Deep-learning single-shot detector for automatic detection of brain metastases with the combined use of contrast-enhanced and non-enhanced computed tomography images

2021 ◽  
pp. 110015
Author(s):  
Hidemasa Takao ◽  
Shiori Amemiya ◽  
Shimpei Kato ◽  
Hiroshi Yamashita ◽  
Naoya Sakamoto ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Deep Learning ◽  
Brain Metastases ◽  
Automatic Detection ◽  
Single Shot ◽  
Computed Tomography Images ◽  
Contrast Enhanced ◽  
Combined Use ◽  
Enhanced Computed Tomography

Automatic detection of brain metastases on contrast-enhanced CT with deep-learning feature-fused single-shot detectors

2021 ◽  
Vol 136 ◽  
pp. 109577
Author(s):  
Shiori Amemiya ◽  
Hidemasa Takao ◽  
Shimpei Kato ◽  
Hiroshi Yamashita ◽  
Naoya Sakamoto ◽  
...  
Keyword(s):  
Deep Learning ◽  
Brain Metastases ◽  
Automatic Detection ◽  
Single Shot ◽  
Contrast Enhanced Ct ◽  
Contrast Enhanced ◽  
Enhanced Ct

scholarly journals e-ASPECTS software is non-inferior to neuroradiologists in applying the ASPECT score to computed tomography scans of acute ischemic stroke patients

2016 ◽  
Vol 12 (6) ◽  
pp. 615-622 ◽  
Author(s):  
Simon Nagel ◽  
Devesh Sinha ◽  
Diana Day ◽  
Wolfgang Reith ◽  
René Chapot ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Ischemic Stroke ◽  
Correlation Coefficients ◽  
Ground Truth ◽  
Stroke Patients ◽  
Computed Tomography Images ◽  
Contrast Enhanced ◽  
Enhanced Computed Tomography ◽  
Sensitivity Specificity ◽  
Contrast Enhanced Computed Tomography

Background The Alberta Stroke Program Early Computed Tomography Score (ASPECTS) is an established 10-point quantitative topographic computed tomography scan score to assess early ischemic changes. We performed a non-inferiority trial between the e-ASPECTS software and neuroradiologists in scoring ASPECTS on non-contrast enhanced computed tomography images of acute ischemic stroke patients. Methods In this multicenter study, e-ASPECTS and three independent neuroradiologists retrospectively and blindly assessed baseline non-contrast enhanced computed tomography images of 132 patients with acute anterior circulation ischemic stroke. Follow-up scans served as ground truth to determine the definite area of infarction. Sensitivity, specificity, and accuracy for region- and score-based analysis, receiver-operating characteristic curves, Bland-Altman plots and Matthews correlation coefficients relative to the ground truth were calculated and comparisons were made between neuroradiologists and different pre-specified e-ASPECTS operating points. The non-inferiority margin was set to 10% for both sensitivity and specificity on region-based analysis. Results In total 2640 (132 patients × 20 regions per patient) ASPECTS regions were scored. Mean time from onset to baseline computed tomography was 146 ± 124 min and median NIH Stroke Scale (NIHSS) was 11 (6–17, interquartile range). Median ASPECTS for ground truth on follow-up imaging was 8 (6.5–9, interquartile range). In the region-based analysis, two e-ASPECTS operating points (sensitivity, specificity, and accuracy of 44%, 93%, 87% and 44%, 91%, 85%) were statistically non-inferior to all three neuroradiologists (all p-values <0.003). Both Matthews correlation coefficients for e-ASPECTS were higher (0.36 and 0.34) than those of all neuroradiologists (0.32, 0.31, and 0.3). Conclusions e-ASPECTS was non-inferior to three neuroradiologists in scoring ASPECTS on non-contrast enhanced computed tomography images of acute stroke patients.

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