AIMC Topic: Multiparametric Magnetic Resonance Imaging

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Current Trends in Artificial Intelligence Application for Endourology and Robotic Surgery.

The Urologic clinics of North America Nov 5, 2020
With the advent of electronic medical records and digitalization of health care over the past 2 decades, artificial intelligence (AI) has emerged as an enabling tool to manage complex datasets and deliver streamlined data-driven patient care. AI algo...
Endoscopy Male Image Processing, Computer-Assisted Prostatic Neoplasms Humans Artificial Intelligence Algorithms Prognosis History, 20th Century Urologic Diseases Urologic Surgical Procedures Multiparametric Magnetic Resonance Imaging Robotic Surgical Procedures Urinary Tract History, 21st Century Optical Imaging
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Oropharyngeal squamous cell carcinoma: radiomic machine-learning classifiers from multiparametric MR images for determination of HPV infection status.

Scientific reports Oct 16, 2020
We investigated the ability of machine-learning classifiers on radiomics from pre-treatment multiparametric magnetic resonance imaging (MRI) to accurately predict human papillomavirus (HPV) status in patients with oropharyngeal squamous cell carcinom...
Aged Aged, 80 and over Adult Male Humans Machine Learning Retrospective Studies Female Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Regression Analysis Area Under Curve Middle Aged ROC Curve Computational Biology Papillomavirus Infections Papillomaviridae Oropharyngeal Neoplasms Multiparametric Magnetic Resonance Imaging
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Prospective Validation of Vesical Imaging-Reporting and Data System Using a Next-Generation Magnetic Resonance Imaging Scanner-Is Denoising Deep Learning Reconstruction Useful?

The Journal of urology Oct 6, 2020
PURPOSE: The Vesical Imaging Reporting and Data System (VI-RADS) was launched in 2018 to standardize reporting of magnetic resonance imaging for bladder cancer. This study aimed to prospectively validate VI-RADS using a next-generation magnetic reson...
Aged, 80 and over Research Design Male Prospective Studies Deep Learning Predictive Value of Tests Humans Female Urinary Bladder Neoplasms Noise Aged Carcinoma, Transitional Cell 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.
Treatment Outcome Robotics Prostatic Neoplasms Robotic Surgical Procedures Prostatectomy Margins of Excision Seminal Vesicles Multiparametric Magnetic Resonance Imaging Humans Male Postoperative Complications
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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.
ROC Curve Predictive Value of Tests Area Under Curve Neoplasm Grading Image Interpretation, Computer-Assisted Preoperative Care Meningioma Meningeal Neoplasms Female Reproducibility of Results Male Middle Aged Humans Multiparametric Magnetic Resonance Imaging Machine Learning Retrospective Studies
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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
Lymphoma Central Nervous System Multiparametric Magnetic Resonance Imaging Humans Deep Learning Image Processing, Computer-Assisted
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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 Artificial Intelligence Adenocarcinoma Algorithms Prostatic Neoplasms Humans Retrospective Studies Observer Variation Aged Random Allocation 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...
Radiotherapy Planning, Computer-Assisted Humans Multiparametric Magnetic Resonance Imaging Neural Networks, Computer 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...
Area Under Curve Treatment Outcome Algorithms Prostatic Neoplasms Humans Support Vector Machine Retrospective Studies Aged, 80 and over Prostatectomy Prostate Cluster Analysis Diffusion Magnetic Resonance Imaging Machine Learning Adult Biopsy Principal Component Analysis Reproducibility of Results Multiparametric Magnetic Resonance Imaging Male Aged Middle Aged
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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.
Multiparametric Magnetic Resonance Imaging Retrospective Studies Humans Deep Learning Magnetic Resonance Imaging Central Nervous System
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