European radiology
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Computed tomography (CT) and magnetic resonance imaging (MRI) are the most commonly selected methods for imaging gliomas. Clinically, radiotherapists always delineate the CT glioma region with reference to multi-modal MR image information. On this basis, we develop a deep feature fusion model (DFFM) guided by multi-sequence MRIs for postoperative glioma segmentation in CT images. ⋯ • A fully automated deep learning method was developed to segment postoperative gliomas on CT images guided by multi-sequence MRIs. • CT and multi-sequence MR image integration allows for improvements in deep learning postoperative glioma segmentation method. • This deep feature fusion model produces reliable segmentation results and could be useful in delineating GTV in postoperative glioma radiotherapy planning.
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To present a deep learning-based approach for semi-automatic prostate cancer classification based on multi-parametric magnetic resonance (MR) imaging using a 3D convolutional neural network (CNN). ⋯ • Prostate cancer classification using a deep learning model is feasible and it allows direct processing of MR sequences without prior lesion segmentation. • Prostate cancer classification performance as measured by AUC is comparable to that of an experienced radiologist. • Perfusion MR images (K-trans), followed by DWI and ADC, have the highest effect on the overall performance; whereas T2w images show hardly any improvement.
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Observational Study
Effects of sirolimus in lymphangioleiomyomatosis patients on lung cysts and pulmonary function: long-term follow-up observational study.
To determine whether sirolimus has beneficial effects on lymphangioleiomyomatosis (LAM) lung cysts in CT with long-term follow-up (FU) and to investigate whether CT is an appropriate imaging biomarker to monitor and evaluate LAM progression. ⋯ • Qualitative analysis showed a total of 15.8% to 21.1% of patients had a reduced lung cyst volume after sirolimus treatment, and in quantitative analysis, there was no significant difference in lung cyst volume between CT at the start of sirolimus therapy and the last CT. • Pulmonary function was also improved or maintained after sirolimus treatment. • Chest CT could be a useful imaging biomarker for evaluating and monitoring lung cysts in patients with lymphangioleiomyomatosis.
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This study aims to evaluate ultrafast DCE-MRI-derived kinetic parameters that reflect contrast agent inflow effects in differentiating between subcentimeter BI-RADS 4-5 breast carcinomas and benign lesions. ⋯ • Ultrafast DCE-MRI can generate kinetic parameters, effectively differentiating breast carcinomas from benign lesions. • Subcentimeter carcinomas demonstrated significantly larger maximum slope and shorter bolus arrival time than benign lesions. • Maximum slope and bolus arrival time contribute to better management of suspicious subcentimeter breast lesions.
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Multicenter Study
Gadoxetic acid-enhanced MRI as a predictor of recurrence of HCC after liver transplantation.
To investigate the value of preoperative gadoxetic acid-enhanced MRI for tumor staging and recurrence prediction of hepatocellular carcinoma (HCC) after primary liver transplantation (LT). ⋯ • Lesions beyond the Milan criteria and peritumoral hypointensity on hepatobiliary phase (HBP) were independent predictors of HCC recurrence. • Peritumoral hypointensity on HBP significantly associated with a worse tumor grade and microvascular invasion.