Evidence map›Paper›PMID 40936986›Full record

ArticleTurk gogus kalp damar cerrahisi dergisi2025

Three-dimensional modeling of bronchovascular anatomy for preoperative planning and intraoperative guidance in uniportal video-assisted thoracoscopic segmentectomy.

Selçuk Gürz, Ayşen Şengül

Abstract read
In one paragraph

Article in Turk gogus kalp damar cerrahisi dergisi, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Selçuk GürzDepartment of Thoracic Surgery, Ondokuz Mayıs University Faculty of Medicine, Samsun, Türkiye.ORCID 0000-0003-4584-4840
Ayşen ŞengülDepartment of Thoracic Surgery, Ondokuz Mayıs University Faculty of Medicine, Samsun, Türkiye.ORCID 0000-0002-1558-8228

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aim to evaluate the feasibility of threedimensional (3D) modeling using open-source free software for preoperative planning and intraoperative guidance in uniportal video-assisted thoracoscopic segmentectomies. Methods: Between October 2020 and November 2023, 50 patients (27 males, 23 females; mean age: 60±11.1 years; range, 34 to 78 years) who underwent uniportal video-assisted thoracoscopic pulmonary segmentectomy with preoperative 3D modeling were retrospectively analyzed. Preoperative 3D modeling was performed using computed tomography with an open-source 3D software program. The virtual models exported to the mobile device were compared with the anatomical structures of the patient intraoperatively. The patients were divided into two groups as simple and complex segmentectomy according to the characteristics of the surgical procedures. Results: The overall matching success rate of the virtual 3D models with intraoperatively identified bronchovascular structures was 99.27%. The overall variation rate was 36% (n=18) among all patients. There was a significant difference between the two groups in terms of the bronchovascular variation. The bronchovascular variation rate was 11.1% (n=2) in Group 1 and 50% (n=16) in Group 2 (p=0.006). Conclusion: Three-dimensional modeling using open-source software for preoperative planning and intraoperative guidance is a reliable method for detecting bronchovascular structures of the target segment with high accuracy in uniportal video-assisted thoracoscopic surgery segmentectomy.

Indexed as

3D modelingsegmentectomyuniportalvideo-assisted thoracoscopic surgery.

Identifiers

PMID40936986
PMCPMC12421563

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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.