Evidence map›Paper›PMID 40019697›Full record

Article3D printing in medicine2025

Clinical application of three-dimensional printing technology in laparoscopic right hemicolectomy for colon cancer: a pilot study and video demonstration.

Zongxian Zhao, Rundong Yao, Yuan Yao, Zongju Hu, Shu Zhu, Fusheng Wang

Abstract read
In one paragraph

Article in 3D printing in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Zongxian ZhaoAnorectal Surgery Department, Fuyang People's Hospital, No. 501 Sanqing Road, Yingzhou District, Fuyang, 236000, Anhui, China.
Rundong YaoAnorectal Surgery Department, Fuyang People's Hospital, No. 501 Sanqing Road, Yingzhou District, Fuyang, 236000, Anhui, China.
Yuan YaoAnorectal Surgery Department, Fuyang People's Hospital, No. 501 Sanqing Road, Yingzhou District, Fuyang, 236000, Anhui, China.
Zongju HuAnorectal Surgery Department, Fuyang People's Hospital, No. 501 Sanqing Road, Yingzhou District, Fuyang, 236000, Anhui, China. hzj130123@126.com.
Shu ZhuAnorectal Surgery Department, Fuyang People's Hospital, No. 501 Sanqing Road, Yingzhou District, Fuyang, 236000, Anhui, China.
Fusheng WangAnorectal Surgery Department, Fuyang People's Hospital, No. 501 Sanqing Road, Yingzhou District, Fuyang, 236000, Anhui, China. Wangfs666@163.com.

Funding

Bengbu Medical College of Bengbu City 2023byzd215Health Commission of Fuyang City FY2023-45
6 · The paper itself

Abstract

backgroundPatients who undergo laparoscopic right hemicolectomy often have vascular anomalies, creating challenges for surgeons. Preoperative identification of vascular anomalies and intraoperative precise navigation can enhance surgical safety and reduce the difficulty of the procedure. Accordingly, this study aimed to explore and evaluate the application of three-dimensional (3D) reconstruction and printing technology in laparoscopic right hemicolectomy and its assistance in preoperative planning and intraoperative navigation.

method11 3D-reconstructed images and printed models of right hemicolectomy vasculature were preoperatively created to assist in developing individualized surgical plans. Intraoperatively, essential vessels (gastrocolic trunk of Henle, GTH) were identified and located with the help of the 3D printed models. Additionally, 36 cases without the assistance of 3D printing were retrospectively collected for the control group. Statistical analysis was performed to evaluate the impact of the 3D printed models on surgery-related characteristics.

resultsThe 3D-printed models accurately depicted anatomical structures, particularly the positions and adjacent relationships of essential vessels, including the superior mesenteric artery (SMA), superior mesenteric vein (SMV), GTH and related arterial/venous branches. The operation time was significantly lower in the 3D printing group (198.6 ± 8.8 min in 3D printing group vs. 230.7 ± 47.5 min in control group, P = 0.025).

conclusionsIn conclusion, this study represents a novel vascular 3D printed modelfor surgical planning and intraoperative navigation in laparoscopic right hemicolectomy. It underscores the potential clinical applications of 3D printing in this context. Preoperative identification of vascular anomalies and precise intraoperative navigation can feasibly reduce surgical difficulty and enhance safety.

Indexed as

3D printingIntraoperative navigationLaparoscopic right hemicolectomySurgical planningVascular anomalies

Identifiers

PMID40019697
PMCPMC11869718

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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.