Evidence map›Paper›PMID 36295803›Full record

ArticleMetabolites2022

Noninvasive Delineation of Glioma Infiltration with Combined 7T Chemical Exchange Saturation Transfer Imaging and MR Spectroscopy: A Diagnostic Accuracy Study.

Yifan Yuan, Yang Yu, Yu Guo, Yinghua Chu, Jun Chang, Yicheng Hsu, Patrick Alexander Liebig, Ji Xiong, Wenwen Yu, Danyang Feng and 5 more

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.1field-weighted citation impact, top 27% 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

14 citing papers in PubMed, 14 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

15 authors at 3 institutions in 2 countries.

Yifan YuanDepartment of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China.
Yang YuNational Center for Neurological Disorders, Shanghai 201112, China.
Yu GuoDepartment of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China.
Yinghua ChuMR Collaboration, Siemens Healthineers Ltd., Shanghai 310000, China.
Jun ChangDepartment of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China.
Yicheng HsuMR Collaboration, Siemens Healthineers Ltd., Shanghai 310000, China.
Patrick Alexander LiebigSiemens Healthcare GmbH, Henkestr. 127, 91052 Erlangen, Germany.
Ji XiongNational Center for Neurological Disorders, Shanghai 201112, China.
Wenwen YuInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai 200433, China.
Danyang FengInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai 200433, China.
Baofeng YangInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai 200433, China.
Liang ChenDepartment of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China.
He WangInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai 200433, China.ORCID 0000-0002-2053-9439
Qi YueDepartment of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China.
Ying MaoDepartment of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China.ORCID 0000-0001-8055-115X
Fudan University · CNSiemens (China) · CNSiemens Healthineers (Germany) · DE

Funding

National Natural Science Foundation of China 81971583National Natural Science Foundation of China 82127801 and 82272063Shanghai Hospital Development Center SHDC2020CR3073BShanghai Municipal Science and Technology Major Project and ZJLab 2018SHZDZX01
6 · The paper itself

Abstract

For precise delineation of glioma extent, amino acid PET is superior to conventional MR imaging. Since metabolic MR sequences such as chemical exchange saturation transfer (CEST) imaging and MR spectroscopy (MRS) were developed, we aimed to evaluate the diagnostic accuracy of combined CEST and MRS to predict glioma infiltration. Eighteen glioma patients of different tumor grades were enrolled in this study; 18F-fluoroethyltyrosine (FET)-PET, amide proton transfer CEST at 7 Tesla(T), MRS and conventional MR at 3T were conducted preoperatively. Multi modalities and their association were evaluated using Pearson correlation analysis patient-wise and voxel-wise. Both CEST (R = 0.736, p < 0.001) and MRS (R = 0.495, p = 0.037) correlated with FET-PET, while the correlation between CEST and MRS was weaker. In subgroup analysis, APT values were significantly higher in high grade glioma (3.923 ± 1.239) and IDH wildtype group (3.932 ± 1.264) than low grade glioma (3.317 ± 0.868, p < 0.001) or IDH mutant group (3.358 ± 0.847, p < 0.001). Using high FET uptake as the standard, the CEST/MRS combination (AUC, 95% CI: 0.910, 0.907−0.913) predicted tumor infiltration better than CEST (0.812, 0.808−0.815) or MRS (0.888, 0.885−0.891) alone, consistent with contrast-enhancing and T2-hyperintense areas. Probability maps of tumor presence constructed from the CEST/MRS combination were preliminarily verified by multi-region biopsies. The combination of 7T CEST/MRS might serve as a promising non-radioactive alternative to delineate glioma infiltration, thus reshaping the guidance for tumor resection and irradiation.

Indexed as

CESTFET-PETgliomaMRSultra-high field MRI

Identifiers

PMID36295803
PMCPMC9607140
OpenAlexW4297235497

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.