Evidence map›Paper›PMID 25477356›Full record

ArticleAJNR. American journal of neuroradiology2015

Computer-assisted volumetric measurement of core infarct volume in pediatric patients: feasibility for clinical use and development of quantitative metrics for outcome prediction.

C G Filippi, A M El-Ali, V Z Miloushev, D S Chow, X Guo, B Zhao

Open access · hybridAbstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 2015. 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
0.4field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Imaging of Pediatric Stroke.Indian journal of pediatrics · 2016
    Review
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 at 1 institution in 1 country.

C G FilippiFrom the Department of Radiology, Columbia University Medical Center, New York, New York. sairaallapeikko@gmail.com.
A M El-AliFrom the Department of Radiology, Columbia University Medical Center, New York, New York.
V Z MiloushevFrom the Department of Radiology, Columbia University Medical Center, New York, New York.
D S ChowFrom the Department of Radiology, Columbia University Medical Center, New York, New York.
X GuoFrom the Department of Radiology, Columbia University Medical Center, New York, New York.
B ZhaoFrom the Department of Radiology, Columbia University Medical Center, New York, New York.
Columbia University Irving Medical Center · US

Funding

CHRONIC CONVECTION ENHANCED DELIVERY (CED) OF TOPOTECAN FOR GLIOBLASTOMAR01CA161404 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BRUCE, JEFFREY N · 2012 to 2017
$2.9M
NCI NIH HHS R01 CA161404
6 · The paper itself

Abstract

background and purposeInfarct volume may predict clinical outcome in acute stroke, but manual segmentation techniques limit its routine use. We hypothesized that computer-assisted volumetric analysis to quantify acute infarct volume will show no difference compared with manual segmentation but will show increased speed of performance and will correlate with outcome. MATERIALS AND

methodsPatients with acute stroke younger than 18 years were included. Infarct volume on diffusion-weighted imaging was quantified by using computer-assisted volumetric and manual techniques. The Pediatric Stroke Outcome Measure scored clinical outcome. Computer-assisted volumetric and manual techniques were compared with correlation coefficients. Linear regression analysis compared Pediatric Stroke Outcome Measure with core infarct volume and percentage volume of brain infarction.

resultsTwenty-three patients were analyzed (mean age, 4.6 years). Mean infarct volume from computer-assisted volumetric and manual approaches was 65.6 and 63.7 mL, respectively (P = .56). Concordance correlation between methods was 0.980, and between users, 0.968. The mean times for segmentation between computer-assisted volumetric and manual techniques were <1 minute and 7.3 minutes (P < .001). The mean infarct volumes for good and poor outcome groups were 7.4 and 75.7 mL (P < .007). The mean percentages of infarcted brain parenchyma for good and poor outcome groups were 0.6% and 10.4% (P < .006). Volumes of 32 mL and 3% for infarcted brain were associated with poor outcome in all patients.

conclusionsComputer-assisted volumetric quantification of infarct volume is reproducible, is significantly faster than manual techniques, and may have important applications for future clinical workflow. Core infarct volumes and infarct percentage correlated with outcome severity.

Indexed as

Brain InfarctionChildChild, PreschoolDiffusion Magnetic Resonance ImagingFeasibility StudiesFemaleHumansImage Interpretation, Computer-AssistedMalePrognosisRecovery of FunctionReproducibility of ResultsStroke

Identifiers

PMID25477356
PMCPMC7964329
OpenAlexW2312421157

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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.