Objectives: To determine the value of preoperative magnetic resonance imaging (MRI) in predicting macrotrabecular-massive hepatocellular carcinoma (MTM-HCC).
Materials And Methods: A search was conducted on PubMed, Web of Science, Cochrane Library databases, and Embase for studies evaluating the performance of MRI in assessing MTM-HCC. The quality assessment of diagnostic studies (QUADAS-2) tool was used to assess the risk of bias.
Chem Commun (Camb)
January 2025
Herein, we present a highly efficient allylic substitution of carbonates with Grignard reagents using a reusable cellulose-supported nanocopper catalyst. This approach highlights the first instance of heterogeneous catalysis for the cross-coupling of allylic alcohol substrates with Grignard reagents. The method features high yields, excellent regioselectivity, and complete chirality transfer.
View Article and Find Full Text PDFBackground: Sepsis is a life-threatening disease associated with a high mortality rate, emphasizing the need for the exploration of novel models to predict the prognosis of this patient population. This study compared the performance of traditional logistic regression and machine learning models in predicting adult sepsis mortality.
Objective: To develop an optimum model for predicting the mortality of adult sepsis patients based on comparing traditional logistic regression and machine learning methodology.
Radiotherapy has long been recognized as an effective conventional approach in both clinical and scientific research, primarily through mechanisms involving DNA destruction or the generation of reactive oxygen species to target tumors. However, significant challenges persist, including the unavoidable damage to normal tissues and the development of radiation resistance. As a result, nanotechnology-based radiotherapy has garnered considerable attention for its potential to enhance precision in irradiation, improve radiosensitization, and achieve therapeutic advancements.
View Article and Find Full Text PDFThe risk of poor surgical site healing in patients with spinal tuberculosis due to infection is known to be higher than in other surgical patients. Early identification and diagnosis are critical if we are to reduce the disability and mortality associated with spinal tuberculosis. We aimed to develop and validate a novel predictive score for predicting the risk of poor surgical site healing in patients following surgical procedure for spinal tuberculosis.
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