Evidence map›Paper›PMID 34410014›Full record

ArticleMedical physics2021

Ventilation measurements using fast-helical free-breathing computed tomography.

Daniel A Low, Dylan O'Connell, Michael Lauria, Bradley Stiehl, Louise Naumann, Percy Lee, John Hegde, Igor Barjaktarevic, Jonathan Goldin, Anand Santhanam

Open access · greenAbstract read
PubMed Full text at PMC Publisher
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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

10 authors at 2 institutions in 1 country.

Daniel A LowDepartment of Radiation Oncology, University of California, Los Angeles, Los Angeles, California, USA.
Dylan O'ConnellDepartment of Radiation Oncology, University of California, Los Angeles, Los Angeles, California, USA.
Michael LauriaDepartment of Radiation Oncology, University of California, Los Angeles, Los Angeles, California, USA.
Bradley StiehlDepartment of Radiation Oncology, University of California, Los Angeles, Los Angeles, California, USA.
Louise NaumannDepartment of Radiation Oncology, University of California, Los Angeles, Los Angeles, California, USA.
Percy LeeDepartment of Radiation Oncology, The University of Texas M.D. Anderson Cancer Center, Houston, Texas, USA.
John HegdeDepartment of Radiation Oncology, University of California, Los Angeles, Los Angeles, California, USA.
Igor BarjaktarevicDepartment of Medicine, University of California, Los Angeles, Los Angeles, California, USA.
Jonathan GoldinDepartment of Radiology, University of California, Los Angeles, Los Angeles, California, USA.
Anand SanthanamDepartment of Radiation Oncology, University of California, Los Angeles, Los Angeles, California, USA.
University of California, Los Angeles · USThe University of Texas MD Anderson Cancer Center · US

Funding

Flow Structure Interaction Model for COPDR56HL139767 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SANTHANAM, ANAND PRASAD · 2018 to 2018
$369k
NHLBI NIH HHS R56 HL139767NIH HHS AHRQ 27IR-0056NIH HHS R56 HL139767-01
6 · The paper itself

Abstract

purposeTo examine the use of multiple fast-helical free breathing computed tomography (FHFBCT) scans for ventilation measurement.

methodsTen patients were scanned 25 times in alternating directions using a FHFBCT protocol. Simultaneously, an abdominal pneumatic bellows was used as a real-time breathing surrogate. Regions-of-interest (ROIs) were selected from the upper right lungs of each patient for analysis. The ROIs were first registered using a published registration technique (pTV). A subsequent follow-up registration employed an objective function with two terms, a ventilation-adjusted Hounsfield Unit difference and a conservation-of-mass term labeled ΔΓ that denoted the difference between the deformation Jacobian and the tissue density ratio. The ventilations were calculated voxel-by-voxel as the slope of a first-order fit of the Jacobian as a function of the breathing amplitude.

resultsThe ventilations of the 10 patients showed different patterns and magnitudes. The average ventilation calculated from the deformation vector fields (DVFs) of the pTV and secondary registration was nearly identical, but the standard deviation of the voxel-to-voxel differences was approximately 0.1. The mean of the 90

conclusionsThis work introduces the use of multiple free-breathing CT scans for free-breathing ventilation measurements. The approach has some benefits over the traditional use of 4-dimensional CT (4DCT) or breath-hold scans. The benefit over 4DCT is that FHFBCT does not have sorting artifacts. The benefits over breath-hold scans include the relatively small motion induced by quiet respiration versus deep-inspiration breath hold and the potential for characterizing dynamic breathing processes that disappear during breath hold.

Indexed as

Lung NeoplasmsArtifactsFour-Dimensional Computed TomographyHumansLungRespirationTomography, Spiral Computed4DCT5DCTcomputed tomography-based ventilationfast-helical free-breathing computed tomography

Identifiers

PMID34410014
PMCPMC8568635
OpenAlexW3193813489

What OpenQuestion holds

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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.