Evidence map›Paper›PMID 31306406›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2019

Imaging Analysis of Ganglioneuroma and Quantitative Analysis of Paraspinal Ganglioneuroma.

Li Luo, Xue Zheng, Kai-Zhong Tao, Jiang Zhang, Yue-Yang Tang, Fu-Gang Han

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

7 citing papers in PubMed, 8 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

6 authors at 2 institutions in 1 country.

Li LuoDepartment of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China (mainland).
Xue ZhengDepartment of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China (mainland).
Kai-Zhong TaoDepartment of Neurosurgery, The People's Hospital of Zhongjiang, Deyang, Sichuan, China (mainland).
Jiang ZhangDepartment of Thoracic Surgery, The People's Hospital of Zhongjiang, Deyang, Sichuan, China (mainland).
Yue-Yang TangDepartment of Pathology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China (mainland).
Fu-Gang HanDepartment of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China (mainland).
Affiliated Hospital of Southwest Medical University · CNZhongshan People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND This study evaluated the imaging features of ganglioneuroma (GN) and assessed the diagnostic value of the enhancement rate (ER) of CT for GN. MATERIAL AND METHODS We retrospectively reviewed records of 49 patients with histopathologically confirmed GN who underwent preoperative contrast-enhanced CT or MRI between 2010 and 2018. The independent samples t test and chi-square test were used. Receiver operating characteristic (ROC) curves were generated to analyze the diagnostic sensitivity (SE) and specificity (SP). Positive predictive value (PPV) and negative predictive value (NPV) were calculated. RESULTS The CT values were 32.59±3.61 Hounsfield units (HU) for plain scans, 38.87±5.09 HU for the arterial phase, and 54.26±8.14 HU for the venous phase, and the incidence of calcification and cysts was 32.6% and 10.2%, respectively. There was no significant difference in CT results and clinical parameters between mediastinal ganglioneuroma (MGN) and retroperitoneal ganglioneuroma (RGN) (p>0.05). The area under the curves (AUCs) for the arterial enhancement rate (AER), venous enhancement rate (VER), and AER/VER combined index in diagnosing GN were 0.735, 0.980, and 0.990, respectively. The VER of 0.2819 exhibited the SE and SP at 92.9% and 92.9%, respectively, to characterize the GN, whereas the AER of 0.1779 had SE and SP of 52.4% and 90.5%, respectively. The SE and SP for the combined index were 88.1% and 100%, respectively. The GN showed hypointensity on T1WI, hyperintense, or slightly high signal on T2WI with the linear hypointensity, and hyperintense on DWI. CONCLUSIONS A hypodense mass was observed for GN on plain scan and presented delayed enhancement on contrast enhancement. VER or AER/VER combination is more accurate than AER for the diagnosis of paravertebral GN.

Indexed as

AdolescentAdultChildChild, PreschoolContrast MediaDiagnosis, DifferentialFemaleGanglioneuromaHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedParaspinal MusclesRetrospective StudiesROC CurveContrast Media

Identifiers

PMID31306406
PMCPMC6647925
OpenAlexW2958801951

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.