Treatment of very high risk membranous nephropathy complicated by pulmonary embolism with glucocorticoids and rituximab: Case report.

Rationale: We report the efficacy of combination prednisolone and intravenous (IV) rituximab as an immunosuppressive regimen for a young male presenting with extensive venous thromboembolism including a submassive pulmonary embolism secondary to life-threatening nephrotic syndrome from very high risk anti-phospholipase-A2 receptor (PLA2R) positive membranous nephropathy. Initial treatment was with mechanical thrombectomy and anticoagulation. Thereafter, oral prednisolone was initiated to induce remission, during a period of uninterrupted anticoagulation.

Case report: Xanthogranulomatous pyelonephritis successfully treated with antibiotics.

Xanthogranulomatous inflammation (XGI) is an uncommon benign inflammatory disease process characterized by aggregation of lipid laden foamy macrophages, among other inflammatory cells. XGI affecting the kidney and renal pelvis is otherwise known as xanthogranulomatous pyelonephritis (XGP), which has been reported to be present in approximately 5% of all reported xanthogranulomatous cases. The clinical relevance of this disease is that it often mimics malignancy, and preoperative imaging is unable to differentiate between the two.

Platelet TLR7 is essential for the formation of platelet-neutrophil complexes and low-density neutrophils in lupus nephritis.

Objectives: Platelets and low-density neutrophils (LDNs) are major players in the immunopathogenesis of SLE. Despite evidence showing the importance of platelet-neutrophil complexes (PNCs) in inflammation, little is known about the relationship between LDNs and platelets in SLE. We sought to characterize the role of LDNs and Toll-like receptor 7 (TLR7) in clinical disease.

Comparison of quantitative parameters and radiomic features as inputs into machine learning models to predict the Gleason score of prostate cancer lesions.

Introduction: The classification of prostate cancer (PCa) lesions using Prostate Imaging Reporting and Data System (PI-RADS) suffers from poor inter-reader agreement. This study compared quantitative parameters or radiomic features from multiparametric magnetic resonance imaging (mpMRI) or positron emission tomography (PET), as inputs into machine learning (ML) to predict the Gleason scores (GS) of detected lesions for improved PCa lesion classification.

Methods: 20 biopsy-confirmed PCa subjects underwent imaging before radical prostatectomy.