Evidence map›Paper›PMID 41481854›Full record

ArticleJournal of magnetic resonance imaging : JMRI2026

Enhancing Study Design and Analysis of MR Imaging Markers Through Measurement Error Modeling.

Xiaofeng Wang, Walter Zhao, Yifan Wang, Deborah H Kwon, Ting-Yu Su, Nancy A Obuchowski, Mark A Griswold, Zhong Irene Wang, Dan Ma

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Xiaofeng WangDepartment of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0001-8212-6931
Walter ZhaoDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0001-8907-4935
Yifan WangDepartment of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0002-4663-6202
Deborah H KwonHeart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Ting-Yu SuDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA.
Nancy A ObuchowskiDepartment of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA.
Mark A GriswoldDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA.
Zhong Irene WangEpilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0002-3829-5217
Dan MaDepartment of Neurosurgery, Duke University, Durham, North Carolina, USA.

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007250 · NIGMS · CASE WESTERN RESERVE UNIVERSITY · PI HUANG, ALEX YEE-CHEN · 1985 to 2023
$33.4M
Clinical and Translational Science Collaborative of Northern Ohio, Catalyzing Linkages to Equity in Health (CLE Health)UM1TR004528 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI GRACE A MCCOMSEY · 2023 to 2026
$32.1M
Interdisciplinary Biomedical Imaging Training ProgramT32EB007509 · NIBIB · CASE WESTERN RESERVE UNIVERSITY · PI DAVID Lynn WILSON, Xin Yu · 2007 to 2026
$5.6M
MR Fingerprinting for EpilepsyR01NS109439 · NINDS · CLEVELAND CLINIC LERNER COM-CWRU · PI Dan Ma, Zhong Irene Wang · 2019 to 2026
$4.2M
Development of fast diffusion magnetic resonance fingerprinting of the prostate to avoid unnecessary biopsiesR01CA292091 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI Yong Chen, Leonardo Kayat Bittencourt · 2024 to 2026
$3.2M
Improving Phenotypic Classification and Prediction of Treatment Outcomes in Patients with Non-ischemic Cardiomyopathy and Functional Mitral RegurgitationR01HL170090 · NHLBI · CLEVELAND CLINIC LERNER COM-CWRU · PI DEBORAH KWON · 2023 to 2026
$3.1M
NRSA Training CoreTL1TR002549 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI HARDING, CLIFFORD V · 2018 to 2022
$2.9M
Development of Magnetic Resonance Fingerprinting (MRF) to Assess Response to Neoadjuvant Chemotherapy in Breast CancerR01CA282516 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI Yong Chen, Dan Ma · 2023 to 2026
$2.4M
MR Fingerprinting based Quantitative Imaging and Analysis Platform (MRF-QIA) for brain tumors.R01CA269604 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI BADVE, CHAITRA, DAVATZIKOS, CHRISTOS · 2023 to 2025
$1.7M
Comprehensive MR Fingerprinting for Infants and Young Children at Risk for Developmental Delays.R01HD112923 · NICHD · DUKE UNIVERSITY · PI Dan Ma, DEANNE E WILSON-COSTELLO · 2024 to 2026
$1.7M
MR Fingerprinting for Characterization and Prediction of Glioblastoma InfiltrationF30CA294611 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI Walter Zhao · 2025 to 2026
$110k
NCATS NIH HHS TL1 TR002549NCATS NIH HHS UM1 TR004528NCI NIH HHS F30 CA294611NCI NIH HHS R01 CA269604NCI NIH HHS R01 CA282516NCI NIH HHS R01 CA292091NHLBI NIH HHS R01 HL170090NIBIB NIH HHS T32 EB007509NICHD NIH HHS R01 HD112923NIGMS NIH HHS T32 GM007250NIH HHS F30 CA294611NIH HHS R01 CA269604NIH HHS R01 CA282516NIH HHS R01 CA292091NIH HHS R01 HD112923NIH HHS R01 NS109439NIH HHS T32 EB007509NIH HHS T32 GM007250NIH HHS TL1 TR002549NINDS NIH HHS R01 NS109439
6 · The paper itself

Abstract

backgroundMeasurement error in imaging reduces statistical power and potentially biases parameter estimation, compromising study reliability. PURPOSE: To introduce a dual data collection design (reliability and main datasets) to quantify measurement error and apply regression calibration to correct error-prone imaging markers, thereby improving biomarker-outcome estimation, statistical power, and sample size planning. STUDY TYPE: Prospective (reliability) and retrospective (regression calibration). POPULATION: 65 healthy volunteers (mean age: 23.2), 60 age and sex matched with 34 epilepsy patients (mean age: 28.7). FIELD STRENGTH/SEQUENCE: 3.0 T, MR fingerprinting (MRF) and T1-weighted (T1w) MPRAGE. ASSESSMENT: Three-dimensional brain scan-rescan data were acquired in 5 volunteers (6 identical acquisitions per volunteer across 3 scanners) to estimate reliability coefficients ( STATISTICAL TEST: Reliability coefficient, Cohen's d, regression calibration, generalized estimation equations.

resultsMRF T1 markers exhibited higher reliability ( DATA

conclusionThe dual data acquisition design with regression calibration restores attenuated imaging biomarker associations, improves statistical power, and informs sampling requirements, thus enhancing reliability and generalizability in multi-site imaging studies. EVIDENCE LEVEL: 3. TECHNICAL EFFICACY: 2.

Indexed as

BrainEpilepsyImage Processing, Computer-AssistedMagnetic Resonance ImagingResearch DesignAdultBiomarkersCalibrationComputer SimulationFemaleHealthy VolunteersHumansImaging, Three-DimensionalMaleProspective StudiesReproducibility of ResultsBiomarkersclinical trialsmeasurement errorMR fingerprintingpower analysisquantitative imagingstatistical analysis

Identifiers

PMID41481854
PMCPMC12931679

What OpenQuestion holds

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LicenceCC BY-NC
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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.