Evidence map›Paper›PMID 33361579›Full record

ArticlePhysics in medicine and biology2021

A hierarchical model of abdominal configuration changes extracted from golden angle radial magnetic resonance imaging.

Yuhang Zhang, Rojano Kashani, Yue Cao, Theodore S Lawrence, Adam Johansson, James M Balter

Abstract read
In one paragraph

Article in Physics in medicine and biology, 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
–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

5 citing papers in PubMed.

  1. Article
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  5. Review
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

6 authors.

Yuhang ZhangDepartment of Radiation Oncology, University of Michigan, United States of America.
Rojano KashaniDepartment of Radiation Oncology, University of Michigan, United States of America.
Yue CaoDepartment of Radiation Oncology, University of Michigan, United States of America.
Theodore S LawrenceDepartment of Radiation Oncology, University of Michigan, United States of America.
Adam JohanssonDepartment of Surgical Sciences, Uppsala University, Sweden.
James M BalterDepartment of Radiation Oncology, University of Michigan, United States of America.

Funding

Optimizing MRI for Radiation Therapy Treatment PlanningR01EB016079 · NIBIB · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BALTER, JAMES M, CAO, YUE · 2013 to 2022
$3.1M
NIBIB NIH HHS R01 EB016079
6 · The paper itself

Abstract

Abdominal organs are subject to a variety of physiological forces that superimpose their effects to influence local motion and configuration. These forces not only include breathing, but can also arise from cyclic antral contractions and a range of slow configuration changes. To elucidate each individual motion pattern as well as their combined effects, a hierarchical motion model was built for characterization of these 3 motion modes (characterized as deformation maps between states) using golden angle radial MR signals. Breathing motions are characterized first. Antral contraction states are then reconstructed after breathing motion-induced deformation are corrected; slow configuration change states are further extracted from breathing motion-corrected image reconstructions. The hierarchical model is established based on these multimodal states, which can be either individually shown or combined to demonstrate any arbitrary composited motion patterns. The model was evaluated using 20 MR scans acquired from 9 subjects. Poor reproducibility of breathing motions both within as well as between scan sessions was observed, with an average intra-subject difference of 1.6 cycles min

Indexed as

Magnetic Resonance ImagingModels, TheoreticalAbdomenHumansImage Processing, Computer-AssistedMovementReproducibility of ResultsRespiration

Identifiers

PMID33361579
PMCPMC7993537

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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.