Accuracy of fully automated iliac artery tortuosity measurements in patients with abdominal aortic aneurysm using deep learning
European Journal of Radiology, vol. 195, pp. 112609
Abstract
OBJECTIVE: To externally validate the accuracy of deep learning-based iliac artery tortuosity assessment (PRAEVAorta 2, Bordeaux, France) in computed tomography angiography of patients with abdominal aortic aneurysms. DESIGN: Retrospective, multi-center validation study. METHODS: Data from the ZEnith alPHa for aneurYsm Repair Registry (ZEPHYR) were used. Tortuosity measurements from PRAEVAorta 2 were benchmarked against manual reference measurements from an internationally recognized core laboratory (Syntactx, New York, USA). All PRAEVAorta 2 reports were visually inspected by two observers for plausibility of the segmentation of the iliac arteries. Scans with obvious segmentation errors were excluded. Qualitative and quantitative analysis of potential risk factors for segmentation failures were conducted. The core laboratory performed manual tortuosity measurements using standard multiplanar reconstructions. RESULTS: In total, 270 CTA scans from the ZEPHYR database fulfilled the inclusion criteria and were available for analysis. 21.1 % of scans demonstrated obvious segmentation errors upon initial review and were excluded from this analysis. Most common risk factors for segmentation failure were internal iliac artery occlusions and overlapping aneurysms in the distal infrarenal aorta and proximal common iliac arteries. In the remaining 213 scans, the median iliac tortuosity measured by the core laboratory was 1.34 (IQR 1.23-1.45) while PRAEVAorta 2 reported a median tortuosity of 1.25 (IQR 1.19-1.33). The analysis showed an excellent Pearson correlation of 0.95 (95 % CI: 0.94-0.96) with a moderate to good Intraclass Correlation (ICC) of 0.73 (95 % CI: 0.69-0.77) and a bias of -0.09 in Bland-Altman analysis. CONCLUSION: PRAEVAorta 2 successfully provided fully automated measurements of the iliac artery tortuosity in most cases, highlighting its potential as a valuable tool for both research and clinical applications. However, a critical review of automatically provided reports by an experienced observer remains essential.
Authors 28
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Alexandru Barb corresponding
Heidelberg University · University Hospital Heidelberg
Affiliation as printed
Department of Vascular and Endovascular Surgery, University Hospital Heidelberg, Im Neuenheimer Feld 420, 69120 Heidelberg, Germany. Electronic address: Alexandru.Barb@med.uni-heidelberg.de
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Affiliation as printed
Department of Vascular Surgery, RWTH Aachen, Templergraben 55, 52062 Aachen, Germany. Electronic address: ChristianUhl@gmx.at
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Louisa Bornhak corresponding
Heidelberg University · University Hospital Heidelberg
Affiliation as printed
Department of Vascular and Endovascular Surgery, University Hospital Heidelberg, Im Neuenheimer Feld 420, 69120 Heidelberg, Germany. Electronic address: Louisa.Bornhak@med.uni-heidelberg.de
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Edris El‐Sanosy corresponding
Heidelberg University · University Hospital Heidelberg
Affiliation as printed
Department of Vascular and Endovascular Surgery, University Hospital Heidelberg, Im Neuenheimer Feld 420, 69120 Heidelberg, Germany. Electronic address: Edris.el-sanosy@gmx.de
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Matthias Fink corresponding
Heidelberg University · University Hospital Heidelberg
Affiliation as printed
Clinic for Diagnostic and Interventional Radiology, University Hospital Heidelberg, Im Neuenheimer Feld 420, 69120 Heidelberg, Germany. Electronic address: Matthias.fink@uni-heidelberg.de
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Dittmar Böckler corresponding
Heidelberg University · University Hospital Heidelberg
Affiliation as printed
Department of Vascular and Endovascular Surgery, University Hospital Heidelberg, Im Neuenheimer Feld 420, 69120 Heidelberg, Germany. Electronic address: Dittmar.Boeckler@med.uni-heidelberg.de
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Johannes Hatzl corresponding
Heidelberg University · University Hospital Heidelberg
Affiliation as printed
Department of Vascular and Endovascular Surgery, University Hospital Heidelberg, Im Neuenheimer Feld 420, 69120 Heidelberg, Germany. Electronic address: Johannes.hatzl@med.uni-heidelberg.de
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Amsterdam University Medical Centers · Amsterdam Cardiovascular Sciences
Affiliation as printed
Department of Vascular Surgery, Amsterdam UMC, Location VU Medical Center, Amsterdam Cardiovascular Sciences, Amsterdam, Netherlands (the)
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Affiliation as printed
Department of Vascular Surgery, Maasstad Hospital, Rotterdam, Netherlands (the)
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Paracelsus Medizinische Privatuniversität
Affiliation as printed
Department of Vascular and Endovascular Surgery, Paracelsus Medical University, Nuremberg, Germany
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Affiliation as printed
Department of Vascular and Thoracic Surgery, Ziekenhuis Oost-Limburg, Genk, Belgium
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University Medical Center Hamburg-Eppendorf
Affiliation as printed
German Aortic Center Hamburg, Department of Vascular Medicine, University Medical Center Eppendorf, Hamburg, Germany
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Affiliation as printed
Departments of Vascular Surgery and Interventional Radiology, Haga Hospital, The Hague, Netherlands (the)
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Affiliation as printed
Department of Angiology, University Hospital Leipzig, Leipzig, Germany
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Affiliation as printed
Department of Vascular and Thoracic Surgery, Imelda Hospital, Bonheiden, Belgium
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Maastricht University Medical Centre
Affiliation as printed
Department of Vascular Surgery, Maastricht University Medical Centre, Maastricht, Netherlands (the)
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Affiliation as printed
Department of Vascular Surgery, Ghent University Hospital, Ghent, Belgium
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Düsseldorf University Hospital · Heinrich Heine University Düsseldorf
Affiliation as printed
Department of Vascular and Endovascular Surgery, Heinrich-Heine-University Medical Center Düsseldorf, Düsseldorf, Germany
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Affiliation as printed
Department of Vascular Surgery, Catharina Hospital, Eindhoven, Netherlands (the)
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Amsterdam University Medical Centers · Amsterdam Cardiovascular Sciences
Affiliation as printed
Department of Vascular Surgery, Amsterdam UMC, Location VU Medical Center, Amsterdam Cardiovascular Sciences, Amsterdam, Netherlands (the)
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Affiliation as printed
Department of Vascular Surgery, Maasstad Hospital, Rotterdam, Netherlands (the)
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Affiliation as printed
Department of Vascular Surgery, Maasstad Hospital, Rotterdam, Netherlands (the)
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Paracelsus Medizinische Privatuniversität
Affiliation as printed
Department of Vascular and Endovascular Surgery, Paracelsus Medical University, Nuremberg, Germany
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Paracelsus Medizinische Privatuniversität
Affiliation as printed
Department of Vascular and Endovascular Surgery, Paracelsus Medical University, Nuremberg, Germany
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Paracelsus Medizinische Privatuniversität
Affiliation as printed
Department of Vascular and Endovascular Surgery, Paracelsus Medical University, Nuremberg, Germany
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Paracelsus Medizinische Privatuniversität
Affiliation as printed
Department of Vascular and Endovascular Surgery, Paracelsus Medical University, Nuremberg, Germany
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University Medical Center Hamburg-Eppendorf
Affiliation as printed
German Aortic Center Hamburg, Department of Vascular Medicine, University Medical Center Eppendorf, Hamburg, Germany
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Affiliation as printed
Section of Vascular and Endovascular Surgery, Klinikum Frankfurt Höchst, Frankfurt, Germany
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