Objective To compare the accuracy of consolidation/tumor ratio(CTR)measured at different CT thresholds for the prediction of invasiveness in small lung cancer with diameter≤2 cm using artificial intelligence-assisted measurements,and to explore the CTR thresholds and the corresponding CT thresholds for predicting lung cancer invasiveness.Methods Clinical data from 59 lung cancer patients(78 lung nodules in total)treated at Wuwei Hospital of Traditional Chinese Medicine from January 2021 to May 2023 were collected to analyze the prediction efficacy of CTR on invasiveness in small lung cancer with diameter≤2 cm measured at CT thresholds of-400,-350,-300,-250,-200,-150 HU.ROC curves were plotted to determine the optimal critical value for invasiveness prediction,followed by the corresponding CT threshold.Results The highest diagnostic efficacy for the invasiveness of lung nodules was achieved at a CT threshold of-250 HU,with an area under the curve of 0.931,sensitivity of 77.5％,specificity of 100％,and an optimal CTR threshold of 0.322.Conclusion For small lung cancers with a maximum diameter≤2 cm,CTR measured at a CT threshold of-250 HU can accurately predict lung cancer invasiveness.At CTR>0.322,the nodule is more likely to be microinvasive or invasive adenocarcinoma.

Freshwater snail is an important biological group in aquatic ecosystem and an intermediate host of many parasites. Intestinal flora plays an important role in animal energy metabolism and resistance to pathogens. We analyzed the intestinal microbiota diversity of Radix auricularia (RA) and Planorbella trivolvis (PL) by 16S rRNA high-throughput sequencing. At the phylum level, RA had 23 phyla, including Proteobacteria (33.63%), Cyanobacteria (15.33%), Chloroflexi (13.95%), and Actinomycetes (12.99%). PL had 13 phyla, including Proteobacteria (54.88%), Bacteroidetes (28.49%), and Actinomycetes (7.65%). At the genus level, there were 445 genera in RA, including Pleurocapsa, Thiodictyon, Leptotrichia, and Nocardioides. There were 238 genera in PL, including Cloacibacterium, OM60NOR5_clade, Pseudomonas, and Rhodobacter. Ninety-three genera were the common core flora of the two snail species (all the samples were present), and 27 genera had an abundance greater than 0.5%. The structure of intestinal microbiota was significantly different between the two groups (P=0.027). We performed the functional prediction of intestinal microbiota using Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt), and the results show that the KEGG functional composition of the intestinal flora of the two snails was similar, and the abundance of the amino acid metabolism, carbohydrate metabolism and membrane transport were large. In summary, the intestinal microbiota of the two snails was high in diversity and significantly different, but there were a large number of common core flora.
Animals ; Auricularia ; Ecosystem ; Fresh Water ; Gastrointestinal Microbiome/genetics* ; High-Throughput Nucleotide Sequencing ; Phylogeny ; RNA, Ribosomal, 16S/genetics* ; Snails