AIMC Topic: Image-Guided Biopsy

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Head-to-head comparison of biparametric versus multiparametric MRI of the prostate before robot-assisted transperineal fusion prostate biopsy.

World journal of urology Aug 4, 2022
PURPOSE: Prostate biparametric magnetic resonance imaging (bpMRI) including T2-weighted imaging (T2WI) and diffusion-weighted imaging (DWI) might be an alternative to multiparametric MRI (mpMRI, including dynamic contrast imaging, DCE) to detect and ...
Retrospective Studies Male Contrast Media Magnetic Resonance Imaging Humans Prostate Biopsy Image-Guided Biopsy Multiparametric Magnetic Resonance Imaging Robotics Prostatic Neoplasms Prostate-Specific Antigen
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A concurrent, deep learning-based computer-aided detection system for prostate multiparametric MRI: a performance study involving experienced and less-experienced radiologists.

European radiology Jul 28, 2022
OBJECTIVES: To evaluate the effect of a deep learning-based computer-aided diagnosis (DL-CAD) system on experienced and less-experienced radiologists in reading prostate mpMRI.
Male Image-Guided Biopsy Deep Learning Multiparametric Magnetic Resonance Imaging Magnetic Resonance Imaging Prostate Radiologists Prostatic Neoplasms Neoplasm Grading Computers Retrospective Studies Humans
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Pseudoprospective Paraclinical Interaction of Radiology Residents With a Deep Learning System for Prostate Cancer Detection: Experience, Performance, and Identification of the Need for Intermittent Recalibration.

Investigative radiology Apr 21, 2022
OBJECTIVES: The aim of this study was to estimate the prospective utility of a previously retrospectively validated convolutional neural network (CNN) for prostate cancer (PC) detection on prostate magnetic resonance imaging (MRI).
Retrospective Studies Male Deep Learning Magnetic Resonance Imaging Humans Image-Guided Biopsy Radiology Prostatic Neoplasms Prostate
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The ReIMAGINE prostate cancer risk study protocol: A prospective cohort study in men with a suspicion of prostate cancer who are referred onto an MRI-based diagnostic pathway with donation of tissue, blood and urine for biomarker analyses.

PloS one Feb 24, 2022
INTRODUCTION: The ReIMAGINE Consortium was conceived to develop risk-stratification models that might incorporate the full range of novel prostate cancer (PCa) diagnostics (both commercial and academic).
Image-Guided Biopsy Multiparametric Magnetic Resonance Imaging Biomarkers, Tumor Male Middle Aged Ultrasonography, Interventional Prostate Prostatic Neoplasms Neoplasm Grading Artificial Intelligence Risk Factors Aged Humans
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Characterizing breast masses using an integrative framework of machine learning and CEUS-based radiomics.

Journal of ultrasound Jan 17, 2022
AIMS: We evaluated the performance of contrast-enhanced ultrasound (CEUS) based on radiomics analysis to distinguish benign from malignant breast masses.
Machine Learning Retrospective Studies Female Lipids Humans Breast Image-Guided Biopsy
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Deep learning-based artificial intelligence applications in prostate MRI: brief summary.

The British journal of radiology Dec 3, 2021
Prostate cancer (PCa) is the most common cancer type in males in the Western World. MRI has an established role in diagnosis of PCa through guiding biopsies. Due to multistep complex nature of the MRI-guided PCa diagnosis pathway, diagnostic performa...
Image Interpretation, Computer-Assisted Image-Guided Biopsy Humans Male Prostatic Neoplasms Quality Improvement Deep Learning Magnetic Resonance Imaging
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Concurrently bendable and rotatable continuum tubular robot for omnidirectional multi-core transurethral prostate biopsy.

Medical & biological engineering & computing Nov 23, 2021
A transurethral prostate biopsy device is proposed in this paper, which can shoot a biopsy needle at different angles to take samples from multiple locations within the prostate. Firstly, the traditional prostate biopsy methods, including transrectal...
Humans Male Robotics Phantoms, Imaging Prostatic Neoplasms Prostate Image-Guided Biopsy Biopsy, Needle
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Deep learning-assisted prostate cancer detection on bi-parametric MRI: minimum training data size requirements and effect of prior knowledge.

European radiology Nov 16, 2021
OBJECTIVES: To assess Prostate Imaging Reporting and Data System (PI-RADS)-trained deep learning (DL) algorithm performance and to investigate the effect of data size and prior knowledge on the detection of clinically significant prostate cancer (csP...
Prostate Image-Guided Biopsy Multiparametric Magnetic Resonance Imaging Deep Learning Magnetic Resonance Imaging Prostatic Neoplasms Retrospective Studies Male Humans
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Optimization of clinical risk-factor interpretation and radiological findings with machine learning for PIRADS category 3 patients.

The Prostate Nov 15, 2021
BACKGROUND: Due to the low cancer-detection rate in patients with PIRADS category 3 lesions, we created machine learning (ML) models to facilitate decision-making about whether to perform prostate biopsies or monitor clinical information without biop...
Machine Learning Research Design Aged Risk Assessment Magnetic Resonance Imaging Sensitivity and Specificity Male Humans Public Reporting of Healthcare Data Prostate Prostatic Neoplasms Quality Improvement Prostate-Specific Antigen Image-Guided Biopsy Ultrasonography, Interventional Unnecessary Procedures
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Robotic Transrectal Computed Tomographic Ultrasound with Artificial Neural Network Analysis: First Validation and Comparison with MRI-Guided Biopsies and Radical Prostatectomy.

Urologia internationalis Aug 17, 2021
INTRODUCTION: There is still a lack of availability of high-quality multiparametric magnetic resonance imaging (mpMRI) interpreted by experienced uro-radiologists to rule out clinically significant PC (csPC). Consequently, we developed a new imaging ...
Male Image-Guided Biopsy Rectum Middle Aged Humans Prostatectomy Ultrasonography, Interventional Prostatic Neoplasms Neural Networks, Computer Retrospective Studies Robotic Surgical Procedures Tomography, X-Ray Computed Aged Aged, 80 and over Surgery, Computer-Assisted Magnetic Resonance Imaging, Interventional
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