Evidence map›Paper›PMID 38106305›Full record

ArticleQuantitative imaging in medicine and surgery2023

Imaging diagnosis analysis and literature review of intrapulmonary solitary fibrous tumor.

Ye Liu, Yongkang Nie

Open access · diamondAbstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 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
–field-weighted citation impact, top 66% 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, 0 citations in OpenAlex.

  1. 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

2 authors at 1 institution in 1 country.

Ye LiuRadiology Diagnosis Department, The First Medical Center of Chinese PLA General Hospital, Beijing, China.
Yongkang NieRadiology Diagnosis Department, The First Medical Center of Chinese PLA General Hospital, Beijing, China.
Chinese PLA General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Solitary fibrous tumor (SFT) of the chest mainly arises from the pleura, but intrapulmonary SFT is rare. This study aimed to review and discuss the chest multislice computed tomography (MSCT) and magnetic resonance imaging (MRI) findings of intrapulmonary SFT and summarize existing literature on the disease in order to improve clinicians' understanding and diagnosis of this disease. Methods: The imaging findings and clinical data of 4 surgically and pathologically confirmed intrapulmonary SFT cases were retrospectively analyzed in terms of location, morphology, size, density, border, enhancement level of the lesion, and its relationship with surrounding tissue. These findings were combined with a review of 61 cases reported in the literature to characterize the features of intrapulmonary SFT. Results: A total of 65 patients with intrapulmonary SFT were reviewed, consisting of 30 females and 35 males. Of these cases, 21 had a lesion in the left lower lobe, more than in any other part of the lungs. The lesions were clear, had a quasicircular boundary, and were distinctly separated from surrounding tissue. Under plain scan, the 4 cases investigated in this study showed lesions of even density, and enhanced scanning revealed geographic enhancement in 2 cases. Of the 65 cases examined, 56 cases were benign, and the remaining 9 cases were borderline or malignant. Conclusions: The imaging findings of intrapulmonary SFT demonstrated certain features, such as lesions with a clear boundary and even density. Imaging examination is important for the diagnosis and differential diagnosis of this disease.

Indexed as

chestchest magnetic resonance imaging (MRI)enhanced scanIntrapulmonary solitary fibrous tumor (SFT)multislice computed tomography (MSCT)

Identifiers

PMID38106305
PMCPMC10722068
OpenAlexW4388973660

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.