Evidence map›Paper›PMID 32166757›Full record

ArticleMedical physics2020

A super-resolution framework for the reconstruction of T2-weighted (T2w) time-resolved (TR) 4DMRI using T1w TR-4DMRI as the guidance.

Xingyu Nie, Ziad Saleh, Mo Kadbi, Kristen Zakian, Joseph Deasy, Andreas Rimner, Guang Li

Abstract read
In one paragraph

Article in Medical physics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Rapid 4D-MRI reconstruction using a deep radial convolutional neural network: Dracula.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2021
    Article
  8. Review
  9. Article
  10. 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

7 authors.

Xingyu NieDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Ziad SalehDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Mo KadbiPhilips Healthcare, MR Therapy, Cleveland, OH, USA.
Kristen ZakianDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Joseph DeasyDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Andreas RimnerDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Guang LiDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Breast Cancer Research Foundation BCRF-17-193NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

purposeThe purpose of this study was to develop T2-weighted (T2w) time-resolved (TR) four-dimensional magnetic resonance imaging (4DMRI) reconstruction technique with higher soft-tissue contrast for multiple breathing cycle motion assessment by building a super-resolution (SR) framework using the T1w TR-4DMRI reconstruction as guidance.

methodsThe multi-breath T1w TR-4DMRI was reconstructed by deforming a high-resolution (HR: 2 × 2 × 2 mm

resultsIn the 4D digital phantom, excellent tumor alignment after T2

conclusionsThis study has demonstrated the feasibility of T2w TR-4DMRI reconstruction with high soft-tissue contrast and adequately-preserved tumor position, size, and shape in multiple breathing cycles. The T2w-centric DIR (method B) produces a superior solution for the SR-based framework of T2w TR-4DMRI reconstruction with highly preserved tumor characteristics and local image features, which are useful for tumor delineation and motion management in radiation therapy.

Indexed as

ArtifactsRespirationHumansImaging, Three-DimensionalMagnetic Resonance ImagingPhantoms, Imagingdeformable image registration (DIR)radiotherapy motion simulationradiotherapy planningsuper-resolution image reconstructionT2w time-resolved 4DMRI

Identifiers

PMID32166757
PMCPMC8359726

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.