Evidence map›Paper›PMID 41928032›Full record

ArticleEJNMMI research2026

Evaluation of a clinically efficient [

Yingqin Jia, Rui Qiu, Chunlei Han, Fan Zhang, Sheng Zhang, Dan Zhao, Xiang-Guo Li, Xiaoqing Zhuang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in EJNMMI research, 2026. 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
–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

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

8 authors.

Yingqin Jia *Nuclear Medicine Department, General Hospital of Ningxia Medical University, Yinchuan, China.
Rui Qiu *Department of General Thoracic Surgery, General Hospital of Ningxia Medical University, Yinchuan, China.
Chunlei HanTurku PET Centre, University of Turku, Turku University Hospital, Turku, Finland.
Fan ZhangNuclear Medicine Department, General Hospital of Ningxia Medical University, Yinchuan, China.
Sheng ZhangDepartment of General Thoracic Surgery, General Hospital of Ningxia Medical University, Yinchuan, China.
Dan ZhaoDepartment of Radiology, Guangdong Provincial Hospital of Traditional Chinese Medicine, Zhuhai, China.
Xiang-Guo LiTurku PET Centre, University of Turku, Turku University Hospital, Turku, Finland.
Xiaoqing ZhuangNuclear Medicine Department, General Hospital of Ningxia Medical University, Yinchuan, China. xiaoqing.zhuang@utu.fi.ORCID http://orcid.org/0000-0001-8652-8540

Funding

Ningxia Medical University XM2019054
6 · The paper itself

Abstract

backgroundPulmonary lesions affect a large population globally, posing huge challenges in clinical management and public healthcare. Functional imaging-based diagnosis facilitates the classification and treatment planning for pulmonary lesions. [

resultsForty patients with pulmonary lesions confirmed by histopathology (28 malignant, 12 non-malignant) were included in the analysis. Kinetic parameters were derived from time-activity curves generated by integrating dynamic and static data points using different compartment models with image-derived input functions. Semi-quantitative parameters, including maximum standardized uptake value (SUV

conclusionsThe combined 10-min dynamic and two-phase static [

Indexed as

[18F]FDG PET/CTDelayed imagingDiagnostic accuracyDynamic PETKiKinetic parametersPulmonary lesionsTumor-to-blood ratio

Identifiers

PMID41928032
PMCPMC13172078

What OpenQuestion holds

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Read underepoch 390

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.