ArticleMagma (New York, N.Y.)2018
Estimation of pancreatic R2* for iron overload assessment in the presence of fat: a comparison of different approaches.
Article in Magma (New York, N.Y.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 11 citations in OpenAlex.
- Phase-Sensitive Modeling Improves Fat DESPOT Multiparametric Relaxation Mapping in Fat-Water Mixtures.Magnetic resonance in medicine · 2026Article
- Pancreatic fatty replacement as risk marker for altered glucose metabolism and cardiac iron and complications in thalassemia major.European radiology · 2023Article
- Pancreatic iron quantification with MR imaging: a practical guide.Abdominal radiology (New York) · 2022Review
- R2* value derived from multi-echo Dixon technique can aid discrimination between benign and malignant focal liver lesions.World journal of gastroenterology · 2021Article
Corrections and comments
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Authors and funding
9 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo propose a method for estimating pancreatic relaxation rate, R2*, from conventional multi-echo MRI, based on the nonlinear fitting of the acquired magnitude signal decay to MR signal models that take into account both the signal oscillations induced by fat and the different R2* values of pancreatic parenchyma and fat. MATERIALS AND
methodsSingle-peak fat (SPF) and multi-peak fat (MPF) models were introduced. Single-R2* and dual-R2* assumptions were considered as well. Analyses were conducted on simulated data and 20 thalassemia major patients.
resultsSimulations revealed the ability of the MPF model to correctly estimate the R2* value in a large range of fat fractions and R2* values. From the comparison between the results obtained with a single R2* value for water and fat and the dual-R2* approach, the latter is more accurate in both water R2* and fat fraction estimation. In patient's data analysis, a strong concordance was found between SPF and MPF estimated data with measurements done with manual signal correction and from fat-saturated images. The MPF method showed better reproducibility.
conclusionThe MPF dual-R2* approach improves reproducibility and reduces image analysis time in the assessment of pancreatic R2* value in patients with iron overload.
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