Evidence map›Paper›PMID 41803546›Full record

ReviewAbdominal radiology (New York)2026

Shifting perspective: effectively incorporating the dixon method into abdominal and pelvic MRI interpretations.

Elhamy Heba, Joseph Owen, Michael Nisiewicz, Ronak Patel, James Lee, Andres Ayoob

Abstract readReview
PubMed Publisher
In one paragraph

Review in Abdominal radiology (New York), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Elhamy HebaAbdominal Imaging, University of Kentucky, Lexington, USA. erheba@uky.edu.
Joseph OwenAbdominal Imaging, University of Kentucky, Lexington, USA.
Michael NisiewiczAbdominal Imaging, University of Kentucky, Lexington, USA.
Ronak PatelAbdominal Imaging, University of Kentucky, Lexington, USA.
James LeeAbdominal Imaging, University of Kentucky, Lexington, USA.
Andres AyoobAbdominal Imaging, University of Kentucky, Lexington, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Dixon method is a chemical shift MRI technique that separates fat and water signals to generate four image sets- in-phase, out-of-phase, fat-only, and water-only- from a single acquisition. This approach enhances lesion characterization, improves fat suppression, and identifies materials that produce magnetic susceptibility artifacts, such as gas, iron, blood products, or metal. Despite its diagnostic potential, Dixon imaging is often underutilized due to limited understanding of its physics and clinical applications. This review outlines the fundamental principles and technical considerations of Dixon imaging with an emphasis on its usefulness in abdominal and pelvic MRI interpretation. We highlight the role of in-phase and out-of-phase images in detecting macroscopic and microscopic fat, differentiating lipid-rich from lipid-poor lesions, and identifying hemosiderin or iron deposition. Fat-only images provide a high-contrast survey for ectopic or abnormal fat, useful in the evaluation of hepatic steatosis, adrenal and renal lesions, adnexal masses, and bone marrow pathology. Water-only images offer reliable fat suppression, particularly in the presence of field inhomogeneity or metallic hardware, improving lesion conspicuity compared with traditional techniques. Additionally, Dixon sequences facilitate recognition of susceptibility artifacts from gas, hemorrhage, or surgical materials, further refining diagnostic interpretation. Awareness of clinical and technical parameters which can lead to artifacts that may degrade image quality or mimic pathology is essential to avoid misinterpretation. Integrating Dixon image sets into routine abdominal and pelvic MRI protocols strengthens diagnostic confidence and efficiency by narrowing differential diagnoses and, in many cases, suggesting a specific diagnosis. Understanding the physics behind fat-water separation and incorporating these sequences into the radiologist's search pattern ensures that the full diagnostic potential of Dixon imaging is realized.

Indexed as

AbdomenImage Interpretation, Computer-AssistedMagnetic Resonance ImagingPelvisArtifactsHumansDixon imagingFat suppressionIronMagnetic susceptibilityMicroscopic fat

Identifiers

PMID41803546

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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.