
I am a nuclear medicine specialist and always trying to implement innovative diagnostic and therapeutic methods in imaging. My main research interests involve infectious and inflammatory diseases, tumor-immunology, and development of new-targeted diagnostic tools for PET imaging. The latter focus is carried out in close collaboration with our radiochemists. Within the lymphoma research Groningen team we have a close collaboration with the department of hematology. The research is focused on finding new methods for diagnosis and therapy evaluation in several types of lymphomas. We have a special interest in post-transplant lymphatic disorders (PTLD). Furthermore, we are developing and evaluating several fields of radionuclide therapy, so called theranostics.
Molecular imaging techniques, such as HER2-PET, FES-PET, and FDG-PET, provide a way to analyze tumor characteristics throughout the body. These scans can help identify treatment targets, detect non-responders early, and reduce reliance on invasive biopsies. RNA sequencing also offers insights into the genetic makeup of rare breast cancer types, opening doors to more precise treatment strategies.
Research has shown that molecular imaging can predict treatment response and track disease progression. For instance, FES-PET accurately determines ER status in metastases, while HER2-PET identifies variations in HER2 expression within a patient. These techniques can guide the use of targeted therapies and help avoid ineffective treatments. Patients also report a lower burden with PET scans compared to biopsies.
Studies into inflammatory breast cancer—a rare and aggressive form—highlighted the importance of comprehensive treatment, showing better outcomes for those receiving chemotherapy, surgery, and radiotherapy as recommended. Despite challenges, this research increased awareness and demonstrated the feasibility of a national registry for rare cancers.
Overall, advancements in molecular imaging and personalized approaches offer hope for more effective and less invasive breast cancer treatments.
An overview of infective endocarditis, its history, diagnosis, and treatment challenges introduces the thesis. Subsequent chapters examine the indications for of [18F]FDG PET/CT for suspected infective endocarditis and the need for standardisation of this technique; the benefits of motion corrected FDG PET/CT for improved image quality, and the significance of mediastinal lymph node activity – which was unfortunately unreliable as an indicator for endocarditis.
The thesis also includes a systematic review and meta-analysis on [18F]FDG PET/CT for infections involving Left Ventricular Assist Devices (LVADs), highlighting its high sensitivity and specificity for these infection. They include a proposal for standardizing diagnostic criteria for LVAD infections.
The effectiveness of [18F]FDG PET/CT’s was also evaluated in a two-centre cohort study, emphasizing the complementary role of semi-quantitative analysis next to visual analysis in accurately identifying LVAD infections.
Finally, it presents a proof-of-concept on using machine learning to enhance the modified Duke criteria’s predictive power for endocarditis. These models showed promising results, though they would require careful further validation before clinical implementation could be considered.
Breast cancer is the most common type of cancer diagnosed in women. Some of these women will develop distant metastases. The clinical course of the disease depends on the expression of hormone receptors. Whole-body PET imaging can be of added value. The estrogen receptor is expressed by the large majority of breast cancers, and can be visualized by means of [18F]-FES-PET. This scan can help to solve clinical dilemmas that may remain after standard workup, such as determining the extent of metastatic disease, unclear estrogen receptor status of the tumor, and inability to determine which primary tumor caused the metastases. In addition, we conclude that fasting, which is less patient-friendly, is not necessary to improve the quality of the [18F]-FES-PET scan. We have also constructed a flowchart for assessment of the estrogen receptor status of liver metastases with [18F]-FES-PET/CT.
The [18F]-FES-PET scan can also be combined with [18F]-FDG-PET to determine estrogen receptor heterogeneity. The tumor estrogen receptor heterogeneity percentage may potentially identify the patients who benefit from the treatment with aromatase inhibitor letrozole and the CDK 4/6 inhibitor palbociclib. [18F]-FDG-PET is also a useful tool to detect metastases, including invasive lobular carcinomas.
Like the estrogen receptor, the androgen receptor is another potential endocrine target in breast cancer. This receptor could be visualized by [18F]-FDHT-PET and changes in [18F]-FDHT uptake during androgen receptor antagonist bicalutamide treatment can be detected.