Evidence map›Paper›PMID 35614930›Full record

ArticleFrontiers in neurology2022

Lifespan Volume Trajectories From Non-harmonized T1-Weighted MRI Do Not Differ After Site Correction Based on Traveling Human Phantoms.

Sarah Treit, Emily Stolz, Julia N Rickard, Cheryl R McCreary, Mercedes Bagshawe, Richard Frayne, Catherine Lebel, Derek Emery, Christian Beaulieu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 24% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
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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

9 authors at 4 institutions in 1 country.

Sarah TreitDepartment of Biomedical Engineering, University of Alberta, Edmonton, AB, Canada.
Emily StolzDepartment of Biomedical Engineering, University of Alberta, Edmonton, AB, Canada.
Julia N RickardDepartment of Biomedical Engineering, University of Alberta, Edmonton, AB, Canada.
Cheryl R McCrearyDepartments of Radiology and Clinical Neurosciences, Foothills Medical Centre, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada.
Mercedes BagshaweDepartment of Radiology, Alberta Children's Hospital, University of Calgary, Calgary, AB, Canada.
Richard FrayneDepartments of Radiology and Clinical Neurosciences, Foothills Medical Centre, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada.
Catherine LebelDepartment of Radiology, Alberta Children's Hospital, University of Calgary, Calgary, AB, Canada.
Derek EmeryDepartment of Biomedical Engineering, University of Alberta, Edmonton, AB, Canada.
Christian BeaulieuDepartment of Biomedical Engineering, University of Alberta, Edmonton, AB, Canada.
University of Alberta · CAAlberta Children's Hospital · CAFoothills Medical Centre · CAUniversity of Calgary · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multi-site imaging consortiums strive to increase participant numbers by pooling data across sites, but scanner related differences can bias results. This study combines data from three research MRI centers, including three different scanner models from two vendors, to examine non-harmonized T1-weighted brain imaging protocols in two cohorts. First, 23 human traveling phantoms were scanned twice each at all three sites (six scans per person; 138 scans total) to quantify within-participant variability of brain volumes (total brain, white matter, gray matter, lateral ventricles, thalamus, caudate, putamen and globus pallidus), and to calculate site-specific correction factors for each structure. Sample size calculations were used to determine the number of traveling phantoms needed to achieve effect sizes for observed differences to help guide future studies. Next, cross-sectional lifespan volume trajectories were examined in 856 healthy participants (5-91 years of age) scanned at these sites. Cross-sectional trajectories of volume versus age for each structure were then compared before and after application of traveling phantom based site-specific correction factors, as well as correction using the open-source method ComBat. Although small systematic differences between sites were observed in the traveling phantom analysis, correction for site using either method had little impact on the lifespan trajectories. Only white matter had small but significant differences in the intercept parameter after ComBat correction (but not traveling phantom based correction), while no other fits differed. This suggests that age-related changes over the lifespan outweigh systematic differences between scanners for volumetric analysis. This work will help guide pooling of multisite datasets as well as meta-analyses of data from non-harmonized protocols.

Indexed as

brain volumeComBatdata harmonizationhealthy lifespanMRImulti–sitereproducibilitywithin–subject reliability

Identifiers

PMID35614930
PMCPMC9124864
OpenAlexW4229367362

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.