Publications by authors named "Qingzheng Shen"
Background: Survival prognosis of patients with gastric cancer (GC) often influences physicians' choice of their follow-up treatment. This study aimed to develop a positron emission tomography (PET)-based radiomics model combined with clinical tumor-node-metastasis (TNM) staging to predict overall survival (OS) in patients with GC.
Methods: We reviewed the clinical information of a total of 327 patients with pathological confirmation of GC undergoing 18 F-fluorodeoxyglucose (18 F-FDG) PET scans.
Article Synopsis
- The study investigates the link between the age-adjusted Charlson Comorbidity Index (ACCI) and sarcopenia in patients with gastric cancer (GC) to assess their prognostic value after surgery.
- Using statistical analyses, the researchers created a new prognostic score combining the ACCI and sarcopenia (ACCIS) to better predict patient outcomes.
- Findings indicate that both ACCI and sarcopenia are independent risk factors for prognosis in GC, and the ACCIS score improves the accuracy of predictions compared to traditional models.
Deep vein thrombosis (DVT) represents a critical health concern due to its potential to lead to pulmonary embolism, a life-threatening complication. Early identification and prediction of DVT are crucial to prevent thromboembolic events and implement timely prophylactic measures in high-risk individuals. This study aims to examine the risk determinants associated with acute lower extremity DVT in hospitalized individuals.
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