Evidence map›Paper›PMID 40705177›Full record

ArticleMagma (New York, N.Y.)2025

Addressing fatty tissue in quantitative susceptibility mapping of human knee cartilage.

Cornelia Säll, Emelie Lind, Emma Einarsson, Aleksandra Turkiewicz, Martin Englund, Pernilla Peterson

Abstract read
In one paragraph

Article in Magma (New York, N.Y.), 2025. 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

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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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

6 authors.

Cornelia SällImaging and Physiology, Skåne University Hospital, Lund, Sweden.
Emelie LindImaging and Physiology, Skåne University Hospital, Lund, Sweden.
Emma EinarssonImaging and Physiology, Skåne University Hospital, Lund, Sweden.
Aleksandra TurkiewiczClinical Epidemiology Unit, Orthopedics, Department of Clinical Sciences Lund, Lund University, Lund, Sweden.
Martin EnglundClinical Epidemiology Unit, Orthopedics, Department of Clinical Sciences Lund, Lund University, Lund, Sweden.
Pernilla PetersonImaging and Physiology, Skåne University Hospital, Lund, Sweden. pernilla.peterson@med.lu.se.ORCID http://orcid.org/0000-0002-7533-8503

Funding

Hjärnfonden PS2021-0045Reumatikerförbundet R-1012124Swedish governmental funding of clinical research (ALF) 2022-Projekt0240Swedish governmental funding of clinical research (ALF) 2023-YF0041Swedish governmental funding of clinical research (ALF) 2023-YF00439Vetenskapsrådet 2020-01103
6 · The paper itself

Abstract

objectiveTo evaluate the effects of excluding fatty tissue in QSM of human knee cartilage. MATERIALS AND

methodsGradient echo images from 18 knee-healthy volunteers were acquired, from which chemical shift corrected field perturbation maps were calculated. Based on these, QSM maps were reconstructed using morphology enabled dipole inversion and one of three masking alternatives: (1) excluding no tissue, (2) excluding bone marrow, and (3) excluding all fatty tissues. The slope of a linear regression [ppm/%] between susceptibility values and the relative distance from the bone surfaces was used as a measurement of contrast between cartilage layers. The average differences in slopes between methods are reported with 95% confidence intervals.

resultsThe expected susceptibility differences between cartilage layers from literature were observed for all tested reconstruction techniques. However, smaller slopes (average difference (confidence interval)) were detected when either all fatty tissue (- 0.090 (- 0.121, - 0.059) ppm/%) or bone marrow (- 0.088 (- 0.121, - 0.055) ppm/%) was excluded from reconstruction. DISCUSSION: All tested methods result in adequate image quality in QSM of knee cartilage. However, exclusion of fatty tissue decreased the susceptibility contrast between cartilage layers. Assuming that phase contributions from chemical shift are addressed, inclusion of fatty tissue may be preferable.

Indexed as

Adipose TissueCartilage, ArticularKnee JointMagnetic Resonance ImagingAdultAlgorithmsBone MarrowFemaleHealthy VolunteersHumansImage Processing, Computer-AssistedKneeLinear ModelsMaleYoung AdultCartilageFatty tissueOsteoarthritisQSM

Identifiers

PMID40705177
PMCPMC12638388

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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.