A5027599686- Advances in Oncology and Radiotherapy
- Digital Radiography and Breast Imaging
- Global Cancer Incidence and Screening
- Artificial Intelligence in Healthcare and Education
- Breast Lesions and Carcinomas
- Palliative Care and End-of-Life Issues
- Delphi Technique in Research
- Interdisciplinary Research and Collaboration
- Patient Satisfaction in Healthcare
- Radiation Dose and Imaging
- Breast Cancer Treatment Studies
- AI in cancer detection
- Patient-Provider Communication in Healthcare
- Electronic Health Records Systems
- Cancer survivorship and care
- MRI in cancer diagnosis
- Colorectal Cancer Surgical Treatments
Radboud University Nijmegen
2021-2024
Radboud University Medical Center
2021-2024
University Medical Center
2021-2024
Radboud Institute for Molecular Life Sciences
2021
Objectives This project aims to model an optimal scanning environment for breast magnetic resonance imaging (MRI) screening based on real-life data identify what extent the logistics of MRI can be optimized. Materials and Methods A novel concept a facility was developed considering layout building, workflow steps, used resources, protocols. The envisioned is person centered efficient workflow-oriented design. Real-life data, collected from existing workflows, during 62 scans in 3 different...
Evaluation of a multilevel implementation program on shared decision making (SDM) for breast cancer clinicians.The was based the 'Measurement Instrument Determinants Innovations-model' (MIDI). Key factors effective were included. Eleven teams selected from two geographical areas participated; first six surgery and second five systemic therapy teams. A mixed method evaluation carried out at end each period: Descriptive statistics used surveys thematic content analysis semi-structured...
Purpose: The aim of the study was to map current organization, and document potential improvement points breast cancer multidisciplinary team meetings (MDTMs), in order support optimization present MDTM organization. Methods: From January 2019 February 2021, 24 core members (MDT) three hospitals were interviewed. Semi-structured interviews performed based on an interview guide. All recorded transcribed verbatim. Deductive coding transcripts by two independent researchers. codes organized...
Background Although DBT is the standard initial imaging modality for women with focal breast symptoms, importance of ultrasound has grown rapidly in past decades. Therefore, Breast UltraSound Trial (BUST) focused on assessing diagnostic value and digital tomosynthesis (DBT) evaluation symptoms by reversing order imaging; first performing followed DBT. This side-study BUST evaluates patients’ perceptions a reversed setting. Methods After imaging, 1181/1276 participants completed survey...
Background: AI-driven clinical decision support systems (CDSSs) hold promise for multidisciplinary team meetings (MDTMs). This study aimed to uncover the hurdles and aids in implementing CDSSs during breast cancer MDTMs. Methods: Twenty-four core members from three hospitals engaged semi-structured interviews, revealing a collective interest experiencing CDSS workflows practice. All interviews were audio recorded, transcribed verbatim analyzed anonymously. A standardized approach, ‘the...