Evidence map›Paper›PMID 32537512›Full record

ArticleScience advances2020

Noninvasive in vivo 3D bioprinting.

Yuwen Chen, Jiumeng Zhang, Xuan Liu, Shuai Wang, Jie Tao, Yulan Huang, Wenbi Wu, Yang Li, Kai Zhou, Xiawei Wei and 6 more

Abstract read
In one paragraph

Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 117 papers.

0numbers the graph read from it
0cells of the map it votes in
117citing 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

117 citing papers in PubMed.

  1. Article
  2. Article
  3. Fundamental research · 2026
    Review
  4. Review
  5. Tissue-bioelectronics interfaces.Chemical Society reviews · 2026
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Acoustic printing of conductive polymers.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  13. A Pill That Prints-An Ingestible Bioprinter for Non-Invasive Structured Bioink Deposition.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  14. Article
  15. Review
  16. Review
  17. Review
  18. Article
  19. Review
  20. Article

57 more citing papers are in PubMed but not listed here.

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

16 authors.

Yuwen ChenState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, P. R. China.ORCID 0000-0001-7763-0949
Jiumeng ZhangState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, P. R. China.ORCID 0000-0001-8775-6510
Xuan LiuState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, P. R. China.ORCID 0000-0002-9226-6134
Shuai WangState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, P. R. China.ORCID 0000-0002-6568-0700
Jie TaoState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, P. R. China.
Yulan HuangState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, P. R. China.
Wenbi WuState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, P. R. China.
Yang LiState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, P. R. China.
Kai ZhouState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, P. R. China.ORCID 0000-0002-9241-2592
Xiawei WeiState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, P. R. China.ORCID 0000-0002-6513-6422
Shaochen ChenDepartment of Nanoengineering, University of California San Diego, San Diego, CA, USA.
Xiang LiDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu 610041, P. R. China.ORCID 0000-0001-5322-361X
Xuewen XuDepartment of Aesthetic Plastic and Burn Surgery, West China Hospital, Sichuan University, Chengdu 610041, P. R. China.
Ludwig CardonCentre for Polymer and Material Technologies, Department of Materials, Textiles and Chemical Engineering, Ghent University, Ghent 9052, Belgium.
Zhiyong QianState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, P. R. China.
Maling GouState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, P. R. China.ORCID 0000-0003-0431-0340

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three-dimensional (3D) printing technology has great potential in advancing clinical medicine. Currently, the in vivo application strategies for 3D-printed macroscale products are limited to surgical implantation or in situ 3D printing at the exposed trauma, both requiring exposure of the application site. Here, we show a digital near-infrared (NIR) photopolymerization (DNP)-based 3D printing technology that enables the noninvasive in vivo 3D bioprinting of tissue constructs. In this technology, the NIR is modulated into customized pattern by a digital micromirror device, and dynamically projected for spatially inducing the polymerization of monomer solutions. By ex vivo irradiation with the patterned NIR, the subcutaneously injected bioink can be noninvasively printed into customized tissue constructs in situ. Without surgery implantation, a personalized ear-like tissue constructs with chondrification and a muscle tissue repairable cell-laden conformal scaffold were obtained in vivo. This work provides a proof of concept of noninvasive in vivo 3D bioprinting.

Identifiers

PMID32537512
PMCPMC7269646

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.