Evidence map›Paper›PMID 37997577›Full record

ArticleIEEE transactions on radiation and plasma medical sciences2023

Generation of Whole-Body FDG Parametric

Tianshun Miao, Bo Zhou, Juan Liu, Xueqi Guo, Qiong Liu, Huidong Xie, Xiongchao Chen, Ming-Kai Chen, Jing Wu, Richard E Carson and 1 more

Abstract read
In one paragraph

Article in IEEE transactions on radiation and plasma medical sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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.

Tianshun MiaoDepartment of Radiology and Biomedical Imaging, Yale University, New Haven, CT 06511, USA.
Bo ZhouDepartment of Biomedical Engineering, Yale University, New Haven, CT 06511, USA.
Juan LiuDepartment of Radiology and Biomedical Imaging, Yale University, New Haven, CT 06511, USA.
Xueqi GuoDepartment of Biomedical Engineering, Yale University, New Haven, CT 06511, USA.
Qiong LiuDepartment of Biomedical Engineering, Yale University, New Haven, CT 06511, USA.
Huidong XieDepartment of Biomedical Engineering, Yale University, New Haven, CT 06511, USA.
Xiongchao ChenDepartment of Biomedical Engineering, Yale University, New Haven, CT 06511, USA.
Ming-Kai ChenDepartment of Radiology and Biomedical Imaging, Yale University, New Haven, CT 06511, USA.
Jing WuDepartment of Radiology and Biomedical Imaging, Yale University, New Haven, CT 06511, USA.
Richard E CarsonDepartment of Radiology and Biomedical Imaging, Yale University, New Haven, CT 06511, USA.
Chi LiuDepartment of Radiology and Biomedical Imaging, Yale University, New Haven, CT 06511, USA.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Generation of parametric images for FDG PET using dual-time-point scansR03EB027864 · NIBIB · YALE UNIVERSITY · PI LIU, CHI · 2020 to 2021
$164k
NCATS NIH HHS UL1 TR001863NIBIB NIH HHS R03 EB027864
6 · The paper itself

Abstract

FDG parametric

Indexed as

deep learningFDG PETparametric Ki image

Identifiers

PMID37997577
PMCPMC10665031

What OpenQuestion holds

Textmetadata
LicenceTDM
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.