Evidence map›Paper›PMID 34207419›Full record

ArticleJournal of personalized medicine2021

A Personalized 3D-Printed Model for Obtaining Informed Consent Process for Thyroid Surgery: A Randomized Clinical Study Using a Deep Learning Approach with Mesh-Type 3D Modeling.

Jungirl Seok, Sungmin Yoon, Chang Hwan Ryu, Seok-Ki Kim, Junsun Ryu, Yuh-Seog Jung

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Early-Phase Clinical Trials of Bio-Artificial Organ Technology: A Systematic Review of Ethical Issues.Transplant international : official journal of the European Society for Organ Transplantation · 2022
    Pooled it
  2. [The application of three-dimensional visualization in the endoscopic thyroidectomy].Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery · 2023
    Trial
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. 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

6 authors.

Jungirl SeokNational Cancer Center, Department of Otorhinolaryngology-Head and Neck Surgery, Goyang-si 10408, Korea.ORCID 0000-0001-6473-6015
Sungmin YoonNational Cancer Center, Division of Convergence Technology, Goyang-si 10408, Korea.
Chang Hwan RyuNational Cancer Center, Department of Otorhinolaryngology-Head and Neck Surgery, Goyang-si 10408, Korea.
Seok-Ki KimNational Cancer Center, Department of Nuclear Medicine, Goyang-si 10408, Korea.
Junsun RyuNational Cancer Center, Department of Otorhinolaryngology-Head and Neck Surgery, Goyang-si 10408, Korea.
Yuh-Seog JungNational Cancer Center, Department of Otorhinolaryngology-Head and Neck Surgery, Goyang-si 10408, Korea.

Funding

National Cancer Center, Korea NCC2010241National Cancer Center, Korea NCC2031580-1
6 · The paper itself

Abstract

The aim of this study was to evaluate the usefulness of a personalized 3D-printed thyroid model that characterizes a patient's individual thyroid lesion. The randomized controlled prospective clinical trial (KCT0005069) was designed. Fifty-three of these patients undergoing thyroid surgery were randomly assigned to two groups: with or without a 3D-printed model of their thyroid lesion when obtaining informed consent. We used a U-Net-based deep learning architecture and a mesh-type 3D modeling technique to fabricate the personalized 3D model. The mean 3D printing time was 258.9 min, and the mean price for production was USD 4.23 for each patient. The size, location, and anatomical relationship of the tumor and thyroid gland could be effectively presented using the mesh-type 3D modeling technique. The group provided with personalized 3D-printed models showed significant improvement in all four categories (general knowledge, benefits and risks of surgery, and satisfaction; all

Indexed as

3D-printinganatomic modelinginformed consentpersonalized medicinethyroid cancerthyroidectomy

Identifiers

PMID34207419
PMCPMC8234549

What OpenQuestion holds

Textmetadata
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.