Evidence map›Paper›PMID 37296169›Full record

ArticleScientific reports2023

Validation of CT-based ventilation and perfusion biomarkers with histopathology confirms radiation-induced pulmonary changes in a porcine model.

Mattison J Flakus, Antonia E Wuschner, Eric M Wallat, Melissa Graham, Wei Shao, Dhanansayan Shanmuganayagam, Gary E Christensen, Joseph M Reinhardt, John E Bayouth

Abstract read
In one paragraph

Article in Scientific reports, 2023. 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
  2. Article
  3. Article
  4. Article
  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

9 authors.

Mattison J Flakus *Department of Medical Physics, University of Wisconsin - Madison, Madison, WI, USA. flakus@wisc.edu.
Antonia E Wuschner *Department of Medical Physics, University of Wisconsin - Madison, Madison, WI, USA.
Eric M WallatDepartment of Medical Physics, University of Wisconsin - Madison, Madison, WI, USA.
Melissa GrahamResearch Animal Resources and Compliance, University of Wisconsin - Madison, Madison, WI, USA.
Wei ShaoDepartment of Medicine, University of Florida, Gainesville, FL, USA.
Dhanansayan ShanmuganayagamDepartment of Surgery, University of Wisconsin - Madison, Madison, WI, USA.
Gary E ChristensenDepartment of Electrical and Computer Engineering, University of Iowa, Iowa City, IA, USA.
Joseph M ReinhardtRoy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, IA, USA.
John E BayouthDepartment of Radiation Medicine, Oregon Health Sciences University, Portland, OR, USA.

Funding

Predicting Pulmonary Function Change to Improve Radiation Planning and OutcomeR01CA166703 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI BAYOUTH, JOHN · 2013 to 2017
$1.9M
NCI NIH HHS R01 CA166703NIH HHS R01 CA166703
6 · The paper itself

Abstract

Imaging biomarkers can assess disease progression or prognoses and are valuable tools to help guide interventions. Particularly in lung imaging, biomarkers present an opportunity to extract regional information that is more robust to the patient's condition prior to intervention than current gold standard pulmonary function tests (PFTs). This regional aspect has particular use in functional avoidance radiation therapy (RT) in which treatment planning is optimized to avoid regions of high function with the goal of sparing functional lung and improving patient quality of life post-RT. To execute functional avoidance, detailed dose-response models need to be developed to identify regions which should be protected. Previous studies have begun to do this, but for these models to be clinically translated, they need to be validated. This work validates two metrics that encompass the main components of lung function (ventilation and perfusion) through post-mortem histopathology performed in a novel porcine model. With these methods validated, we can use them to study the nuanced radiation-induced changes in lung function and develop more advanced models.

Indexed as

Lung NeoplasmsAnimalsBiomarkersLungPerfusionQuality of LifeRadiotherapy Planning, Computer-AssistedSwineTomography, X-Ray ComputedBiomarkers

Identifiers

PMID37296169
PMCPMC10256800

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.