Abstract：
PURPOSE:To develop and evaluate the performance of a fully-automated convolutional neural network (CNN)-based algorithm to evaluate hepatobiliary phase (HBP) adequacy of gadoxetate disodium (EOB)-enhanced MRI. Secondarily, we explored the potential of the proposed CNN algorithm to reduce examination length by applying it to EOB-MRI examinations. METHODS:We retrospectively identified EOB-enhanced MRI-HBP series from examinations performed 2011-2018 (internal and external datasets). Our algorithm, comprising a liver segmentation and classification CNN, produces an adequacy score. Two abdominal radiologists independently classified series as adequate or suboptimal. The consensus determination of HBP adequacy was used as ground truth for CNN model training and validation. Reader agreement was evaluated with Cohen's kappa. Performance of the algorithm was assessed by receiver operating characteristics (ROC) analysis and computation of the area under the ROC curve (AUC). Potential examination duration reduction was evaluated descriptively. RESULTS:1408 HBP series from 484 patients were included. Reader kappa agreement was 0.67 (internal dataset) and 0.80 (external dataset). AUCs were 0.97 (0.96-0.99) for internal and 0.95 (0.92-96) for external and were not significantly different from each other (p = 0.24). 48 % (50/105) examinations could have been shorter by applying the algorithm. CONCLUSION:A proposed CNN-based algorithm achieves higher than 95 % AUC for classifying HBP images as adequate versus suboptimal. The application of this algorithm could potentially shorten examination time and aid radiologists in recognizing technically suboptimal images, avoiding diagnostic pitfalls.
journal_name
Eur J Radioljournal_title
European journal of radiologyauthors
Cunha GM,Hasenstab KA,Higaki A,Wang K,Delgado T,Brunsing RL,Schlein A,Schwartzman A,Hsiao A,Sirlin CB,Fowler KJdoi
10.1016/j.ejrad.2020.108837subject
Has Abstractpub_date
2020-03-01 00:00:00pages
108837eissn
0720-048Xissn
1872-7727pii
S0720-048X(20)30026-7journal_volume
124pub_type
杂志文章abstract：OBJECTIVE:To assess the effect of breast density, fibroglandular tissue volume, and breast volume on the rate of false-positive marks of a computer-assisted detection software in digital mammography. MATERIALS AND METHODS:222 patients with normal digital mammograms and a minimum follow-up of 22 months were retrospecti...
journal_title：European journal of radiology
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journal_title：European journal of radiology
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journal_title：European journal of radiology
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journal_title：European journal of radiology
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abstract：:The different features of 821 acoustic shadows recorded during abdominal US examinations were analysed to find out whether any of the features may be used in routine work to help to identify the often invisible structure casting the shadow. A constant shadow with closely spaced high level reverberation echoes is stron...
journal_title：European journal of radiology
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journal_title：European journal of radiology
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journal_title：European journal of radiology
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journal_title：European journal of radiology
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doi：
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abstract：BACKGROUND:Gliomas are the most common primary brain tumors in adults, in some cases, radiotherapy may be the preferred treatment option especially for elderly people who cannot endure surgery. Therefore, it is necessary to evaluate the effects of radiotherapy on glioma. Arterial spin labeling (ASL) is an MR imaging te...
journal_title：European journal of radiology
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journal_title：European journal of radiology
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journal_title：European journal of radiology
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journal_title：European journal of radiology
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