Evidence map›Paper›PMID 40358858›Full record

ArticleEuropean radiology experimental2025

Comparison of four MRI diffusion models to differentiate benign from metastatic retropharyngeal lymph nodes.

Jun Liu, Li Hua, Fei Wang, Ming Chen, Yinan Sun, Zhi Hu, Luqing Shu, Andong He, Mengxiao Liu, Qing Yang and 2 more

Abstract readComparative Study
In one paragraph

Article in European radiology experimental, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Jun LiuDepartment of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Li HuaDepartment of Laboratory Medicine, Anqing Medical Center of Anhui Medical University, Anqing, China.
Fei WangDepartment of Medical Imaging, Anqing Medical Center of Anhui Medical University, Anqing, China.
Ming ChenDepartment of Medical Imaging, Anqing Medical Center of Anhui Medical University, Anqing, China.
Yinan SunDepartment of Medical Imaging, Anqing Medical Center of Anhui Medical University, Anqing, China.
Zhi HuDepartment of Medical Imaging, Anqing Medical Center of Anhui Medical University, Anqing, China.
Luqing ShuDepartment of Medical Imaging, Anqing Medical Center of Anhui Medical University, Anqing, China.
Andong HeDepartment of Medical Imaging, Anqing Medical Center of Anhui Medical University, Anqing, China.
Mengxiao LiuMR Search & Marketing Department, Siemens Healthineers Co., Ltd., Shanghai, China.
Qing YangDepartment of Medical Imaging, Anqing Medical Center of Anhui Medical University, Anqing, China. 56469225@qq.com.ORCID http://orcid.org/0000-0002-9641-3170
Juan ZhuDepartment of Medical Imaging, Anqing Medical Center of Anhui Medical University, Anqing, China. 55522670@qq.com.
Yinfeng QianDepartment of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China. 894206876@qq.com.

Funding

Key Projects of Natural Science Research in Universities of Anhui Province 2024AH050749Youth Science Fund Projects of Anhui Medical University 2021xjk114
6 · The paper itself

Abstract

backgroundConventional magnetic resonance diffusion-weighted imaging (DWI) and morphological features have limitations in distinguishing benign from metastatic retropharyngeal lymph nodes (RLNs). We aimed to compare the value of continuous-time random walk (CTRW), fractional-order calculus (FROC), stretched-exponential model (SEM), and conventional DWI, in combination with morphological features, for differentiating between the two groups.

methodsFifty-nine patients with 68 RLNs (23 benign and 45 metastatic) were enrolled. All patients underwent DWI with 12 b-values. Diffusion data were reconstructed using conventional DWI, SEM, FROC, and CTRW models, yielding nine parameters: apparent diffusion coefficient (ADC), distributed diffusion coefficient (DDC)

resultsSignificant differences in diffusion parameters were found between benign and metastatic RLNs, except for α

conclusionβ RELEVANCE STATEMENT: This study demonstrates that β KEY POINTS: Non-Gaussian diffusion metrics outperformed conventional DWI. β

Indexed as

Diffusion Magnetic Resonance ImagingLymphatic MetastasisLymph NodesAdultAgedDiagnosis, DifferentialFemaleHumansMaleMiddle AgedDiffusion magnetic resonance imagingLymph nodesMagnetic resonance imagingNeoplasm metastasisRetropharyngeal space

Identifiers

PMID40358858
PMCPMC12075726

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