Evidence map›Paper›PMID 33478197›Full record

ArticleZhongguo fei ai za zhi = Chinese journal of lung cancer2021

[A Study on the Authenticity of Preoperative Pulmonary Bronchial Angiography by DeepInsight Software].

Wang Zhang, Liang Chen, Jun Wang, Wei Wen, Xinfeng Xu, Quan Zhu

Open access · greenAbstract read
In one paragraph

Article in Zhongguo fei ai za zhi = Chinese journal of lung cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 53% of its field
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

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

6 authors at 2 institutions in 1 country.

Wang ZhangDepartment of Thoracic Surgery, Jiangsu Provincial People's Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Liang ChenDepartment of Thoracic Surgery, Jiangsu Provincial People's Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Jun WangDepartment of Thoracic Surgery, Jiangsu Provincial People's Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Wei WenDepartment of Thoracic Surgery, Jiangsu Provincial People's Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Xinfeng XuDepartment of Thoracic Surgery, Jiangsu Provincial People's Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Quan ZhuDepartment of Thoracic Surgery, Jiangsu Provincial People's Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Jiangsu Province Hospital · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrecise segmentectomy has become the first choice of surgical treatment for pulmonary nodules and early lung cancer, and the key and difficult point of the surgery lies in the precise location and resection of the lesion. DeepInsight is an auxiliary software for precise lung surgery jointly developed by our center and Neusoft Company, which can determine the precise anatomy of the lung and locate the location of lung lesions before operation. This study is to verify the authenticity and reliability of DeepInsight lung bronchial angiography assisted surgery.

methodsIn this study, 1,020 patients with pulmonary nodules <2.0 cm in diameter were included in the Department of Thoracic Surgery Jiangsu Provincial People's Hospital from August 1, 2016 to December 31, 2019. Computed tomographic angiography (CTA) was performed on all the included patients before surgery. The DeepInsight software was used to perform preoperative bronchial angiography on the operative side of the lung to identify the affected pulmonary segments, pulmonary arteries and pulmonary veins. Two thoracic surgeons independently assessed the visibility of the affected pulmonary vessels using the 5-point method, and the χ² test assessed the consistency between observers. In addition, virtual imaging and real anatomy of pulmonary vessels on the operative side were performed during the operation, and the involved pulmonary vessels were finally determined by 2 chief physicians of thoracic surgery.

resultsThere were no statistically significant differences between the number and spatial anatomy of the vessels involved in the pulmonary virtual imaging using DeepInsight software before operation and the number of vessels involved during operation in 1,020 patients. And the consistency among observers is quite satisfactory.

conclusionsThe DeepInsight software virtual imaging of pulmonary bronchial vessels can accurately reconstruct the actual pulmonary vessels and assist the completion of pulmonary segmental resection.

Indexed as

SoftwareAdultAgedAngiographyBronchiFemaleFour-Dimensional Computed TomographyHumansImage Processing, Computer-AssistedLungLung NeoplasmsMaleMiddle AgedPulmonary ArteryPulmonary VeinsRetrospective StudiesDeepInsight softwareLung computed tomographic angiography examinationSegmentectomyThree-dimensional bronchial angiography

Identifiers

PMID33478197
PMCPMC7936079
OpenAlexW3121902781

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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.