Deep learning-based radiomics allows for a more accurate assessment of sarcopenia as a prognostic factor in hepatocellular carcinoma / 浙江大学学报（英文版）（B辑：生物医学和生物技术）

Hepatocellular carcinoma (HCC) is one of the most common malignancies and is a major cause of cancer-related mortalities worldwide (Forner et al., 2018; He et al., 2023). Sarcopenia is a syndrome characterized by an accelerated loss of skeletal muscle (SM) mass that may be age-related or the result of malnutrition in cancer patients (Cruz-Jentoft and Sayer, 2019). Preoperative sarcopenia in HCC patients treated with hepatectomy or liver transplantation is an independent risk factor for poor survival (Voron et al., 2015; van Vugt et al., 2016). Previous studies have used various criteria to define sarcopenia, including muscle area and density. However, the lack of standardized diagnostic methods for sarcopenia limits their clinical use. In 2018, the European Working Group on Sarcopenia in Older People (EWGSOP) renewed a consensus on the definition of sarcopenia: low muscle strength, loss of muscle quantity, and poor physical performance (Cruz-Jentoft et al., 2019). Radiological imaging-based measurement of muscle quantity or mass is most commonly used to evaluate the degree of sarcopenia. The gold standard is to measure the SM and/or psoas muscle (PM) area using abdominal computed tomography (CT) at the third lumbar vertebra (L3), as it is linearly correlated to whole-body SM mass (van Vugt et al., 2016). According to a "North American Expert Opinion Statement on Sarcopenia," SM index (SMI) is the preferred measure of sarcopenia (Carey et al., 2019). The variability between morphometric muscle indexes revealed that they have different clinical relevance and are generally not applicable to broader populations (Esser et al., 2019).

Medication rules of famous Beijing TCM doctor Wang Pei in the treatment of colon cancer based on data mining / 国际中医中药杂志

Objective:To explore the medication rules of Professor Wang Pei in the treatment of colon cancer.Methods:The medical records of Professor Wang Pei's outpatient treatment for colon cancer were collected, entered into the Traditional Chinese Medicine Inheritance Computing Platform V3.0, and the laws of the prescription's nature, flavor, meridian, drug frequency, drug combination, association rules, and cluster analysis were explored.Results:A total of 65 prescriptions were collected, including 150 Chinese materia medica. The medicinal properties of these Chinese materia medica are mainly warm, cold and flat, the tastes were mainly sweet, bitter and pungent, and the meridians were mainly liver, spleen and kidney meridians. Dampness category and blood circulation promoting and blood stasis category were mainly used, and the most frequently used drugs include Poria, Polyporus, Scutellariae Barbatae Herba, Astragali Radix, Curcumae Rhizoma, and the pairs of Polyporus- Poria, Astragali Radix- Astragali Radix Praeparata cum Melle, Scutellariae Barbatae Herba- Curcumae Rhizoma. Twenty nine high-related drug pairs were obtained from association rules, including Polyporus- Astragali Radix Praeparata cum Melle- Astragali Radix, Poria- Scutellariae Barbatae Herba- Polyporus, Scutellariae Barbatae Herba- Curcumae Rhizoma- Polyporus. The cluster analysis showed the combination of 6 types of medicines mainly focuses on strengthening the spleen and removing dampness, nourishing qi and promoting blood, clearing heat and detoxifying, and astringing the intestines to stop bleeding. Conclusion:Professor Wang Pei mostly discusses the treatment of colon cancer from "spleen dampness, rectification deficiency, heat toxin, blood stasis, bleeding", and the treatment is "invigorating the spleen and removing dampness, invigorating Qi and strengthening the body, clearing away heat and detoxifying, promoting blood circulation and removing blood stasis, and astringent intestines to stop bleeding", which is in line with the thought of Traditional Chinese Medicine treatment of tumors, strengthening the righteousness and eliminating pathogenic factors, and and can be used for clinical reference.