Evidence map›Paper›PMID 40117197›Full record

ArticleInterdisciplinary cardiovascular and thoracic surgery2025

Planning thoracoscopic segmentectomies with 3-dimensional reconstruction software improves outcomes.

Aljaz Hojski, Mohamed Hassan, Makhmudbek Mallaev, Nikolay Tsvetkov, Brigitta Gahl, Didier Lardinois

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Article in Interdisciplinary cardiovascular and thoracic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Aljaz HojskiDepartment of Thoracic Surgery, University Hospital Basel, Basel, Switzerland.ORCID 0000-0002-6313-1257
Mohamed HassanDepartment of Thoracic Surgery, University Hospital Basel, Basel, Switzerland.
Makhmudbek MallaevDepartment of Thoracic Surgery, University Hospital Basel, Basel, Switzerland.
Nikolay TsvetkovDepartment of Thoracic Surgery, University Hospital Basel, Basel, Switzerland.
Brigitta GahlSurgical Outcome Research Center, University Hospital Basel, University of Basel, Basel, Switzerland.ORCID 0000-0001-8123-0438
Didier LardinoisDepartment of Thoracic Surgery, University Hospital Basel, Basel, Switzerland.

Funding

Department of Thoracic Surgery, University Hospital Basel, Basel, Switzerland
6 · The paper itself

Abstract

objectivesWe investigated whether preoperatively generated models of the anatomy of the lung using 3-dimensional (3D) reconstruction software based on high-resolution computed tomography scans improve surgical and postoperative outcomes after video-assisted thoracoscopic surgery (VATS) segmentectomies.

methodsWe retrospectively collected data from 100 consecutive patients who signed the general research consent form and underwent VATS segmentectomies between 2018 and 2023. The outcomes and complications of the operations planned with the 3D models were compared to the results of those performed without the models. We used propensity modelling and inverse probability of treatment weighting (IPTW) to analyse the data.

resultsThirty-seven of the 100 patients included underwent surgery planned using the 3D models. In the 3D group, complex segmentectomies were performed more frequently (89% vs 38%, P < 0.001), and there were markedly fewer conversions to thoracotomy (P = 0.003). The IPTW analysis showed fewer severe complications (Clavien-Dindo grade III or IV) [post-IPTW odds ratio 0.10 (95% confidence interval 0.01-0.87), P = 0.037], and no Clavien-Dindo grade V complications occurred. Additionally, operative planning using models generated from 3D reconstruction software may influence procedural and postoperative parameters, such as the number of segments removed (1.9 ± 1.0 vs 1.7 ± 0.8, P = 0.40), duration of chest tube placement (3.0 days, interquartile range 2.0-4.0 vs 2.0 days, interquartile range 1.0-3.0, P = 0.060), and stay in the intensive/intermediate care unit.

conclusionsThe planning of complex anatomical VATS segmentectomies using 3D models constructed from 3D reconstruction software significantly reduces the need for conversions to thoracotomy and postoperative complications rates. In addition, complex operations are thereby performed safely.

Indexed as

Imaging, Three-DimensionalLung NeoplasmsPneumonectomyRadiographic Image Interpretation, Computer-AssistedSoftwareThoracic Surgery, Video-AssistedTomography, X-Ray ComputedAgedFemaleHumansMaleMiddle AgedPostoperative ComplicationsPredictive Value of TestsRetrospective StudiesRisk Factors3D-reconstructioncomplicationconversionsurgical outcomeVATS segmentectomy

Identifiers

PMID40117197
PMCPMC12011358

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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.