Evidence map›Paper›PMID 33634923›Full record

ArticleJournal of magnetic resonance imaging : JMRI2021

Quantitative Susceptibility Mapping Using a Multispectral Autoregressive Moving Average Model to Assess Hepatic Iron Overload.

Aaryani Tipirneni-Sajja, Ralf B Loeffler, Jane S Hankins, Cara Morin, Claudia M Hillenbrand

Abstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Toward a realistic in silico abdominal phantom for QSM.Magnetic resonance in medicine · 2023
    Article
  4. Review
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

5 authors.

Aaryani Tipirneni-SajjaDepartment of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.ORCID 0000-0002-3246-8711
Ralf B LoefflerDepartment of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.ORCID 0000-0002-0482-5486
Jane S HankinsDepartment of Hematology, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.ORCID 0000-0003-4439-7321
Cara MorinDepartment of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.ORCID 0000-0003-1953-4486
Claudia M HillenbrandDepartment of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.ORCID 0000-0001-8694-2178

Funding

Massive Iron Deposit Assessment (MIDAS)R01DK088988 · NIDDK · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI HANKINS, JANE SILVA, HILLENBRAND, CLAUDIA M · 2010 to 2013
$1.5M
NIDDK NIH HHS R01 DK088988
6 · The paper itself

Abstract

backgroundR2*-MRI is clinically used to noninvasively assess hepatic iron content (HIC) to guide potential iron chelation therapy. However, coexisting pathologies, such as fibrosis and steatosis, affect R2* measurements and may thus confound HIC estimations. PURPOSE: To evaluate whether a multispectral auto regressive moving average (ARMA) model can be used in conjunction with quantitative susceptibility mapping (QSM) to measure magnetic susceptibility as a confounder-free predictor of HIC. STUDY TYPE: Phantom study and in vivo cohort. SUBJECTS: Nine iron phantoms covering clinically relevant R2* range (20-1200/second) and 48 patients (22 male, 26 female, median age 18 years). FIELD STRENGTH/SEQUENCE: Three-dimensional (3D) and two-dimensional (2D) multi-echo gradient echo (GRE) at 1.5 T. ASSESSMENT: ARMA-QSM modeling was performed on the complex 3D GRE signal to estimate R2*, fat fraction (FF), and susceptibility measurements. R2*-based dry clinical HIC values were calculated from the 2D GRE acquisition using a published R2*-HIC calibration curve as reference standard. STATISTICAL TESTS: Linear regression analysis was performed to compare ARMA R2* and susceptibility-based estimates to iron concentrations and dry clinical HIC values in phantoms and patients, respectively.

resultsIn phantoms, the ARMA R2* and susceptibility values strongly correlated with iron concentrations (R DATA

conclusionThis study shows the feasibility that ARMA-QSM can simultaneously estimate susceptibility-based wet HIC, R2*-based dry HIC and FFs from a single multi-echo GRE acquisition. Our results demonstrate that both, R2* and susceptibility-based wet HIC values estimated with ARMA-QSM showed good association with clinical dry HIC values with slopes similar to published R2*-biopsy HIC calibration and dry-to-wet tissue weight ratio, respectively. Hence, our study shows that ARMA-QSM can provide potentially confounder-free assessment of hepatic iron overload. LEVEL OF EVIDENCE: 3 TECHNICAL EFFICACY: Stage 2.

Indexed as

Fatty LiverIron OverloadAdolescentFemaleHumansIronLiverMagnetic Resonance ImagingMaleIronfibrosisiron overloadliverR2*susceptibility

Identifiers

PMID33634923
PMCPMC9223690

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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.