Evidence map›Paper›PMID 37855851›Full record

ArticleEuropean radiology2024

Amide proton transfer-weighted imaging and derived radiomics in the classification of adult-type diffuse gliomas.

Minghao Wu, Tongling Jiang, Min Guo, Yunyun Duan, Zhizheng Zhuo, Jinyuan Weng, Cong Xie, Jun Sun, Junjie Li, Dan Cheng and 5 more

Abstract read
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In one paragraph

Article in European radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
8.1field-weighted citation impact, top 2% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 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 6 institutions in 2 countries.

Minghao WuDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Tongling JiangKey Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, Zhejiang, China.
Min GuoDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yunyun DuanDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Zhizheng ZhuoDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Jinyuan WengDepartment of Medical Imaging Product, Neusoft, Group Ltd, Shenyang, 110179, China.
Cong XieDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Jun SunDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Junjie LiDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Dan ChengDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xing LiuDepartment of Neuropathology, Beijing Neurosurgical Institute, Beijing, 10070, China.
Jiang DuDepartment of Neuropathology, Beijing Neurosurgical Institute, Beijing, 10070, China.
Xianchang ZhangMR Collaboration, Siemens Healthineers Ltd, Beijing, China.
Yi ZhangKey Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, Zhejiang, China. yizhangzju@zju.edu.cn.
Yaou LiuDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China. yaouliu80@163.com.ORCID http://orcid.org/0000-0002-9930-0331
Capital Medical University · CNBeijing Institute of Neurosurgery · CNMinistry of Education · NZNeusoft (China) · CNSiemens (China) · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the utility of amide proton transfer-weighted (APTw) MRI imaging and its derived radiomics in classifying adult-type diffuse glioma. MATERIALS AND

methodsIn this prospective study, APTw imaging was performed on 129 patients with adult-type diffuse gliomas. The mean APTw-related metrics (chemical exchange saturation transfer ratio (CESTR), CESTR normalized with the reference value (CESTR

resultsCESTR, CESTR

conclusionAPTw imaging, along with its derived radiomics, presents a promising quantitative approach for prediction IDH mutation and grading adult-type diffuse glioma. CLINICAL RELEVANCE STATEMENT: Amide proton transfer-weighted imaging, a quantitative imaging biomarker, coupled with its derived radiomics, offers a promising non-invasive approach for predicting IDH mutation status and grading adult-type diffuse gliomas, thereby informing individualized clinical diagnostics and treatment strategies. KEY POINTS: • This study evaluates the differences of different amide proton transfer-weighted metrics across three molecular subtypes and their efficacy in classifying adult-type diffuse glioma. • Chemical exchange saturation transfer ratio normalized with the reference value and relaxation-compensated inverse magnetization transfer ratio effectively predicts IDH mutation/grading, notably the first one. • Amide proton transfer-weighted imaging and its derived radiomics holds potential to be used as a diagnostic tool in routine clinical characterizing adult-type diffuse glioma.

Indexed as

Brain NeoplasmsGliomaMagnetic Resonance ImagingProtonsAdultAgedAmidesFemaleHumansMaleMiddle AgedProspective StudiesRadiomicsSensitivity and SpecificitySupport Vector MachineYoung AdultAmidesProtonsAmidesClassificationGliomasMagnetic resonance imagingSupport vector machine

Identifiers

PMID37855851
OpenAlexW4387765494

What OpenQuestion holds

Textmetadata
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.