Matches in SemOpenAlex for { <https://semopenalex.org/work/W4221018958> ?p ?o ?g. }
Showing items 1 to 98 of
98
with 100 items per page.
- W4221018958 endingPage "359" @default.
- W4221018958 startingPage "352" @default.
- W4221018958 abstract "To develop and validate a radiomic-clinical nomogram to evaluate overall survival (OS) postoperatively in patients with serous ovarian cancer.Eighty serous ovarian cancer patients from The Cancer Imaging Archive (TCIA) database were used as the training set, and 39 eligible patients treated at Affiliated Huadu Hospital were used as the independent validation set. In total, 1,301 radiomics features were extracted from ovarian cancer lesions on venous-phase computed tomography (CT) images. Then, a radiomics signature was developed using the least absolute shrinkage and selection operator (LASSO) Cox regression algorithm in the training set. Moreover, a radiomic-clinical nomogram was constructed incorporating the radiomics signature and clinical predictors based on a multivariable Cox regression analysis. The performance of the nomogram was evaluated.Consisting of three selected features, the radiomics signature showed good discrimination in the training and validation sets with C-indexes of 0.694 (95% confidence interval [CI]: 0.613-0.775) and 0.709 (95% CI: 0.517-0.901), respectively. The radiomic-clinical nomogram contained the radiomics signature and four clinical predictors, including age, tumour size, pathological staging, and tumour grade. The nomogram showed favourable discrimination in the training set (C-index [95% CI], 0.754 [0.678-0.830]), which was confirmed in the validation set (C-index [95% CI], 0.727 [0.569-0.885]). According to the model, all patients were classified into high-risk and low-risk groups. Kaplan-Meier curves showed that there was a significant distinction between the OS of the high-risk and low-risk patients.The proposed radiomic-clinical nomogram can increase the predictive accuracy of OS in patients with serous ovarian cancer after surgery, which may aid in clinical decision-making." @default.
- W4221018958 created "2022-04-03" @default.
- W4221018958 creator A5020314816 @default.
- W4221018958 creator A5028132647 @default.
- W4221018958 creator A5028736883 @default.
- W4221018958 creator A5029776265 @default.
- W4221018958 creator A5041617519 @default.
- W4221018958 creator A5052178012 @default.
- W4221018958 creator A5056230833 @default.
- W4221018958 creator A5074466071 @default.
- W4221018958 date "2022-05-01" @default.
- W4221018958 modified "2023-10-03" @default.
- W4221018958 title "Development of a radiomic–clinical nomogram for prediction of survival in patients with serous ovarian cancer" @default.
- W4221018958 cites W2020582501 @default.
- W4221018958 cites W2106010518 @default.
- W4221018958 cites W2128739912 @default.
- W4221018958 cites W2129925362 @default.
- W4221018958 cites W2133650808 @default.
- W4221018958 cites W2438866487 @default.
- W4221018958 cites W2506062488 @default.
- W4221018958 cites W2595718694 @default.
- W4221018958 cites W2618052002 @default.
- W4221018958 cites W2733100528 @default.
- W4221018958 cites W2763355946 @default.
- W4221018958 cites W2767128594 @default.
- W4221018958 cites W2802934060 @default.
- W4221018958 cites W2903150666 @default.
- W4221018958 cites W2913160101 @default.
- W4221018958 cites W2913823430 @default.
- W4221018958 cites W2938458914 @default.
- W4221018958 cites W3007510394 @default.
- W4221018958 cites W3013141357 @default.
- W4221018958 cites W3014592106 @default.
- W4221018958 cites W3035201165 @default.
- W4221018958 cites W3093349392 @default.
- W4221018958 cites W3103576008 @default.
- W4221018958 cites W3107151355 @default.
- W4221018958 cites W3127866002 @default.
- W4221018958 cites W3128646645 @default.
- W4221018958 doi "https://doi.org/10.1016/j.crad.2022.01.038" @default.
- W4221018958 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35264303" @default.
- W4221018958 hasPublicationYear "2022" @default.
- W4221018958 type Work @default.
- W4221018958 citedByCount "9" @default.
- W4221018958 countsByYear W42210189582022 @default.
- W4221018958 countsByYear W42210189582023 @default.
- W4221018958 crossrefType "journal-article" @default.
- W4221018958 hasAuthorship W4221018958A5020314816 @default.
- W4221018958 hasAuthorship W4221018958A5028132647 @default.
- W4221018958 hasAuthorship W4221018958A5028736883 @default.
- W4221018958 hasAuthorship W4221018958A5029776265 @default.
- W4221018958 hasAuthorship W4221018958A5041617519 @default.
- W4221018958 hasAuthorship W4221018958A5052178012 @default.
- W4221018958 hasAuthorship W4221018958A5056230833 @default.
- W4221018958 hasAuthorship W4221018958A5074466071 @default.
- W4221018958 hasConcept C121608353 @default.
- W4221018958 hasConcept C126322002 @default.
- W4221018958 hasConcept C126838900 @default.
- W4221018958 hasConcept C143998085 @default.
- W4221018958 hasConcept C150173356 @default.
- W4221018958 hasConcept C2778559731 @default.
- W4221018958 hasConcept C2780427987 @default.
- W4221018958 hasConcept C34626388 @default.
- W4221018958 hasConcept C44249647 @default.
- W4221018958 hasConcept C50382708 @default.
- W4221018958 hasConcept C71924100 @default.
- W4221018958 hasConceptScore W4221018958C121608353 @default.
- W4221018958 hasConceptScore W4221018958C126322002 @default.
- W4221018958 hasConceptScore W4221018958C126838900 @default.
- W4221018958 hasConceptScore W4221018958C143998085 @default.
- W4221018958 hasConceptScore W4221018958C150173356 @default.
- W4221018958 hasConceptScore W4221018958C2778559731 @default.
- W4221018958 hasConceptScore W4221018958C2780427987 @default.
- W4221018958 hasConceptScore W4221018958C34626388 @default.
- W4221018958 hasConceptScore W4221018958C44249647 @default.
- W4221018958 hasConceptScore W4221018958C50382708 @default.
- W4221018958 hasConceptScore W4221018958C71924100 @default.
- W4221018958 hasIssue "5" @default.
- W4221018958 hasLocation W42210189581 @default.
- W4221018958 hasLocation W42210189582 @default.
- W4221018958 hasOpenAccess W4221018958 @default.
- W4221018958 hasPrimaryLocation W42210189581 @default.
- W4221018958 hasRelatedWork W2920996053 @default.
- W4221018958 hasRelatedWork W3048904743 @default.
- W4221018958 hasRelatedWork W3088513494 @default.
- W4221018958 hasRelatedWork W3095136102 @default.
- W4221018958 hasRelatedWork W3101450390 @default.
- W4221018958 hasRelatedWork W3131814850 @default.
- W4221018958 hasRelatedWork W3188341736 @default.
- W4221018958 hasRelatedWork W3211307483 @default.
- W4221018958 hasRelatedWork W4206088420 @default.
- W4221018958 hasRelatedWork W4282838874 @default.
- W4221018958 hasVolume "77" @default.
- W4221018958 isParatext "false" @default.
- W4221018958 isRetracted "false" @default.
- W4221018958 workType "article" @default.