Evidence map›Paper›PMID 42287345›Full record

ArticleJapanese journal of radiology2026

A novel robot for CT-guided bone needle insertion with a rotational drilling and force-feedback speed control mechanism: preliminary evaluation in swine.

Yusuke Matsui, Takao Hiraki, Yuta Kimura, Takanori Sasaki, Ryutaro Matsuura, Koji Tomita, Noriyuki Umakoshi, Soichiro Okamoto, Kazuaki Munetomo, Fumiyo Higaki and 6 more

Abstract read
In one paragraph

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

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

16 authors.

Yusuke MatsuiDepartment of Radiology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan. y-matsui@okayama-u.ac.jp.ORCID http://orcid.org/0000-0001-7548-7886
Takao HirakiDepartment of Radiology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan.
Yuta KimuraDepartment of Radiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, 2-5-1 Shikata-Cho, Kita-Ku, Okayama, 700-8558, Japan.
Takanori SasakiCollaborative Research Center for OMIC, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University, Okayama, Japan.
Ryutaro MatsuuraDepartment of Radiological Technology, Faculty of Health Sciences, Okayama University, Okayama, Japan.
Koji TomitaDepartment of Radiology, Medical Development Field, Okayama University, Okayama, Japan.
Noriyuki UmakoshiDepartment of Radiology, Medical Development Field, Okayama University, Okayama, Japan.
Soichiro OkamotoDepartment of Radiology, Medical Development Field, Okayama University, Okayama, Japan.
Kazuaki MunetomoDepartment of Radiology, Medical Development Field, Okayama University, Okayama, Japan.
Fumiyo HigakiDepartment of Radiology, Medical Development Field, Okayama University, Okayama, Japan.
Jun SakuraiCenter for Innovative Clinical Medicine, Okayama University Hospital, Okayama, Japan.
Toshihiro IguchiDepartment of Radiological Technology, Faculty of Health Sciences, Okayama University, Okayama, Japan.
Atsushi NakazawaFaculty of Interdisciplinary Science and Engineering in Health Systems, Okayama University, Okayama, Japan.
Kiyoshi MatsumiyaDepartment of Medical Technology, Faculty of Life Science, Okayama University of Science, Okayama, Japan.
Takayuki MatsunoFaculty of Environmental, Life, Natural Science and Technology, Okayama University, Okayama, Japan.
Tetsushi KamegawaFaculty of Environmental, Life, Natural Science and Technology, Okayama University, Okayama, Japan.

Funding

Japan Society for the Promotion of Science 23K24289Promotion of Science and Technology, Okayama Prefecture Promotion of Science and Technology, Okayama Prefecture
6 · The paper itself

Abstract

purposeTo evaluate the feasibility and accuracy of computed tomography (CT)-guided needle insertion into swine bones by using a novel robotic system capable of rotational drilling. MATERIALS AND

methodsThis was an animal experiment using three swine. A remote-controlled robot equipped with a rotational drilling and force-feedback insertion speed control mechanism was developed for bone needle insertion. Using the robot, CT-guided insertion of a 10-gauge bone access needle was attempted in the lumbar vertebrae, ilia, and femora six times each. Needle insertion accuracy was evaluated using the angle error, which is defined as the difference between the predetermined and post-insertion needle angles on axial and sagittal CT images. The time required for needle insertion was measured. The angle error and time required for needle insertion were compared among the bones using the Kruskal-Wallis test. Adverse events were also evaluated.

resultsRobotic bone needle insertion was successful in all attempts. The median axial and sagittal angle errors were 0.21 and 0.21° for the lumbar vertebrae, 0.32 and 0.13° for the ilia, and 0.65 and 0.25° for the femora, respectively. Axial angle errors were significantly different among the bone types (p = 0.038). The time required for needle insertion was 23.6, 21.3, and 59.7 s for the lumbar vertebrae, ilia, and femora, respectively. Time was significantly different among bone types (p = 0.017). No adverse events were observed.

conclusionCT-guided bone needle insertion using a robot equipped with a rotational drilling and force-feedback insertion speed control mechanism was feasible and accurate in swine.

Indexed as

NeedlesRadiography, InterventionalRoboticsRobotic Surgical ProceduresTomography, X-Ray ComputedAnimalsFeasibility StudiesLumbar VertebraeSwineBoneCT-guidedInterventionNeedleRobot

Identifiers

PMID42287345
PMCPMC13624013

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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.