Evidence map›Paper›PMID 40313253›Full record

ArticleFrontiers in oncology2025

The diagnostic value of advanced tracer kinetic models in evaluating high grade gliomas recurrence and treatment response using dynamic contrast-enhanced MRI.

Jianan Zhou, Zujun Hou, Xiuqi Guan, Zhengyang Zhu, Han Wang, Cong Wang, Wei Luo, Chuanshuai Tian, Huiquan Yang, Meiping Ye and 3 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

13 authors.

Jianan ZhouDepartment of Radiology, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China.
Zujun HouThe Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China.
Xiuqi GuanFISCA Healthcare Co., Ltd., Nanjing, China.
Zhengyang ZhuInstitute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China.
Han WangNanjing Center for Applied Mathematics, Nanjing, China.
Cong WangSchool of Electronics and Information Engineering, Suzhou Vocational University, Suzhou, China.
Wei LuoFISCA Healthcare Co., Ltd., Nanjing, China.
Chuanshuai TianDepartment of Radiology, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China.
Huiquan YangInstitute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China.
Meiping YeInstitute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China.
Sixuan ChenInstitute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China.
Xin ZhangDepartment of Radiology, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China.
Bing ZhangDepartment of Radiology, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The purpose of this study was to investigate the diagnostic value of advanced tracer kinetic models (TKMs) in differentiating HGGs recurrence and treatment response. Methods: A total of 52 HGGs were included. DCE images were analyzed using the following TKMs: distributed parameter (DP), tissue homogeneity (TH), Brix's two-compartment (Brix) and extended-Tofts model (ETM), yielding the following parameters: cerebral blood flow (CBF), mean transit time (MTT), plasma volume (V Results: The difference on the normalized kinetic parameter value (with respect to contralateral normal-appearing white matter) between two MRI scanners was statistically insignificant ( Conclusion: MTT (DP, TH), and V

Indexed as

dynamic contrast-enhancedhigh grade gliomarecurrencetracer kinetic modeltreatment response

Identifiers

PMID40313253
PMCPMC12043873

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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.