Evidence map›Paper›PMID 30673306›Full record

Trial reportThe British journal of radiology2019

Quantitative analysis of image metrics for reduced and standard dose pediatric

Pietro Zucchetta, Marco Branchini, Alessandra Zorz, Valentina Bodanza, Diego Cecchin, Marta Paiusco, Franco Bui

Abstract readClinical Trial
In one paragraph

Trial report in The British journal of radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. The effect of modern PET technology and techniques on the EANM paediatric dosage card.European journal of nuclear medicine and molecular imaging · 2022
    Article
  7. Validation of Deep Learning-based Augmentation for ReducedRadiology. Artificial intelligence · 2021
    Article
  8. A dedicated paediatric [EJNMMI research · 2021
    Article
  9. [Frontiers in medicine · 2021
    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

7 authors at 2 institutions in 1 country.

Pietro Zucchetta1 Nuclear Medicine Unit, Department of Medicine DIMED, University-Hospital of Padova , Padova , Italy.ORCID http://orcid.org/0000-0002-8769-584X
Marco Branchini2 Medical Physics Department, Veneto Institute of Oncology IOV-IRCCS , Padova , Italy.
Alessandra Zorz2 Medical Physics Department, Veneto Institute of Oncology IOV-IRCCS , Padova , Italy.
Valentina Bodanza1 Nuclear Medicine Unit, Department of Medicine DIMED, University-Hospital of Padova , Padova , Italy.
Diego Cecchin1 Nuclear Medicine Unit, Department of Medicine DIMED, University-Hospital of Padova , Padova , Italy.
Marta Paiusco2 Medical Physics Department, Veneto Institute of Oncology IOV-IRCCS , Padova , Italy.
Franco Bui1 Nuclear Medicine Unit, Department of Medicine DIMED, University-Hospital of Padova , Padova , Italy.
University of Padua · ITIstituto Oncologico Veneto · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objective: The study performs a comprehensive analysis of image metrics to objectively support the reduction of injected activity in pediatric oncology

methods: 21 PET/MRI examinations performed on a 3-Tesla Biograph mMR scanner were analyzed. Tracer activity reduction was stimulated by decreasing the count statistics of the original list-mode data (3 MBq kg

results: SUVmax and SUVmean increased more than 5% only in 0.6 MBq kg

conclusion: Results about the stability of image metrics beyond the semi-quantitative SUV parameters and subjective analysis, rigorously proves the feasibility of the reduction of injected activity to 1.5 MBqkg ADVANCES IN KNOWLEDGE:: This is the first report on the quantitative evaluation of the effect of activity reduction on image quality in pediatric PET/MR. The findings offer objective corroboration to the feasibility of a significant dose reduction without consequences on clinical image reading and tumor burden metrics.

Indexed as

AdolescentChildFemaleFluorodeoxyglucose F18HumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMultimodal ImagingNeoplasmsPositron-Emission TomographyTumor BurdenFluorodeoxyglucose F18

Identifiers

PMID30673306
PMCPMC6541180
OpenAlexW2913388507

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.