Evidence map›Paper›PMID 39108945›Full record

ArticleLaryngoscope investigative otolaryngology2024

3D-printed neck phantoms with detailed anatomy for ultrasound-guided procedure and device testing.

Aida M Hasson, Rahul D Patel, Cheick A Sissoko, Laura Brattain, Gregory R Dion

Abstract read
In one paragraph

Article in Laryngoscope investigative otolaryngology, 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. Article
  2. Characterization of soft tissue-mimicking materials for ultrasound training phantoms.Journal of materials science. Materials in medicine · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. 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

5 authors.

Aida M HassonDepartment of Otolaryngology-Head & Neck Surgery University of Cincinnati College of Medicine Cincinnati Ohio USA.
Rahul D PatelDepartment of Otolaryngology-Head & Neck Surgery University of Cincinnati College of Medicine Cincinnati Ohio USA.
Cheick A SissokoDepartment of Otolaryngology-Head & Neck Surgery University of Cincinnati College of Medicine Cincinnati Ohio USA.
Laura BrattainUniversity of Central Florida College of Medicine Orlando Florida USA.
Gregory R DionDepartment of Otolaryngology-Head & Neck Surgery University of Cincinnati College of Medicine Cincinnati Ohio USA.ORCID https://orcid.org/0000-0003-4389-3104

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: With rapid advances in ultrasound-guided procedures, there is an unmet need for echogenic phantoms with sufficient anatomical details for artificial intelligence and ultrasound-guided device testing. We developed a method for creating neck phantoms for novel otolaryngology-related device testing. To achieve accurate representation of the anatomy, we utilized CT scans and 3D printing technology to create customized agar molds, thus providing high-fidelity yet cost-effective tools. Methods: Based on previous studies, the key components in our neck phantom include the cervical vertebrae, trachea, common carotid arteries, internal jugular veins, thyroid gland, and surrounding soft tissue. Open-source image analysis software were employed to process CT data to generate high fidelity 3D models of the target structures. Resin molds were 3D printed and filled with various agar mixtures to mimic anatomical echogenicity. Results: Following the method proposed, we successfully assembled the neck phantom which provided a detailed representation of the target structures. To evaluate the results, ultrasound data was collected on the phantom and living tissue and analyzed with ImageJ. We were able to demonstrate echogenicity comparable to that of living tissue. Conclusion: The proposed method for building neck phantoms with detailed anatomical features offers a valuable, detailed, low-cost tool for medical training and device testing in otolaryngology, particularly for novel devices that involve artificial intelligence (AI) guidance and robotic-based needle insertion. Additional anatomical refinements and validation studies could further enhance the consistency and accuracy, thus paving the way for future advancements in ultrasound training and research, and ultimately benefiting patient care and safety.

Indexed as

3D printingagaranatomical phantomcervical vertebraedevice testingechogenicitymedical educationmedical simulationneck phantomsodium alginatethyroid glandultrasound

Identifiers

PMID39108945
PMCPMC11301450

What OpenQuestion holds

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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.