Objective To explore the association between death receptor (DR) 4 gene polymorphism and the predis-position of ulcerative colitis(UC). Methods DR4(rs20575)genotypes were determined by direct sequencing in a total of 147 UC patients and 244 healthy controls. Logistic regression analysis was employed to assess the relationship be-tween DR4 (rs20575)gene polymorphism and UC. Results Compared to the controls, the frequencies of variant allele(G)and genotype(CG+GG) of DR4(rs20575)were significantly increased in UC patients(5.78% vs 1.23%,P=0.001,OR=4.930,95%CI1.192-12.651;7.48% vs 2.46%,P=0.025,OR=3.208,95%CI1.161-8.869). According to the Tru-elove &Witt Activity Index, the severity of UC was further stratified into the mild, moderate and severe disease. In re-sult, variant allele (G)and genotype(CG+GG)in DR4(rs20575)were significantly higher in patients with moderate and severe UC than those with mild UC (10.64% vs 3.50%,P=0.020,OR=3.282,95%CI1.208-8.916; 14.89% vs 4.00%,P=0.028,OR=4.200,95%CI1.165-15.146). DR4(rs20575) mutant allele and genotype frequencies between extensive colitis and distal colitis were no statistical difference(P>0.05). Conclusion The genetic polymorphism of DR4(rs20575)is significantly related with the susceptibility to UC, as well as severity of the disease in this cohort of Chinese pa-tients.

With the widespread adoption of low-dose CT screening and the extensive application of high-resolution CT, the detection rate of sub-centimeter lung nodules has significantly increased. How to scientifically manage these nodules while avoiding overtreatment and diagnostic delays has become an important clinical issue. Among them, lung nodules with a consolidation tumor ratio less than 0.25, dominated by ground-glass shadows, are particularly worthy of attention. The therapeutic challenge for this group is how to achieve precise and complete resection of nodules during surgery while maximizing the preservation of the patient's lung function. The "watershed topography map" is a new technology based on big data and artificial intelligence algorithms. This method uses Dicom data from conventional dose CT scans, combined with microscopic (22-24 levels) capillary network anatomical watershed features, to generate high-precision simulated natural segmentation planes of lung sub-segments through specific textures and forms. This technology forms fluorescent watershed boundaries on the lung surface, which highly fit the actual lung anatomical structure. By analyzing the adjacent relationship between the nodule and the watershed boundary, real-time, visually accurate positioning of the nodule can be achieved. This innovative technology provides a new solution for the intraoperative positioning and resection of lung nodules. This consensus was led by four major domestic societies, jointly with expert teams in related fields, oriented to clinical practical needs, referring to domestic and foreign guidelines and consensus, and finally formed after multiple rounds of consultation, discussion, and voting. The main content covers the theoretical basis of the "watershed topography map" technology, indications, operation procedures, surgical planning details, and postoperative evaluation standards, aiming to provide scientific guidance and exploration directions for clinical peers who are currently or plan to carry out lung nodule resection using the fluorescent microscope watershed analysis method.