Evidence map›Paper›PMID 30843613›Full record

ArticleThe Laryngoscope2019

Auricle shaping using 3D printing and autologous diced cartilage.

Junlin Liao, Yong Chen, Jia Chen, Bin He, Li Qian, Jiaqin Xu, Aijun Wang, Qingfeng Li, Hongju Xie, Jianda Zhou

Open access · hybridAbstract read
In one paragraph

Article in The Laryngoscope, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Auricular reconstruction: where are we now? A critical literature review.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2022
    Review
  8. Article
  9. Article
  10. 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

10 authors at 4 institutions in 2 countries.

Junlin LiaoDepartments of Medical Cosmetology, The First Affiliated Hospital, University of South China, Hengyang.ORCID 0000-0001-9458-9466
Yong ChenDepartments of Plastic and Reconstructive Surgery, The Third Xiangya Hospital, Central South University, Changsha.
Jia ChenDepartments of Plastic and Reconstructive Surgery, The Third Xiangya Hospital, Central South University, Changsha.
Bin HeDepartments of Plastic and Reconstructive Surgery, The Third Xiangya Hospital, Central South University, Changsha.
Li QianDepartments of Burn and Plastic Surgery, The Second Xiangya Hospital, Central South University, Changsha.
Jiaqin XuDepartments of Plastic and Reconstructive Surgery, The Third Xiangya Hospital, Central South University, Changsha.
Aijun WangDepartment of Surgery, Davis Health System, University of California, Sacramento, California, U.S.A.
Qingfeng LiDepartment of Plastic and Reconstructive Surgery, Shanghai Jiaotong University Medical School, Ninth People's Hospital, Shanghai, People's Republic of China.
Hongju XieDepartments of Medical Cosmetology, The First Affiliated Hospital, University of South China, Hengyang.
Jianda ZhouDepartments of Plastic and Reconstructive Surgery, The Third Xiangya Hospital, Central South University, Changsha.
Central South University · CNFirst Affiliated Hospital of University of South China · CNShanghai Ninth People's Hospital · CNUC Davis Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo reconstruct the auricle using a porous, hollow, three-dimensional (3D)-printed mold and autologous diced cartilage mixed with platelet-rich plasma (PRP).

methodsMaterialise Magics v20.03 was used to design a 3D, porous, hollow auricle mold. Ten molds were printed by selective laser sintering with polyamide. Cartilage grafts were harvested from one ear of a New Zealand rabbit, and PRP was prepared using 10 mL of auricular blood from the same animal. Ear cartilage was diced into 0.5- to 2.0-mm pieces, weighed, mixed with PRP, and then placed inside the hollow mold. Composite grafts were then implanted into the backs of respective rabbits (n = 10) for 4 months. The shape and composition of the diced cartilage were assessed histologically, and biomechanical testing was used to determine stiffness.

resultsThe 3D-printed auricle molds were 0.6-mm thick and showed connectivity between the internal and external surfaces, with round pores of 0.1 to 0.3 cm. After 4 months, the diced cartilage pieces had fused into an auricular shape with high fidelity to the anthropotomy. The weight of the diced cartilage was 5.157 ± 0.230 g (P > 0.05, compared with preoperative). Histological staining showed high chondrocyte viability and the production of collagen II, glycosaminoglycans, and other cartilaginous matrix components. In unrestricted compression tests, auricle stiffness was 0.158 ± 0.187 N/mm, similar to that in humans.

conclusionAuricle grafts were constructed successfully through packing a 3D-printed, porous, hollow auricle mold with diced cartilage mixed with PRP. The auricle cartilage contained viable chondrocytes, appropriate extracellular matrix components, and good mechanical properties. LEVELS OF EVIDENCE: NA. Laryngoscope, 129:2467-2474, 2019.

Indexed as

Computer-Aided DesignPrinting, Three-DimensionalAnimalsEar AuricleEar CartilageModels, AnimalPlastic Surgery ProceduresPlatelet-Rich PlasmaRabbits3D printingauricle. reconstructionDiced cartilageplatelet-rich plasmaporous hollow mold

Identifiers

PMID30843613
PMCPMC6850318
OpenAlexW2920930035

What OpenQuestion holds

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LicenceCC BY-NC
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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.