed strong enhancement. Six masses were hypointense and four masses were slightly hyperintense in T2-weighted images. Involvement of the adjacent structures was observed in eight of ten cases. Meanwhile, two patients experienced intracranial involvement.

conclusionIMTs are rare tumors in the maxillofacial region, displaying a number of distinct MRI characteristics. Most importantly, they display low T2 signal intensity and strong enhancement, and they frequently invade surrounding structures. Thus, MRI can improve the accuracy of IMT diagnoses and provide critical information for surgical planning.

Indexed as

Magnetic Resonance ImagingAdolescentAdultAgedChildContrast MediaFaceFacial NeoplasmsFemaleGadolinium DTPAHumansImage EnhancementImage Processing, Computer-AssistedMaleMiddle AgedNeoplasms, Muscle TissueContrast MediaGadolinium DTPA

Identifiers

PMID24808436
PMCPMC4463271

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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.