Evidence map›Paper›PMID 40688538›Full record

ArticleIEEE robotics and automation letters2025

Towards a Steerable Neurosurgical Robot for Debulking of Brain Mass Lesions.

Sarvesh Saini, Saeed Rezaeian, Arshia Akbari, Behnam Badie, Jun Sheng

Abstract read
In one paragraph

Article in IEEE robotics and automation letters, 2025. 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

5 authors.

Sarvesh SainiDepartment of Computer Science, University of Miami, Coral Gables, FL 33143 USA; School of Advanced Engineering, UPES, Dehradun, Uttarakhand 248007 India.
Saeed RezaeianDepartment of Mechanical Engineering, University of California Riverside, Riverside, CA 92521, USA.
Arshia AkbariDepartment of Mechanical Engineering, University of California Riverside, Riverside, CA 92521, USA.
Behnam BadieCity of Hope National Medical Center, Duarte, CA 91010 USA.
Jun ShengDepartment of Mechanical Engineering, University of California Riverside, Riverside, CA 92521, USA.

Funding

Steerable Laser Interstitial Thermotherapy (SLIT) Robot for Brain Tumor TherapyR21EB033896 · NIBIB · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI SHENG, JUN · 2023 to 2025
$637k
NIBIB NIH HHS R21 EB033896
6 · The paper itself

Abstract

Minimally invasive surgery is regarded as a safer approach than open craniotomy to removing deep intracerebral mass lesions such as hematomas. It is usually performed by introducing a straight suction tool, sometimes combined with accessories for tissue debridement and irrigation, into the brain. Since collateral trauma to healthy tissue is proportional to the diameter of the tools, slender tools with small diameters are desired. However, current minimally invasive tools are inadequate for removal of large, multi-focal, and fibrous mass lesions. In this work, we present a new robotic surgical device for removing intracerebral mass lesions. The device consists of four concentric tubes. From outermost to innermost, they include a straight rigid stainless steel tube, a precurved superelastic nitinol tube with asymmetric notches, a braid-reinforced composite tube with tissue cutting holes at the tip, and a suction tube connected with a suction machine. A Pebax sleeve covers the notched area of the outer tube except the two most distal notches. By rotating and translating the notched nitinol tube, the robot tip can be manipulated inside a mass lesion. By concurrently rotating the cutting tube and applying negative pressure, tissues can be cut and removed through the suction tube. In this paper, we present our design and fabrication of this robotic device, kinematic modeling of the robot in terms of the rotation and translation of the notched tube and rotation of the cutting tube, and the results of feasibility studies show 540% improvement of mass lesion removal efficiency.

Indexed as

brain mass lesionsconcentric tube robotdebulkingNeurosurgical robotsteerable robot

Identifiers

PMID40688538
PMCPMC12273799

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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.