Evidence map›Paper›PMID 34205442›Full record

ArticleDiagnostics (Basel, Switzerland)2021

Cerebral CT Perfusion in Acute Stroke: The Effect of Lowering the Tube Load and Sampling Rate on the Reproducibility of Parametric Maps.

Georgios S Ioannidis, Søren Christensen, Katerina Nikiforaki, Eleftherios Trivizakis, Kostas Perisinakis, Adam Hatzidakis, Apostolos Karantanas, Mauricio Reyes, Maarten Lansberg, Kostas Marias

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. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Development of aAnnals of nuclear medicine · 2026
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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

10 authors at 6 institutions in 3 countries.

Georgios S IoannidisComputational BioMedicine Laboratory (CBML), Foundation for Research and Technology-Hellas (FORTH), 70013 Heraklion, Greece.ORCID 0000-0002-8139-5790
Søren ChristensenGrayNumber Analytics, 23435 Lomma, Sweden.
Katerina NikiforakiComputational BioMedicine Laboratory (CBML), Foundation for Research and Technology-Hellas (FORTH), 70013 Heraklion, Greece.
Eleftherios TrivizakisComputational BioMedicine Laboratory (CBML), Foundation for Research and Technology-Hellas (FORTH), 70013 Heraklion, Greece.ORCID 0000-0003-3988-6809
Kostas PerisinakisComputational BioMedicine Laboratory (CBML), Foundation for Research and Technology-Hellas (FORTH), 70013 Heraklion, Greece.
Adam HatzidakisDepartment of Radiology, Aristotle Medical School of Thessaloniki, 54124 Thessaloniki, Greece.
Apostolos KarantanasComputational BioMedicine Laboratory (CBML), Foundation for Research and Technology-Hellas (FORTH), 70013 Heraklion, Greece.
Mauricio ReyesArtorg Center, University of Bern, 3008 Bern, Switzerland.
Maarten LansbergDepartment of Neurology, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-3545-6927
Kostas MariasComputational BioMedicine Laboratory (CBML), Foundation for Research and Technology-Hellas (FORTH), 70013 Heraklion, Greece.ORCID 0000-0003-3783-5223
University of Crete · GRAristotle University of Thessaloniki · GRFoundation for Research and Technology Hellas · GRHellenic Mediterranean University · GRStanford University · USUniversity of Bern · CH

Funding

General Secretariat for Research and Technology GA. 31430Hellenic Foundation for Research and Innovation GA. 31430
6 · The paper itself

Abstract

The aim of this study was to define lower dose parameters (tube load and temporal sampling) for CT perfusion that still preserve the diagnostic efficiency of the derived parametric maps. Ninety stroke CT examinations from four clinical sites with 1 s temporal sampling and a range of tube loads (mAs) (100-180) were studied. Realistic CT noise was retrospectively added to simulate a CT perfusion protocol, with a maximum reduction of 40% tube load (mAs) combined with increased sampling intervals (up to 3 s). Perfusion maps from the original and simulated protocols were compared by: (a) similarity using a voxel-wise Pearson's correlation coefficient r with in-house software; (b) volumetric analysis of the infarcted and hypoperfused volumes using commercial software. Pearson's r values varied for the different perfusion metrics from 0.1 to 0.85. The mean slope of increase and cerebral blood volume present the highest r values, remaining consistently above 0.7 for all protocol versions with 2 s sampling interval. Reduction of the sampling rate from 2 s to 1 s had only modest impacts on a TMAX volume of 0.4 mL (IQR -1-3) (

Indexed as

cerebral CT perfusionlower mAs simulationPearson’s correlationquantitative CT perfusion

Identifiers

PMID34205442
PMCPMC8235517
OpenAlexW3173754926

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.