Evidence map›Paper›PMID 35018431›Full record

ArticleInteractive cardiovascular and thoracic surgery2022

Creation of a video library for education and virtual simulation of anatomical lung resection.

Junko Tokuno, Toyofumi Fengshi Chen-Yoshikawa, Megumi Nakao, Masashi Iwakura, Tamaki Motoki, Tetsuya Matsuda, Hiroshi Date

Open access · hybridAbstract readVideo-Audio Media
In one paragraph

Article in Interactive cardiovascular and thoracic surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Is it true that less is more in thoracic surgery?Journal of thoracic disease · 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 at 1 institution in 1 country.

Junko TokunoDepartment of Thoracic Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Toyofumi Fengshi Chen-YoshikawaDepartment of Thoracic Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Megumi NakaoGraduate School of Informatics, Kyoto University, Kyoto, Japan.
Masashi IwakuraInstitution for Information Management and Communication, Kyoto University, Kyoto, Japan.
Tamaki MotokiInstitution for Information Management and Communication, Kyoto University, Kyoto, Japan.
Tetsuya MatsudaGraduate School of Informatics, Kyoto University, Kyoto, Japan.
Hiroshi DateDepartment of Thoracic Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID 0000-0001-7262-6000
Kyoto University · JP

Funding

Acceleration Transformative Research for Medical Innovation 17im0210215Japan Agency for Medical Research and DevelopmentMedical Arts Research Project 20vk0124004h0001the Japan Agency for Medical Research and Development (Acceleration Transformative Research for Medical Innovation 17im0210215
6 · The paper itself

Abstract

objectivesRecently, preoperative and intraoperative simulation using three-dimensional computed tomography (CT) has attracted much attention in thoracic surgery. However, because conventional three-dimensional CT only shows static images, dynamic simulation is required for a more precise operation. We previously reported on a resection process map for pulmonary resection, which we developed to generate virtual dynamic images from preoperative patient-specific CT scans. The goal of this study was to evaluate the feasibility of the clinical use of the resection process map for anatomical lung resection.

methodsThis study included 5 lobectomies for different lobes and 4 representative segmentectomies. Dissection of the pulmonary arteries, veins and bronchi were considered key parts of each procedure. To assess the description of images obtained from the resection process map, relevant clips from the actual surgical videos were collected, retrospectively replicated and superimposed on the resection process map to explain the procedures.

resultsIn all surgical procedures, the resection process map successfully and semiautomatically generated a virtual dynamic image from the patient-specific CT data. Moreover, superimposition of the virtual images on the selected clips from the surgical videos showed no major differences.

conclusionsThe resection process map could generate virtual images that corresponded to the actual surgical videos and has the potential for clinical use as preoperative and intraoperative simulation.

Indexed as

Lung NeoplasmsPneumonectomyHumansImaging, Three-DimensionalLungRetrospective StudiesAnatomical variationSurgical simulationThoracoscopic surgeryThree-dimensional reconstruction

Identifiers

PMID35018431
PMCPMC9153380
OpenAlexW4206408992

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.