Evidence map›Paper›PMID 34085384›Full record

ArticleJournal of applied clinical medical physics2021

On the evaluation of mobile target trajectory between four-dimensional computer tomography and four-dimensional cone-beam computer tomography.

Colton Baley, Neil Kirby, Timothy Wagner, Nikos Papanikolaou, Pamela Myers, Karl Rasmussen, Sotirios Stathakis, Daniel Saenz

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  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

8 authors.

Colton BaleyDepartment of Radiation Oncology, School of Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
Neil KirbyDepartment of Radiation Oncology, School of Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
Timothy WagnerDepartment of Radiation Oncology, School of Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
Nikos PapanikolaouDepartment of Radiation Oncology, School of Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
Pamela MyersDepartment of Radiation Oncology, School of Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
Karl RasmussenDepartment of Radiation Oncology, School of Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
Sotirios StathakisDepartment of Radiation Oncology, School of Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
Daniel SaenzDepartment of Radiation Oncology, School of Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.

Funding

NRSA Training Core (TL1)TL1TR002647 · NCATS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI CHUN, YONG-HEE PATRICIA, FREI, CHRISTOPHER R. · 2018 to 2022
$1.8M
NCATS NIH HHS TL1 TR002647
6 · The paper itself

Abstract

purposeFor mobile lung tumors, four-dimensional computer tomography (4D CT) is often used for simulation and treatment planning. Localization accuracy remains a challenge in lung stereotactic body radiation therapy (SBRT) treatments. An attractive image guidance method to increase localization accuracy is 4D cone-beam CT (CBCT) as it allows for visualization of tumor motion with reduced motion artifacts. However, acquisition and reconstruction of 4D CBCT differ from that of 4D CT. This study evaluates the discrepancies between the reconstructed motion of 4D CBCT and 4D CT imaging over a wide range of sine target motion parameters and patient waveforms.

methodsA thorax motion phantom was used to examine 24 sine motions with varying amplitudes and cycle times and seven patient waveforms. Each programmed motion was imaged using 4D CT and 4D CBCT. The images were processed to auto segment the target. For sine motion, the target centroid at each phase was fitted to a sinusoidal curve to evaluate equivalence in amplitude between the two imaging modalities. The patient waveform motion was evaluated based on the average 4D data sets.

resultsThe mean difference and root-mean-square-error between the two modalities for sine motion were -0.35 ± 0.22 and 0.60 mm, respectively, with 4D CBCT slightly overestimating amplitude compared with 4D CT. The two imaging methods were determined to be significantly equivalent within ±1 mm based on two one-sided t tests (p < 0.001). For patient-specific motion, the mean difference was 1.5 ± 2.1 (0.8 ± 0.6 without outlier), 0.4 ± 0.3, and 0.8 ± 0.6 mm for superior/inferior (SI), anterior/posterior (AP), and left/right (LR), respectively.

conclusionIn cases where 4D CT is used to image mobile tumors, 4D CBCT is an attractive localization method due to its assessment of motion with respect to 4D CT, particularly for lung SBRT treatments where accuracy is paramount.

Indexed as

Lung NeoplasmsRadiosurgeryComputersCone-Beam Computed TomographyFour-Dimensional Computed TomographyHumansPhantoms, Imaging4D CBCT4D CTlung cancermotion managementSBRT

Identifiers

PMID34085384
PMCPMC8292704

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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.