Publications by authors named "R Grobholz"
Article Synopsis
- The study investigated the impact of statin use on prostate cancer (PCa) development and prostate-specific antigen (PSA) levels in a cohort of 4,314 men over nearly 10 years.
- Statin users (761 men) had significantly lower baseline and follow-up PSA levels compared to non-users, but the overall incidence of PCa was similar between the two groups, indicating statins did not reduce the risk of developing PCa.
- Additionally, statin users had a higher risk of overall mortality, suggesting that while they had lower PSA levels, statin use did not confer a protective effect against prostate cancer.
Neonatal diagnosis of inflammatory bowel disease (IBD) proves challenging due to its non-specific symptoms. A term-born neonate showing states of inflammation and aphthae was treated for sepsis and candidiasis before being diagnosed with interleukin-10 receptor deficiency and consecutive IBD. The patient was finally successfully treated by stem cell transplantation.
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- Gas gangrene is a serious infection caused by Clostridium bacteria, often resulting in rapid tissue death and requiring quick, multidisciplinary medical intervention.
- The case describes a 62-year-old woman with neutropenic fever from chemotherapy for breast cancer, who initially showed signs of cellulitis but deteriorated into septic shock despite antibiotic treatment.
- After extensive surgical intervention and adjustment of her antibiotics, the patient stabilized and was eventually discharged for rehabilitation, underscoring the diagnostic and therapeutic challenges associated with infections in immunocompromised individuals.
In this work, several machine learning (ML) algorithms, both classical ML and modern deep learning, were investigated for their ability to improve the performance of a pipeline for the segmentation and classification of prostate lesions using MRI data. The algorithms were used to perform a binary classification of benign and malignant tissue visible in MRI sequences. The model choices include support vector machines (SVMs), random decision forests (RDFs), and multi-layer perceptrons (MLPs), along with radiomic features that are reduced by applying PCA or mRMR feature selection.
View Article and Find Full Text PDFThe biopsy Gleason score is an important prognostic marker for prostate cancer patients. It is, however, subject to substantial variability among pathologists. Artificial intelligence (AI)-based algorithms employing deep learning have shown their ability to match pathologists' performance in assigning Gleason scores, with the potential to enhance pathologists' grading accuracy.
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