Evidence map›Paper›PMID 34829485›Full record

ArticleDiagnostics (Basel, Switzerland)2021

Low-Dose PET Imaging of Tumors in Lung and Liver Regions Using Internal Motion Estimation.

Sang-Keun Woo, Byung-Chul Kim, Eun Kyoung Ryu, In Ok Ko, Yong Jin Lee

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2021. 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, top 78% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

5 authors at 2 institutions in 1 country.

Sang-Keun WooDivision of RI-Convergence Research, Korea Institute of Radiology and Medical Sciences, Seoul 01812, Korea.ORCID 0000-0002-6728-8876
Byung-Chul KimDivision of RI-Convergence Research, Korea Institute of Radiology and Medical Sciences, Seoul 01812, Korea.
Eun Kyoung RyuCenter of Magnetic Resonance Research, Korea Basic Science Institute, Ochang 28119, Korea.
In Ok KoDivision of RI-Convergence Research, Korea Institute of Radiology and Medical Sciences, Seoul 01812, Korea.
Yong Jin LeeDivision of RI-Convergence Research, Korea Institute of Radiology and Medical Sciences, Seoul 01812, Korea.
Korea Institute of Radiological and Medical Sciences · KRKorea Basic Science Institute · KR

Funding

National Research Foundation of Korea 2019M2D2A1A02057204National Research Foundation of Korea No. 2020M2D9A1094070
6 · The paper itself

Abstract

Motion estimation and compensation are necessary for improvement of tumor quantification analysis in positron emission tomography (PET) images. The aim of this study was to propose adaptive PET imaging with internal motion estimation and correction using regional artificial evaluation of tumors injected with low-dose and high-dose radiopharmaceuticals. In order to assess internal motion, molecular sieves imitating tumors were loaded with

Indexed as

animal modelimagingradioisotoperatrespiratory organ

Identifiers

PMID34829485
PMCPMC8625002
OpenAlexW3211983033

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.