Evidence map›Paper›PMID 33880686›Full record

ArticleJapanese journal of radiology2021

Tumor volume-adapted SUV

Mohammad Amin Mosleh-Shirazi, Zahra Nasiri-Feshani, Pardis Ghafarian, Mehrosadat Alavi, Gholamhasan Haddadi, Ali Ketabi

Abstract read
PubMed Publisher
In one paragraph

Article in Japanese journal of radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. A proper protocol for routineEJNMMI physics · 2023
    Article
  4. Multicenter quantitativeQuantitative imaging in medicine and surgery · 2023
    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

6 authors.

Mohammad Amin Mosleh-ShiraziIonizing and Non-Ionizing Radiation Protection Research Centre, School of Paramedical Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
Zahra Nasiri-FeshaniDepartment of Radiology, School of Paramedical Sciences, Shiraz University of Medical Sciences, Shiraz, Iran. nz551@yahoo.com.
Pardis GhafarianChronic Respiratory Diseases Research Center, National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mehrosadat AlaviIonizing and Non-Ionizing Radiation Protection Research Centre, School of Paramedical Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
Gholamhasan HaddadiIonizing and Non-Ionizing Radiation Protection Research Centre, School of Paramedical Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
Ali KetabiIonizing and Non-Ionizing Radiation Protection Research Centre, School of Paramedical Sciences, Shiraz University of Medical Sciences, Shiraz, Iran. ketabi110@gmail.com.

Funding

Vice-Chancellor for Research, Shiraz University of Medical Sciences 14867-10-01-1396
6 · The paper itself

Abstract

purposeSUV MATERIALS AND

methodsNEMA-like phantom images were reconstructed using OSEM, OSEM + PSF, OSEM + TOF and OSEM + TOF + PSF with two post-smoothing Gaussian filters for different background activity levels. SUV

resultsSUV

conclusionsSUV

Indexed as

AlgorithmsPositron Emission Tomography Computed TomographyFluorodeoxyglucose F18HumansImage Processing, Computer-AssistedNeoplasmsPhantoms, ImagingPositron-Emission TomographyTumor BurdenFluorodeoxyglucose F18FDG-PET/CTImage reconstructionSmall lesionsSUVUptake quantification

Identifiers

PMID33880686

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.