Evidence map›Paper›PMID 29241596›Full record

ReviewAcademic radiology2018

Essentials of Statistical Methods for Assessing Reliability and Agreement in Quantitative Imaging.

Arash Anvari, Elkan F Halpern, Anthony E Samir

Abstract readReview
In one paragraph

Review in Academic radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
–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

32 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  10. Research on a deep learning-based model for measurement of X-ray imaging parameters of atlantoaxial joint.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2025
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  11. Review
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  17. Performance evaluation of a deep learning-based cascaded HRNet model for automatic measurement of X-ray imaging parameters of lumbar sagittal curvature.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2024
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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

3 authors.

Arash AnvariDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114. Electronic address: anvari.arash@mgh.harvard.edu.
Elkan F HalpernDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114.
Anthony E SamirDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114.

Funding

Reducing Variability in Hepatic Shear Wave ElastographyK23EB020710 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI SAMIR, ANTHONY EDWARD · 2016 to 2019
$781k
NIBIB NIH HHS K23 EB020710
6 · The paper itself

Abstract

Quantitative imaging is increasing in almost all fields of radiological science. Modern quantitative imaging biomarkers measure complex parameters including metabolism, tissue microenvironment, tissue chemical properties or physical properties. In this paper, we focus on measurement reliability assessment in quantitative imaging. We review essential concepts related to measurement such as measurement variability and measurement error. We also discuss reliability study methods for intraobserver and interobserver variability, and the applicable statistical tests including: intraclass correlation coefficient, Pearson correlation coefficient, and Bland-Altman graphs and limits of agreement, standard error of measurement, and coefficient of variation.

Indexed as

RadiographyHumansObserver VariationReproducibility of ResultsagreementBland-Altman graphcoefficient of variationintraclass correlation coefficientMeasurement errorreliabilitystandard error of measurement

Identifiers

PMID29241596
PMCPMC5834361

What OpenQuestion holds

Textmetadata
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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.