Evidence map›Paper›PMID 37840998›Full record

ArticleFrontiers in medicine2023

An analysis of the regional heterogeneity in tissue elasticity in lung cancer patients with COPD.

Michael Lauria, Bradley Stiehl, Anand Santhanam, Dylan O'Connell, Louise Naumann, Michael McNitt-Gray, Ann Raldow, Jonathan Goldin, Igor Barjaktarevic, Daniel A Low

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in medicine, 2023. 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
0.8field-weighted citation impact, top 24% 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, 3 citations in OpenAlex.

  1. Article
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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 1 institution in 1 country.

Michael LauriaDepartment of Radiation Oncology, University of California, Los Angeles, Los Angeles, CA, United States.
Bradley StiehlDepartment of Radiation Oncology, University of California, Los Angeles, Los Angeles, CA, United States.
Anand SanthanamDepartment of Radiation Oncology, University of California, Los Angeles, Los Angeles, CA, United States.
Dylan O'ConnellDepartment of Radiation Oncology, University of California, Los Angeles, Los Angeles, CA, United States.
Louise NaumannDepartment of Radiation Oncology, University of California, Los Angeles, Los Angeles, CA, United States.
Michael McNitt-GrayDepartment of Radiological Sciences, University of California, Los Angeles, Los Angeles, CA, United States.
Ann RaldowDepartment of Radiation Oncology, University of California, Los Angeles, Los Angeles, CA, United States.
Jonathan GoldinDepartment of Radiological Sciences, University of California, Los Angeles, Los Angeles, CA, United States.
Igor BarjaktarevicDivision of Pulmonary and Critical Care Medicine, University of California, Los Angeles, Los Angeles, CA, United States.
Daniel A LowDepartment of Radiation Oncology, University of California, Los Angeles, Los Angeles, CA, United States.
University of California, Los Angeles · 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 HL139767
6 · The paper itself

Abstract

Purpose: Recent advancements in obtaining image-based biomarkers from CT images have enabled lung function characterization, which could aid in lung interventional planning. However, the regional heterogeneity in these biomarkers has not been well documented, yet it is critical to several procedures for lung cancer and COPD. The purpose of this paper is to analyze the interlobar and intralobar heterogeneity of tissue elasticity and study their relationship with COPD severity. Methods: We retrospectively analyzed a set of 23 lung cancer patients for this study, 14 of whom had COPD. For each patient, we employed a 5DCT scanning protocol to obtain end-exhalation and end-inhalation images and semi-automatically segmented the lobes. We calculated tissue elasticity using a biomechanical property estimation model. To obtain a measure of lobar elasticity, we calculated the mean of the voxel-wise elasticity values within each lobe. To analyze interlobar heterogeneity, we defined an index that represented the properties of the least elastic lobe as compared to the rest of the lobes, termed the Elasticity Heterogeneity Index (EHI). An index of 0 indicated total homogeneity, and higher indices indicated higher heterogeneity. Additionally, we measured intralobar heterogeneity by calculating the coefficient of variation of elasticity within each lobe. Results: The mean EHI was 0.223 ± 0.183. The mean coefficient of variation of the elasticity distributions was 51.1% ± 16.6%. For mild COPD patients, the interlobar heterogeneity was low compared to the other categories. For moderate-to-severe COPD patients, the interlobar and intralobar heterogeneities were highest, showing significant differences from the other groups. Conclusion: We observed a high level of lung tissue heterogeneity to occur between and within the lobes in all COPD severity cases, especially in moderate-to-severe cases. Heterogeneity results demonstrate the value of a regional, function-guided approach like elasticity for procedures such as surgical decision making and treatment planning.

Indexed as

biomechanical propertiesCOPDelasticityfunction sparing treatment planninglung heterogeneity

Identifiers

PMID37840998
PMCPMC10575648
OpenAlexW4387184662

What OpenQuestion holds

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LicenceCC BY
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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.