Publications by authors named "I Lupescu"
Background And Aims: Minimal hepatic encephalopathy (MHE) represents the mildest form of hepatic encephalopathy. MHE has been associated with impairment of quality of life and job performance, and is a major cause of premature retiring in cirrhotic patients. However, MHE is usually overlooked by most physicians, due to its asymptomatic nature.
View Article and Find Full Text PDFIdiopathic superior mesenteric vein (SMV) stenosis, where no clear causative factor is identifiable, remains a clinical rarity. We present a detailed case report of a patient with idiopathic stenosis of the SMV who underwent successful endovascular stenting. This report outlines the patient's clinical presentation, diagnostic imaging findings, procedural approach by the interventional radiology team, and subsequent management.
View Article and Find Full Text PDFMetastatic colorectal cancer requires a multidisciplinary and individualized approach. Herein, we reported the case of a young woman diagnosed with metastatic rectal cancer who received an individualized multimodal treatment strategy that resulted in a remarkable survival. There were several particular aspects of this case, such as the early onset of the disease, the successful use of conversion therapy, the application of liquid biopsy to guide treatment, and the specific nature of the bone metastasis.
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- Cerebral cavernous malformations (CCMs) are abnormal blood vessel formations that can be sporadic or familial due to genetic mutations in specific genes, leading to multiple lesions in patients.
- Symptoms can range from no noticeable issues to significant neurological problems, often tied to bleeding or seizures, and new research suggests that rapid growth in CCMs may result from a combination of three genetic mutations affecting certain cellular pathways.
- Ongoing clinical trials are exploring therapies, imaging techniques, and surgical methods aimed at improving treatment outcomes and reducing complications associated with CCMs.
Pancreatic ductal adenocarcinoma (PDAC) stands out as the predominant malignant neoplasm affecting the pancreas, characterized by a poor prognosis, in most cases patients being diagnosed in a nonresectable stage. Image-based artificial intelligence (AI) models implemented in tumor detection, segmentation, and classification could improve diagnosis with better treatment options and increased survival. This review included papers published in the last five years and describes the current trends in AI algorithms used in PDAC.
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