CE-NC-VesselSegNet: Supervised by contrast-enhanced CT images but utilized to segment pulmonary vessels from non-contrast-enhanced CT images

Wang, Meihuan; Qi, Shouliang; Wu, Yanan; Sun, Yu; Chang, Runsheng; Pang, Haowen; Qian, Wei

doi:10.1016/j.bspc.2022.104565

Cited by 8 publications

(2 citation statements)

References 34 publications

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“…This advanced technology involves using CT, MRI (Magnetic resonance imaging), and other scanning techniques to collect continuous data of the body structure and store it in a computer. Relevant software is then used to recognize and process the image data, which is utilized to construct a virtual three-dimensional model of human organs ( ZHOU et al, 2020 ; CHADWICK et al, 2021 ; KNUDSEN et al, 2021 ; WANG et al, 2023 ). Compared with two-dimensional images, the reconstructed three-dimensional model has the advantages of being more intuitive, easier to observe, and presenting a better understanding of the relevant tissues in the body.…”

Section: Introductionmentioning

confidence: 99%

Analysis of pulmonary artery variation based on 3D reconstruction of CT angiography

Qin

et al. 2023

Front. Physiol.

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Objective: The aim of this study is to acquire pulmonary CT (Computed tomography) angiographic data for the purpose of creating a three-dimensional reconstruction. Additionally, we aim to analyze the features and deviations of the branches in both pulmonary lobes. This information is intended to serve as a more comprehensive and detailed reference for medical professionals when conducting preoperative evaluations and devising surgical plans.Method: Between August 2019 and December 2021, 420 patients were selected from the thoracic surgery department at the First Hospital of Jilin University, and underwent pulmonary 64 channel contrast enhanced CT examinations (Philips ICT 256). The images were acquired at a 1.5 mm slice thickness, and the DCM files that complied with DICOM (Digital Imaging and Communications in Medicine) standards were analysed for 3D (three dimensional) reconstruction using Mimics 22.0 software. The reconstructed pulmonary artery models were assessed by attending chest surgeons and radiologists with over 10 years of clinical experience. The two-dimensional image planes, as well as the coronary and sagittal planes, were utilized to evaluate the arteries. The study analyzed the characteristics and variations of the branches and courses of pulmonary arteries in each lobe of the lungs, with the exception of the subsegmental arterial system. Two chest surgeons and two radiologists with professional titles-all of whom had over a decade of clinical experience-jointly evaluated the 3D models of the pulmonary artery and similarly assessed the characteristics and variations of the branches and courses in each lobe of the lungs.Results: Significant variations were observed in the left superior pulmonary artery across the 420 subjects studied. In the left upper lobe, the blood supply of 4 arteries accounted for 50.5% (n = 212), while the blood supply of 2 arteries in the left lower lobe was the most common, accounting for 79.5% (n = 334). The greatest variation in the right pulmonary artery was observed in the branch supply of the right upper lobe mediastinal artery. In the majority of cases (77.9%), there were two arteries present, which was the most common configuration observed accounting for 64% (n = 269). In the right inferior lobe of the lung, there were typically 2–4 arteries, with 2 arteries being the most common configuration (observed in 79% of cases, n = 332).Conclusion: The three-dimensional reconstruction of pulmonary artery CT angiography enables clear observation of the branches and distribution of the pulmonary artery while also highlighting any variations. This technique holds significant clinical value for preoperative assessments regarding lesions and blood vessels.

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Section: Introductionmentioning

confidence: 99%

Analysis of pulmonary artery variation based on 3D reconstruction of CT angiography

Qin

et al. 2023

Front. Physiol.

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“…has proved the technical feasibility ( 16 ), Wang etc. ( 17 ) and Li etc. ( 18 ) also provided clinically feasible algorithms.…”

Section: Discussionmentioning

confidence: 99%

An atlas of anatomical variants of subsegmental pulmonary arteries and recognition error analysis

Zhao

Jin

et al. 2023

Front. Oncol.

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BackgroundSurgery, 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.MethodA 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.ResultThe most frequently seen variants for the right upper lobe is 2-branch RA1+2rec+3 and RA2asc; right middle lobe 2-branch RA4a and RA4b+5; right lower lobe 3-branch RA7, RA8 and RA9+10; left upper lobe 3-branch LA1+2a+3, LA1+2b, LA1+2c and 1-branch LA4+5; left lower lobe 2-branch LA8 and LA9+10. Top 5 segmental error occurs in RA4 (23%), LA8 (17%), RA9 (17%), RA8 (14%) and LA9 (11%). A rapid surgical planning tool form was created based on high frequency anatomic variants.ConclusionOur 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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Transformer-based 3D U-Net for pulmonary vessel segmentation and artery-vein separation from CT images

Wang

et al. 2023

Med Biol Eng Comput

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CE-NC-VesselSegNet: Supervised by contrast-enhanced CT images but utilized to segment pulmonary vessels from non-contrast-enhanced CT images

Cited by 8 publications

References 34 publications

Analysis of pulmonary artery variation based on 3D reconstruction of CT angiography

Analysis of pulmonary artery variation based on 3D reconstruction of CT angiography

An atlas of anatomical variants of subsegmental pulmonary arteries and recognition error analysis

Transformer-based 3D U-Net for pulmonary vessel segmentation and artery-vein separation from CT images

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