FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3159992783> ?p ?o ?g. }

• W3159992783 abstract "To develop and validate a dual-energy computed tomography (DECT) derived radiomics model to predict peritoneal metastasis (PM) in patients with gastric cancer (GC).This retrospective study recruited 239 GC (non-PM = 174, PM = 65) patients with histopathological confirmation for peritoneal status from January 2015 to December 2019. All patients were randomly divided into a training cohort (n = 160) and a testing cohort (n = 79). Standardized iodine-uptake (IU) images and 120-kV-equivalent mixed images (simulating conventional CT images) from portal-venous and delayed phases were used for analysis. Two regions of interest (ROIs) including the peritoneal area and the primary tumor were independently delineated. Subsequently, 1691 and 1226 radiomics features were extracted from the peritoneal area and the primary tumor from IU and mixed images on each phase. Boruta and Spearman correlation analysis were used for feature selection. Three radiomics models were established, including the R_IU model for IU images, the R_MIX model for mixed images and the combined radiomics model (the R_comb model). Random forest was used to tune the optimal radiomics model. The performance of the clinical model and human experts to assess PM was also recorded.Fourteen and three radiomics features with low redundancy and high importance were extracted from the IU and mixed images, respectively. The R_IU model showed significantly better performance to predict PM than the R_MIX model in the training cohort (AUC, 0.981 vs. 0.917, p = 0.034). No improvement was observed in the R_comb model (AUC = 0.967). The R_IU model was the optimal radiomics model which showed no overfitting in the testing cohort (AUC = 0.967, p = 0.528). The R_IU model demonstrated significantly higher predictive value on peritoneal status than the clinical model and human experts in the testing cohort (AUC, 0.785, p = 0.005; AUC, 0.732, p <0.001, respectively).DECT derived radiomics could serve as a non-invasive and easy-to-use biomarker to preoperatively predict PM for GC, providing opportunity for those patients to tailor appropriate treatment." @default.
• W3159992783 created "2021-05-24" @default.
• W3159992783 creator A5004346140 @default.
• W3159992783 creator A5006313457 @default.
• W3159992783 creator A5015225458 @default.
• W3159992783 creator A5024120345 @default.
• W3159992783 creator A5031089441 @default.
• W3159992783 creator A5037921616 @default.
• W3159992783 creator A5078129260 @default.
• W3159992783 creator A5084862802 @default.
• W3159992783 creator A5085462851 @default.
• W3159992783 date "2021-05-14" @default.
• W3159992783 modified "2023-09-25" @default.
• W3159992783 title "Dual-Energy Computed Tomography-Based Radiomics to Predict Peritoneal Metastasis in Gastric Cancer" @default.
• W3159992783 cites W1261214144 @default.
• W3159992783 cites W1520425169 @default.
• W3159992783 cites W17791541 @default.
• W3159992783 cites W18060098 @default.
• W3159992783 cites W1926920987 @default.
• W3159992783 cites W2011257306 @default.
• W3159992783 cites W2012690943 @default.
• W3159992783 cites W2043409135 @default.
• W3159992783 cites W2071152481 @default.
• W3159992783 cites W2112410992 @default.
• W3159992783 cites W2114489245 @default.
• W3159992783 cites W2123140273 @default.
• W3159992783 cites W2124242050 @default.
• W3159992783 cites W2128739912 @default.
• W3159992783 cites W2156665896 @default.
• W3159992783 cites W2172771697 @default.
• W3159992783 cites W2293250945 @default.
• W3159992783 cites W2327518898 @default.
• W3159992783 cites W2416723253 @default.
• W3159992783 cites W2419587582 @default.
• W3159992783 cites W2558302464 @default.
• W3159992783 cites W2579949149 @default.
• W3159992783 cites W2593606694 @default.
• W3159992783 cites W2772463685 @default.
• W3159992783 cites W2775407629 @default.
• W3159992783 cites W2784678090 @default.
• W3159992783 cites W2806676728 @default.
• W3159992783 cites W2848312316 @default.
• W3159992783 cites W2887933203 @default.
• W3159992783 cites W2889646458 @default.
• W3159992783 cites W2890238129 @default.
• W3159992783 cites W2903016288 @default.
• W3159992783 cites W2913160101 @default.
• W3159992783 cites W2924012394 @default.
• W3159992783 cites W2965351643 @default.
• W3159992783 cites W2998789541 @default.
• W3159992783 cites W3013141357 @default.
• W3159992783 cites W3017170546 @default.
• W3159992783 cites W3032933153 @default.
• W3159992783 cites W3036935636 @default.
• W3159992783 cites W3047583202 @default.
• W3159992783 cites W3047756933 @default.
• W3159992783 cites W3060749853 @default.
• W3159992783 cites W3093407410 @default.
• W3159992783 cites W3096202328 @default.
• W3159992783 cites W3106778004 @default.
• W3159992783 cites W3119328561 @default.
• W3159992783 cites W3119742431 @default.
• W3159992783 cites W4211007657 @default.
• W3159992783 cites W4241573849 @default.
• W3159992783 cites W4292528108 @default.
• W3159992783 doi "https://doi.org/10.3389/fonc.2021.659981" @default.
• W3159992783 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8160383" @default.
• W3159992783 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34055627" @default.
• W3159992783 hasPublicationYear "2021" @default.
• W3159992783 type Work @default.
• W3159992783 sameAs 3159992783 @default.
• W3159992783 citedByCount "12" @default.
• W3159992783 countsByYear W31599927832022 @default.
• W3159992783 countsByYear W31599927832023 @default.
• W3159992783 crossrefType "journal-article" @default.
• W3159992783 hasAuthorship W3159992783A5004346140 @default.
• W3159992783 hasAuthorship W3159992783A5006313457 @default.
• W3159992783 hasAuthorship W3159992783A5015225458 @default.
• W3159992783 hasAuthorship W3159992783A5024120345 @default.
• W3159992783 hasAuthorship W3159992783A5031089441 @default.
• W3159992783 hasAuthorship W3159992783A5037921616 @default.
• W3159992783 hasAuthorship W3159992783A5078129260 @default.
• W3159992783 hasAuthorship W3159992783A5084862802 @default.
• W3159992783 hasAuthorship W3159992783A5085462851 @default.
• W3159992783 hasBestOaLocation W31599927831 @default.
• W3159992783 hasConcept C121608353 @default.
• W3159992783 hasConcept C126322002 @default.
• W3159992783 hasConcept C126838900 @default.
• W3159992783 hasConcept C143409427 @default.
• W3159992783 hasConcept C167135981 @default.
• W3159992783 hasConcept C2778559731 @default.
• W3159992783 hasConcept C2779013556 @default.
• W3159992783 hasConcept C2989005 @default.
• W3159992783 hasConcept C544519230 @default.
• W3159992783 hasConcept C58471807 @default.
• W3159992783 hasConcept C71924100 @default.
• W3159992783 hasConcept C72563966 @default.
• W3159992783 hasConceptScore W3159992783C121608353 @default.
• W3159992783 hasConceptScore W3159992783C126322002 @default.
• W3159992783 hasConceptScore W3159992783C126838900 @default.

• next