ArticleInteractive cardiovascular and thoracic surgery2022
Creation of a video library for education and virtual simulation of anatomical lung resection.
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.
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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.
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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.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.
- Augmented Reality Implementation in Minimally Invasive Surgery for Future Application in Pulmonary Surgery: A Systematic Review.Surgical innovation · 2024Pooled it
- 3-dimensional reconstruction and mixed reality in thoracic surgery: a narrative review and user guide.Journal of thoracic disease · 2025Review
- Current Status and Future Perspectives of Preoperative and Intraoperative Marking in Thoracic Surgery.Cancers · 2024Review
- Review
- New method for delineation of the intersegmental line in a deflated lung.Journal of thoracic disease · 2023Article
- Clinical application of resection process map as a novel surgical guide in thoracic surgery.Interdisciplinary cardiovascular and thoracic surgery · 2023Article
- Is it true that less is more in thoracic surgery?Journal of thoracic disease · 2022Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
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.
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Registered trials
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.