Evidence map›Paper›PMID 32534966›Full record

ArticleAcademic radiology2021

Combined Assessment of Pulmonary Ventilation and Perfusion with Single-Energy Computed Tomography and Image Processing.

Yukio Fujita, Michael Kent, Erik Wisner, Lynelle Johnson, Joshua Stern, Lihong Qi, John Boone, Tokihiro Yamamoto

Registry-linked trialAbstract read
In one paragraph

Article in Academic radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07385963 (EIT-Based Pulmonary Perfusion Pulse Wave Versus Swan-Ganz Catheter in Stroke Volume Correlation), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

NCT07385963 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

EIT-Based Pulmonary Perfusion Pulse Wave Versus Swan-Ganz Catheter in Stroke Volume Correlation

Typeobservational_patient_registrySponsorUnion Hospital, Tongji Medical College, Huazhong University of Science and TechnologyRan2026 to 2027Enrolled19ConditionsShock, Acute Respiratory Distress SyndromeArmsSynchronous Data Acquisition of EIT and Pulmonary Artery Catheter
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  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

8 authors.

Yukio FujitaDepartment of Radiation Sciences, Komazawa University, Tokyo, Japan.
Michael KentDepartment of Surgical & Radiological Sciences, University of California Davis School of Veterinary Medicine, Davis, California.
Erik WisnerDepartment of Surgical & Radiological Sciences, University of California Davis School of Veterinary Medicine, Davis, California.
Lynelle JohnsonDepartment of Medicine & Epidemiology, University of California Davis School of Veterinary Medicine, Davis, California.
Joshua SternDepartment of Medicine & Epidemiology, University of California Davis School of Veterinary Medicine, Davis, California.
Lihong QiDepartment of Public Health Sciences, University of California Davis, Davis, California.
John BooneDepartment of Radiology, University of California Davis School of Medicine, Sacramento, California.
Tokihiro YamamotoDepartment of Radiation Oncology, University of California Davis School of Medicine, 4501 X Street, G-145, Sacramento, CA. Electronic address: toyamamoto@ucdavis.edu.

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI Laura Marcu · 2002 to 2026
$84.9M
NCI NIH HHS P30 CA093373
6 · The paper itself

Abstract

RATIONALE AND

objectivesTo establish a proof-of-principle for combined assessment of pulmonary ventilation and perfusion using single-energy computed tomography (CT) and image processing/analysis (denoted as single-energy CT ventilation/perfusion imaging). MATERIALS AND

methodsBreath-hold CT scans were acquired at end-expiration and end-inspiration before injection of iodinated contrast agents, and repeated at end-inspiration after contrast injection for 17 canines (8 normal and 9 diseased lung subjects). Ventilation images were calculated with deformable image registration to map the end-expiratory and end-inspiratory CT images and quantitative analysis for regional volume changes as surrogates for ventilation. Perfusion images were calculated by subtracting the end-inspiratory precontrast CT from the deformably registered end-inspiratory postcontrast CT, yielding a map of regional Hounsfield unit enhancement as a surrogate for perfusion. Ventilation-perfusion matching, spatial heterogeneity, and gravitationally directed gradients were compared between two groups using a Wilcoxon rank-sum test.

resultsThe normal group had significantly higher Dice similarity coefficients for spatial overlap of segmented functional volumes between ventilation and perfusion (median 0.40 vs. 0.33, p = 0.05), suggesting stronger ventilation-perfusion matching. The normal group also had greater Spearman's correlation coefficients based on 16 regions of interest (median 0.58 vs. 0.40, p = 0.09). The coefficients of variation were comparable (median, ventilation 0.71 vs. 0.91, p = 0.60; perfusion 0.63 vs. 0.75, p = 0.27). The linear regression slopes of gravitationally directed gradient were also comparable for ventilation (median, ventilation -0.26 vs. -0.18, p = 0.19; perfusion -0.17 vs. -0.06, p = 0.11).

conclusionThese findings provide proof-of-principle for single-energy CT ventilation/perfusion imaging.

Indexed as

Pulmonary VentilationTomography, X-Ray ComputedAnimalsDogsFour-Dimensional Computed TomographyImage Processing, Computer-AssistedLungPerfusionDeformable image registrationPerfusionPulmonary functional imagingSingle-energy computed tomography (CT)Ventilation

Identifiers

PMID32534966
PMCPMC7726003

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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.