Evidence map›Paper›PMID 41909099›Full record

ArticleIEEE transactions on medical robotics and bionics2026

Minimally Invasive Neurosurgical Robot for MRI-Guided Intratumoral Therapeutic Delivery.

Saeed Rezaeian, Hengjie Chen, Chandan Sidhu, Brenda Bartnik-Olson, Behnam Badie, Jun Sheng

Abstract read
In one paragraph

Article in IEEE transactions on medical robotics and bionics, 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

6 authors.

Saeed RezaeianDepartment of Mechanical Engineering, University of California Riverside, Riverside, CA 92521 USA.
Hengjie ChenDepartment of Electrical Engineering, University of California Riverside, Riverside, CA 92521 USA.
Chandan SidhuDepartment of Mechanical Engineering, University of California Riverside, Riverside, CA 92521 USA.
Brenda Bartnik-OlsonDepartment of Radiology, Loma Linda University, Loma Linda, CA 92354 USA.
Behnam BadieDivision of Neurosurgery, City of Hope National Medical Center, Duarte, CA 91010 USA.
Jun ShengDepartment of Mechanical Engineering, University of California Riverside, Riverside, CA 92521 USA.

Funding

Novel Neurosurgical Device for Evacuation of Intracerebral HematomaR01NS143100 · NINDS · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI Behnam Badie · 2025 to 2026
$1.1M
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 EB033896NINDS NIH HHS R01 NS143100
6 · The paper itself

Abstract

This paper presents the design, modeling, and feasibility study of a magnetic resonance (MR)-conditional steerable neurosurgical robot for minimally invasive intratumoral delivery of therapeutic agents. Immunotherapy is an emerging brain tumor treatment technique but faces challenges due to low trafficking with systemic infusions, particularly in the case of large tumors. To address this limitation, we have developed a novel robotic system capable of delivering therapeutic agents throughout the entire volume of the brain tumor. The robot consists of a straight, rigid outer tube and a flexible inner tube that can navigate along curved paths and articulate in 3D space. A custom-designed injection mechanism consisting of syringes and hydraulic transmission is integrated into the robotic system. A non-magnetic actuation system enables robot navigation to various locations within the tumor. Therefore, by delivering therapeutic agents to individual target locations, the overall trafficking and efficiency can be potentially improved. Characterization-based control experiments yielded a curvature control error of 2.6 ± 1.8% and a relative tip tracking error of 4.2 ± 3.9%, demonstrating the high accuracy of our control strategy. A phantom study demonstrated a significant improvement of the tumor coverage ratio made by the robotic needle compared to the straight needle (73% vs. 29%). An MRI-guided manipulation study showed an acceptable decrease in the signal-to-noise ratio (up to 1.41%) when the robot is manipulated in the water phantom. All these studies synergistically validated the feasibility of our new approach of robotically steerable, MRI-guided therapeutic delivery.

Indexed as

immunotherapyMRIneedle robotNeurosurgical robotsteerable robottherapeutic delivery

Identifiers

PMID41909099
PMCPMC13026081

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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.