Publications by authors named "Alafandi A"
Dynamic susceptibility contrast (DSC) MRI is commonly part of brain tumor imaging. For quantitative analysis, measurement of the arterial input function and tissue concentration time curve is required. Usually, a linear relationship between the MR signal changes and contrast agent concentration ([Gd]) is assumed, even though this is a known simplification.
View Article and Find Full Text PDFBackground: We aimed to describe the microvascular features of three types of adult-type diffuse glioma by comparing dynamic susceptibility contrast (DSC) perfusion magnetic resonance imaging (MRI) with intraoperative high-frame-rate ultrafast Doppler ultrasound.
Methods: Case series of seven patients with primary brain tumours underwent both DSC perfusion MRI and intra-operative high-frame-rate ultrafast Doppler ultrasound. From the ultrasound images, three-dimensional vessel segmentation was obtained of the tumour vascular bed.
Article Synopsis
- Tumor growth models can predict how gliomas develop over time in individual patients, utilizing MRI and DTI to understand cell infiltration patterns along white matter tracts.
- This research introduces a ranking approach to evaluate tumor growth models using average precision (AP), which simplifies the evaluation of spatial tumor patterns without needing a volume cut-off.
- The study demonstrates that DTI-informed anisotropic diffusion models significantly enhance the prediction of recurrent tumor shapes post-surgery compared to isotropic models, with all related code and data publicly accessible.
Purpose: We retrospectively evaluated the association between postoperative pre-radiotherapy tumour burden and overall survival (OS) adjusted for the prognostic value of O-methylguanine DNA methyltransferase (MGMT) promoter methylation in patients with newly diagnosed glioblastoma treated with radio-/chemotherapy with temozolomide.
Materials And Methods: Patients were included from the CENTRIC (EORTC 26071-22072) and CORE trials if postoperative magnetic resonance imaging scans were available within a timeframe of up to 4weeks before radiotherapy, including both pre- and post-contrast T1w images and at least one T2w sequence (T2w or T2w-FLAIR). Postoperative (residual) pre-radiotherapy contrast-enhanced tumour (CET) volumes and non-enhanced T2w abnormalities (NT2A) tissue volumes were obtained by three-dimensional segmentation.
Article Synopsis
- Machine learning can work well, but it often struggles to make accurate predictions on new data, which is called out-of-sample generalizability.
- To solve this problem, researchers are using a method called Federated ML that allows computers to share information about how well they're learning without actually sharing the data itself.
- In a big study with 71 locations around the world, scientists created a model to help detect brain tumors more accurately, showing a significant improvement compared to older methods and hoping to help with rare illnesses and data sharing in healthcare.
The zebrafish embryo is a small, cheap, whole-animal model which may replace rodents in some areas of research. Unfortunately, zebrafish embryos are commonly cultured in microtitre plates using cell-culture protocols with static buffer replacement. Such protocols are highly invasive, consume large quantities of reagents and do not readily permit high-quality imaging.
View Article and Find Full Text PDFThe problems of preparation of different pharmaceutically compounded formulations of prescribed omeprazole suspensions are discussed. Problems that can be cited are: inadequate preparation, chemical and physical stability problems, taste problems and low bioavailability. The formulation of the omeprazole suspension is optimized, taking into account the cited problems.
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