Evidence map›Paper›PMID 30612962›Full record

ArticleInternational journal of radiation oncology, biology, physics2019

Characterizing Spatial Lung Function for Esophageal Cancer Patients Undergoing Radiation Therapy.

Albert Pinder-Arabpour, Bernard Jones, Richard Castillo, Edward Castillo, Thomas Guerrero, Karyn Goodman, Tracey Schefter, Jennifer Kwak, Moyed Miften, Yevgeniy Vinogradskiy

Open access · greenAbstract read
In one paragraph

Article in International journal of radiation oncology, biology, physics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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  3. 4DCT ventilation function image-based functional lung protection for esophageal cancer radiotherapy.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 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

10 authors at 3 institutions in 1 country.

Albert Pinder-ArabpourDepartment of Radiation Oncology, University of Colorado School of Medicine, Aurora, Colorado. Electronic address: albert.pinder-arabpour@ucdenver.edu.
Bernard JonesDepartment of Radiation Oncology, University of Colorado School of Medicine, Aurora, Colorado.
Richard CastilloDepartment of Radiation Oncology, Emory University, Winship Cancer Institute, Atlanta, Georgia.
Edward CastilloDepartment of Radiation Oncology, Beaumont Health System, Royal Oak, Michigan.
Thomas GuerreroDepartment of Radiation Oncology, Beaumont Health System, Royal Oak, Michigan.
Karyn GoodmanDepartment of Radiation Oncology, University of Colorado School of Medicine, Aurora, Colorado.
Tracey SchefterDepartment of Radiation Oncology, University of Colorado School of Medicine, Aurora, Colorado.
Jennifer KwakDepartment of Radiation Oncology, University of Colorado School of Medicine, Aurora, Colorado.
Moyed MiftenDepartment of Radiation Oncology, University of Colorado School of Medicine, Aurora, Colorado.
Yevgeniy VinogradskiyDepartment of Radiation Oncology, University of Colorado School of Medicine, Aurora, Colorado.
University of Colorado Denver · USBeaumont Health · USEmory University · US

Funding

Clinical trial personalizing radiation therapy through a novel lung function imaging modalityR01CA200817 · NCI · UNIVERSITY OF COLORADO DENVER · PI VINOGRADSKIY, YEVGENIY · 2016 to 2018
$618k
NCI NIH HHS R01 CA200817
6 · The paper itself

Abstract

purposePatients with esophageal cancer treated with chemoradiation and surgery can develop pulmonary complications. Four-dimensional computed tomography-ventilation (4DCT-ventilation) is a developing imaging modality that uses 4DCT data to calculate lung ventilation. 4DCT-ventilation has been studied in the lung-cancer population but has yet to be extended to patients with esophageal cancer. The purpose of this study was to characterize 4DCT-ventilation-based spatial lung function for patients with esophageal cancer. METHODS AND MATERIALS: Thirty-five patients with esophageal cancer who underwent 4DCT scans participated in the study. A 4DCT-ventilation map was calculated using the patient's 4DCT imaging and a density change-based algorithm. To assess each patient's ventilation profile, radiologist interpretations and quantitative metrics were used. A radiologist interpreted the 4DCT-ventilation images for lobar-based defects and gravity-dependent atelectasis. The 4DCT-ventilation maps were reduced to single metrics intended to reflect the degree of ventilation heterogeneity. The quantitative metrics included the coefficient of variation and metrics based on the ventilation in each lung and each lung third (superior-inferior ventilation [Vent-SI] and anteroposterior ventilation). The functional profile of patients with esophageal cancer was characterized and compared (using the Mann-Whitney test) for cohorts based on thoracic comorbidities and radiologist-identified defects.

resultsRadiologist observations revealed that 26% of patients with esophageal cancer had lobar-based defects and 46% had gravity-dependent atelectasis. The baseline values were 0.52 ± 0.20 (mean ± SD), 11.2 ± 12.5, and 72.5 ± 14.6 for the coefficient of variation, the ventilation ratio of right to left lung, and Vent-SI metrics, respectively. The Vent-SI values were significantly different between patients with and without thoracic comorbidities (P = .05), and the anteroposterior ventilation metric was able to delineate patients with and without gravity-dependent atelectasis (P < .01).

conclusionsOur data demonstrate that approximately 30% of patients with esophageal cancer have significant ventilation heterogeneities. The current work uses radiologist observations and quantitative metrics to characterize 4DCT ventilation-based lung function for patients with esophageal cancer and presents data that can be used for future applications of 4DCT-ventilation to reduce thoracic toxicity for patients with esophageal cancer.

Indexed as

ChemoradiotherapyCohort StudiesComputer SimulationEsophageal NeoplasmsFemaleFour-Dimensional Computed TomographyHumansLungLung NeoplasmsMaleObserver VariationPulmonary AtelectasisRadiologyRadiotherapyRadiotherapy Planning, Computer-AssistedReproducibility of Results

Identifiers

PMID30612962
PMCPMC7063843
OpenAlexW2898599533

What OpenQuestion holds

Textmetadata
LicenceTDM
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.