Evidence map›Paper›PMID 35982502›Full record

ArticleJournal of medical case reports2022

Low apparent diffusion coefficient in an extracranial brain tumor: a case report.

Ho Xuan Tuan, Nguyen Duy Hung, Nguyen Dinh Minh, Nguyen Nhat Quang, Ngo Quang Duy, Nguyen Minh Duc

Open access · goldAbstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of medical case reports, 2022. 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, top 83% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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 at 5 institutions in 1 country.

Ho Xuan Tuan *Department of Medical Imaging, University of Medical Technology and Pharmacy, Da Nang, 500000, Vietnam.
Nguyen Duy Hung *Department of Radiology, Hanoi Medical University, Hanoi, 100000, Vietnam.
Nguyen Dinh MinhDepartment of Radiology, Viet Duc Hospital, Hanoi, 100000, Vietnam.
Nguyen Nhat QuangDepartment of Radiology, Viet Duc Hospital, Hanoi, 100000, Vietnam.
Ngo Quang DuyDepartment of Radiology, Ha Giang General Hospital, Ha Giang, 200000, Vietnam.
Nguyen Minh DucDepartment of Radiology, Pham Ngoc Thach University of Medicine, 2 Duong Quang Trung, Ward 12, District 10, Ho Chi Minh City, 700000, Vietnam. bsnguyenminhduc@pnt.edu.vn.ORCID http://orcid.org/0000-0001-5411-1492
Viet Duc Hospital · VNHanoi Medical University · VNPham Ngoc Thach University of Medicine · VNTien Giang General Hospital · VNUniversity of Science and Technology - The University of Da Nang · VN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedulloblastoma is well known as the most common malignant brain tumor identified in children, frequently found at an intra-axial location in the posterior cranial fossa. Extra-axial medulloblastoma is uncommon and often misdiagnosed. We believe that a thorough understanding of atypical medulloblastoma cases is important in daily practice. CASE PRESENTATION: We present the unique case of a 39-year-old woman of Asian descent who suffered from headaches and right-sided hearing impairment. A right extra-axial medulloblastoma with an extremely low apparent diffusion coefficient of 0.404 × 10

Indexed as

Brain NeoplasmsCerebellar NeoplasmsHemangioblastomaMedulloblastomaAdultChildDiffusion Magnetic Resonance ImagingFemaleHumansMagnetic Resonance ImagingApparent diffusion coefficientCase reportExtra-axialMagnetic resonance imagingMedulloblastoma

Identifiers

PMID35982502
PMCPMC9389690
OpenAlexW4293794212

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.