Evidence map›Paper›PMID 29609631›Full record

ArticleRadiation oncology (London, England)2018

Quantitative analysis of respiration-induced motion of each liver segment with helical computed tomography and 4-dimensional computed tomography.

Yu-Lun Tsai, Ching-Jung Wu, Suzun Shaw, Pei-Chieh Yu, Hsin-Hua Nien, Louis Tak Lui

Open access · goldAbstract read
In one paragraph

Article in Radiation oncology (London, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.4field-weighted citation impact, top 6% 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

15 citing papers in PubMed, 50 citations in OpenAlex.

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  8. Radioembolization Dosimetry with Total-BodyJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2022
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  14. Designing and validating a PVA liver phantom with respiratory motion for needle-based interventions.International journal of computer assisted radiology and surgery · 2019
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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 1 institution in 1 country.

Yu-Lun TsaiDepartment of Radiation Oncology, Cathay General Hospital, Taipei, Taiwan.
Ching-Jung WuDepartment of Radiation Oncology, Cathay General Hospital, Taipei, Taiwan.
Suzun ShawDepartment of Radiation Oncology, Cathay General Hospital, Taipei, Taiwan.
Pei-Chieh YuDepartment of Radiation Oncology, Cathay General Hospital, Taipei, Taiwan.
Hsin-Hua NienDepartment of Radiation Oncology, Cathay General Hospital, Taipei, Taiwan.
Louis Tak LuiDepartment of Radiation Oncology, Cathay General Hospital, Taipei, Taiwan. louistlui@yahoo.com.
Cathay General Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo analyze the respiratory-induced motion of each liver segment using helical computed tomography (helical CT) and 4-dimensional computed tomography (4DCT), and to establish the individual segment expansion margin of internal target volume (ITV) to facilitate target delineation of tumors in different liver segments.

methodsTwenty patients who received radiotherapy with CT-simulation scanning of the whole liver in both helical CT and 10-phase-gated 4DCT were investigated, including 2 patients with esophagus cancer, 4 with lung cancer, 10 with breast cancer, 2 with liver cancer, 1 with thymoma, and 1 with gastric diffuse large B-cell lymphoma (DLBCL). For each patient, 9 representative points were drawn on the helical CT images of liver segments 1, 2, 3, 4a, 4b, 5, 6, 7, and 8, respectively, and adaptively deformed to 2 phases of the 4DCT images at the end of inspiration (phase 0 CT) and expiration (phase 50 CT) in the treatment planning system. Using the amplitude of each point between phase 0 CT and phase 50 CT, we established quantitative data for the respiration-induced motion of each liver segment in 3-dimensional directions. Moreover, using the amplitude between the original helical CT and both 4DCT images, we rendered the individual segment expansion margin of ITV for hepatic target delineation to cover more than 95% of each tumor.

resultsThe average amplitude (mean ± standard deviation) was 0.6 ± 3.0 mm in the left-right (LR) direction, 2.3 ± 2.4 mm in the anterior-posterior (AP) direction, and 5.7 ± 3.4 mm in the superior-inferior (SI) direction, respectively. All of the segments moved posteriorly and superiorly during expiration. Segment 7 had the largest amplitude in the SI direction, at 8.6 ± 3.4 mm. Otherwise, the segments over the lateral side, including segments 2, 3, 6, and 7, had greater excursion in the SI direction compared to the medial segments. To cover more than 95% of each tumor, the required expansion margin of ITV in the LR, AP, and SI directions were at least 2.5 mm, 2.5 mm, and 5.0 mm on average, respectively, with variations between different segments.

conclusionsThe greatest excursion occurred in liver segment 7, followed by the segments over the lateral side in the SI direction. The individual segment expansion margin of ITV is required to delineate targets for each segment and direction.

Indexed as

ArtifactsAdultAgedAged, 80 and overFemaleFour-Dimensional Computed TomographyHumansImage Interpretation, Computer-AssistedLiver NeoplasmsMaleMiddle AgedMotionRadiotherapy Planning, Computer-AssistedRespirationTomography, Spiral Computed4-dimensional computed tomographyDeformable image registrationLiver segmentRespiration-induced motion

Identifiers

PMID29609631
PMCPMC5879734
OpenAlexW2802671533

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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.