CT of malignant peripheral nerve sheath tumor.

Elias Lugo-Fagundo, Carolina Lugo-Fagundo, Edmund Weisberg, Elliot K Fishman

Open access · goldAbstract readCase Reports

In one paragraph

Article in Radiology case reports, 2023. 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

0.2field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

Images Combined With Surgical Procedures and Pathological Identification to Distinguish a Reactive Histiocytosis With Organized Hematoma From a Malignant Peripheral Nerve Sheath Tumor.In vivo (Athens, Greece)
Article

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

4 authors at 1 institution in 1 country.

Elias Lugo-FagundoJohns Hopkins Medicine, The Russell H. Morgan Department of Radiology and Radiological Science, 601 North Caroline St, Baltimore, MD 21287, USA.

Carolina Lugo-FagundoJohns Hopkins Medicine, The Russell H. Morgan Department of Radiology and Radiological Science, 601 North Caroline St, Baltimore, MD 21287, USA.

Edmund WeisbergJohns Hopkins Medicine, The Russell H. Morgan Department of Radiology and Radiological Science, 601 North Caroline St, Baltimore, MD 21287, USA.

Elliot K FishmanJohns Hopkins Medicine, The Russell H. Morgan Department of Radiology and Radiological Science, 601 North Caroline St, Baltimore, MD 21287, USA.

Johns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malignant peripheral nerve sheath tumors are soft tissue sarcomas that typically arise from a neurofibroma. Patients with neurofibromatosis type 1 represent approximately half of the population diagnosed with these tumors. This autosomal-dominant genetic disorder is distinguished by loss-of-function mutations in the neurofibromin 1 gene, which ultimately promotes atypical cellular proliferation. These biologically aggressive tumors are associated with a poor prognosis as they are resistant to available therapies and have high rates of recurrence, progression, and mortality. In this article, we report the case of a 45-year-old male with a history of neurofibromatosis type 1 who was diagnosed with a malignant peripheral nerve sheath tumor. We focus on optimizing diagnosis and treatment through the application of radiological imaging modalities, including cinematic rendering.

Indexed as

Computed tomographyMalignant peripheral nerve sheath tumorNeurofibromatosis type 1Neurofibromin 1 gene

Identifiers

PMID36471738

DOI10.1016/j.radcr.2022.10.104

PMCPMC9718999

OpenAlexW4310471133

What OpenQuestion holds

Textmetadata

LicenceCC BY-NC-ND

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.