Evidence map›Paper›PMID 33299387›Full record

ArticleContrast media & molecular imaging2020

Application of Distributed Parameter Model to Assessment of Glioma IDH Mutation Status by Dynamic Contrast-Enhanced Magnetic Resonance Imaging.

Zongfang Li, Wei Zhao, Bo He, Tong San Koh, Yanxi Li, Yizhen Zeng, Zhuo Zhang, Jingzhong Zhang, Zujun Hou

Open access · hybridAbstract read
In one paragraph

Article in Contrast media & molecular imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

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  5. Applying dynamic contrast-enhanced MRI tracer kinetic models to differentiate benign and malignant soft tissue tumors.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
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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

9 authors at 4 institutions in 2 countries.

Zongfang LiDepartment of Radiology, The First Affiliated Hospital, Kunming Medical University, Kunming 650032, China.
Wei ZhaoDepartment of Radiology, The First Affiliated Hospital, Kunming Medical University, Kunming 650032, China.
Bo HeDepartment of Radiology, The First Affiliated Hospital, Kunming Medical University, Kunming 650032, China.
Tong San KohDepartment of Oncologic Imaging, National Cancer Center, Singapore 169610.
Yanxi LiDepartment of Anatomical & Cellular Pathology, The First Affiliated Hospital, Kunming Medical University, Kunming 650032, China.
Yizhen ZengDepartment of Radiology, The First Affiliated Hospital, Kunming Medical University, Kunming 650032, China.
Zhuo ZhangInstitute for Infocomm Research, 1 Fusionopolis Way, #21-01 Connexis, Singapore 138632.
Jingzhong ZhangSuzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China.
Zujun HouSuzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China.ORCID 0000-0002-3354-7358
Kunming Medical University · CNChinese Academy of Sciences · CNDuke-NUS Medical School · SGInstitute for Infocomm Research · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies using contrast-enhanced imaging for glioma isocitrate dehydrogenase (IDH) mutation assessment showed promising yet inconsistent results, and this study attempts to explore this problem by using an advanced tracer kinetic model, the distributed parameter model (DP). Fifty-five patients with glioma examined using dynamic contrast-enhanced imaging sequence at a 3.0 T scanner were retrospectively reviewed. The imaging data were processed using DP, yielding the following parameters: blood flow

Indexed as

MutationAdultAgedBrain NeoplasmsContrast MediaFemaleFollow-Up StudiesGliomaHumansIsocitrate DehydrogenaseMagnetic Resonance ImagingMaleMiddle AgedPrognosisRetrospective StudiesROC CurveContrast MediaIsocitrate Dehydrogenase

Identifiers

PMID33299387
PMCPMC7704178
OpenAlexW3108086135

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.