Evidence map›Paper›PMID 41345072›Full record

ArticleMedical physics2025

Advancing free-breathing liver diffusion-weighted imaging with Propeller-EPI: Improved image quality and ADC repeatability.

Liyuan Liang, Lu Wang, Qiting Wu, Guangtao Chen, Keith Wan-Hang Chiu, Yi-Jui Liu, Chang-Hsien Liu, Chun-Jung Juan, Yat Lam Wong, Hailin Xiong and 3 more

Abstract read
In one paragraph

Article in Medical physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Diffusion MRI of the Body: Beyond PGSE-EPI.Journal of magnetic resonance imaging : JMRI · 2026
    Review
  2. Article
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

13 authors.

Liyuan LiangDepartment of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China.
Lu WangCollege of Information Science and Engineering, Northeastern University, Liaoning, China.
Qiting WuDepartment of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China.
Guangtao ChenSchool of Chinese Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
Keith Wan-Hang ChiuDepartment of Diagnostic and Interventional Radiology, Queen Elizabeth Hospital, Hong Kong SAR, China.
Yi-Jui LiuDepartment of Automatic Control Engineering, Feng Chia University, Taichung, Taiwan.
Chang-Hsien LiuDepartment of Medical Imaging, China Medical University Hsinchu Hospital and China Medical University, Hsinchu, Taiwan.
Chun-Jung JuanDepartment of Medical Imaging, China Medical University Hsinchu Hospital and China Medical University, Hsinchu, Taiwan.
Yat Lam WongDepartment of Clinical Oncology, Queen Mary Hospital, Hong Kong SAR, China.
Hailin XiongDepartment of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China.
He WangInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
Hsiao-Wen ChungGraduate Institute of Biomedical Electrics and Bioinformatics, National Taiwan University, Taipei, Taiwan.
Hing-Chiu ChangDepartment of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China.

Funding

Hong Kong Research Grant Council ECS24213522Hong Kong Research Grant Council GRF14206723Hong Kong Research Grant Council GRF17106820Hong Kong Research Grant Council GRF17125321Hong Kong Research Grant Council GRF17138616
6 · The paper itself

Abstract

backgroundLiver diffusion-weighted imaging (DWI) with apparent diffusion coefficient (ADC) measurement has proven valuable in diagnosing liver diseases. In certain patient populations, a free-breathing (FB) liver DWI approach is desirable to improve patient comfort and broaden clinical applicability. However, maintaining high image quality under FB conditions and achieving satisfactory ADC repeatability can be challenging when using routine diffusion-weighted single-shot echo-planar imaging (DW-ss-EPI). PURPOSE: This study aimed to develop an advanced FB liver DWI technique based on diffusion-weighted Propeller echo-planar imaging (DW-Propeller-EPI) to achieve motion compensation, and to prospectively evaluate its performance in terms of image quality and ADC repeatability compared to standard DW-ss-EPI.

methodsA DW-Propeller-EPI pulse sequence and reconstruction pipeline was developed on a 1.5T MRI system. The pipeline incorporated a reference-free Nyquist ghost correction method and motion compensation using correlation weighting during data reconstruction. For in vivo evaluation, participants prospectively underwent two repeated liver DWI scans using four techniques: three routine DW-ss-EPI sequences with different breathing controls (breath-holding, BH; respiratory-triggering, RT; and FB), and one FB DW-Propeller-EPI sequence. The raw data from the FB DW-Propeller-EPI scans were processed offline with the developed motion-compensated reconstruction. Two radiologists independently rated the image quality on a 5-point scale across five aspects (signal homogeneities in the left lobe, geometric fidelity, liver edge sharpness, vessel clarity, and overall image quality). Mean scores were compared among the four techniques using the Friedman test. The repeatability of ADC measurements was evaluated with Bland-Altman analysis, and differences in ADC values between liver lobes and techniques were analyzed using two-way repeated measures ANOVA.

results35 participants were enrolled, with twenty completing repeated scans. FB DW-Propeller-EPI demonstrated significantly higher ratings than the three routine DW-ss-EPI sequences across all aspects (all P < 0.001), with good interobserver agreements (ICC ranging from 0.80-0.88). The mean geometric fidelity score of FB DW-Propeller-EPI was rated the highest (4.86 ± 0.33). FB DW-Propeller-EPI also exhibited superior ADC repeatability in both the left and right liver lobes (LOA: 0.212 × 10

conclusionsThe proposed FB DW-Propeller-EPI technique enables high-quality FB liver DWI with satisfactory ADC repeatability, outperforming conventional DW-ss-EPI in image quality and ADC repeatability. This advancement addresses the limitations of routine DW-ss-EPI in FB scenarios, offering a promising solution for clinical applications in challenging population.

Indexed as

Diffusion Magnetic Resonance ImagingEcho-Planar ImagingLiverRespirationAdultFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedProspective StudiesReproducibility of ResultsDiffusion‐weighted imagingfree‐breathingliver ADC measurementliver DWImulti‐shot DWIPropeller‐EPI

Identifiers

PMID41345072
PMCPMC12678224

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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.