Evidence map›Paper›PMID 35121586›Full record

ArticleAJNR. American journal of neuroradiology2022

A Comparison of Global Brain Volumetrics Obtained from CT versus MRI Using 2 Publicly Available Software Packages.

S W Fielden, D Beiler, K A Cauley, V Troiani

Abstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

S W FieldenFrom the Departments of Translational Data Science and Informatics (S.W.F., V.T.) sfielden@geisinger.edu.ORCID 0000-0002-5987-981X
D BeilerGeisinger-Bucknell Autism & Developmental Medicine Institute (D.B., V.T.), Geisinger, Lewisburg, Pennsylvania.ORCID 0000-0002-4570-631X
K A CauleyVirtual Radiologic Professionals (K.A.C.), Eden Prairie, Minnesota.ORCID 0000-0002-0247-0650
V TroianiFrom the Departments of Translational Data Science and Informatics (S.W.F., V.T.).ORCID 0000-0002-3107-8287

Funding

Supplemental Application for Clinical and Genetic Risk Profile of Opioid Use DisorderR01DA044015 · NIDA · GEISINGER CLINIC · PI BERRETTINI, WADE H, ROBISHAW, JANET D · 2017 to 2021
$4.5M
NIDA NIH HHS R01 DA044015
6 · The paper itself

Abstract

background and purposeBrain volumetrics have historically been obtained from MR imaging data. However, advances in CT, along with refined publicly available software packages, may support tissue-level segmentations of clinical CT images. Here, brain volumetrics obtained by applying two publicly available software packages to paired CT-MR data are compared. MATERIALS AND

methodsIn a group of patients (

resultsRegression analysis showed good agreement between volumes derived from MR images versus those from CT. The correlation coefficients between the 2 methods were 0.93 and 0.98 for Statistical Parametric Mapping and FMRIB Software Library, respectively. Differences between global volumes were significant (

conclusionsThe repeatability of CT segmentations using publicly available software is good, with good correlation with MR imaging. With careful study design and acknowledgment of measurement biases, CT may be a viable alternative to MR imaging in certain settings.

Indexed as

BrainMagnetic Resonance ImagingHumansMaleNeuroimagingSoftwareTomography, X-Ray Computed

Identifiers

PMID35121586
PMCPMC8985680

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.