Evidence map›Paper›PMID 34706072›Full record

ArticleMedical physics2021

Multi-contrast four-dimensional magnetic resonance imaging (MC-4D-MRI): Development and initial evaluation in liver tumor patients.

Lei Zhang, Fang-Fang Yin, Tian Li, Xinzhi Teng, Haonan Xiao, Wendy Harris, Lei Ren, Feng-Ming Spring Kong, Hong Ge, Ronghu Mao and 1 more

Open access · greenAbstract read
In one paragraph

Article in Medical physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 16% of its field
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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. 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
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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

11 authors at 6 institutions in 3 countries.

Lei ZhangDepartment of Radiation Oncology, Duke University Medical Center, Durham, North Carolina, USA.
Fang-Fang YinDepartment of Radiation Oncology, Duke University Medical Center, Durham, North Carolina, USA.
Tian LiDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China.
Xinzhi TengDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China.
Haonan XiaoDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China.
Wendy HarrisDepartment of Radiation Oncology, Duke University Medical Center, Durham, North Carolina, USA.
Lei RenDepartment of Radiation Oncology, University of Maryland, Baltimore, Maryland, USA.
Feng-Ming Spring KongDepartment of Clinical Oncology, The University of Hong Kong, Hong Kong, China.
Hong GeDepartment of Radiation Oncology, The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Ronghu MaoDepartment of Radiation Oncology, The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Jing CaiDepartment of Radiation Oncology, Duke University Medical Center, Durham, North Carolina, USA.
Hong Kong Polytechnic University · HKDuke Medical Center · USZhengzhou University · CNChinese University of Hong Kong · CNDuke University · USUniversity of Maryland, Baltimore · US

Funding

Toward precision radiotherapy: Physiological modeling of respiratory motion based on ultra-quality 4D-MRIR01CA226899 · NCI · UNIVERSITY OF VIRGINIA · PI CAI, JING, MILLER, G. WILSON · 2019 to 2023
$2.2M
Hybrid virtual-MRI/CBCT: A new paradigm for image guidance in liver SBRTR01EB028324 · NIBIB · UNIVERSITY OF MARYLAND BALTIMORE · PI REN, LEI, YIN, FANG-FANG · 2019 to 2022
$2.1M
Motion Management Using 4D-MRI for Liver Cancer in Radiation TherapyR21CA165384 · NCI · DUKE UNIVERSITY · PI CAI, JING, YIN, FANG-FANG · 2013 to 2015
$642k
Assessing deformable image registration in the lung using hyperpolarized-gas MRIR21CA195317 · NCI · DUKE UNIVERSITY · PI CAI, JING, MILLER, G. WILSON · 2016 to 2017
$447k
General Research Fund GRF 15102118General Research Fund GRF 15102219Health and Medical Research Fund HMRF 06173276NCI NIH HHS R01 CA226899NCI NIH HHS R21 CA165384NCI NIH HHS R21 CA195317NIBIB NIH HHS R01 EB028324NIH HHS 1R01CA226899NIH HHS 1R01EB028324NIH HHS 1R21CA165384NIH HHS 1R21CA195317
6 · The paper itself

Abstract

purposeTo develop a novel multi-contrast four-dimensional magnetic resonance imaging (MC-4D-MRI) technique that expands single image contrast 4D-MRI to a spectrum of native and synthetic image contrasts and to evaluate its feasibility in liver tumor patients. METHODS AND MATERIALS: The MC-4D-MRI technique integrates multi-parametric MRI fusion, 4D-MRI, and deformable image registration (DIR) techniques. The fusion technique consists of native MRI as input, image pre-processing, fusion algorithm, adaptation, and fused multi-contrast MRI as output. Four-dimensional deformation vector fields (4D-DVF) were generated from an original T2/T1-w 4D-MRI by deforming end-of-inhalation (EOI) to nine other phase volumes via DIR. The 4D-DVF were applied to multi-contrast MRI to generate a spectrum of 4D-MRI in different image contrasts. The MC-4D-MRI technique was evaluated in five liver tumor patients on tumor contrast-to-noise ratio (CNR), internal target volume (ITV) contouring consistency, diaphragm motion range, and tumor motion trajectory; and in digital anthropomorphic phantoms on 4D-DIR introduced errors in tumor motion range, centroid location, extent, and volume.

resultsMC-4D-MRI consisting of 4D-MRIs in native image contrasts (T1-w, T2-w, and T2/T1-w) and synthetic image contrasts, such as tumor-enhanced contrast (TEC) were generated in five liver tumor patients. Patient tumor CNR increased from 2.6 ± 1.8 in the T2/T1-w MRI, to -4.4 ± 2.4, 6.6 ± 3.0, and 9.6 ± 3.9 in the T1-w, T2-w, and TEC MRI, respectively. Patient ITV inter-observer mean Dice similarity coefficient (mDSC) increased from 0.65 ± 0.10 in the original T2/T1-w 4D-MRI, to 0.76 ± 0.14, 0.77 ± 0.12, and 0.86 ± 0.05 in the T1-w, T2-w, and TEC 4D-MRI, respectively. Patient diaphragm motion range absolute differences between the three new 4D-MRIs and original T2/T1-w 4D-MRI were 1.2 ± 1.3, 0.3 ± 0.7, and 0.5 ± 0.5 mm, respectively. Patient tumor displacement phase-averaged absolute differences between the three 4D-MRIs and the original 4D-MRI were 0.72 ± 0.33, 0.62 ± 0.54, and 0.74 ± 0.43 mm in the superior-inferior (SI) direction, and 0.59 ± 0.36, 0.51 ± 0.30, and 0.50 ± 0.24 mm in the anterior-posterior (AP) direction, respectively. In the digital phantoms, phase-averaged absolute tumor centroid shift caused by the 4D-DIR were at or below 0.5 mm in SI, AP, and left-right (LR) directions.

conclusionWe developed an MC-4D-MRI technique capable of expanding single image contrast 4D-MRI along a new dimension of image contrast. Initial evaluations in liver tumor patients showed enhancements in image contrast variety, tumor contrast, and ITV contouring consistencies using MC-4D-MRI. The technique might offer new perspectives on the image contrast of MRI and 4D-MRI in MR-guided radiotherapy.

Indexed as

Liver NeoplasmsMagnetic Resonance ImagingFour-Dimensional Computed TomographyHumansImage Processing, Computer-AssistedMotionPhantoms, Imaging4D-MRI5D-MRIMR-guided radiotherapymulti-contrast MRItumor-enhanced contrast

Identifiers

PMID34706072
PMCPMC9016486
OpenAlexW3208774024

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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.