Evidence map›Paper›PMID 38206784›Full record

ArticleIEEE transactions on bio-medical engineering2024

A Biomechanics-Aware Robot-Assisted Steerable Drilling Framework for Minimally Invasive Spinal Fixation Procedures.

Susheela Sharma, Yuewan Sun, Jeff Bonyun, Mohsen Khadem, Jordan Amadio, Amir Hossein Eskandari, Farshid Alambeigi

Open access · greenAbstract read
In one paragraph

Article in IEEE transactions on bio-medical engineering, 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
5.7field-weighted citation impact, top 4% of its field
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, 10 citations in OpenAlex.

  1. Article
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

7 authors at 3 institutions in 3 countries.

Susheela Sharma
Yuewan Sun
Jeff Bonyun
Mohsen Khadem
Jordan Amadio
Amir Hossein Eskandari
Farshid Alambeigi
Walker (United States) · USInstitut de recherche Robert-Sauvé en santé et en sécurité du travail · CAUniversity of Edinburgh · GB

Funding

A Neurosurgical Robotic System for Minimally Invasive Spinal Fusion of Osteoporotic Vertebrae Using Flexible Pedicle ScrewsR21EB030796 · NIBIB · UNIVERSITY OF TEXAS AT AUSTIN · PI ALAMBEIGI, FARSHID · 2021 to 2023
$607k
NIBIB NIH HHS R21 EB030796
6 · The paper itself

Abstract

In this paper, we propose a novel biomechanics-aware robot-assisted steerable drilling framework with the goal of addressing common complications of spinal fixation procedures occurring due to the rigidity of drilling instruments and implants. This framework is composed of two main unique modules to design a robotic system including (i) a Patient-Specific Biomechanics-aware Trajectory Selection Module used to analyze the stress and strain distribution along an implanted pedicle screw in a generic drilling trajectory (linear and/or curved) and obtain an optimal trajectory; and (ii) a complementary semi-autonomous robotic drilling module that consists of a novel Concentric Tube Steerable Drilling Robot (CT-SDR) integrated with a seven degree-of-freedom robotic manipulator. This semi-autonomous robot-assisted steerable drilling system follows a multi-step drilling procedure to accurately and reliably execute the optimal hybrid drilling trajectory (HDT) obtained by the Trajectory Selection Module. Performance of the proposed framework has been thoroughly analyzed on simulated bone materials by drilling various trajectories obtained from the finite element-based Selection Module using Quantitative Computed Tomography (QCT) scans of a real patient's vertebra.

Indexed as

Minimally Invasive Surgical ProceduresRobotic Surgical ProceduresBiomechanical PhenomenaEquipment DesignHumansPedicle ScrewsSpinal FusionSpine

Identifiers

PMID38206784
PMCPMC11168586
OpenAlexW4390755748

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.