Evidence map›Paper›PMID 40822116›Full record

ArticleIEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society2024

CRANE: A Redundant, Multi-Degree-of-Freedom Computed Tomography Robot for Heightened Needle Dexterity within a Medical Imaging Bore.

Dimitrious Schreiber, Zhaowei Yu, Taylor Henderson, Derek Chen, Alexander Norbash, Michael C Yip

Abstract read
In one paragraph

Article in IEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society, 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. Review
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.

Dimitrious SchreiberDepartment of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA 92093 USA.
Zhaowei YuDepartment of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA 92093 USA.
Taylor HendersonDepartment of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA 92093 USA.
Derek ChenDepartment of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA 92093 USA.
Alexander NorbashDepartment of Radiology, University of California San Diego, La Jolla, CA 92093 USA.
Michael C YipDepartment of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA 92093 USA.

Funding

Automated Planning and Robotic Delivery of Needle Biopsies under CT Image GuidanceR01CA278703 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Michael Yip · 2023 to 2026
$2.4M
NCI NIH HHS R01 CA278703
6 · The paper itself

Abstract

Computed Tomography (CT) image guidance enables accurate and safe minimally invasive treatment of diseases, including cancer and chronic pain, with needle-like tools via a percutaneous approach. The physician incrementally inserts and adjusts the needle with intermediate images due to the accuracy limitation of free-hand adjustment and patient physiological motion. Scanning frequency is limited to minimize ionizing radiation exposure for the patient and physician. Robots can provide high positional accuracy and compensate for physiological motion with fewer scans. To accomplish this, the robots must operate within the confined imaging bore while retaining sufficient dexterity to insert and manipulate the needle. This paper presents CRANE: CT Robotic Arm and Needle Emplacer, a CT-compatible robot with a design focused on system dexterity that enables physicians to manipulate and insert needles within the scanner bore as naturally as they would be able to by hand. We define abstract and measurable clinically motivated metrics for in-bore dexterity applicable to general-purpose intra-bore image-guided needle placement robots, develop an automatic robot planning and control method for intra-bore needle manipulation and device setup, and demonstrate the redundant linkage design provides dexterity across various human morphology and meets the clinical requirements for target accuracy during an in-situ evaluation.

Indexed as

CT guided robotsdexterous robotsImage guided robotsimage guided surgeryinterventional radiology (IR)medical robotsrobot controlrobotic ablationrobotic biopsyworkspace analysis

Identifiers

PMID40822116
PMCPMC12355934

What OpenQuestion holds

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Registered trials

None linked

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.