Evidence map›Paper›PMID 39665998›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2025

Distinguishing benign from malignant lesions with high [

Ruohua Chen, Xinlan Yang, Lianghua Li, Haitao Zhao, Gang Huang, Jianjun Liu

Abstract read
PubMed Publisher
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Parametric mapping of dynamicCancer imaging : the official publication of the International Cancer Imaging Society · 2026
    Article
  4. Review
  5. Review
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

6 authors.

Ruohua ChenDepartment of Nuclear Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, 200127, China.
Xinlan YangCentral Research Institute, United Imaging Healthcare Group Co., Ltd, Shanghai, China.
Lianghua LiDepartment of Nuclear Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, 200127, China.
Haitao ZhaoDepartment of Nuclear Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, 200127, China.
Gang HuangDepartment of Nuclear Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, 200127, China. huang2802@163.com.
Jianjun LiuDepartment of Nuclear Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, 200127, China. nuclearj@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeWhile [

methodsDynamic total-body [

resultsThe study included 58 malignant and 55 inflammatory lesions with high [

conclusionsKinetic metrics, particularly K

Indexed as

NeoplasmsPositron Emission Tomography Computed TomographyWhole Body ImagingAdultAgedAged, 80 and overBiological TransportDiagnosis, DifferentialFemaleHumansMaleMiddle AgedQuinolines68Ga-FAPIQuinolinesBenign lesionsDynamic total-body [68 Ga]Ga-FAPI-04 PETKinetic metricsOncology patients

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.