ABSTRACT
Gastric cancer is a significant health concern worldwide, and lymphadenectomy plays a crucial role in its treatment. However, there is ongoing debate regarding the optimal approach-D1 or D2 lymphadenectomy. This paper aims to synthesize the available evidence by conducting a comprehensive literature review and comparing the advantages and disadvantages of both techniques. The analysis includes studies, clinical trials, and systematic reviews that assess survival outcomes, morbidity, and quality of life. The selected studies revealed different outcomes associated with D1 and D2 lymphadenectomy, including lymph node harvest, disease control, recurrence rates, and overall survival. Postoperative complications also varied between the two techniques. These findings highlight the complex considerations involved in selecting the most suitable lymphadenectomy approach for individual patients. Therefore, the decision requires an individualized assessment that considers the potential benefits and risks of D1 and D2 techniques. A collaborative approach involving interdisciplinary teams is crucial for developing personalized treatment plans that optimize both oncological outcomes and postoperative quality of life.
ABSTRACT
The research article highlights the significance of acute myocardial infarction (AMI) and its impact on depression and anxiety among patients' post-primary percutaneous coronary interventions (PCI). The study aims to determine the frequency of depression and anxiety occurrence in patients with acute myocardial infarction after primary PCI. The objective of this study is to investigate the frequency of depression and anxiety in patients with acute myocardial infarction after primary PCI. The method used in the study involved the collection of data from 88 patients with acute myocardial infarction who underwent primary PCI treatment. The patients were tested before PCI and then at intervals of 1 month, 6 months, and 12 months post-PCI using the Hamilton Depression Scale (HAM-D17) and the Hamilton Anxiety Scale (HAM-A) to identify depression and anxiety symptoms, respectively. The study performed a comprehensive analysis of the collected data to determine the frequency of depression and anxiety occurrence in post-PCI patients. The study found evidence that primary PCI reduces depression and anxiety in patients who have experienced a myocardial infarction. However, mental health issues continue to be a significant psychological concern for patients post-PCI, impacting their lifestyle, self-care, and treatment adherence. The study suggests that healthcare providers should actively screen and manage psychiatric disorders in patients who have suffered from AMI as they are at an increased risk of mental disorders. In conclusion, the study indicates that depression and anxiety are common issues in acute myocardial infarction survivors, and interventions addressing these conditions should be a routine part of care. The study highlights the need for healthcare providers to be aware of the increased risk of mental disorders in individuals who have suffered from AMI. Understanding the impact of anxiety and depression on post-PCI patients is essential for the development of effective interventions that support patients' recovery.
ABSTRACT
Psychosocial and work stress, socioeconomic status, and environmental health directly impact the onset and progression of cardiovascular diseases, irrespective of sex or conventional cardiovascular risk factors (cCRFs). On the other hand, the impact of cCRFs on health-related quality of life (HRQoL) is not well known, and the psychological socioeconomic environmental somatic health interaction is often neglected. Accordingly, we aimed to: (i) compare the self-reported HRQoL using the WHOQOL-BREF questionnaire between healthy subjects and those with cCRFs; and (ii) evaluate the interplay between HRQoL, cCRFs, and cardiovascular treatment adherence. We prospectively included 90 working adults (46 healthy and 44 with cCRFs age- and sex-matched adults) evaluated by clinical examination, 12-leads electrocardiography, and transthoracic echocardiography as part of a cardiovascular diseases screening program, that also filled in the WHOQOL-BREF questionnaire. Subjects with CRFs were less satisfied with their own individual health. The presence and the number of CRFs, as well as the need for cardiovascular treatment and the number of drugs taken correlated with reduced scores at the majority of HRQoL domains. The results in the social relationships domain were the best predictor of cardiovascular treatment adherence. Finally, the results of all HRQoL domains were strongly correlated to each other demonstrating the psychological socioeconomic environmental somatic health interaction.
ABSTRACT
Small bowel polyps present in images acquired by wireless capsule endoscopy are more difficult to detect using computer-aided diagnostic (CAD) systems. We aimed to identify the optimum morphological characteristics that best describe a polyp and convert them into feature vectors used for automatic detection of polyps present in images acquired by wireless capsule endoscopy (WCE). We prospectively included 54 patients with clinical indications for WCE. Initially, physicians analyzed all images acquired, identifying the frames that contained small bowel polyps. Subsequently, all images were analyzed using an automated computer-aided diagnostic system designed and implemented to convert physical characteristics into vectors of numeric values. The data set was completed with texture and color information, and then analyzed by a feed forward back propagation artificial neural network (ANN) trained to identify the presence of polyps in WCE frames. Overall, the neural network had 93.75% sensitivity, 91.38% specificity, 85.71% positive predictive value (PPV) and 96.36% negative predictive value (NPV). In comparison, physicians' diagnosis indicated 94.79% sensitivity, 93.68% specificity, 89.22% PPV and 97.02% NPV, thus showing that ANN diagnosis was similar to that of human interpretation. Computer-aided diagnostic of small bowel polyps, based on morphological features detection methods, emulation and neural networks classification, seems efficient, fast and reliable for physicians.
