Evidence map›Paper›PMID 28058533›Full record

ArticleInternational journal of computer assisted radiology and surgery2017

The numerical stability of transformation-based CT ventilation.

Edward Castillo, Richard Castillo, Yevgeniy Vinogradskiy, Thomas Guerrero

Abstract read
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

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  2. Evaluation of variables predicting PFT changes for lung cancer patients treated on a prospective 4DCT-ventilation functional avoidance clinical trial.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2023
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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

4 authors.

Edward CastilloDepartment of Radiation Oncology, Beaumont Health Systems, Royal Oak, MI, USA. ec@rice.edu.ORCID http://orcid.org/0000-0003-0523-487X
Richard CastilloDepartment of Radiation Oncology, University of Texas Medical Branch, Galveston, TX, USA.
Yevgeniy VinogradskiyDepartment of Radiation Oncology, University of Colorado, Denver, CO, USA.
Thomas GuerreroDepartment of Radiation Oncology, Beaumont Health Systems, Royal Oak, MI, USA.

Funding

A Bayesian Framework for Inter-Modality Deformable Image Registration EvaluationK01CA181292 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CASTILLO, RICHARD · 2013 to 2016
$478k
NCI NIH HHS K01 CA181292NIBIB NIH HHS L30 EB015749
6 · The paper itself

Abstract

Computed tomography (CT)-derived ventilation imaging utilizes deformable image registration (DIR) to recover respiratory-induced tissue volume changes from inhale/exhale 4DCT phases. While current strategies for validating CT ventilation rely on analyzing its correlation with existing functional imaging modalities, the numerical stability of the CT ventilation calculation has not been characterized. PURPOSE: The purpose of this study is to examine how small changes in the DIR displacement field can affect the calculation of transformation-based CT ventilation.

methodsFirst, we derive a mathematical theorem, which states that the change in ventilation metric induced by a perturbation to single displacement vector is bounded by the perturbation magnitude. Second, we introduce a novel Jacobian constrained optimization method for computing user-defined CT ventilation images.

resultsUsing the Jacobian constrained method, we demonstrate that for the same inhale/exhale CT pair, it is possible to compute two DIR transformations that have similar spatial accuracies, but generate ventilation images with significantly different physical characteristics. In particular, we compute a CT ventilation image that perfectly correlates with a single-photon emission CT perfusion scan.

conclusionThe analysis and experiments indicate that while transformation-based CT ventilation is a promising modality, small changes in the DIR displacement field can result in large relative changes in the ventilation image. As such, approaches for improving the reproducibility of CT ventilation are still needed.

Indexed as

RespirationAlgorithmsFour-Dimensional Computed TomographyHumansImage Processing, Computer-AssistedReproducibility of ResultsTomography, Emission-Computed, Single-PhotonComputed tomographyDeformable image registrationFunctional image analysisVentilation

Identifiers

PMID28058533
PMCPMC5362676

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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.