Evidence map›Paper›PMID 32997164›Full record

ArticleNeuroradiology2021

Comparison of amide proton transfer imaging and magnetization transfer imaging in revealing glioma grades and proliferative activities: a histogram analysis.

Changliang Su, Jingjing Jiang, Chengxia Liu, JingJing Shi, Shihui Li, Xiaowei Chen, Qilin Ao

Abstract read
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In one paragraph

Article in Neuroradiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 29% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 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

7 authors at 3 institutions in 1 country.

Changliang Su *Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, China. suchangliang2008@163.com.ORCID http://orcid.org/0000-0002-4418-5823
Jingjing Jiang *Department of Radiology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, No. 1095 JieFang Avenue, Hankou, Wuhan, 430030, People's Republic of China.
Chengxia LiuDepartment of Radiology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, No. 1095 JieFang Avenue, Hankou, Wuhan, 430030, People's Republic of China.
JingJing ShiDepartment of Radiology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, No. 1095 JieFang Avenue, Hankou, Wuhan, 430030, People's Republic of China.
Shihui LiDepartment of Radiology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, No. 1095 JieFang Avenue, Hankou, Wuhan, 430030, People's Republic of China.
Xiaowei ChenThe Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Qilin AoDepartment of Pathology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, No. 1095 JieFang Avenue, Hankou, Wuhan, 430030, People's Republic of China.
Tongji Hospital · CNCentral Hospital of Wuhan · CNSun Yat-sen University · CN

Funding

the National Program of the Ministry of Science and Technology of China during the "12th Five-Year Plan" 2011BAI08B10the National Program of the Ministry of Science and Technology of China during the "12th Five-Year Plan" No. 81171308, No. 81570462, and No. 81730049
6 · The paper itself

Abstract

purposeComprehensive understanding glioma metabolic characters is of great help for patient management. We aimed to compare amide proton transfer imaging (APTw) and magnetization transfer imaging (MT) in predicting glioma malignancy and reflecting tumor proliferation.

methodsThirty low-grade gliomas (LGGs) and 39 high-grade gliomas (HGGs) were prospectively included, of which 58 samples Ki-67 levels were quantified. Anatomical MRI, APTw, and MT were scanned, and magnetization transfer ratio (MTR) and asymmetric magnetic transfer ratio at 3.5 ppm (MTR

resultsThe maximum correlation coefficient (R) values of APTw were 0.526 (p < 0.001) with tumor grades and 0.397 (p < 0.001) with Ki-67 at 90th percentiles, while only 5th and 25th percentiles of MT significantly correlated with tumor grades. Moreover, APTw features were significantly different in LGGs and HGGs, except 5th percentile. The most significantly different feature was 95th percentile, providing the excellent AUC of 0.808. However, the best feature in MTR was 5th percentiles with AUC of 0.703. Combing 5th and 95th of APTw achieved highest AUC Of 0.837.

conclusionsBoth APTw and MT provide quantitative information for tumor metabolite imaging. However, APTw supplys more specific information in reflecting glioma biological behaviors than MT, and well differentiates glioma malignancy.

Indexed as

Brain NeoplasmsGliomaAmidesHumansMagnetic Resonance ImagingProtonsAmidesProtonsAmide proton transfer imagingMagnetic resonance imagingMagnetization transfer imagingTumor gradingTumor proliferation

Identifiers

PMID32997164
OpenAlexW3091433343

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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.