Evidence map›Paper›PMID 38580965›Full record

ArticleBMC oral health2024

Phantom study of a fully automatic radioactive seed placement robot for the treatment of skull base tumours.

Meng Fanhao, Xie Dongsheng, Jin Nenghao, Song Yu, Tian Huanyu, Qiao Bo, Liang Bofu, Zhang Ning, Chang Shimin, Gao Runtao and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC oral health, 2024. 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

12 authors.

Meng Fanhao *Department of Oral and Maxillofacial Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Xie Dongsheng *School of Medical Technology, Beijing Institute of Technology, Beijing, China.
Jin NenghaoDepartment of Stomatology, The First Medical Centre, Chinese PLA General Hospital, Beijing, China.
Song YuDepartment of Prosthodontics, Beijing Citident Stomatology Hospital, Beijing, China.
Tian HuanyuSchool of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China.
Qiao BoDepartment of Stomatology, The First Medical Centre, Chinese PLA General Hospital, Beijing, China.
Liang BofuClinical Engineering Department, Beijing Baihui Weikang Technology Co., Ltd, Beijing, China.
Zhang NingDepartment of Oral and Maxillofacial Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Chang ShiminDepartment of Oral and Maxillofacial Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Gao RuntaoDepartment of Oral and Maxillofacial Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Duan XingguangSchool of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China. duanstar@bit.edu.cn.
Zhang HaizhongDepartment of Stomatology, The First Medical Centre, Chinese PLA General Hospital, Beijing, China. zhanghaizhong@301hospital.com.cn.

Funding

National Key Research and Development Plan 2022YFC2405404National Natural Science Foundation of China 62073043
6 · The paper itself

Abstract

backgroundInterstitial brachytherapy is a form of intensive local irradiation that facilitates the effective protection of surrounding structures and the preservation of organ functions, resulting in a favourable therapeutic response. As surgical robots can perform needle placement with a high level of accuracy, our team developed a fully automatic radioactive seed placement robot, and this study aimed to evaluate the accuracy and feasibility of fully automatic radioactive seed placement for the treatment of tumours in the skull base.

methodsA fully automatic radioactive seed placement robot was established, and 4 phantoms of skull base tumours were built for experimental validation. All the phantoms were subjected to computed tomography (CT) scans. Then, the CT data were imported into the Remebot software to design the preoperative seed placement plan. After the phantoms were fixed in place, navigation registration of the Remebot was carried out, and the automatic seed placement device was controlled to complete the needle insertion and particle placement operations. After all of the seeds were implanted in the 4 phantoms, postoperative image scanning was performed, and the results were verified via image fusion.

resultsA total of 120 seeds were implanted in 4 phantoms. The average error of seed placement was (2.51 ± 1.44) mm.

conclusionThis study presents an innovative, fully automated radioactive particle implantation system utilizing the Remebot device, which can successfully complete automated localization, needle insertion, and radioactive particle implantation procedures for skull base tumours. The phantom experiments showed the robotic system to be reliable, stable, efficient and safe. However, further research on the needle-soft tissue interaction and deformation mechanism of needle puncture is still needed.

Indexed as

Dental ImplantsRoboticsSkull Base NeoplasmsHumansPhantoms, ImagingTomography, X-Ray ComputedDental ImplantsAutomated needle insertionAutomatic radioactive seed placementBrachytherapyRemebotRobotic-assisted surgerySkull base tumour

Identifiers

PMID38580965
PMCPMC10996177

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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.