Publications by authors named "B H M van der Velden"
Accurate prediction of response to neoadjuvant chemotherapy (NAC) can help tailor treatment to individual patients' needs. Little is known about the combination of liquid biopsies and computer extracted features from multiparametric magnetic resonance imaging (MRI) for the prediction of NAC response in breast cancer. Here, we report on a prospective study with the aim to explore the predictive potential of this combination in adjunct to standard clinical and pathological information before, during and after NAC.
View Article and Find Full Text PDFObjective: In this review, we aim to provide an overview of literature on lymph node (LN) histomorphological features and their relationship with the prognosis in colorectal cancer (CRC).
Background: Lymph nodes play a crucial role in the treatment and prognosis of CRC. The presence of LN metastases considerably worsens the prognosis in CRC patients.
Article Synopsis
- Imaging markers of cerebral small vessel disease can provide insights into brain health, but their manual assessment is slow and has high variability among different evaluators.
- The VALDO challenge, held alongside the MICCAI 2021 conference, aimed to develop automated methods for detecting specific brain imaging markers, including enlarged perivascular spaces, cerebral microbleeds, and lacunes, using imperfect data.
- The results highlighted significant performance differences among 12 participating teams, showing promise for detecting enlarged perivascular spaces and microbleeds, but indicating that solutions for lacunes remain less effective for individual use despite potential benefits for population studies.
Background Automated identification of quantitative breast parenchymal enhancement features on dynamic contrast-enhanced (DCE) MRI scans could provide added value in assessment of breast cancer risk in women with extremely dense breasts. Purpose To automatically identify quantitative properties of the breast parenchyma on baseline DCE MRI scans and assess their association with breast cancer occurrence in women with extremely dense breasts. Materials and Methods This study represents a secondary analysis of the Dense Tissue and Early Breast Neoplasm Screening trial.
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