Evidence map›Paper›PMID 36891147›Full record

ArticleFrontiers in physiology2023

Imputation models and error analysis for phase contrast MR cerebral blood flow measurements.

Payal Shah, Eamon Doyle, John C Wood, Matthew T Borzage

Abstract read
In one paragraph

Article in Frontiers in physiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Payal ShahDivision of Cardiology, Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, CA, United States.
Eamon DoyleDepartment of Radiology, Children's Hospital Los Angeles, Los Angeles, CA, United States.
John C WoodDivision of Cardiology, Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, CA, United States.
Matthew T BorzageDivision of Neonatology, Department of Pediatrics, Children's Hospital Los Angeles, Keck School of Medicine, Fetal and Neonatal Institute, University of Southern California, Los Angeles, CA, United States.

Funding

Effect of diabetes and AD pathology on brain imaging and cognition in Latino adultsR01AG078362 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Matthew Borzage, Meredith Nicole Braskie · 2025 to 2026
$2.3M
Investigation of Cerebral Hemodynamics and Oxygenation Relationships Under Sedation in Children: ICHOR USCK25HL153954 · NHLBI · CHILDREN'S HOSPITAL OF LOS ANGELES · PI BORZAGE, MATTHEW · 2021 to 2025
$927k
NHLBI NIH HHS K25 HL153954NIA NIH HHS R01 AG078362
6 · The paper itself

Abstract

Cerebral blood flow (CBF) supports brain metabolism. Diseases impair CBF, and pharmacological agents modulate CBF. Many techniques measure CBF, but phase contrast (PC) MR imaging through the four arteries supplying the brain is rapid and robust. However, technician error, patient motion, or tortuous vessels degrade quality of the measurements of the internal carotid (ICA) or vertebral (VA) arteries. We hypothesized that total CBF could be imputed from measurements in subsets of these 4 feeding vessels without excessive penalties in accuracy. We analyzed PC MR imaging from 129 patients, artificially excluded 1 or more vessels to simulate degraded imaging quality, and developed models of imputation for the missing data. Our models performed well when at least one ICA was measured, and resulted in

Indexed as

cerebral blood flow (CBF)internal carotid artery (ICA)magnetic resonance imaging (MRI)phase contrast (PC)vertebral artery

Identifiers

PMID36891147
PMCPMC9988286

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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.