Evidence map›Paper›PMID 32195230›Full record

ArticleFrontiers in bioengineering and biotechnology2020

Application of 3D Printed Models of Complex Hypertrophic Scars for Preoperative Evaluation and Surgical Planning.

Peng Liu, Zhicheng Hu, Shaobin Huang, Peng Wang, Yunxian Dong, Pu Cheng, Hailin Xu, Bing Tang, Jiayuan Zhu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 37% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Peng LiuDepartment of Burn Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Zhicheng HuDepartment of Burn Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Shaobin HuangDepartment of Burn Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Peng WangDepartment of Burn Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Yunxian DongDepartment of Burn Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Pu ChengDepartment of Burn Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Hailin XuDepartment of Burn Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Bing TangDepartment of Burn Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Jiayuan ZhuDepartment of Burn Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Sun Yat-sen University · CNThe First Affiliated Hospital, Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComplex hypertrophic scar is a condition that causes multiple joint contractures and deformities after trauma or burn injuries. Three-dimensional (3D) printing technology provides a new evaluation method for this condition. The objective of this study was to print individualized 3D models of complex hypertrophic scars and to assess the accuracy of these models.

methodsTwelve patients with complex hypertrophic scars were included in this study. Before surgery, each patient underwent a computed tomography (CT) scan to obtain cross-sectional information for 3D printing. Mimics software was used to process the CT data and create 3D printed models. The length, width, height, and volume measurements of the physical scars and 3D printed models were compared. Experienced surgeons used the 3D models to plan the operation and simulate the surgical procedure. The hypertrophic scar was completely removed for each patient and covered with skin autografts. The surgical time, bleeding, complications, and skin autograft take rate were recorded. All patients were followed up at 12 months. The surgeons, young doctors, medical students, and patients involved in the study completed questionnaires to assess the use of the 3D printed models.

resultsThe 3D models of the hypertrophic scars were printed successfully. The length, width, height, and volume measurements were significantly smaller for the 3D printed models than for the physical hypertrophic scars. Based on preoperative simulations with the 3D printed models, the surgeries were performed successfully and each hypertrophic scar was completely removed. The surgery time was shortened and the bleeding was decreased. On postoperative day 7, there were two cases of subcutaneous hemorrhage, one case of infection and one case of necrosis. On postoperative day 12, the average take rate of the skin autografts was 97.75%. At the 12-month follow-up, all patients were satisfied with the appearance and function.

conclusionAccurate 3D printed models can help surgeons plan and perform successful operations, help young doctors and medical students learn surgical methods, and enhance patient comprehension and confidence in their surgeons.

Indexed as

3D printed modelshypertrophic scarspreoperative evaluationsurgical planningwound scarring prevention

Identifiers

PMID32195230
PMCPMC7062670
OpenAlexW3009365712

What OpenQuestion holds

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LicenceCC BY
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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.