Evidence map›Paper›PMID 41612146›Full record

ArticleMagnetic resonance in medicine2026

On-Scanner Correction of Gradient Nonlinearity Bias for Accurate Assessment of Diffusion Heterogeneity Across Bone Sites in Myelofibrosis Patients.

Dariya Malyarenko, Brian D Ross, Johannes M Peeters, Ajit Devaraj, Ramin Jafari, Humera Tariq, Kristen M Pettit, Moshe Talpaz, Gary D Luker, Thomas L Chenevert

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Dariya MalyarenkoRadiology, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0003-0403-1501
Brian D RossRadiology, University of Michigan, Ann Arbor, Michigan, USA.
Johannes M PeetersMR Clinical Science, Philips Healthcare, Best, the Netherlands.
Ajit DevarajMR Clinical Science Philips, Cambridge, Massachusetts, USA.
Ramin JafariMR Clinical Science Philips, Cambridge, Massachusetts, USA.
Humera TariqRadiology, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0002-7684-9161
Kristen M PettitInternal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Moshe TalpazInternal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Gary D LukerRadiology, University of Michigan, Ann Arbor, Michigan, USA.
Thomas L ChenevertRadiology, University of Michigan, Ann Arbor, Michigan, USA.

Funding

Elimination of Instrumental Bias for Quantitative Diffusion Imaging in Clinical Oncology TrialsR01CA190299 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MALYARENKO, DARIYA I. · 2015 to 2025
$6.4M
University of Michigan Quantitative Co-Clinical Imaging Research ResourceU24CA237683 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHENEVERT, THOMAS L, LUKER, GARY D · 2019 to 2023
$3.1M
Imaging Disease Heterogeneity and Response to Therapy in MyelofibrosisR01CA238023 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUKER, GARY D, ROSS, BRIAN D. · 2019 to 2023
$3.1M
Development of quantitative bone marrow magnetic resonance imaging biomarkers to assess efficacy of novel molecularly targeted agents for myelofibrosisR01CA297995 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Brian D. Ross · 2025 to 2026
$1.3M
NCI NIH HHS R01 CA190299NIH HHS R01CA190299NIH HHS R01CA238023NIH HHS R01CA297995NIH HHS U24CA237683
6 · The paper itself

Abstract

purposeTo improve accuracy of apparent diffusion coefficient (ADC) measurement across different bone-marrow (BM) sites for myelofibrosis (MF) patients.

methodsVendor-provided ADC gradient nonlinearity correction (GNC) was implemented for 41 MF study subjects on a 3T clinical scanner. The degree of bias correction was assessed on b-maps across the BM regions-of-interest defined for femoral trochanter, posterior ilium and spine vertebrae of all subjects. Bias variability from subject repositioning was evaluated for five subjects with longitudinal scans using Bland-Altman analysis. BM ADC with and without GNC were compared in 22 subjects with MF grade > 0 (iliac fat fraction < 40%). The GNC effect on ADC heterogeneity trends across bone sites was assessed using paired t-test and correlation to MF-grade.

resultsThe observed bias was substantial across BM sites ranging from -10% for edge vertebrae to +8.4% for trochanter across all subjects with a 13.7% intra-subject median range. The effect of irreproducible positioning in longitudinal scans was ±4.2% bias (95% limits-of-agreement) with range of ±8.5% (highest for L1 and L5). By removing bias, GNC improved ADC accuracy and longitudinal reproducibility and emphasized biological heterogeneity for femoral trochanter versus ilium and edge vertebrae (T11-L1, L5, and S1). GNC revealed significant ADC differences between trochanters and edge vertebrae (p = 0.007), while edge vertebrae and ilium ADC became more uniform (p = 0.07), with heterogeneity and values correlated to MF-grade.

conclusionOn-scanner correction of gradient nonlinearity bias in bone marrow ADC reduces technical nonuniformity and variability and allows accurate and reproducible characterization of heterogeneous disease for myelofibrosis patients.

Indexed as

Bone and BonesBone MarrowDiffusion Magnetic Resonance ImagingImage Processing, Computer-AssistedPrimary MyelofibrosisAdultAgedAlgorithmsFemaleHumansIliumImage Interpretation, Computer-AssistedMaleMiddle AgedReproducibility of ResultsSpineADC nonuniformitybone marrowgradient nonlinearitymyelofibrosisnonuniform diffusion weighting

Identifiers

PMID41612146
PMCPMC13049273

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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.