Impact of contrast injection and stent-graft implantation on reproducibility of volume measurements in semiautomated segmentation of abdominal aortic aneurysm on computed tomography

Morin-Roy, Florence; Kauffmann, Claude; Tang, An; Hadjadj, Sandra; Thomas, Olivier; Piché, Nicolas; Elkouri, Stéphane; Yang, Dan; Thérasse, Éric; Soulez, Gilles

doi:10.1007/s00330-014-3175-0

Cited by 7 publications

(2 citation statements)

References 24 publications

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“…Although this was still classified as excellent agreement, this small discrepancy may be due to the vascular outlet of the right subclavian artery, which may be partially included in the measurement depending on the slice of acquisition. The results of this study are in line with previously reported inter-reader agreements of ICC > 0.82, including studies that segmented abdominal aortic diameters [ 1 , 16 , 17 , 18 , 19 , 20 ]. However, compared to these studies, there was no observer bias regarding average diameters observed for the segmentation tool or the readers [ 1 , 21 ]; this is in contrast to a study by Asch et al in which ICC decreased to 0.73–0.85 among the thoracic segments of the aorta when measurements were compared between clinical centers and core laboratories with standardized measuring protocols [ 22 , 23 ].…”

Section: Discussionsupporting

confidence: 92%

Assessing the Accuracy of an Artificial Intelligence-Based Segmentation Algorithm for the Thoracic Aorta in Computed Tomography Applications

et al. 2022

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The aim was to evaluate the accuracy of a prototypical artificial intelligence-based algorithm for automated segmentation and diameter measurement of the thoracic aorta (TA) using CT. One hundred twenty-two patients who underwent dual-source CT were retrospectively included. Ninety-three of these patients had been administered intravenous iodinated contrast. Images were evaluated using the prototypical algorithm, which segments the TA and determines the corresponding diameters at predefined anatomical locations based on the American Heart Association guidelines. The reference standard was established by two radiologists individually in a blinded, randomized fashion. Equivalency was tested and inter-reader agreement was assessed using intra-class correlation (ICC). In total, 99.2% of the parameters measured by the prototype were assessable. In nine patients, the prototype failed to determine one diameter along the vessel. Measurements along the TA did not differ between the algorithm and readers (p > 0.05), establishing equivalence. Inter-reader agreement between the algorithm and readers (ICC ≥ 0.961; 95% CI: 0.940–0.974), and between the readers was excellent (ICC ≥ 0.879; 95% CI: 0.818–0.92). The evaluated prototypical AI-based algorithm accurately measured TA diameters at each region of interest independent of the use of either contrast utilization or pathology. This indicates that the prototypical algorithm has substantial potential as a valuable tool in the rapid clinical evaluation of aortic pathology.

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Section: Discussionsupporting

confidence: 92%

Assessing the Accuracy of an Artificial Intelligence-Based Segmentation Algorithm for the Thoracic Aorta in Computed Tomography Applications

et al. 2022

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“…The labeling provided by the mapping may be useful for surgical navigation [169]. Semiautomated volumetry of abdominal aortic aneurysms on CT has also been reported [170]. …”

Section: Blood Vessels: Abdominal Atherosclerosis and Vessel Mappingmentioning

confidence: 99%

Progress in Fully Automated Abdominal CT Interpretation

Summers

2016

American Journal of Roentgenology

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OBJECTIVE Automated analysis of abdominal CT has advanced markedly over just the last few years. Fully automated assessment of organs, lymph nodes, adipose tissue, muscle, bowel, spine, and tumors are some examples where tremendous progress has been made. Computer-aided detection of lesions has also improved dramatically. CONCLUSION This article reviews the progress and provides insights into what is in store in the near future for automated analysis for abdominal CT, ultimately leading to fully automated interpretation.

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Low baseline and subsequent higher aortic abdominal aneurysm FDG uptake are associated with poor sac shrinkage post endovascular repair

Marie

Plissonnier

Bravetti

et al. 2017

Eur J Nucl Med Mol Imaging

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Impact of contrast injection and stent-graft implantation on reproducibility of volume measurements in semiautomated segmentation of abdominal aortic aneurysm on computed tomography

Abstract: • AAA volumetry by semiautomated segmentation is accurate on CT following endovascular repair. • AAA volumetry by semiautomated segmentation is accurate on unenhanced CT. • Standardization of the segmentation technique maximizes the reproducibility of volume measurements.

Cited by 7 publications

References 24 publications

Assessing the Accuracy of an Artificial Intelligence-Based Segmentation Algorithm for the Thoracic Aorta in Computed Tomography Applications

Assessing the Accuracy of an Artificial Intelligence-Based Segmentation Algorithm for the Thoracic Aorta in Computed Tomography Applications

Progress in Fully Automated Abdominal CT Interpretation

Low baseline and subsequent higher aortic abdominal aneurysm FDG uptake are associated with poor sac shrinkage post endovascular repair

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