A5072249743- Prostate Cancer Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- Radiology practices and education
- Radiation Dose and Imaging
- Prostate Cancer Treatment and Research
- MRI in cancer diagnosis
- Advanced X-ray and CT Imaging
- Artificial Intelligence in Healthcare and Education
- Ultrasound in Clinical Applications
- Urologic and reproductive health conditions
- Medical Imaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Renal and Vascular Pathologies
- Clinical Reasoning and Diagnostic Skills
- Medical Malpractice and Liability Issues
- AI in cancer detection
- Radiopharmaceutical Chemistry and Applications
- Sarcoma Diagnosis and Treatment
- Urological Disorders and Treatments
- Medical Imaging and Analysis
- Patient-Provider Communication in Healthcare
- COVID-19 diagnosis using AI
- Renal Transplantation Outcomes and Treatments
- Healthcare cost, quality, practices
- Diversity and Career in Medicine
University Medical Center Groningen
2018-2025
University of Groningen
2018-2025
The Netherlands Cancer Institute
2023-2025
Oncode Institute
2024-2025
Dutch Cancer Society
2024
Norwegian Womens Public Health Association
2024
Dialyse Centrum Groningen
2019-2023
RELX Group (United States)
2022
Imaging Center
2018
Radboud University Nijmegen
2007-2016
Undetected cancer in repeat transrectal ultrasound guided prostate biopsies patients with increased specific antigen greater than 4 ng/ml is a considerable concern. We investigated the tumor detection rate of suspicious regions on multimodal 3 Tesla magnetic resonance imaging and subsequent biopsy 68 men negative biopsies. compared results to those matched population. Also, we determined clinical significance detected tumors.A total 71 consecutive 2 or sessions underwent imaging. In this was...
To retrospectively compare transition zone (TZ) cancer detection and localization accuracy of 3-T T2-weighted magnetic resonance (MR) imaging with that multiparametric (MP) MR imaging, radical prostatectomy specimens as the reference standard.The informed consent requirement was waived by institutional review board. Inclusion criteria were specimen TZ larger than 0.5 cm(3) endorectal presurgery MP (T2-weighted diffusion-weighted [DW] apparent diffusion coefficient [ADC] maps [b < 1000...
Abstract Objectives To present a framework to develop and implement fast-track artificial intelligence (AI) curriculum into an existing radiology residency program, with the potential prepare new generation of AI conscious radiologists. Methods The AI-curriculum comprises five sequential steps: (1) forming team experts, (2) assessing residents’ knowledge level needs, (3) defining learning objectives, (4) matching these objectives effective teaching strategies, finally (5) implementing...
Abstract Objectives The patients’ view on the implementation of artificial intelligence (AI) in radiology is still mainly unexplored territory. aim this article to develop and validate a standardized patient questionnaire AI radiology. Methods Six domains derived from previous qualitative study were used questionnaire, cognitive interviews as pretest method. One hundred fifty-five patients scheduled for CT, MRI, and/or conventional radiography filled out questionnaire. To find underlying...
ObjectiveTo investigate the general population's view on use of artificial intelligence (AI) for diagnostic interpretation screening mammograms.MethodsDutch women aged 16 to 75 years were surveyed using Longitudinal Internet Studies Social sciences panel, representative Dutch population. Attitude toward AI in mammography was measured by means five items: necessity a human check; as selector second reading; reader; developer is responsible error; and radiologist error.ResultsOf 922...
We calculated carbon emissions associated with air travel of 4,834 participants at the 2019 annual conference American Society Tropical Medicine and Hygiene (ASTMH). Together, traveled a total 27.7 million miles or 44.6 kilometers. This equates to 58 return trips moon. Estimated dioxide equivalent (CO2e) were 8,646 metric tons weekly footprint approximately 9,366 average households. These contribute climate change thus may exacerbate many global diseases that attendees seek combat. Options...
To investigate the general population's view on artificial intelligence (AI) in medicine with specific emphasis 3 areas that have experienced major progress AI research past few years, namely radiology, robotic surgery, and dermatology.For this prospective study, April 2020 Online Longitudinal Internet Studies for Social Sciences Panel Wave was used. Of 3117 For The panel members contacted, 2411 completed full questionnaire (77.4% response rate), after combining data from earlier waves,...
Purpose To assess the feasibility of using a remote-controlled, pneumatically actuated magnetic resonance (MR)-compatible robotic device to aid transrectal biopsy prostate performed with real-time 3-T MR imaging guidance. Materials and Methods This prospective study was approved by ethics review board, written informed consent obtained from all patients. Twelve consecutive men who were clinically suspected having cancer had history at least one ultrasonography (US)–guided negative results...
Abstract Objectives To create a radiomics approach based on multiparametric magnetic resonance imaging (mpMRI) features extracted from an auto-fixed volume of interest (VOI) that quantifies the phenotype clinically significant (CS) peripheral zone (PZ) prostate cancer (PCa). Methods This study included 206 patients with 262 prospectively called mpMRI reporting and data system 3–5 PZ lesions. Gleason scores > 6 were defined as CS PCa. Features 12-mm spherical VOI placed around pin point in...
In prostate cancer (PCa), questions remain on indications for prostate-specific membrane antigen (PSMA) positron emission tomography (PET) imaging and PSMA radioligand therapy, integration of advanced in nomogram-based decision-making, dosimetry, development new theranostic applications. We aimed to critically review developments molecular hybrid systemic reach a multidisciplinary consensus the current state art PCa. The results systematic literature search informed two-round Delphi process...
Deep learning (DL) MRI reconstruction enables fast scan acquisition with good visual quality, but the diagnostic impact is often not assessed because of large reader study requirements. This used existing DL to assess quality reconstructed images.
To evaluate the accuracy and speed of a novel robotic technique as an aid to perform magnetic resonance image (MRI)-guided prostate biopsies on patients with cancer suspicious regions. A pneumatic controlled MR-compatible manipulator 5 degrees freedom was developed in-house guide under real-time imaging. From 13 consecutive biopsy procedures, targeting error, error target displacement were calculated accuracy. The time recorded manipulation procedure time. manual techniques demonstrated...
To assess the feasibility of magnetic resonance (MR) imaging-guided focal cryoablation in patients with locally recurrent prostate cancer after radiation therapy.This was a prospective study, and informed consent obtained from all patients. Ten consecutive histopathologically proved therapy, without evidence distant metastases, were treated while under general anesthesia 1.5-T MR unit. A urethral warmer inserted. Cryoneedles transperineally inserted real-time imaging. Then, rectal Ice ball...
Nearly one third of patients undergoing neoadjuvant chemoradiotherapy (nCRT) for locally advanced esophageal cancer have a pathologic complete response (pCR) the primary tumor upon histopathological evaluation resection specimen. The aim this study is to develop model that predicts probability pCR nCRT in cancer, based on diffusion-weighted magnetic resonance imaging (DW-MRI), dynamic contrast-enhanced (DCE-MRI) and 18F-fluorodeoxyglucose positron emission tomography with computed (18F-FDG...
The purpose of this study was to evaluate in a multicenter dataset the performance an artificial intelligence (AI) detection system with attention mapping compared multiparametric MRI (mpMRI) interpretation prostate cancer.
Deep learning has been proven to be able stage liver fibrosis based on contrast-enhanced CT images. However, until now, the algorithm is used as a black box and lacks transparency. This study aimed provide visual-based explanation of diagnostic decisions made by deep learning.The staging network (LFS network) was developed at images in portal venous phase 252 patients with histologically stage. To give visual LFS network, Gradient-weighted Class Activation Mapping (Grad-cam) produce location...
The objective of this study was to assess the feasibility combination magnetic resonance (MR)-guided biopsy (MRGB) and diagnostic 3T MR imaging in localization local recurrence prostate cancer (PCa) after external beam radiation therapy (EBRT).Twenty-four consecutive men with biochemical failure suspected initial EBRT were enrolled prospectively study. All patients underwent a examination prostate. T2-weighted dynamic contrast-enhanced images (DCE-MRI) acquired. Two radiologists evaluated...