AIMC Topic: Multiparametric Magnetic Resonance Imaging

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Technical Refinements in Superextended Robot-assisted Radical Prostatectomy for Locally Advanced Prostate Cancer Patients at Multiparametric Magnetic Resonance Imaging.

European urology Sep 14, 2020
BACKGROUND: The feasibility and efficacy of robot-assisted radical prostatectomy (RARP) in locally advanced prostate cancer (PCa) patients with iT3 lesion at magnetic resonance imaging (MRI) are currently not explored.
Humans Male Postoperative Complications Prostatectomy Treatment Outcome Margins of Excision Seminal Vesicles Robotics Multiparametric Magnetic Resonance Imaging Prostatic Neoplasms Robotic Surgical Procedures
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Machine learning-based radiomics analysis in predicting the meningioma grade using multiparametric MRI.

European journal of radiology Aug 28, 2020
PURPOSE: To investigate the prediction performance of radiomic models based on multiparametric MRI in predicting the meningioma grade.
Reproducibility of Results Male Middle Aged ROC Curve Machine Learning Retrospective Studies Female Preoperative Care Meningioma Meningeal Neoplasms Multiparametric Magnetic Resonance Imaging Predictive Value of Tests Area Under Curve Neoplasm Grading Image Interpretation, Computer-Assisted Humans
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Editorial for: "Primary Central Nervous System Lymphoma: Clinical Evaluation of Automated Segmentation on Multiparametric MRI Using Deep Learning".

Journal of magnetic resonance imaging : JMRI Aug 7, 2020
Humans Deep Learning Image Processing, Computer-Assisted Lymphoma Central Nervous System Multiparametric Magnetic Resonance Imaging
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Multicenter Multireader Evaluation of an Artificial Intelligence-Based Attention Mapping System for the Detection of Prostate Cancer With Multiparametric MRI.

AJR. American journal of roentgenology Aug 5, 2020
The purpose of this study was to evaluate in a multicenter dataset the performance of an artificial intelligence (AI) detection system with attention mapping compared with multiparametric MRI (mpMRI) interpretation in the detection of prostate cance...
Multiparametric Magnetic Resonance Imaging Adenocarcinoma Prostatic Neoplasms Observer Variation Humans Random Allocation Artificial Intelligence Algorithms Retrospective Studies Aged Sensitivity and Specificity Male Middle Aged Diagnosis, Computer-Assisted
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Convolutional neural networks for head and neck tumor segmentation on 7-channel multiparametric MRI: a leave-one-out analysis.

Radiation oncology (London, England) Jul 29, 2020
BACKGROUND: Automatic tumor segmentation based on Convolutional Neural Networks (CNNs) has shown to be a valuable tool in treatment planning and clinical decision making. We investigate the influence of 7 MRI input channels of a CNN with respect to t...
Humans Radiotherapy Planning, Computer-Assisted Neural Networks, Computer Multiparametric Magnetic Resonance Imaging Head and Neck Neoplasms
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Comparison of machine learning algorithms to predict clinically significant prostate cancer of the peripheral zone with multiparametric MRI using clinical assessment categories and radiomic features.

European radiology Jul 16, 2020
OBJECTIVES: To analyze the performance of radiological assessment categories and quantitative computational analysis of apparent diffusion coefficient (ADC) maps using variant machine learning algorithms to differentiate clinically significant versus...
Multiparametric Magnetic Resonance Imaging Prostate Biopsy Prostatectomy Diffusion Magnetic Resonance Imaging Aged Principal Component Analysis Aged, 80 and over Area Under Curve Adult Prostatic Neoplasms Male Middle Aged Treatment Outcome Support Vector Machine Cluster Analysis Machine Learning Algorithms Retrospective Studies Reproducibility of Results Humans
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Primary Central Nervous System Lymphoma: Clinical Evaluation of Automated Segmentation on Multiparametric MRI Using Deep Learning.

Journal of magnetic resonance imaging : JMRI Jul 13, 2020
BACKGROUND: Precise volumetric assessment of brain tumors is relevant for treatment planning and monitoring. However, manual segmentations are time-consuming and impeded by intra- and interrater variabilities.
Humans Retrospective Studies Deep Learning Magnetic Resonance Imaging Central Nervous System Multiparametric Magnetic Resonance Imaging
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A deep learning methodology for improved breast cancer diagnosis using multiparametric MRI.

Scientific reports Jun 29, 2020
Multiparametric magnetic resonance imaging (mpMRI) has been shown to improve radiologists' performance in the clinical diagnosis of breast cancer. This machine learning study develops a deep transfer learning computer-aided diagnosis (CADx) methodolo...
Diagnosis, Computer-Assisted Aged Multiparametric Magnetic Resonance Imaging Humans Adult Deep Learning Breast Neoplasms Retrospective Studies Breast Middle Aged Female Image Interpretation, Computer-Assisted
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Clinico-radiological characteristic-based machine learning in reducing unnecessary prostate biopsies of PI-RADS 3 lesions with dual validation.

European radiology Jun 10, 2020
OBJECTIVE: To evaluate machine learning-based classifiers in detecting clinically significant prostate cancer (PCa) with Prostate Imaging Reporting and Data System (PI-RADS) score 3 lesions.
Multiparametric Magnetic Resonance Imaging Validation Studies as Topic Image-Guided Biopsy Unnecessary Procedures Male Humans Middle Aged Radiography Ultrasonography Machine Learning Reproducibility of Results Logistic Models Prostatic Neoplasms ROC Curve Retrospective Studies Aged Prostate-Specific Antigen Support Vector Machine Aged, 80 and over Prostate Decision Trees Area Under Curve
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Deep-Learning-Based Artificial Intelligence for PI-RADS Classification to Assist Multiparametric Prostate MRI Interpretation: A Development Study.

Journal of magnetic resonance imaging : JMRI Jun 1, 2020
BACKGROUND: The Prostate Imaging Reporting and Data System (PI-RADS) provides guidelines for risk stratification of lesions detected on multiparametric MRI (mpMRI) of the prostate but suffers from high intra/interreader variability.
Male Deep Learning Magnetic Resonance Imaging Prostatic Neoplasms Multiparametric Magnetic Resonance Imaging Humans Artificial Intelligence Retrospective Studies
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