Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023 Jun;71(2):131-137.
doi: 10.5578/tt.20239916.

[Segmentation of acute pulmonary embolism in computed tomography pulmonary angiography using the deep learning method]

[Article in Turkish]
Nevin Aydın  1 , Çağatay Cihan  1 , Özer Çelik  2 , Ahmet Faruk Aslan  2 , Alper Odabaş  2 , Füsun Alataş  3 , Hüseyin Yıldırım  3
Affiliations

[Segmentation of acute pulmonary embolism in computed tomography pulmonary angiography using the deep learning method]

[Article in Turkish]
Nevin Aydın et al. Tuberk Toraks. 2023 Jun.

Abstract

ABSTRACT: Segmentation of acute pulmonary embolism in computed tomography pulmonary angiography using the deep learning method

Introduction: Pulmonary embolism is a type of thromboembolism seen in the main pulmonary artery and its branches. This study aimed to diagnose acute pulmonary embolism using the deep learning method in computed tomographic pulmonary angiography (CTPA) and perform the segmentation of pulmonary embolism data.

Materials and Methods: The CTPA images of patients diagnosed with pulmonary embolism who underwent scheduled imaging were retrospectively evaluated. After data collection, the areas that were diagnosed as embolisms in the axial section images were segmented. The dataset was divided into three parts: training, validation, and testing. The results were calculated by selecting 50% as the cut-off value for the intersection over the union.

Results: Images were obtained from 1.550 patients. The mean age of the patients was 64.23 ± 15.45 years. A total of 2.339 axial computed tomography images obtained from the 1.550 patients were used. The PyTorch U-Net was used to train 400 epochs, and the best model, epoch 178, was recorded. In the testing group, the number of true positives was determined as 471, the number of false positives as 35, and 27 cases were not detected. The sensitivity of CTPA segmentation was 0.95, the precision value was 0.93, and the F1 score value was 0.94. The area under the curve value obtained in the receiver operating characteristic analysis was calculated as 0.88.

Conclusion: In this study, the deep learning method was successfully employed for the segmentation of acute pulmonary embolism in CTPA, yielding positive outcomes.

PubMed Disclaimer

Conflict of interest statement

The authors have no conflicts of interest to declare that are relevant to the content of this article.

Figures

Figure 1
Figure 1
Graph of the ROC analysis (ROC, receiver operating characteristic. AUC: Area under the curve
Figure 2
Figure 2
Computed tomographic pulmonary angiography examination revealed filling defects consistent with acute pulmonary embolism in the pulmonary arteries and segment branches of the lower lobes of both lungs in a 63 year-old male patient. Segmentation of the areas consistent with the detected acute pulmonary embolism was performed.
Figure 3
Figure 3
The image of the U-net architecture
See this image and copyright information in PMC

References

    1. Agnelli G, Becattini C. Acute pulmonary embolism. N Engl J Med 2010 . 2010;363(3):266-74. doi: 10.1056/NEJMra0907731. - DOI - PubMed
    1. Brown MD, Rowe BH., Reeves MJ, Bermingham JM, Goldhaber SZ. The accuracy of the enzyme-linked immunosorbent assay D-dimer test in the diagnosis of pulmonary embolism: A meta-analysis. Ann Emerg Med 2002 . 2010;40(2):133-44. doi: 10.1067/mem.2002.124755. - DOI - PubMed
    1. PIOPED Investigators . Value of the ventilation/perfusion scan in acute pulmonary embolism. Results of the prospective investigation of pulmonary embolism diagnosis (PIOPED). JAMA 1990 . 1990;263(20):2753-9. doi: 10.1001/jama.263.20.2753. - DOI - PubMed
    1. Borris LC, Christiansen HM, Lassen MR, Olsen AD, Schøtt P. Comparison of real-time B-mode ultrasonography and bilateral ascending phlebography for detection of postoperative deep vein thrombosis following elective hip surgery. The Venous Thrombosis Group. Thromb Haemost 1989 . 1989;61(3):363-5. doi: 10.1055/s-0038-1646596. - DOI - PubMed
    1. Rathbun SW, Raskob GE, Whitsett TL. Sensitivity and specificity of helical computed tomography in the diagnosis of pulmonary embolism: A systematic review. Ann Intern Med 2000 . 2000;132(3):227-32. doi: 10.7326/0003-4819-132-3-200002010-00009. - DOI - PubMed

Publication types