Evidence map›Paper›PMID 39144048›Full record

ArticleQuantitative imaging in medicine and surgery2024

Multiparametric simultaneous hybrid

Ping Liu, Yu-Ping Zeng, Hong Qu, Wan-Yi Zheng, Tian-Xing Zhou, Li-Feng Hang, Gui-Hua Jiang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2024. 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
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.

  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

7 authors.

Ping Liu *Department of Medical Imaging, The Affiliated Guangdong Second Provincial General Hospital, Jinan University, Guangzhou, China.
Yu-Ping Zeng *Department of Medical Imaging, Ganzhou People's Hospital, Ganzhou, China.
Hong QuDepartment of Medical Imaging, The Affiliated Guangdong Second Provincial General Hospital, Jinan University, Guangzhou, China.
Wan-Yi ZhengDepartment of Medical Imaging, The Affiliated Guangdong Second Provincial General Hospital, Jinan University, Guangzhou, China.
Tian-Xing ZhouDepartment of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China.
Li-Feng HangDepartment of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China.
Gui-Hua JiangDepartment of Medical Imaging, The Affiliated Guangdong Second Provincial General Hospital, Jinan University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Preoperative grading gliomas is essential for therapeutic clinical decision-making. Current non-invasive imaging modality for glioma grading were primarily focused on magnetic resonance imaging (MRI) or positron emission tomography (PET) of the tumor region. However, these methods overlook the peritumoral region (PTR) of tumor and cannot take full advantage of the biological information derived from hybrid-imaging. Therefore, we aimed to combine multiparameter from hybrid Methods: A total of 76 patients with pathologically confirmed glioma (41 HGG and 35 LGG) who underwent simultaneous Results: HGGs displayed higher rSUV Conclusions: Multiparametric

Indexed as

18F-fluorodeoxyglucose positron emission tomography/magnetic resonance imaging (18F-FDG PET/MRI)arterial spin labelling (ASL)diffusion-weighted imaging (DWI)Gliomaperitumoral regions (PTRs)

Identifiers

PMID39144048
PMCPMC11320556

What Socratic 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 Socratic graph.