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Tytuł:
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[Automated Estimation of Stenosis Severity in Coronary Computed Tomography Angiography].
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Autorzy:
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Hu SX; Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.
Peng WL; Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.
Zhou X; Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.
Li L; Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.
Zhang JG; Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.
Liu KL; Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.
Xu X; Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.
Xia CC; Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.
Li ZL; Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.
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Źródło:
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Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition [Sichuan Da Xue Xue Bao Yi Xue Ban] 2019 Jul; Vol. 50 (4), pp. 571-576.
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Typ publikacji:
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Journal Article
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Język:
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Chinese
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Imprint Name(s):
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Original Publication: Chengdu Shi : Sichuan da xue xue bao (yi xue ban) bian ji bu, 2003-
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MeSH Terms:
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Computed Tomography Angiography*
Coronary Angiography*
Coronary Stenosis/*diagnostic imaging
Angiography, Digital Subtraction ; Humans ; Retrospective Studies ; Sensitivity and Specificity
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Contributed Indexing:
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Keywords: Coronary artery stenosis; Coronary computed tomography angiography; Software automated detection
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Entry Date(s):
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Date Created: 20191024 Date Completed: 20191114 Latest Revision: 20200108
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Update Code:
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20240104
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PMID:
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31642238
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Objective: To determine the value of automated detection in computed tomography angiography (CTA) for cases with greater than 70% coronary stenosis.
Methods: Fifty-seven patients who had both coronary CTA and digital subtraction angiography (DSA) were retrospectively recruited in this study. The patients were categorized into two groups using a cutoff value of 70% stenosis in DSA. The AW4.6 software was used to estimate the diameter and square values from the data obtained from CTA. The sensitivity (SE), specificity (SPE), positive predictive value (PPV) and negative predictive value (NPV) of the automated CTA estimations were calculated.
Results: A total of 178 vessels from the 57 patients were analyzed. The automated CTA estimations had moderate to high levels of agreements ( Kappa value: 0.716-0.804, P < 0.001) with the DSA diagnoses, compared with low to moderate levels of agreements ( Kappa value: 0.385-0.533, P < 0.001) in manual interpretations. The square estimations generated high SE (100%) and NPV (100%) for patient diagnoses ( P < 0.016 7 vs. manual interpretations). The diameter estimations generated high SPE (90.48%) and PPV (94.12%) for patient diagnoses ( P < 0.016 7, vs. manual interpretations). Similarly, high SE (96.92%) and NPV (97.89%) were found for square estimations in vessel diagnoses, while high SPE (94.69%) and PPV (90.16%) were found for diameter estimations in vessel diagnoses.
Conclusions: Both automated diameter and square algorithms have high accuracy for diagnosing patients with greater than 70% coronary artery stenosis. The AW4.6 can improve the detection of severe stenosis that needs stent interventions.
(Copyright© by Editorial Board of Journal of Sichuan University (Medical Science Edition).)
