MR Spectroscopy to Assess Muscle Mitochondrial Dysfunction in Long COVID

Report on the Use of MR Spectroscopy to Assess Muscle Mitochondrial Dysfunction in Long COVID Academic Background The COVID-19 pandemic has had a profound impact on global health, with many patients experiencing prolonged symptoms even after recovery, commonly referred to as “Long COVID” or “Post–COVID-19 Condition” (PCC). These symptoms include fa...

NACVI-RADS Scores for Assessing Muscle-Invasive Bladder Cancer Response to Neoadjuvant Immunotherapy with Multiparametric MRI

Academic Background Muscle-invasive bladder cancer (MIBC) is a highly aggressive malignancy. The standard treatment typically involves cisplatin-based neoadjuvant chemotherapy (NAC) or immunotherapy, followed by radical cystectomy (RC) and bilateral pelvic lymph node dissection. However, radical cystectomy significantly impacts patients’ quality of...

Osteochondral Abnormalities on Three-Dimensional Ultrashort Echo Time MRI Scans Are Associated with Knee Cartilage Degradation

Osteochondral Abnormalities on Three-Dimensional Ultrashort Echo Time MRI Scans Are Associated with Knee Cartilage Degradation Academic Background Osteoarthritis (OA) is the most prevalent musculoskeletal disease, characterized by pain and disability. A hallmark of OA is the progressive loss of articular hyaline cartilage, which connects to the sub...

CT- and MRI-Based Factors Associated with Rapid Growth in Early-Stage Hepatocellular Carcinoma

Imaging-Based Factors Associated with Rapid Growth in Early-Stage Hepatocellular Carcinoma Academic Background Hepatocellular carcinoma (HCC) is the most common primary liver cancer globally and the third leading cause of cancer-related mortality, with increasing incidence and mortality rates reported in North America, South America, and Europe. Al...

Evaluation of Multimodal Large Language Models' Accuracy in Interpreting Radiologic Images

Performance of Large Language Models in Radiology Image Interpretation: A Comparative Study with Human Readers Academic Background In recent years, large language models (LLMs) have demonstrated powerful capabilities in various fields, particularly in natural language processing. With the development of multimodal LLMs, these models can now handle ...