Evidence map›Paper›PMID 41852247›Full record

ArticleNMR in biomedicine2026

Optimized Quantitative Susceptibility Mapping at 7T MRI for Assessing Iron Deposition in Alzheimer's Disease.

Felisha Ma, Pinar Senay Özbay, Berkin Bilgic, Trey Hedden, Bradley Delman, Priti Balchandani, Akbar Alipour

Abstract read
In one paragraph

Article in NMR in biomedicine, 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. Reframing Alzheimer's Disease Through a Redox-Metabolic Framework.International journal of molecular sciences · 2026
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Felisha MaBioMedical Engineering and Imaging Institute (BMEII), Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Pinar Senay ÖzbayInstitute of Biomedical Engineering, Bogazici University, Istanbul, Turkiye.
Berkin BilgicAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and, Harvard Medical School, Boston, Massachusetts, USA.
Trey HeddenDepartment of Neurology and Neuroscience, Sanford J. Grossman Interdisciplinary Center in Neural Circuitry and Immune Function, Alzheimer's Disease Research Center, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Bradley DelmanDepartment of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Priti BalchandaniBioMedical Engineering and Imaging Institute (BMEII), Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Akbar AlipourBioMedical Engineering and Imaging Institute (BMEII), Icahn School of Medicine at Mount Sinai, New York, New York, USA.

Funding

Research Education ComponentP30AG066514 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Carolyn Wei Zhu · 2020 to 2026
$31.0M
7T MRI as a potential tool for detection of pathology in Alzheimer's diseaseK01AG075178 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Akbar Alipour · 2022 to 2026
$553k
Cross-correlation of biomechanical, connectomic, and pathologic markers in Alzheimer's disease at 7T MRIR21AG071179 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BALCHANDANI, PRITI, KURT, MEHMET · 2020 to 2020
$473k
NIA NIH HHS K01 AG075178NIA NIH HHS P30 AG066514NIA NIH HHS R21 AG071179NIH/NIA AG071179NIH/NIA AG075178-0
6 · The paper itself

Abstract

Elevated brain iron levels are common in Alzheimer's disease (AD). Quantitative susceptibility mapping (QSM) is an advanced MRI technique for assessing iron accumulation. The optimized QSM at 7 Tesla (7T) MRI may further improve the sensitivity to detect subtle susceptibility changes in AD. We optimized a QSM processing pipeline for 7T MRI by systematically comparing multiple reconstruction algorithms. Evaluation criteria included image quality, artifact suppression, and anatomical clarity. The finalized pipeline was applied to individuals with AD and healthy controls (HCs). The results revealed significantly elevated magnetic susceptibility values in the globus pallidus and dentate nucleus of the AD group compared to HCs. These findings were confirmed through both visual inspection and quantitative analysis of high-resolution QSM maps. This study provides a systematic evaluation and optimization of QSM processing pipelines at 7T MRI, offering improved sensitivity and reliability for detecting ad-related susceptibility alterations. Our results highlight the importance of optimizing QSM pipelines at 7T for accurate susceptibility quantification. AD patients exhibited higher susceptibility than controls in the globus pallidus (98.7-102.9 ppb) and dentate nucleus (51.1-52.8 ppb), consistent across all QSM pipelines. We identified an optimal pipeline suitable for future applications in patients with AD and other neurological conditions.

Indexed as

Alzheimer DiseaseIronMagnetic Resonance ImagingAgedAged, 80 and overAlgorithmsBrainFemaleHumansMaleReproducibility of ResultsIron

Identifiers

PMID41852247
PMCPMC13392853

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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.