ArticleFrontiers in oncology2023
An atlas of anatomical variants of subsegmental pulmonary arteries and recognition error analysis.
Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 7 citations in OpenAlex.
- Artificial Intelligence-Driven Three-Dimensional Reconstruction System Reduced Unexpected Procedural Changes in Thoracic Surgery.Annals of surgical oncology · 2026Article
- Three-Dimensional Bronchovascular Modelling in Sublobar Pulmonary Resection: A Tool for Personalised Thoracic Surgery.Journal of personalized medicine · 2026Review
- Arterial Branching Patterns Supplying the Left Upper Lobe of the Lung and Their Incidence: A Systematic Review.Journal of clinical medicine · 2026Review
- A Thorough Review of the Clinical Applications of Artificial Intelligence in Lung Cancer.Cancers · 2025Review
- Left S3 + S8 Segmentectomy with Rare Interlobar A3 Vascular Anomaly: A Case Report.Surgical case reports · 2025Article
- Rare complex anatomical variation of right pulmonary vessels and bronchi: a case report.Journal of thoracic disease · 2024Article
- A new method for evaluating lung volume: AI-3D reconstruction.Frontiers in physiology · 2023Article
- Analysis of pulmonary artery variation based on 3D reconstruction of CT angiography.Frontiers in physiology · 2023Article
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Surgery, including lobectomy and segmentectomy, is the major curative intervention for lung cancer. Surgical planning for pulmonary surgery is difficult due to the high variation rate of pulmonary arteries and needs a fine-grained atlas as a reference. We conducted a study to create a surgically oriented atlas and analyzed the error encountered during the production. Method: A total of 100 Chest CTs performed at Peking University People's Hospital from 2013.09 to 2020.10 were randomly selected for segmental artery labeling. Dicom files were collected for 3D reconstruction. Manual segmentation of each segmental artery was performed by 4 thoracic surgeons. Cross-validation by surgeons was performed to establish the golden standard based on their consensus. Initial recognition errors were recorded accordingly. Result: The most frequently seen variants for the right upper lobe is 2-branch RA Conclusion: Our research provided an atlas for lobectomy and segmentectomy at the subsegmental or more distal level. We demonstrated that the recognition accuracy of pulmonary arteries in a non-time-sensitive experimental scenario was still unfavorable. We also suggest that extra attention should be paid to certain surgeries during the surgical planning process.
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