Evidence map›Paper›PMID 39402595›Full record

ArticleRadiation oncology (London, England)2024

Impact of contrast-enhanced CT in the dosimetry of SBRT for liver metastases treated with MR-Linac.

Min Liu, Mingzhe Liu, Feng Yang, Yanhua Liu, Shoulong Wang, Yazhen Chen, Jie Li, Xianliang Wang, Lucia Clara Orlandini

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Radiation oncology (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Min LiuCollege of Computer Science and Cyber Security, Chengdu University of Technology, Chengdu, China.
Mingzhe LiuCollege of Computer Science and Cyber Security, Chengdu University of Technology, Chengdu, China. liumz@cdut.edu.cn.ORCID https://orcid.org/0000-0001-7054-997X
Feng YangDepartment of Radiation Oncology, Sichuan Cancer Hospital & Institute, Affiliated Cancer Hospital of University and Electronic Science and Technology of China, Chengdu, China.ORCID https://orcid.org/0009-0004-7334-7109
Yanhua LiuCollege of Computer Science and Cyber Security, Chengdu University of Technology, Chengdu, China.
Shoulong WangDepartment of Radiation Oncology, Sichuan Cancer Hospital & Institute, Affiliated Cancer Hospital of University and Electronic Science and Technology of China, Chengdu, China.
Yazhen ChenDepartment of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu, China.
Jie LiDepartment of Radiation Oncology, Sichuan Cancer Hospital & Institute, Affiliated Cancer Hospital of University and Electronic Science and Technology of China, Chengdu, China.
Xianliang WangDepartment of Radiation Oncology, Sichuan Cancer Hospital & Institute, Affiliated Cancer Hospital of University and Electronic Science and Technology of China, Chengdu, China.
Lucia Clara OrlandiniDepartment of Radiation Oncology, Sichuan Cancer Hospital & Institute, Affiliated Cancer Hospital of University and Electronic Science and Technology of China, Chengdu, China.

Funding

Natural Science Foundation of Sichuan Province 2023NSFSC0711Natural Science Foundation of Sichuan Province 2023NSFSC2088
6 · The paper itself

Abstract

backgroundTo investigate the impact of using contrast-enhanced computed tomography (CHCT) in the dosimetry of stereotactic body radiation therapy (SBRT) for liver metastases treated with MR-Linac.

methodsA retrospective study was conducted on 21 liver cancer patients treated with SBRT (50 Gy in 5 fractions) using a 1.5 Tesla Unity MR-Linac. The clinical treatment plans optimised on plain computed tomography (pCT) were used as reference. The electronic density (ED) of regions of interest (ROIs) including the liver, duodenum, esophagus, spinal cord, heart, ribs, and lungs, from pCT and CHCT, was analysed. The average ED of each ROI from CHCT was used to generate synthetic CT (sCT) images by assigning the average ED value from the CHCT to the pCT. Clinical plans were recalculated on sCT images. Dosimetric comparisons between the original treatment plan (TP

resultsSignificant ED differences (p < 0.05) were observed in the liver, great vessels, heart, lungs, and spinal cord between CHCT and pCT, with the lungs showing the largest differences (average deviation of 11.73% and 12.15% for the left and right lung, respectively). The target volume covered by the prescribed dose (V

conclusionThe findings suggest that the use of CHCT in the SBRT workflow for liver metastases may result in minor target volume overdosage, indicating its potential for adoption in clinical settings. However, its use should be further explored in a broader context and tied to personalized treatment approaches.

Indexed as

Contrast MediaLiver NeoplasmsRadiosurgeryRadiotherapy DosageRadiotherapy Planning, Computer-AssistedTomography, X-Ray ComputedAdultAgedAged, 80 and overFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedOrgans at RiskRadiometryContrast MediaContrast mediaLiver cancerMR guided adaptive radiotherapyMR-LinacSBRTSynthetic CT

Identifiers

PMID39402595
PMCPMC11475857

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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.