Evidence map›Paper›PMID 41792498›Full record

ArticleLangenbeck's archives of surgery2026

Surgical simulation of minimally invasive bronchial sleeve resection and reconstruction using interactive 3-dimensional airway models.

Yoshifumi Hirata, Kohei Hashimoto, Takashi Nozawa, Keisei Tachibana, Ryota Tanaka, Kenichi Yokoyama, Tomonari Kinoshita, Takashi Ohtsuka, Haruhiko Kondo

Abstract read
In one paragraph

Article in Langenbeck's archives of surgery, 2026. 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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0citing papers 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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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

9 authors.

Yoshifumi HirataDivision of Thoracic Surgery, Kyorin University, 6-20-2 Shinkawa, Mitaka, Tokyo, 181-8611, Japan.
Kohei HashimotoDivision of Thoracic Surgery, Kyorin University, 6-20-2 Shinkawa, Mitaka, Tokyo, 181-8611, Japan. kohei-hashimoto@ks.kyorin-u.ac.jp.
Takashi NozawaDepartment of Clinical Engineering, Kyorin University Hospital, Tokyo, Japan.
Keisei TachibanaDivision of Thoracic Surgery, Kyorin University, 6-20-2 Shinkawa, Mitaka, Tokyo, 181-8611, Japan.
Ryota TanakaDivision of Thoracic Surgery, Kyorin University, 6-20-2 Shinkawa, Mitaka, Tokyo, 181-8611, Japan.
Kenichi YokoyamaDepartment of Radiology, Kyorin University School of Medicine, Tokyo, Japan.
Tomonari KinoshitaDepartment of Surgery, Division of Thoracic Surgery, The Jikei University School of Medicine, Tokyo, Japan.
Takashi OhtsukaDepartment of Surgery, Division of Thoracic Surgery, The Jikei University School of Medicine, Tokyo, Japan.
Haruhiko KondoDivision of Thoracic Surgery, Kyorin University, 6-20-2 Shinkawa, Mitaka, Tokyo, 181-8611, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeBronchial sleeve resection is a lung-sparing procedure that avoids pneumonectomy and reduces postoperative mortality, but it remains technically demanding. The rise of minimally invasive approaches such as video-assisted thoracic surgery (VATS) and robotic-assisted thoracic surgery (RATS) adds further complexity, increasing the need for realistic and high-fidelity training. The purpose of this study is to develop high fidelity dry lab for minimally invasive bronchial sleeve resection and reconstruction.

methodsA modular chest wall training device was created to support various minimally invasive approaches. The module includes 25 configurable 30 mm ports with detachable 8 mm rubber plugs, allowing simulation of multiportal and uniportal VATS, as well as RATS. A 3-dimensional precise bronchial model derived from computed tomography data was used to simulate right upper lobe sleeve resection. The training model was evaluated with a 5-point Likert scale (surgical exposure, manipulation, and usefulness as training) after four board-certified thoracic surgeons performed simulations with both approaches.

resultsThe training was successfully conducted using both thoracoscopic and robotic approaches and could be repeated with no issues in port interference or stability. The evaluation by the four thoracic surgeons was generally acceptable (VATS: median score [range] on a 5-point Likert scale: surgical exposure 3.5 [2-5], manipulation 2.5 [2-5], usefulness as training 4.0 [4-5]. Robotic-assisted surgery: surgical exposure 4.5 [4-5], manipulation 4.0 [4-5], usefulness as training 5.0 [4-5]).

conclusionThis training system helps thoracic surgeons prepare for the growing demand for this type of procedure and ultimately improve surgical outcomes.

Indexed as

BronchiImaging, Three-DimensionalMinimally Invasive Surgical ProceduresModels, AnatomicPlastic Surgery ProceduresRobotic Surgical ProceduresSimulation TrainingThoracic Surgery, Video-AssistedComputer SimulationHumansPneumonectomyTomography, X-Ray Computed3D modelRobotic assisted surgerySleeve resectionSurgical educationVideo assisted surgery

Identifiers

PMID41792498
PMCPMC13018060

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LicenceCC BY-NC-ND
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Registered trials

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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.