Evidence map›Paper›PMID 39171431›Full record

ArticleMagnetic resonance in medicine2025

Abdominal MR Multitasking for radiotherapy treatment planning: A motion-resolved and multicontrast 3D imaging approach.

Junzhou Chen, Anthony G Christodoulou, Pei Han, Jiayu Xiao, Fei Han, Zhehao Hu, Nan Wang, Hui Han, Diane C Ling, Eric L Chang and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Magnetic resonance in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Abdominal simultaneous 3D water TMagnetic resonance in medicine · 2026
    Article
  3. BMagnetic resonance in medicine · 2025
    Article
  4. Multi-contrast 4DMR via MR multitasking: Early clinical experience and implication for liver stereotactic body radiation therapy.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2025
    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

16 authors.

Junzhou ChenDepartment of Radiology, University of Southern California, Los Angeles, California, USA.ORCID 0000-0001-8417-2819
Anthony G ChristodoulouDepartment of Bioengineering, University of California, Los Angeles, California, USA.ORCID 0000-0002-9334-8684
Pei HanDepartment of Bioengineering, University of California, Los Angeles, California, USA.ORCID 0000-0001-8532-9339
Jiayu XiaoDepartment of Radiology, University of Southern California, Los Angeles, California, USA.
Fei HanSiemens Medical Solutions USA, Inc., Malvern, Pennsylvania, USA.
Zhehao HuDepartment of Radiology, University of Southern California, Los Angeles, California, USA.
Nan WangBiomedical Imaging Research Institute, Cedars Sinai Medical Center, Los Angeles, California, USA.
Hui HanBiomedical Imaging Research Institute, Cedars Sinai Medical Center, Los Angeles, California, USA.
Diane C LingDepartment of Radiation Oncology, University of Southern California, Los Angeles, California, USA.
Eric L ChangDepartment of Radiation Oncology, University of Southern California, Los Angeles, California, USA.
Mary FengDepartment of Radiation Oncology, University of California, San Francisco, California, USA.
Jessica E ScholeyDepartment of Radiation Oncology, University of California, San Francisco, California, USA.
Sophia CuiSiemens Medical Solutions USA, Inc., Malvern, Pennsylvania, USA.ORCID 0000-0002-5133-4903
Debiao LiDepartment of Bioengineering, University of California, Los Angeles, California, USA.
Wensha YangDepartment of Radiation Oncology, University of California, San Francisco, California, USA.
Zhaoyang FanDepartment of Radiology, University of Southern California, Los Angeles, California, USA.ORCID 0000-0002-2693-0260

Funding

Motion-Resolved, Comprehensive Quantitative Tissue Characterization Using MR MultitaskingR01EB028146 · NIBIB · CEDARS-SINAI MEDICAL CENTER · PI CHRISTODOULOU, ANTHONY G, LI, DEBIAO · 2019 to 2022
$2.5M
Multi-Task MR Simulation for Abdominal Radiation Treatment PlanningR01EB029088 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI FAN, ZHAOYANG, YANG, WENSHA · 2020 to 2023
$2.5M
NIBIB NIH HHS R01 EB028146NIBIB NIH HHS R01 EB029088
6 · The paper itself

Abstract

purposeRadiotherapy treatment planning (RTP) using MR has been used increasingly for the abdominal site. Multiple contrast weightings and motion-resolved imaging are desired for accurate delineation of the target and various organs-at-risk and patient-tailored planning. Current MR protocols achieve these through multiple scans with distinct contrast and variable respiratory motion management strategies and acquisition parameters, leading to a complex and inaccurate planning process. This study presents a standalone MR Multitasking (MT)-based technique to produce volumetric, motion-resolved, multicontrast images for abdominal radiotherapy treatment planning.

methodsThe MT technique resolves motion and provides a wide range of contrast weightings by repeating a magnetization-prepared (saturation recovery and T

resultsIn the digital phantom study, the MT technique presented structural details and motion in excellent agreement with the digital ground truth. The in vivo studies showed that the motion range was highly correlated (R

conclusionThe developed MT-based, abdomen-dedicated technique is capable of providing motion-resolved, multicontrast volumetric images in a single scan, which may facilitate abdominal radiotherapy treatment planning.

Indexed as

AbdomenImaging, Three-DimensionalLiver NeoplasmsMagnetic Resonance ImagingMotionPhantoms, ImagingRadiotherapy Planning, Computer-AssistedAdultAlgorithmsContrast MediaFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedContrast Mediaabdominal 4D MRIlow‐rank MR reconstructionMR‐guided radiotherapy planningMR Multitaskingmulticontrast MRI

Identifiers

PMID39171431
PMCPMC11518652

What OpenQuestion holds

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Registered trials

None linked

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.