Colorectal cancer (CRC) is a common malignant tumor that seriously threatens human health. CRC presents a formidable challenge in terms of accurate identification due to its indistinct boundaries. With the widespread adoption of convolutional neural networks (CNNs) in image processing, leveraging CNNs for automatic classification and segmentation holds immense potential for enhancing the efficiency of colorectal cancer recognition and reducing treatment costs. This paper explores the imperative necessity for applying CNNs in clinical diagnosis of CRC. It provides an elaborate overview on research advancements pertaining to CNNs and their improved models in CRC classification and segmentation. Furthermore, this work summarizes the ideas and common methods for optimizing network performance and discusses the challenges faced by CNNs as well as future development trends in their application towards CRC classification and segmentation, thereby promoting their utilization within clinical diagnosis.
ObjectiveTo evaluate the effectiveness and safety of proximal aortic repair (PAR) versus total arch replacement (TAR) for treatment of acute type A aortic dissection (ATAAD). Methods An electronic search was conducted for clinical controlled studies on PAR versus TAR for patients with ATAAD published in Medline via PubMed, EMbase, The Cochrane Library, Web of Science, Wanfang Database and CNKI since their inception up to April 30, 2022. The quality of each study included was assessed by 2 evaluators and the necessary data were extracted. STATA 16 software was used to perform statistical analysis of the available data. ResultsA total of 28 cohort studies involving 7 923 patients with ATAAD were included in this meta-analysis, of whom 5 710 patients received PAR and 2 213 patients underwent TAR, and 96.43% of the studies (27/28) were rated as high quality. The meta-analysis results showed that: (1) patients who underwent PAR had lower incidences of 30 d mortality [RR=0.62, 95%CI (0.50, 0.77), P＜0.001], in-hospital mortality [RR=0.64, 95%CI (0.54, 0.77), P＜0.001], and neurologic deficiency after surgery [RR=0.84, 95%CI (0.72, 0.98), P=0.032] than those who received TAR; (2) the cardiopulmonary bypass time [WMD=–52.07, 95%CI (–74.19, –29.94), P＜0.001], circulatory arrest time [WMD=–10.14, 95%CI (–15.02, –5.26), P＜0.001], and operation time [WMD=–101.68, 95%CI (–178.63, –24.73), P＜0.001] were significantly shorter in PAR than those in TAR; (3) there was no statistical difference in mortality after discharge, rate of over 5-year survival, renal failure after surgery and re-intervention, volume of red blood cells transfusion and fresh-frozen plasma transfusion, or hospital stay between two surgical procedures. Conclusion Compared with TAR, PAR has a shorter operation time and lower early and in-hospital mortality, but there is no difference in long-term outcomes or complications between the two procedures for patients with ATAAD.