Evidence map›Paper›PMID 39204935›Full record

SynthesisSensors (Basel, Switzerland)2024

Automatic Path-Planning Techniques for Minimally Invasive Stereotactic Neurosurgical Procedures-A Systematic Review.

Reza Monfaredi, Alondra Concepcion-Gonzalez, Jose Acosta Julbe, Elizabeth Fischer, Gabriel Hernandez-Herrera, Kevin Cleary, Chima Oluigbo

Abstract readSystematic Review
In one paragraph

Synthesis in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

7 authors.

Reza MonfarediSheikh Zayed Institute of Pediatrics Surgical Innovation, Children's National Hospital, Washington, DC 20010, USA.
Alondra Concepcion-GonzalezSchool of Medicine and Health Sciences, George Washington University School of Medicine, Washington, DC 20052, USA.
Jose Acosta JulbeDepartment of Orthopaedic Surgery & Orthopaedic and Arthritis Center for Outcomes Research, Brigham and Women's Hospital, Boston, MA 02115, USA.
Elizabeth FischerSheikh Zayed Institute of Pediatrics Surgical Innovation, Children's National Hospital, Washington, DC 20010, USA.
Gabriel Hernandez-HerreraMayo Clinic, College of Medicine and Science, Rochester, MN 55905, USA.
Kevin ClearySheikh Zayed Institute of Pediatrics Surgical Innovation, Children's National Hospital, Washington, DC 20010, USA.
Chima OluigboSheikh Zayed Institute of Pediatrics Surgical Innovation, Children's National Hospital, Washington, DC 20010, USA.

Funding

MRI-Compatible Robot for Real-Time Image-Guided Stereotactic Neurosurgical Procedures: A Novel Platform TechnologyR01EB031084 · NIBIB · CHILDREN'S RESEARCH INSTITUTE · PI MONFAREDI, REZA · 2021 to 2024
$2.0M
NIBIB NIH HHS R01 EB031084
6 · The paper itself

Abstract

This review systematically examines the recent research from the past decade on diverse path-planning algorithms tailored for stereotactic neurosurgery applications. Our comprehensive investigation involved a thorough search of scholarly papers from Google Scholar, PubMed, IEEE Xplore, and Scopus, utilizing stringent inclusion and exclusion criteria. The screening and selection process was meticulously conducted by a multidisciplinary team comprising three medical students, robotic experts with specialized knowledge in path-planning techniques and medical robotics, and a board-certified neurosurgeon. Each selected paper was reviewed in detail, and the findings were synthesized and reported in this review. The paper is organized around three different types of intervention tools: straight needles, steerable needles, and concentric tube robots. We provide an in-depth analysis of various path-planning algorithms applicable to both single and multi-target scenarios. Multi-target planning techniques are only discussed for straight tools as there is no published work on multi-target planning for steerable needles and concentric tube robots. Additionally, we discuss the imaging modalities employed, the critical anatomical structures considered during path planning, and the current status of research regarding its translation to clinical human studies. To the best of our knowledge and as a conclusion from this systematic review, this is the first review paper published in the last decade that reports various path-planning techniques for different types of tools for minimally invasive neurosurgical applications. Furthermore, this review outlines future trends and identifies existing technology gaps within the field. By highlighting these aspects, we aim to provide a comprehensive overview that can guide future research and development in path planning for stereotactic neurosurgery, ultimately contributing to the advancement of safer and more effective neurosurgical procedures.

Indexed as

AlgorithmsMinimally Invasive Surgical ProceduresNeurosurgical ProceduresStereotaxic TechniquesHumansRobotic Surgical ProceduresSurgery, Computer-Assistedautomaticbrainneurosurgerypathplanningtrajectory

Identifiers

PMID39204935
PMCPMC11359713

What OpenQuestion holds

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LicenceCC BY
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.