Evidence map›Paper›PMID 33313087›Full record

ArticleAnnals of translational medicine2020

Application of 3D modeling and printing technology in accurate resection of complicated thoracic tumors.

Deli Tan, Jie Yao, Xing Hua, Jingyao Li, Zhou Xu, Yi Wu, Wei Wu

Abstract read
In one paragraph

Article in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. 3D printing in medicine: bridging imaging, education, and practice.Archives of medical sciences. Atherosclerotic diseases · 2025
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. 3D Modeling of Sculpture Nano-Ceramics under Sparse Image Sequence.International journal of analytical chemistry · 2022
    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

7 authors.

Deli TanInstitute of Digital Medicine, Biomedical Engineering College, Army Medical University (Third Military Medical University), Chongqing, China.
Jie YaoInstitute of Digital Medicine, Biomedical Engineering College, Army Medical University (Third Military Medical University), Chongqing, China.
Xing HuaUltrasound Department, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Jingyao LiThoracic Surgery Department, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Zhou XuInstitute of Digital Medicine, Biomedical Engineering College, Army Medical University (Third Military Medical University), Chongqing, China.
Yi WuInstitute of Digital Medicine, Biomedical Engineering College, Army Medical University (Third Military Medical University), Chongqing, China.
Wei WuThoracic Surgery Department, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo explore the application value of three-dimensional (3D) reconstruction and 3D printing in preoperative evaluation of precise resection of complicated thoracic tumors.

methodsA retrospective analysis of 34 patients with complicated thoracic tumors who were treated by radical surgery from March 2016 to June 2019 was made. According to whether 3D reconstruction and 3D printing was used, the patients were divided into research group and control group. In the control group, preoperative evaluation was performed according to CT image data, and the operation plan was drawn up; in the research group, preoperative simulation and preoperative operation plan design were carried out according to 3D reconstruction and 3D printing technology. The operation time, change of operation approach, intraoperative blood loss, hospitalization time and postoperative complications were compared between the two groups. We also retrospectively reviewed additional 12 cases of unresectable complicated thoracic tumors. The above 34 patients who were treated by radical surgery were set as the resectable group. Three-dimensional reconstruction was performed for all cases. The tumor size, location, smoothness of tumor-vascular contact surface, close contact with adjacent organs were compared between these two groups.

resultsThe 3D reconstruction and 3D printing model were successfully established. The indexes of operation time, change of incision approach and blood loss in the research group were lower than those in the control group (P<0.05). All the patients were followed up for 6 months, and there was no death, no tumor recurrence and metastasis in the two groups. In the unresectable group, the score of position and smoothness of tumor-vascular contact surface were significantly higher than that in the resectable group.

conclusions3D reconstruction and 3D printing can effectively help surgeons carry out accurate surgical treatment, reduce the operation time and bleeding, reduce the risk of surgery, and facilitate the postoperative rehabilitation of patients, which has the value of promotion and application.

Indexed as

3D reconstructionchest wallComplicated thoracic tumorthree-dimensional printing technology (3D printing technology)

Identifiers

PMID33313087
PMCPMC7723599

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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.