Evidence map›Paper›PMID 38933318›Full record

ArticleTurk gogus kalp damar cerrahisi dergisi2024

Effect of preoperative three-dimensional modeling on uniportal video-assisted thoracoscopic bronchial sleeve resection and early postoperative outcomes.

Selcuk Gurz, Aysen Sengul, Yasemin Buyukkarabacak, Mehmet Gokhan Pirzirenli, Necmiye Gul Temel, Yurdanur Sullu, Asli Tanrivermis Sayit, Hasan Gundogdu, Ahmet Basoglu

Abstract read
In one paragraph

Article in Turk gogus kalp damar cerrahisi dergisi, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
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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

9 authors.

Selcuk GurzDepartment of Thoracic Surgery, Ondokuz Mayıs University Faculty of Medicine, Samsun, Türkiye.ORCID 0000-0003-4584-4840
Aysen SengulDepartment of Thoracic Surgery, Ondokuz Mayıs University Faculty of Medicine, Samsun, Türkiye.ORCID 0000-0002-1558-8228
Yasemin BuyukkarabacakDepartment of Thoracic Surgery, Ondokuz Mayıs University Faculty of Medicine, Samsun, Türkiye.ORCID 0000-0001-9676-9313
Mehmet Gokhan PirzirenliDepartment of Thoracic Surgery, Ondokuz Mayıs University Faculty of Medicine, Samsun, Türkiye.ORCID 0000-0002-1831-2710
Necmiye Gul TemelDepartment of Thoracic Surgery, Samsun Education and Research Hospital, Dr. Kamil Furtun Chest Diseases and Thoracic Surgery Hospital Additional Service Building, Samsun, Türkiye.ORCID 0000-0001-5188-8036
Yurdanur SulluDepartment of Pathology, Ondokuz Mayıs University Faculty of Medicine, Samsun, Türkiye.ORCID 0000-0002-8029-2490
Asli Tanrivermis SayitDepartment of Radiology, Ondokuz Mayıs University Faculty of Medicine, Samsun, Türkiye.ORCID 0000-0003-2861-156X
Hasan GundogduDepartment of Radiology, Samsun University Faculty of Medicine, Samsun, Türkiye.ORCID 0000-0003-0858-7304
Ahmet BasogluDepartment of Thoracic Surgery, Ondokuz Mayıs University Faculty of Medicine, Samsun, Türkiye.ORCID 0000-0002-6312-5658

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The aim of this study was to evaluate the effects of preoperative three-dimensional (3D) modeling on the performance of uniportal video-assisted thoracoscopic bronchial sleeve resection and early postoperative outcomes. Methods: A total of 10 patients (5 males, 5 females; mean age: 53.8±16.9 years; range, 18 to 75 years) who underwent uniportal video-assisted thoracoscopic bronchial sleeve resection with preoperative 3D modeling between April 2021 and November 2023 were retrospectively analyzed. Preoperative 3D modeling was prepared using computed tomography with an open-source 3D software program. Demographic, clinical, intraoperative, and postoperative data of the patients were recorded. Anatomical landmarks identified by preoperative 3D modeling were compared with intraoperative findings. Results: The anatomical landmarks created with the 3D model were in 100% agreement with the intraoperative findings. The procedures performed were three left lower lobes, three right upper lobes, one middle lobe, one right lower lobe, and one parenchyma-sparing intermediate bronchial sleeve resection. Bronchial sleeve resection was completed using uniportal video-assisted thoracoscopic technique in 90% of patients, with only one patient requiring conversion to open thoracotomy. The mean resection time was 264.2±40.5 min, and the mean anastomosis time was 86.0±20.3 min. Anastomosis times decreased with increasing experience (p=0.008). Postoperative atelectasis was observed in two patients, and there was no mortality. The mean follow-up duration was 12.2±11.8 months. Conclusion: Preoperative 3D modeling significantly contributed to the successful implementation of uniportal video-assisted thoracoscopic bronchial sleeve resection surgery. In the future, with advancements in simulation programs, patient-specific 3D modeling is expected to benefit the identification of anatomical landmarks for bronchial sleeve resections.

Indexed as

Bronchial sleeve resectionthree-dimensional modelinguniportalvideo-assisted thoracoscopic surgery.

Identifiers

PMID38933318
PMCPMC11197408

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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.