Evidence map›Paper›PMID 35930373›Full record

ArticleJournal of applied clinical medical physics2022

A new method for assessing lung tumor motion in radiotherapy using dynamic chest radiography.

Kazushi Kitamura, Kenji Takayama, Ryo Yamazaki, Yukihiro Ueda, Shigeo Nishiki

Open access · goldAbstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2022. 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
1.9field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Kazushi KitamuraDepartment of Radiology, Tenri Hospital, Tenri, Japan.
Kenji TakayamaDepartment of Radiation Oncology, Tenri Hospital, Tenri, Japan.
Ryo YamazakiDepartment of Radiology, Tenri Hospital, Tenri, Japan.
Yukihiro UedaDepartment of Radiology, Tenri Hospital, Tenri, Japan.
Shigeo NishikiJapanese Society of Radiological Technology, Shimogyo-ku, Japan.
Tenri Hospital · JPJapanese Society of Medical Oncology · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dynamic chest radiography (DCR) is a recent advanced modality to acquire dynamic and functional images. We developed a new method using DCR and the free analysis software, Kinovea, to assess lung tumor motion. This study aimed to demonstrate the usefulness of our method. Phantom and clinical studies were performed. In the phantom study, dynamic images of a moving lead sphere were acquired using DCR, and the motion of the phantom was tracked using Kinovea in a DCR video. The amplitude of phantom motion was measured and compared with a predetermined baseline amplitude. In a clinical study, DCR and respiratory-gated four-dimensional computed tomography (4D-CT) were performed on 15 patients who underwent stereotactic body radiation therapy for lung tumors. The amplitudes of tumor motion in DCR and 4D-CT were measured in the superior-inferior (SI), left-right (LR), and anterior-posterior (AP) directions, and the square root of the sum of squares (SRSS) of the amplitude was calculated in all directions. Spearman's rank correlation and the Wilcoxon signed-rank test were performed to determine the correlations of the amplitudes of tumor motion obtained using DCR and 4D-CT. In the phantom study, the absolute mean error between the measured and predetermined amplitudes was 0.60 mm (range: 0.061.53 mm). In the clinical study, the amplitudes of tumor motion obtained using DCR correlated significantly with those of 4D-CT in the SI and LR directions, as did the SRSS values. The median amplitudes for DCR were significantly higher than those for 4D-CT in all (SI, LR, and AP) directions, as were the SRSS values. Our proposed method based on DCR and Kinovea is useful for assessing lung tumor motion, visually and quantitatively. Therefore, DCR has potential as a new modality for evaluating lung tumor motion in radiotherapy.

Indexed as

Lung NeoplasmsRadiosurgeryFour-Dimensional Computed TomographyHumansMotionPhantoms, Imagingdynamic chest radiographyKinovealung tumormotion assessmentstereotactic body radiation therapy

Identifiers

PMID35930373
PMCPMC9588259
OpenAlexW4289947690

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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.