Evidence map›Paper›PMID 40220143›Full record

ArticleSkeletal radiology2025

Improving tissue contrast visualization in two-point Dixon MRI using dark-fat processing: application in clinical knee imaging.

Sheng-Qing Lin, Sebastian Fonseca, Dhilip Andrew, Durga Udayakumar, Flavio Duarte Silva, Avneesh Chhabra, Ananth J Madhuranthakam

Abstract read
In one paragraph

Article in Skeletal radiology, 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

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. [Research progress on enhanced recovery after posterior cruciate ligament reconstruction].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2025
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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

7 authors.

Sheng-Qing LinDepartment of Radiology, UT Southwestern Medical Center, Dallas, TX, USA.
Sebastian FonsecaDepartment of Radiology, UT Southwestern Medical Center, Dallas, TX, USA.
Dhilip AndrewDepartment of Radiology, UT Southwestern Medical Center, Dallas, TX, USA.
Durga UdayakumarDepartment of Radiology, UT Southwestern Medical Center, Dallas, TX, USA.
Flavio Duarte SilvaDepartment of Radiology, UT Southwestern Medical Center, Dallas, TX, USA.
Avneesh ChhabraDepartment of Radiology, UT Southwestern Medical Center, Dallas, TX, USA.
Ananth J MadhuranthakamDepartment of Radiology, UT Southwestern Medical Center, Dallas, TX, USA. ananth@mayo.edu.ORCID http://orcid.org/0000-0002-5524-7962

Funding

Next-Generation Whole-Body MRI for Detection and Assessment of Therapy Response in Bone LesionsR01CA283663 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI Ananth J Madhuranthakam · 2023 to 2026
$2.2M
Cancer Prevention and Research Institute of Texas RP190049NCI NIH HHS R01 CA283663NCI NIH HHS R01CA283663
6 · The paper itself

Abstract

objectiveTo improve tissue contrast visualization in water-only images from two-point turbo spin-echo (TSE) Dixon MRI using dark-fat image processing and evaluate in retrospectively acquired clinical knee images. MATERIALS AND

methodsClinical knee MRI datasets from 36 patients were retrospectively compiled under IRB approval. The dark-fat water-only images were generated and compared with the conventional water-only images from two-point TSE-Dixon MRI. The water-only images from 20 patients were analyzed: (i) qualitatively by two experienced musculoskeletal radiologists, for overall image quality, fat suppression, anatomical visualization, and the absence of artifacts, using Wilcoxon rank tests, and (ii) quantitatively using apparent signal-to-noise ratio (aSNR) and apparent contrast-to-noise ratio (aCNR) from regions of interest (ROIs) with paired t-test. In the remaining 16 patients, the number of cruciate ligament tears identified on MRI was tabulated and compared with arthroscopy results.

resultsCompared to conventional water-only images, dark-fat water-only images showed improved fat suppression (reader 1, P < 0.0001; reader 2, P < 0.05), improved overall image quality by reader 1 (P < 0.001), and improved visualization of the sciatic nerve for reader 1 (P < 0.01), while there were no significant differences for the other anatomical structures. aSNR was significantly reduced for bone marrow fat (P < 0.0001), and aCNR between meniscus and articular cartilage was significantly improved (P < 0.0001). There were a higher number of posterior cruciate ligament tears identified in MRI compared to arthroscopy.

conclusionDark-fat processed water-only images improved fat suppression and tissue contrast visualization, particularly sciatic nerves, compared to conventional water-only images from two-point TSE-Dixon MR imaging.

Indexed as

Adipose TissueImage EnhancementImage Interpretation, Computer-AssistedKnee InjuriesKnee JointMagnetic Resonance ImagingAdolescentAdultAgedFemaleHumansMaleMiddle AgedRetrospective StudiesSignal-To-Noise RatioArthroscopyDark-fatDixonKnee imagingTSE-Dixon

Identifiers

PMID40220143
PMCPMC12928724

What Socratic holds

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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 Socratic graph.