A5007949808- Global Cancer Incidence and Screening
- AI in cancer detection
- Radiomics and Machine Learning in Medical Imaging
- Breast Cancer Treatment Studies
- MRI in cancer diagnosis
- Digital Radiography and Breast Imaging
- Cardiac Imaging and Diagnostics
- Advanced MRI Techniques and Applications
- Industrial Vision Systems and Defect Detection
- Colorectal Cancer Screening and Detection
- Radiation Dose and Imaging
- Gastroesophageal reflux and treatments
- Ultrasound and Hyperthermia Applications
- Esophageal and GI Pathology
- Esophageal Cancer Research and Treatment
Radboud University Nijmegen
2021-2024
Radboud University Medical Center
2021-2024
University Medical Center
2021-2024
UiT The Arctic University of Norway
2021
University of California, Santa Barbara
2021
Karolinska Institutet
2021
Karolinska University Hospital
2021
University of Twente
2021
Cancer Registry of Norway
2021
University of Warwick
2021
Background Mammographic background characteristics may stimulate human visual adaptation, allowing radiologists to detect abnormalities more effectively. However, it is unclear whether density, or another image characteristic, drives adaptation. Purpose To investigate screening performance improves when mammography examinations are ordered for batch reading according mammographic that promote Materials and Methods This retrospective multireader multicase study was performed with mammograms...
Abstract Background This study aimed to examine the association between preoperative magnetic resonance imaging (MRI) and surgical margin involvement, as well determine factors associated with positive resection margins in screen-detected breast cancer patients undergoing breast-conserving surgery (BCS). Methods Breast eligible for BCS diagnosed after biennial screening mammography south of The Netherlands (2008–2017) were retrospectively included. Missing values imputed multivariable...
Problem solving magnetic resonance imaging (MRI) is used to exclude malignancy in women with equivocal findings on conventional imaging. However, recommendations its use for recalled after screening are lacking. This study evaluates the impact of problem MRI diagnostic workup among from Dutch program, as well time trends and inter-hospital variation use.Women who were at mammography South Netherlands (2008-2017) included. Two-year follow-up data collected. Diagnostic-workup accuracy...
Abstract In Western populations, the incidence of oesophageal squamous cell carcinoma (OSCC) has been declining, whereas adenocarcinoma (OAC) increasing. Our study examines temporal trends in cancer Netherlands between 1989 and 2016, addition to predicting future through 2041. Data from Cancer Registry Statistics were collected obtain OSCC OAC for period 2016. Age‐period‐cohort (APC) modelling was used estimate contribution age, calendar birth cohort on observed trends. To predict numbers...
PurposeWe developed a segmentation method suited for both raw (for processing) and processed presentation) digital mammograms (DMs) that is designed to generalize across images acquired with systems from different vendors the two standard screening views.ApproachA U-Net was trained segment into background, breast, pectoral muscle. Eight datasets, including previously published public sets six of DMs as many vendors, were used, totaling 322 screen film (SFMs) 4251 (2821 raw/processed pairs...
Dynamic myocardial computed tomography perfusion (CTP) is a novel imaging technique that increases the applicability of CT for cardiac imaging; however, scanning requires substantial radiation dose.
Background Despite variation in performance characteristics among radiologists, the pairing of radiologists for double reading screening mammograms is performed randomly. It unknown how to optimize improve performance. Purpose To investigate whether radiologist can be used determine optimal set pairs read improved accuracy. Materials and Methods This retrospective study was with outcomes from breast cancer programs Sweden (2008-2015), England (2012-2014), Norway (2004-2018). Cancer detection...
We aim to investigate if ordering mammograms based on texture features promotes visual adaptation, allowing observers more correctly and/or rapidly detect abnormalities in screening mammograms, thereby improving performance. A fully-crossed, multi-reader multi-case evaluation with 150 (1:1, positive:negative) and 10 radiologists was performed test three different orders of mammograms. The were either randomly ordered, ordered by Volpara density (low high), or a self-supervised learning (SSL)...
Double reading of screening mammograms, a feature many breast cancer programs, is impacted by interactions between the two image readers. In this work, we describe how bivariate binormal (BVBN) model, originally developed for statistical analysis reader studies, can be used to analyze double mammograms. The model posits normal distributions that distribution latent decision variables readers and non-cancer cases. BVBN allows estimation correlation coefficients readers, independent...
Purpose To develop a model that simulates radiologist assessments and use it to explore whether pairing readers based on their individual performance characteristics could optimize screening performance. Methods Logistic regression models were designed used assessments. For evaluation, model-predicted metrics paired disagreement rates compared against the observed data using Pearson correlation coefficients. The logistic subsequently simulate different programs with reader true-positive...
Performance characteristics of mammography readers influenced the performance pairs, but specific pairing strategies did not result in significantly different overall compared to that resulting from random strategies. Key results: Retrospective data (3,592,414 exams) three population-based breast cancer screening programs (Sweden, England, and Norway) showed variation detection abnormal interpretation rates among radiologists. pairs radiologists was by what types individual were involved....