AIMC Journal:
European journal of radiology

Showing 281 to 290 of 296 articles

A deep learning radiomics model for preoperative grading in meningioma.

European journal of radiology May 1, 2019
OBJECTIVES: To noninvasively differentiate meningioma grades by deep learning radiomics (DLR) model based on routine post-contrast MRI.
Adult Sensitivity and Specificity Male Middle Aged Deep Learning Female Reproducibility of Results Aged Young Adult Neoplasm Grading Humans Preoperative Care Meningioma Algorithms Meningeal Neoplasms Prognosis Meninges Retrospective Studies Adolescent Cohort Studies Magnetic Resonance Imaging Area Under Curve
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Prediction of molecular subtypes of breast cancer using BI-RADS features based on a "white box" machine learning approach in a multi-modal imaging setting.

European journal of radiology Mar 21, 2019
PURPOSE: To develop and validate an interpretable and repeatable machine learning model approach to predict molecular subtypes of breast cancer from clinical metainformation together with mammography and MRI images.
Machine Learning Retrospective Studies Female Adult Breast Neoplasms Humans Middle Aged Neoplasm Staging Gene Expression Regulation, Neoplastic Multimodal Imaging Predictive Value of Tests
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Multi-parametric MRI-based radiomics signature for discriminating between clinically significant and insignificant prostate cancer: Cross-validation of a machine learning method.

European journal of radiology Mar 15, 2019
PURPOSE: To evaluate the performance of a multi-parametric MRI (mp-MRI)-based radiomics signature for discriminating between clinically significant prostate cancer (csPCa) and insignificant PCa (ciPCa).
Retrospective Studies Aged Sensitivity and Specificity Male ROC Curve Humans Machine Learning Algorithms Magnetic Resonance Imaging Prostatic Neoplasms Neoplasm Grading
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The present and future of deep learning in radiology.

European journal of radiology Mar 2, 2019
The advent of Deep Learning (DL) is poised to dramatically change the delivery of healthcare in the near future. Not only has DL profoundly affected the healthcare industry it has also influenced global businesses. Within a span of very few years, ad...
Delivery of Health Care Quality of Life Deep Learning Radiology Radiologists Humans Artificial Intelligence Forecasting
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Qualitative versus quantitative lumbar spinal stenosis grading by machine learning supported texture analysis-Experience from the LSOS study cohort.

European journal of radiology Feb 19, 2019
PURPOSE: To investigate and compare the reproducibility and accuracy of qualitative ratings and quantitative texture analysis (TA) in detection and grading of lumbar spinal stenosis (LSS) in magnetic resonance imaging (MR) scans of the lumbar spine.
Reference Standards Aged, 80 and over Male Middle Aged Cohort Studies Magnetic Resonance Imaging Lumbar Vertebrae Spinal Stenosis Outcome Assessment, Health Care Algorithms Observer Variation Female Reproducibility of Results Aged Humans Machine Learning
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Efficacy and safety of CT-guided high-dose-rate interstitial brachytherapy in primary and secondary malignancies of the pancreas.

European journal of radiology Dec 28, 2018
PURPOSE: To evaluate efficacy and safety of CT-guided iBT in patients with primary and secondary malignancies of the pancreas.
Middle Aged Aged Brachytherapy Treatment Outcome Aged, 80 and over Neoplasms, Second Primary Humans Pancreatic Neoplasms Adult Radiography, Interventional Retrospective Studies Neoplasm Recurrence, Local Male Radiotherapy Dosage Tomography, X-Ray Computed Female
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A machine learning approach for distinguishing uterine sarcoma from leiomyomas based on perfusion weighted MRI parameters.

European journal of radiology Nov 13, 2018
PURPOSE: To propose a computer-assisted method for distinguishing uterine sarcoma from leiomyomas based on perfusion weighted magnetic resonance imaging (PWI).
Uterine Neoplasms Female Leiomyoma Reproducibility of Results Adult Sensitivity and Specificity Middle Aged Image Processing, Computer-Assisted Humans Magnetic Resonance Imaging Machine Learning Diagnosis, Differential Sarcoma
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Machine learning based on multi-parametric magnetic resonance imaging to differentiate glioblastoma multiforme from primary cerebral nervous system lymphoma.

European journal of radiology Sep 14, 2018
PURPOSE: To evaluate the performance of a machine learning method based on texture features in multi-parametric magnetic resonance imaging (MRI) to differentiate a glioblastoma multiforme (GBM) from a primary cerebral nervous system lymphoma (PCNSL).
Machine Learning Brain Retrospective Studies Female Aged Adult Brain Neoplasms Male Middle Aged Humans ROC Curve Diagnosis, Differential Logistic Models Glioblastoma Lymphoma Image Enhancement Magnetic Resonance Imaging
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On differentiation between vasogenic edema and non-enhancing tumor in high-grade glioma patients using a support vector machine classifier based upon pre and post-surgery MRI images.

European journal of radiology Jul 20, 2018
PURPOSE: High grade gliomas (HGGs) are infiltrative in nature. Differentiation between vasogenic edema and non-contrast enhancing tumor is difficult as both appear hyperintense in T-W/FLAIR images. Most studies involving differentiation between vasog...
Brain Edema Humans Postoperative Period Brain Brain Neoplasms Retrospective Studies Preoperative Care Male Glioma Middle Aged Support Vector Machine Magnetic Resonance Imaging Diagnosis, Differential ROC Curve Image Processing, Computer-Assisted Female Aged Young Adult Adult
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The past, present and future role of artificial intelligence in imaging.

European journal of radiology Jun 22, 2018
Artificial intelligence (AI) is already widely employed in various medical roles, and ongoing technological advances are encouraging more widespread use of AI in imaging. This is partly driven by the recognition of the significant frequency and clini...
Radiographic Image Interpretation, Computer-Assisted Radiology Information Systems Humans Artificial Intelligence Software Reproducibility of Results Radiology
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