Evidence map›Paper›PMID 36237546›Full record

ArticleFrontiers in medicine2022

Dual-tracer positron emission tomography/computed tomography as an imaging probe of

Chin-Ho Tsao, Rong-Hong Jhou, Chien-Chih Ke, Chun-Wei Chang, Chi-Wei Chang, Bang-Hung Yang, Wen-Sheng Huang, Bing-Fu Shih, Ren-Shyan Liu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2022. 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
0.4field-weighted citation impact, top 46% of its field
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, 4 citations in OpenAlex.

  1. Review
  2. 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

9 authors at 5 institutions in 1 country.

Chin-Ho TsaoDepartment of Nuclear Medicine, Mackay Memorial Hospital, Taipei, Taiwan.
Rong-Hong JhouDepartment of Nuclear Medicine and National PET/Cyclotron Center, Taipei Veterans General Hospital, Taipei, Taiwan.
Chien-Chih KeDepartment of Medical Imaging and Radiological Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan.
Chun-Wei ChangInstitute of Fisheries Science, National Taiwan University, Taipei, Taiwan.
Chi-Wei ChangDepartment of Nuclear Medicine and National PET/Cyclotron Center, Taipei Veterans General Hospital, Taipei, Taiwan.
Bang-Hung YangDepartment of Nuclear Medicine and National PET/Cyclotron Center, Taipei Veterans General Hospital, Taipei, Taiwan.
Wen-Sheng HuangDepartment of Nuclear Medicine and National PET/Cyclotron Center, Taipei Veterans General Hospital, Taipei, Taiwan.
Bing-Fu ShihDepartment of Nuclear Medicine, Mackay Memorial Hospital, Taipei, Taiwan.
Ren-Shyan LiuInstitute of Clinical Medicine, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Taipei Veterans General Hospital · TWKaohsiung Medical University · TWMackay Memorial Hospital · TWNational Taiwan University · TWNational Yang Ming Chiao Tung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: We investigated the association between Results: Dual-tracer PET/CT revealed the lipogenic activity of various HCC cells, which was positively associated with Conclusion: The proposed non-invasive dual-tracer PET/CT imaging can reveal the lipogenesis and glycolysis status of HCC, thus providing an ideal imaging probe for predicting the therapeutic response of HCC to lipogenesis-targeted therapy.

Indexed as

cancer metabolismcancer therapyde novo lipogenesishepatocellular carcinomaimaging probelipogenesis-targeted therapyPET/CT

Identifiers

PMID36237546
PMCPMC9551611
OpenAlexW4297370223

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.