Evidence map›Paper›PMID 40727335›Full record

ArticleQuantitative imaging in medicine and surgery2025

Continuous-time random walk and fractional order calculus models histogram analysis of glioma biomarkers, including

Yujie Ding, Hongquan Zhu, Yuanhao Li, Yufei Liu, Yan Xie, Jiaxuan Zhang, Yan Fu, Shihui Li, Li Li, Nanxi Shen and 1 more

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2025. 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

11 authors.

Yujie DingDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID https://orcid.org/0009-0007-7719-7402
Hongquan ZhuDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yuanhao LiDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yufei LiuDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yan XieDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jiaxuan ZhangDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yan FuDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Shihui LiDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Li LiDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Nanxi ShenDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID https://orcid.org/0000-0003-0805-0902
Wenzhen ZhuDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID https://orcid.org/0000-0001-6252-9450

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The focus of neuro-oncology research has changed from histopathologic grading to molecular characteristics, and medical imaging routinely follows this change. This study aimed to demonstrate the feasibility of using continuous-time random walk (CTRW) and fractional order calculus (FROC) models, together with histogram analysis, in identifying the states of molecular biomarkers of diffuse gliomas in adults. Methods: A total of 111 diffuse glioma patients undergoing multi-b-value diffusion-weighted imaging (DWI) were included. The histogram parameters of CTRW, FROC, and mono-exponential models were compared between diffuse gliomas with different molecular states [isocitrate dehydrogenase 1 ( Results: Statistically significant differences (P<0.05) were found between Conclusions: The CTRW and FROC models demonstrate good diagnostic performance in predicting different molecular subtypes in diffuse gliomas, and provide new imaging biomarkers for probing tumor structural heterogeneity at a subvoxel level.

Indexed as

Continuous-time random walk (CTRW)fractional order calculus (FROC)gliomahistogram analysisisocitrate dehydrogenase 1 (IDH1)

Identifiers

PMID40727335
PMCPMC12290656

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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.