Evidence map›Paper›PMID 39984874›Full record

ArticleBMC cancer2025

Metabolic and multi-model intravoxel incoherent motion parameters based

Zhun Huang, Huihui Wang, Fang Ting, Yang Chen, Hengquan Fan, Xiaochen Li, Fangfang Fu, Jianmin Yuan, Yang Yang, Zhe Wang and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC cancer, 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.

Zhun Huang *Department of Radiology, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, 7 Weiwu Road, Zhengzhou, 450000, Henan, PR China.
Huihui Wang *Department of Anaesthesia and Perioperative Medicine, Xinxiang Central Hospital, Xinxiang, Henan, China.
Fang Ting *Department of Radiology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Yang ChenDepartment of Radiology, the People's Hospital of Zhengyang County, Zhengyang, China.
Hengquan FanDepartment of Radiology, Bethune International Peace Hospital, Shijiazhuang, Hebei, China.
Xiaochen LiDepartment of Radiology, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, 7 Weiwu Road, Zhengzhou, 450000, Henan, PR China.
Fangfang FuDepartment of Radiology, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, 7 Weiwu Road, Zhengzhou, 450000, Henan, PR China.
Jianmin YuanCentral Research Institute, United Imaging Healthcare Group, Shanghai, China.
Yang YangBeijing United Imaging Research Institute of Intelligent Imaging, United Imaging Healthcare Group, Beijing, China.
Zhe WangCentral Research Institute, United Imaging Healthcare Group, Shanghai, China.
Meiyun WangDepartment of Radiology, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, 7 Weiwu Road, Zhengzhou, 450000, Henan, PR China. mywang@zzu.edu.cn.

Funding

the Joint Fund of Henan Province Science and Technology R&D Program 225200810062the National Key R&D Program of China 2017YFE0103600The National Natural Science Foundation of China 82371934
6 · The paper itself

Abstract

backgroundTo differentiate inoperable non-small cell lung cancer (NSCLC) subtypes by mono-exponential (MEM), bi-exponential (BEM), and stretched- exponential models (SEM) intravoxel incoherent motion (IVIM), and MATERIALS AND

methodsA total of 106 cases of NSCLC were included in this analysis, of which 68 cases were adenocarcinoma (AC) and 38 cases were squamous cell carcinoma (SCC). MEM derived parameter ADC; BEM derived parameters D, D*, and f, SEM derived parameters α, DDC; and

resultsSUV

conclusionThe stage, ADC, and TLG were independent predictors for differentiating subtypes of inoperable NSCLC, and when combined they showed optimal diagnostic performance and could be a superior imaging marker.

Indexed as

Carcinoma, Non-Small-Cell LungFluorodeoxyglucose F18Lung NeoplasmsMagnetic Resonance ImagingPositron-Emission TomographyAdultAgedAged, 80 and overCarcinoma, Squamous CellFemaleHumansMaleMiddle AgedRadiopharmaceuticalsRetrospective StudiesROC CurveFluorodeoxyglucose F18RadiopharmaceuticalsCarcinomaDiffusion magnetic resonance imagingFluorodeoxyglucose F18Non-small-cell lungPositron-emission tomography

Identifiers

PMID39984874
PMCPMC11846224

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Registered trials

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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.