Type B Aortic Dissection CTA Collection with True and False Lumen Expert Annotations for the Development of AI-based Algorithms.
Journal
Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192
Informations de publication
Date de publication:
06 Jun 2024
06 Jun 2024
Historique:
received:
15
05
2023
accepted:
22
04
2024
medline:
7
6
2024
pubmed:
7
6
2024
entrez:
6
6
2024
Statut:
epublish
Résumé
Aortic dissections (ADs) are serious conditions of the main artery of the human body, where a tear in the inner layer of the aortic wall leads to the formation of a new blood flow channel, named false lumen. ADs affecting the aorta distally to the left subclavian artery are classified as a Stanford type B aortic dissection (type B AD). This is linked to substantial morbidity and mortality, however, the course of the disease for the individual case is often unpredictable. Computed tomography angiography (CTA) is the gold standard for the diagnosis of type B AD. To advance the tools available for the analysis of CTA scans, we provide a CTA collection of 40 type B AD cases from clinical routine with corresponding expert segmentations of the true and false lumina. Segmented CTA scans might aid clinicians in decision making, especially if it is possible to fully automate the process. Therefore, the data collection is meant to be used to develop, train and test algorithms.
Identifiants
pubmed: 38844767
doi: 10.1038/s41597-024-03284-2
pii: 10.1038/s41597-024-03284-2
doi:
Types de publication
Dataset
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
596Subventions
Organisme : Technische Universität Graz (Graz University of Technology)
ID : LEAD Project on Aortic Dissection
Informations de copyright
© 2024. The Author(s).
Références
Isselbacher, E. M. et al. 2022 ACC/AHA Guideline for the Diagnosis and Management of Aortic Disease: A Report of the American Heart Association/American College of Cardiology Joint Committee on Clinical Practice Guidelines. Circulation 146, e334–e482 (2022).
doi: 10.1161/CIR.0000000000001106
pubmed: 36322642
Erbel, R. et al. 2014 ESC Guidelines on the diagnosis and treatment of aortic diseases: Document covering acute and chronic aortic diseases of the thoracic and abdominal aorta of the adult. The Task Force for the Diagnosis and treatment of Aortic Diseases of the European Society of Cardiology (ESC). Eur Heart J 35, 2873–2926 (2014).
doi: 10.1093/eurheartj/ehu281
pubmed: 25173340
Rylski, B. et al. Acute non-A non-B aortic dissection: incidence, treatment and outcome. European Journal of Cardio-Thoracic Surgery 52, 1111–1117 (2017).
doi: 10.1093/ejcts/ezx142
pubmed: 28582524
Thubrikar, M. J., Agali, P. & Robicsek, F. Wall stress as a possible mechanism for the development of transverse intimal tears in aortic dissections. J Med Eng Technol 23, 127–134 (1999).
doi: 10.1080/030919099294177
pubmed: 10561823
Sayed, A., Munir, M. & Bahbah, E. I. Aortic Dissection: A Review of the Pathophysiology, Management and Prospective Advances. Curr Cardiol Rev 17, e230421186875 (2021).
doi: 10.2174/1573403X16666201014142930
pubmed: 33059568
pmcid: 8762162
Juraszek, A., Czerny, M. & Rylski, B. Update in aortic dissection. Trends Cardiovasc Med 32, 456–461 (2022).
doi: 10.1016/j.tcm.2021.08.008
pubmed: 34411744
Sherk, W. M., Khaja, M. S. & Williams, D. M. Anatomy, Pathology, and Classification of Aortic Dissection. Tech Vasc Interv Radiol 24, 100746 (2021).
doi: 10.1016/j.tvir.2021.100746
pubmed: 34602269
Ostberg, N. P., Zafar, M. A., Ziganshin, B. A. & Elefteriades, J. A. The Genetics of Thoracic Aortic Aneurysms and Dissection: A Clinical Perspective. Biomolecules 10, 182 (2020).
doi: 10.3390/biom10020182
pubmed: 31991693
pmcid: 7072177
Murad, M. H. et al. Comparative effectiveness of the treatments for thoracic aortic transaction. Journal of Vascular Surgery 53, 193–199.e21 (2011).
doi: 10.1016/j.jvs.2010.08.028
pubmed: 21035988
Xie, E. et al. Timing and Outcome of Endovascular Repair for Uncomplicated Type B Aortic Dissection. Eur J Vasc Endovasc Surg 61, 788–797 (2021).
doi: 10.1016/j.ejvs.2021.02.026
pubmed: 33846073
Zhong, J. et al. Technique-Based Evaluation of Clinical Outcomes and Aortic Remodelling Following TEVAR in Acute and Subacute Type B Aortic Dissection. Cardiovasc Intervent Radiol 44, 537–547 (2021).
doi: 10.1007/s00270-020-02749-2
pubmed: 33388868
Nassib, J., Hireche, K., Ozdemir, B. A., Alric, P. & Canaud, L. Fate of the Dissected Thoraco-Abdominal Aorta Distal to TEVAR (Thoracic Endovascular Aortic Repair) for Complicated Acute and Subacute Type B Aortic Dissection. J Endovasc Ther 29, 773–779 (2022).
doi: 10.1177/15266028211065964
pubmed: 34955055
Jafarinia, A. et al. Morphological parameters affecting false lumen thrombosis following type B aortic dissection: a systematic study based on simulations of idealized models. Biomech Model Mechanobiol 22, 885–904 (2023).
doi: 10.1007/s10237-023-01687-5
pubmed: 36630014
pmcid: 10167197
Agrafiotis, E. et al. Global and local stiffening of ex vivo-perfused stented human thoracic aortas: A mock circulation study. Acta Biomater 161, 170–183 (2023).
doi: 10.1016/j.actbio.2023.02.028
pubmed: 36849029
Baliga, R. R. et al. The role of imaging in aortic dissection and related syndromes. JACC Cardiovasc Imaging 7, 406–424 (2014).
doi: 10.1016/j.jcmg.2013.10.015
pubmed: 24742892
Shiga, T., Wajima, Z., Apfel, C. C., Inoue, T. & Ohe, Y. Diagnostic accuracy of transesophageal echocardiography, helical computed tomography, and magnetic resonance imaging for suspected thoracic aortic dissection: systematic review and meta-analysis. Arch Intern Med 166, 1350–1356 (2006).
doi: 10.1001/archinte.166.13.1350
pubmed: 16831999
Guo, J. et al. Thoracic Aorta Dimension Changes During Systole and Diastole: Evaluation with ECG-Gated Computed Tomography. Annals of Vascular Surgery 35, 168–173 (2016).
doi: 10.1016/j.avsg.2016.01.050
pubmed: 27263817
Batra, P. et al. Pitfalls in the Diagnosis of Thoracic Aortic Dissection at CT Angiography. RadioGraphics 20, 309–320 (2000).
doi: 10.1148/radiographics.20.2.g00mc04309
pubmed: 10715333
Kapustin, A. J. & Litt, H. I. Diagnostic Imaging for Aortic Dissection. Seminars in Thoracic and Cardiovascular Surgery 17, 214–223 (2005).
doi: 10.1053/j.semtcvs.2005.06.006
pubmed: 16253826
LePage, M. A., Quint, L. E., Sonnad, S. S., Deeb, G. M. & Williams, D. M. Aortic dissection: CT features that distinguish true lumen from false lumen. AJR Am J Roentgenol 177, 207–211 (2001).
doi: 10.2214/ajr.177.1.1770207
pubmed: 11418429
Pepe, A. et al. Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations. Comput Biol Med 165, 107365 (2023).
doi: 10.1016/j.compbiomed.2023.107365
pubmed: 37647783
Kan, X. et al. Patient-specific simulation of stent-graft deployment in type B aortic dissection: model development and validation. Biomech Model Mechanobiol 20, 2247–2258 (2021).
doi: 10.1007/s10237-021-01504-x
pubmed: 34431034
pmcid: 8595232
Biesdorf, A. et al. Model-based segmentation and motion analysis of the thoracic aorta from 4D ECG-gated CTA images. Med Image Comput Comput Assist Interv 14, 589–596 (2011).
pubmed: 22003666
Renapurkar, R. D. et al. Aortic volume as an indicator of disease progression in patients with untreated infrarenal abdominal aneurysm. Eur J Radiol 81, e87–93 (2012).
doi: 10.1016/j.ejrad.2011.01.077
pubmed: 21316893
Egger, J. et al. Studierfenster: an Open Science Cloud-Based Medical Imaging Analysis Platform. Journal of Digital Imaging 35, 340–355 (2022).
doi: 10.1007/s10278-021-00574-8
pubmed: 35064372
pmcid: 8782222
Lareyre, F. et al. A fully automated pipeline for mining abdominal aortic aneurysm using image segmentation. Sci Rep 9, 13750 (2019).
doi: 10.1038/s41598-019-50251-8
pubmed: 31551507
pmcid: 6760111
Barrett, J. F. & Keat, N. Artifacts in CT: Recognition and Avoidance. RadioGraphics 24, 1679–1691 (2004).
doi: 10.1148/rg.246045065
pubmed: 15537976
Fedorov, A. et al. 3D Slicer as an image computing platform for the Quantitative Imaging Network. Magn Reson Imaging 30, 1323–1341 (2012).
doi: 10.1016/j.mri.2012.05.001
pubmed: 22770690
pmcid: 3466397
You, Y. et al. Three-dimensional printing and 3D slicer powerful tools in understanding and treating neurosurgical diseases. Front Surg 9, 1030081 (2022).
doi: 10.3389/fsurg.2022.1030081
pubmed: 36311943
pmcid: 9614074
Lasso, A. et al. SlicerHeart: An open-source computing platform for cardiac image analysis and modeling. Front Cardiovasc Med 9, 886549 (2022).
doi: 10.3389/fcvm.2022.886549
pubmed: 36148054
pmcid: 9485637
Egger, J. et al. GBM Volumetry using the 3D Slicer Medical Image Computing Platform. Sci Rep 3, 1364 (2013).
doi: 10.1038/srep01364
pubmed: 23455483
pmcid: 3586703
Krissian, K., Malandain, G. & Ayache, N. Directional anisotropic diffusion applied to segmentation of vessels in 3D images. in Scale-Space Theory in Computer Vision (eds. ter Haar Romeny, B., Florack, L., Koenderink, J. & Viergever, M.) 345–348. https://doi.org/10.1007/3-540-63167-4_68 (Springer, 1997).
Radl, L. et al. AVT: Multicenter aortic vessel tree CTA dataset collection with ground truth segmentation masks. Data in Brief 40, 107801 (2022).
doi: 10.1016/j.dib.2022.107801
pubmed: 35059483
pmcid: 8760499
Mayer, C. et al. Aortic Dissection Dataset and Segmentations. Figshare. https://doi.org/10.6084/m9.figshare.22269091 (2024).
Gsaxner, C., Wallner, J., Chen, X., Zemann, W. & Egger, J. Facial model collection for medical augmented reality in oncologic cranio-maxillofacial surgery. Sci Data 6, 310 (2019).
doi: 10.1038/s41597-019-0327-8
pubmed: 31819060
pmcid: 6901520
Egger, J. et al. HTC Vive MeVisLab integration via OpenVR for medical applications. PloS One 12(3), e0173972 (2017).
doi: 10.1371/journal.pone.0173972
pubmed: 28323840
pmcid: 5360258
Ho, D., Squelch, A. & Sun, Z. Modelling of aortic aneurysm and aortic dissection through 3D printing. J Med Radiat Sci 64, 10–17 (2017).
doi: 10.1002/jmrs.212
pubmed: 28134482
pmcid: 5355365
Pepe, A. et al. Detection, segmentation, simulation and visualization of aortic dissections: A review. Medical image analysis 65, 101773 (2020).
doi: 10.1016/j.media.2020.101773
pubmed: 32738647