ObjectivesTo explore the efficacy and prognostic factors of neuroendoscopic intracerebral hematoma evacuation in the treatment of hypertension-related intracerebral hemorrhage.MethodsA total of 122 patients with hypertension-related intracerebral hemorrhage treated in our hospital from October 2015 to May 2019 were categorized into experimental group (n=62) and control group (n=60). The experimental group was treated with endoscopic intracerebral hematoma removal, while the control group was treated with traditional craniotomy. The operative indexes, postoperative recovery, serum endothelin, IL-6, CRP levels and the incidence of postoperative complications were observed and compared between the two groups, and the relevant factors affecting the prognosis of patients undergoing neuroendoscopic intracerebral hematoma evacuation were analyzed.ResultsThe operation time, intraoperative blood loss, hematoma clearance rate, ICU treatment time, the volume of brain edema 7 days after operation, the postoperative intracranial pressure, NIHSS score and ADL score in experimental group were significantly superior to those in control group. The levels of serum endothelin, IL-6 and CRP in the experimental group were significantly lower than those in the control group after operation. The incidence of complications in the experimental group was lower than that in control group. Univariate analysis showed that the prognosis of patients undergoing neuroendoscopic evacuation of intracerebral hematoma was significantly correlated with the history of hypertension, preoperative GCS score, the amount of bleeding and whether been broken into the ventricle (P<0.05), but not with age, sex and location of hemorrhage (P>0.05). Multivariate logistic regression analysis showed that the history of hypertension above 10 years, blood loss above 50 mL, intraventricular rupture and preoperative GCS score were the risk factors affecting the prognosis of patients undergoing neuroendoscopic intracerebral hematoma evacuation.ConclusionsCompared with traditional craniotomy, neuroendoscopic evacuation of intracerebral hematoma has the advantages of better curative effect and lower incidence of postoperative complications in the treatment of hypertension-related intracerebral hemorrhage. The history of hypertension above 10 years, bleeding volume above 50 mL, breaking into the ventricle and preoperative GCS score are the risk factors affecting the prognosis of patients undergoing neuroendoscopic intracerebral hematoma evacuation.
Early diagnosis and treatment of colorectal polyps are crucial for preventing colorectal cancer. This paper proposes a lightweight convolutional neural network for the automatic detection and auxiliary diagnosis of colorectal polyps. Initially, a 53-layer convolutional backbone network is used, incorporating a spatial pyramid pooling module to achieve feature extraction with different receptive field sizes. Subsequently, a feature pyramid network is employed to perform cross-scale fusion of feature maps from the backbone network. A spatial attention module is utilized to enhance the perception of polyp image boundaries and details. Further, a positional pattern attention module is used to automatically mine and integrate key features across different levels of feature maps, achieving rapid, efficient, and accurate automatic detection of colorectal polyps. The proposed model is evaluated on a clinical dataset, achieving an accuracy of 0.9982, recall of 0.9988, F1 score of 0.9984, and mean average precision (mAP) of 0.9953 at an intersection over union (IOU) threshold of 0.5, with a frame rate of 74 frames per second and a parameter count of 9.08 M. Compared to existing mainstream methods, the proposed method is lightweight, has low operating configuration requirements, high detection speed, and high accuracy, making it a feasible technical method and important tool for the early detection and diagnosis of colorectal cancer.