Evidence map›Paper›PMID 25626401›Full record

Trial reportJournal of computer assisted tomography

Effect on perfusion values of sampling interval of computed tomographic perfusion acquisitions in neuroendocrine liver metastases and normal liver.

Chaan S Ng, Brian P Hobbs, Wei Wei, Ella F Anderson, Delise H Herron, James C Yao, Adam G Chandler

Abstract readComparative StudyRandomized Controlled Trial
In one paragraph

Trial report in Journal of computer assisted tomography. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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.

Chaan S NgFrom the Departments of *Diagnostic Radiology, †Biostatistics, ‡Gastrointestinal Medical Oncology, and §Imaging Physics, The University of Texas, MD Anderson Cancer Center, Houston, TX; and ∥CT Research, GE Healthcare, Waukesha, WI.
Brian P Hobbs
Wei Wei
Ella F Anderson
Delise H Herron
James C Yao
Adam G Chandler

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
NCI NIH HHS CA016672NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

objectiveThis study aimed to assess the effects of sampling interval (SI) of computed tomographic (CT) perfusion acquisitions on CT perfusion values in normal liver and liver metastases from neuroendocrine tumors.

methodsComputed tomographic perfusion in 16 patients with neuroendocrine liver metastases was analyzed using distributed-parameter modeling to yield tissue blood flow, blood volume, mean transit time, permeability, and hepatic arterial fraction for tumor and normal liver. Computed tomographic perfusion values for the reference SI of 0.5 s (SI0.5) were compared with those of SI data sets of 1 second, 2 seconds, 3 seconds, and 4 seconds using mixed-effects model analyses.

resultsIncreases in SI beyond 1 second were associated with significant and increasing departures of CT perfusion parameters from the reference values at SI0.5 (P ≤ 0.0009). Computed tomographic perfusion values deviated from the reference with increasing uncertainty with increasing SIs. Findings for normal liver were concordant.

conclusionsIncreasing SIs beyond 1 second yield significantly different CT perfusion parameter values compared with the reference values at SI0.5.

Indexed as

Liver CirculationAdultAgedAngiographyBlood Flow VelocityFemaleHumansLiverLiver NeoplasmsMaleNeuroendocrine TumorsRadiographic Image Interpretation, Computer-AssistedReproducibility of ResultsSample SizeSensitivity and SpecificitySignal Processing, Computer-Assisted

Identifiers

PMID25626401
PMCPMC4433407

What OpenQuestion holds

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Registered trials

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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.