A5056084542- Ovarian cancer diagnosis and treatment
- Radiomics and Machine Learning in Medical Imaging
- Reproductive Biology and Fertility
- Ovarian function and disorders
- Endometrial and Cervical Cancer Treatments
- Inflammatory Bowel Disease
- Microscopic Colitis
- Intraperitoneal and Appendiceal Malignancies
- Assisted Reproductive Technology and Twin Pregnancy
- Lymphoma Diagnosis and Treatment
- Machine Learning in Healthcare
- Genetic factors in colorectal cancer
- Meta-analysis and systematic reviews
- Adolescent and Pediatric Healthcare
- Artificial Intelligence in Healthcare and Education
- Cancer Immunotherapy and Biomarkers
- Uterine Myomas and Treatments
- Ear and Head Tumors
- Neuroendocrine Tumor Research Advances
- Endometriosis Research and Treatment
- Acute Kidney Injury Research
- Chronic Kidney Disease and Diabetes
- Appendicitis Diagnosis and Management
- Salivary Gland Tumors Diagnosis and Treatment
- Renal cell carcinoma treatment
St James's University Hospital
2019-2025
Radboud University Nijmegen
1998-2022
Radboud University Medical Center
2010-2022
Amsterdam University Medical Centers
2019-2022
Australia New Zealand Gynaecological Oncology Group
2020
Leeds Teaching Hospitals NHS Trust
2020
University of California, San Diego
2016
Hôpitaux Universitaires Henri-Mondor
2016
University Medical Center
2004-2015
Isala
2014
In a randomized multicenter study, the efficacies of two different GnRH agonists were compared with that hCG for triggering final stages oocyte maturation after ovarian hyperstimulation in vitro fertilization. Ovarian stimulation was conducted by recombinant FSH (Puregon), and antagonist ganirelix (Orgalutran) coadministered prevention premature LH rise. Luteal support provided daily progestin administration. Frequent blood sampling performed at midcycle first 47 eligible subjects included...
In Brief Background: Incisional hernia is one of the most frequent postoperative complications after abdominal surgery. Patients with an aortic aneurysm and patients a body mass index 27 or higher have increased risk to develop incisional hernia. Primary mesh augmentation method in which wall strengthened reduce incidence. This study focused on short-term results PRImary Mesh Closure Abdominal Midline Wounds trial, multicenter double blind randomized controlled trial. Methods: Between 2009...
Abstract Background The foundation of modern ovarian cancer care is cytoreductive surgery to remove all macroscopic disease (R0). Identification R0 resection patients may help individualise treatment. Machine learning and AI have been shown be effective systems for classification prediction. For a as heterogenous cancer, they could potentially outperform conventional predictive algorithms routine clinical use. We investigated the performance an system, k -nearest neighbor ( -NN) classifier,...
(1) Background: Surgical cytoreduction for epithelial ovarian cancer (EOC) is a complex procedure. Encompassed within the performance skills to achieve surgical precision, intra-operative decision-making remains core feature. The use of eXplainable Artificial Intelligence (XAI) could potentially interpret influence human factors on effort cytoreductive outcome in question; (2) Methods: retrospective cohort study evaluated 560 consecutive EOC patients who underwent surgery between January...
Complete surgical cytoreduction (R0 resection) is the single most important prognosticator in epithelial ovarian cancer (EOC). Explainable Artificial Intelligence (XAI) could clarify influence of static and real-time features R0 resection prediction. We aimed to develop an AI-based predictive model for outcome, apply a methodology explain prediction, evaluate interpretability by analysing feature interactions. The retrospective cohort finally assessed 571 consecutive advanced-stage EOC...
Objective Prognosis in women with ovarian cancer mainly depends on International Federation of Gynecology and Obstetrics stage the ability to perform optimal cytoreductive surgery. Since has a heterogeneous presentation clinical course, predicting progression‐free survival (PFS) overall (OS) individual patient is difficult. The objective this study was determine predictors PFS OS advanced epithelial (EOC) after primary surgery first‐line platinum‐based chemotherapy. Design Retrospective...
Background: The Peritoneal Carcinomatosis Index (PCI) and the Intra-operative Mapping for Ovarian Cancer (IMO), to a lesser extent, have been universally validated in advanced-stage epithelial ovarian cancer (EOC) describe extent of peritoneal dissemination are proven be powerful predictors surgical outcome with an added sensitivity assessment at laparotomy around 70%. This leaves room improvement because two-dimensional anatomic scoring model fails reflect patient’s real anatomy, as seen by...
Background/Objectives: The incidence of acute kidney injury (AKI) following advanced epithelial ovarian cancer (EOC) surgery has not been extensively studied. This study aimed to investigate the AKI and identify preoperative intraoperative predictors in patients undergoing EOC cytoreduction using both traditional statistics Artificial Intelligence (AI) modelling. Methods: Retrospective data were collected for 134 with a suspected or confirmed diagnosis (FIGO Stage III–IV) who underwent...
The advancement of natural language processing (NLP) technologies has transformed various sectors. However, their application in the healthcare domain, particularly for analysing clinical notes, remains underdeveloped. We investigated use deep neural networks, specifically transformer-based models, to predict intraoperative and postoperative outcomes related advanced-stage epithelial ovarian cancer cytoreduction (aEOC) using unstructured surgical notes. evaluated performance RoBERTa, a...
Background/Objectives: The advancement of natural language processing (NLP) technologies has transformed various sectors. However, their application in the healthcare domain, particularly for analysing clinical notes, remains underdeveloped. We investigated use deep neural networks, specifically transformer-based models, to predict intraoperative and post-operative outcomes related advanced-stage epithelial ovarian cancer cytoreduction (aEOC) using unstructured surgical notes. Methods:...
Sporadic medullary thyroid carcinoma (MTC) and pheochromocytoma (PC) have been reported to be associated with some specific RET gene mutations. To assess the role of in development MTC PC, we screened 14 sporadic MTC, two MTC-derived cell lines, 5 sporatic PC cases mutations by a systematic analysis whole coding sequence, including all intron-exon junctions. In only 6 were able detect mutation. Apart from MET918-->Thr mutation cases, found 3-bp deletion exon 11, present tumor, another case....
Accurate prediction of patient prognosis can be especially useful for the selection best treatment protocols. Machine Learning serve this purpose by making predictions based upon generalizable clinical patterns embedded within learning datasets. We designed a study to support feature 2-year prognostic period and compared performance several algorithms accurate estimation in advanced-stage high grade serous ovarian cancer (HGSOC) patients.The was formulated as binary classification problem....
Eight microsatellite markers for the root vole (Microtus oeconomus) were developed to assess amount of genetic variation nine Dutch populations from four different regions, and evaluate degree differentiation isolation. All eight loci found be highly variable with observed heterozygosity values ranging 0.61 0.82. These are similar those more distant Norway, Finland Germany. Therefore, seem not particularly depauperate at level. Genetically, have diverged considerably. Pairwise comparisons...