Evidence map›Paper›PMID 35844455›Full record

ArticleComputational and mathematical methods in medicine2022

Influence of Three-Dimensional Visual Reconstruction Technology Combined with Virtual Surgical Planning of CTA Images on Precise Resection of Liver Cancer in Hepatobiliary Surgery.

Yuanyu Zhao, Ting Chen, Hui Wang, Qiang Xue, Wenyuan Guo, Guoshan Ding, Junfeng Dong, Junsong Ji

Abstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

8 authors.

Yuanyu Zhao *Department of Liver Surgery, Changzheng Hospital, Naval Medical University, Shanghai 200003, China.
Ting Chen *Department of General Surgery, Shanghai Jing'an District Zhabei Central Hospital, Shanghai 200070, China.
Hui Wang *Department of General Surgery, Shanghai Jing'an District Zhabei Central Hospital, Shanghai 200070, China.
Qiang XueDepartment of Neurosurgery, Eastern Hepatobiliary Surgery Hospital, Navy Medical University, Shanghai 200082, China.
Wenyuan GuoDepartment of Liver Surgery, Changzheng Hospital, Naval Medical University, Shanghai 200003, China.
Guoshan DingDepartment of Liver Surgery, Changzheng Hospital, Naval Medical University, Shanghai 200003, China.
Junfeng DongDepartment of Liver Surgery, Changzheng Hospital, Naval Medical University, Shanghai 200003, China.ORCID https://orcid.org/0000-0003-2257-5983
Junsong JiDepartment of Liver Surgery, Changzheng Hospital, Naval Medical University, Shanghai 200003, China.ORCID https://orcid.org/0000-0002-6075-2496

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatobiliary malignancies, such as hepatocellular carcinoma (HCC) and biliary tract cancers, namely, gallbladder carcinoma and cholangiocarcinoma, are linked to a high rate of morbidity and mortality, depending on the phase of the disease. The intricate hepatobiliary anatomy and the need for accurate peroperative management, especially in patients with advanced liver disease, make these tumors difficult to treat. Surgical resection is a notable therapy for hepatobiliary cancers. Unnecessary or excessive liver excision influences patient rehabilitation, normal liver function, and postoperative complications. Hepatobiliary operations must therefore include accurate liver removal. The present advancements in imaging technology are aimed at improving the diagnostic efficacy of liver injury even more. Three-dimensional visual reconstruction is becoming more important in the diagnosis as well as treatment of a variety of disorders. In this paper, we proposed a novel three-dimensional visual reconstruction technology using enhanced nonuniform rational basis spline (ENURBS) combined with virtual surgical planning of Computed Tomography Angiography (CTA) images for precise liver cancer resection. The purpose of this project is to rebuild 2D CTA scan images of liver cancer into a 3D reconstructed model for efficient visualization and diagnosis of liver cancer and to prepare an effective preoperative surgical plan for precise liver excision based on a 3D recreated liver model. This method's performance is compared to that of 2D planning in terms of accuracy and time taken to complete the plan. It is concluded that our proposed technique outperforms the planning technique based on 2D images.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsComputed Tomography AngiographyHumansImaging, Three-DimensionalRetrospective StudiesTechnology

Identifiers

PMID35844455
PMCPMC9283065

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.