Evidence map›Paper›PMID 30047588›Full record

ArticleMedical physics2018

Quantifying ventilation change due to radiation therapy using 4DCT Jacobian calculations.

Taylor J Patton, Sarah E Gerard, Wei Shao, Gary E Christensen, Joseph M Reinhardt, John E Bayouth

Open access · hybridAbstract read
In one paragraph

Article in Medical physics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 10% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
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  5. [Research progress on predicting radiation pneumonia based on four-dimensional computed tomography ventilation imaging in lung cancer radiotherapy].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025
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  13. Characterizing spatial differences between SPECT-ventilation and SPECT-perfusion in patients with lung cancer undergoing radiotherapy.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2021
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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

6 authors at 2 institutions in 1 country.

Taylor J PattonDepartment of Medical Physics, University of Wisconsin - Madison, Madison, WI, 53705, USA.
Sarah E GerardDepartment of Biomedical Engineering, The University of Iowa, Iowa City, IA, 52242, USA.
Wei ShaoDepartment of Electrical and Computer Engineering, The University of Iowa, Iowa City, IA, 52242, USA.
Gary E ChristensenDepartment of Electrical and Computer Engineering, The University of Iowa, Iowa City, IA, 52242, USA.
Joseph M ReinhardtDepartment of Biomedical Engineering, The University of Iowa, Iowa City, IA, 52242, USA.
John E BayouthDepartment of Human Oncology, University of Wisconsin - Madison, Madison, WI, 53792, USA.
University of Iowa · USUniversity of Wisconsin–Madison · US

Funding

Viral VectorP30CA086862 · NCI · UNIVERSITY OF IOWA · PI Mark E Burkard · 2000 to 2026
$70.0M
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 CA166703The University of Iowa Carver College of Medicine
6 · The paper itself

Abstract

purposeRegional ventilation and its response to radiation dose can be estimated using four-dimensional computed tomography (4DCT) and image registration. This study investigated the impact of radiation therapy (RT) on ventilation and the dependence of radiation-induced ventilation change on pre-RT ventilation derived from 4DCT. METHODS AND MATERIALS: Three 4DCT scans were acquired from each of 12 subjects: two scans before RT and one scan 3 months after RT. The 4DCT datasets were used to generate the pre-RT and post-RT ventilation maps by registering the inhale phase image to the exhale phase image and computing the Jacobian determinant of the resulting transformation. The ventilation change between pre-RT and post-RT was calculated by taking a ratio of the post-RT Jacobian map to the pre-RT Jacobian map. The voxel-wise ventilation change between pre- and post-RT was investigated as a function of dose and pre-RT ventilation.

resultsLung regions receiving over 20 Gy exhibited a significant decrease in function (3.3%, P < 0.01) compared to those receiving less than 20 Gy. When the voxels were stratified into high and low pre-RT function by thresholding the Jacobian map at 10% volume expansion (Jacobian = 1.1), high-function voxels exhibited 4.8% reduction in function for voxels receiving over 20 Gy, a significantly greater decline (P = 0.037) than the 2.4% reduction in function for low-function voxels. Ventilation decreased linearly with dose in both high-function and low-function regions. High-function regions showed a significantly larger decline in ventilation (P ≪ 0.001) as dose increased (1.4% ventilation reduction/10 Gy) compared to low-function regions (0.3% ventilation reduction/10 Gy). With further stratification of pre-RT ventilation, voxels exhibited increasing dose-dependent ventilation reduction with increasing pre-RT ventilation, with the largest pre-RT Jacobian bin (pre-RT Jacobian between 1.5 and 1.6) exhibiting a ventilation reduction of 4.8% per 10 Gy.

conclusionsSignificant ventilation reductions were measured after radiation therapy treatments, and were dependent on the dose delivered to the tissue and the pre-RT ventilation of the tissue. For a fixed radiation dose, lung tissue with high pre-RT ventilation experienced larger decreases in post-RT ventilation than lung tissue with low pre-RT ventilation.

Indexed as

Four-Dimensional Computed TomographyAdultAgedDose-Response Relationship, RadiationFemaleHumansImage Processing, Computer-AssistedLung NeoplasmsMaleMiddle AgedPulmonary Ventilation4DCTdeformable image registrationlung cancerRT responseventilation

Identifiers

PMID30047588
PMCPMC6220845
OpenAlexW2884676681

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.