Evidence map›Paper›PMID 28980395›Full record

ArticleJournal of applied clinical medical physics2017

Improved vessel-tissue contrast and image quality in 3D radial sampling-based 4D-MRI.

Zixin Deng, Wensha Yang, Jianing Pang, Xiaoming Bi, Richard Tuli, Debiao Li, Zhaoyang Fan

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2017. 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
–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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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.

Zixin DengDepartment of Biomedical Sciences, Biomedical Imaging Research Institute, Cedars Sinai Medical Center, Los Angeles, CA, USA.
Wensha YangDepartment of Biomedical Sciences, Biomedical Imaging Research Institute, Cedars Sinai Medical Center, Los Angeles, CA, USA.
Jianing PangDepartment of Biomedical Sciences, Biomedical Imaging Research Institute, Cedars Sinai Medical Center, Los Angeles, CA, USA.
Xiaoming BiMR R&D, Siemens Healthineers, Los Angeles, CA, USA.
Richard TuliDepartment of Radiation Oncology, Cedars Sinai Medical Center, Los Angeles, CA, USA.
Debiao LiDepartment of Biomedical Sciences, Biomedical Imaging Research Institute, Cedars Sinai Medical Center, Los Angeles, CA, USA.
Zhaoyang FanDepartment of Biomedical Sciences, Biomedical Imaging Research Institute, Cedars Sinai Medical Center, Los Angeles, CA, USA.

Funding

Improving Pancreas RT Plans using Respiration-driven Anatomic DeformationR03CA173273 · NCI · CEDARS-SINAI MEDICAL CENTER · PI YANG, WENSHA · 2013 to 2014
$158k
NCI NIH HHS R03 CA173273
6 · The paper itself

Abstract

purposeIn radiation treatment planning for thoracic and abdominal tumors, 4D-MRI has shown promise in respiratory motion characterization with improved soft-tissue contrast compared to clinical standard, 4D computed tomography (4D-CT). This study aimed to further improve vessel-tissue contrast and overall image quality in 3D radial sampling-based 4D-MRI using a slab-selective (SS) excitation approach.

methodsThe technique was implemented in a 3D radial sampling with self-gating-based k-space sorting sequence. The SS excitation approach was compared to a non-selective (NS) approach in six cancer patients and two healthy volunteers at 3T. Improvements in vessel-tissue contrast ratio (CR) and vessel signal-to-noise ratio (SNR) were analyzed in five of the eight subjects. Image quality was visually assessed in all subjects on a 4-point scale (0: poor; 3: excellent). Tumor (patients) and pancreas (healthy) motion trajectories were compared between the two imaging approaches.

resultsCompared with NS-4D-MRI, SS-4D-MRI significantly improved the overall vessel-tissue CR (2.60 ± 3.97 vs. 1.03 ± 1.44, P < 0.05), SNR (63.33 ± 38.45 vs. 35.74 ± 28.59, P < 0.05), and image quality score (2.6 ± 0.5 vs. 1.4 ± 0.5, P = 0.02). Motion trajectories from the two approaches exhibited strong correlation in the superior-inferior (0.96 ± 0.06), but weaker in the anterior-posterior (0.78 ± 0.24) and medial-lateral directions (0.46 ± 0.44).

conclusionsThe proposed 4D-MRI with slab-selectively excited 3D radial sampling allows for improved blood SNR, vessel-tissue CR, and image quality.

Indexed as

AdultAgedCase-Control StudiesFemaleFour-Dimensional Computed TomographyHumansImaging, Three-DimensionalMagnetic Resonance ImagingMaleMiddle AgedMotionNeoplasmsProspective StudiesRespirationRespiratory-Gated Imaging Techniques3D radial-sampling4D-MRIradiotherapy planning. respiratory motionvessel enhancement

Identifiers

PMID28980395
PMCPMC5689937

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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.