Evidence map›Paper›PMID 42147256›Full record

ArticleFrontiers in oncology2026

Assessment of the mechanical performance of a novel CT-linac treatment couch.

Linyi Shen, Mengyang Li, Guiyuan Li, Hualin Wang, Jialin Ding, Yunxiang Wang, Xuejie Xie, Siqi Yuan, Yujie Kang, Junfeng Qi and 4 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Linyi ShenNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Mengyang LiNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Guiyuan LiNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Hualin WangNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Jialin DingNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yunxiang WangNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xuejie XieNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Siqi YuanNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yujie KangNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Junfeng QiNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xinyuan ChenNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Shouping XuNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Jianrong DaiNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yuan TianNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aims to systematically evaluate the mechanical performance of the novel treatment couch for the uLinac VisionaryTx CT-Linac (United Imaging Healthcare, China). Materials and methods: Quality assurance protocols were developed by integrating AAPM TG-142 and TG-66 guidelines. The following key parameters were assessed: (1) couch top movement accuracy, including translational/rotational precision and perpendicularity to the CT imaging plane; (2) couch top rigidity under varying loads (0-135 kg) and extensions; (3) couch base movement accuracy, covering longitudinal travel reproducibility and rotational homing; (4) efficacy of the laser rangefinder-based sag correction and the stability of the rangefinder itself; and (5) comprehensive end-to-end evaluation of IGRT workflows to determine the overall impact of couch mechanical performance on delivery accuracy. All tests were conducted under clinically representative loaded conditions. Results: The couch top demonstrated high accuracy in translational movement (≤ 0.5 mm), rotation (< 0.12°), and perpendicularity relative to the CT imaging plane. Under maximum load, the couch top showed a sag of 4.1 mm, demonstrating superior rigidity to a dedicated CT simulator while being slightly less rigid than conventional linac couches. The couch base achieved precise longitudinal movement (≤ 1 mm) and rotational homing accuracy (< 0.1°). The laser rangefinder-based correction method achieved good agreement between calculated and measured height variations (deviation < 0.6 mm) with excellent stability in both angular and distance measurements. End-to-end tests verified sub-millimeter (0.5 mm) and sub-degree (0.5°) accuracy for IGRT workflows across various loading conditions. Conclusion: The novel CT linac couch system (uLinac VisionaryTx) exhibits exceptional mechanical performance and fully satisfies the precision requirements for CT acquisition, image guidance, and setup error correction.

Indexed as

ct-linacIGRTmechanical performancequality assurancetreatment couch

Identifiers

PMID42147256
PMCPMC13175831

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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.