FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4317434549> ?p ?o ?g. }

• W4317434549 endingPage "580" @default.
• W4317434549 startingPage "580" @default.
• W4317434549 abstract "Background: Current cross-sectional imaging modalities exhibit heterogenous diagnostic performances for the detection of a lymph node invasion (LNI) in bladder cancer (BCa) patients. Recently, the Node-RADS score was introduced to provide a standardized comprehensive evaluation of LNI, based on a five-item Likert scale accounting for both size and configuration criteria. In the current study, we hypothesized that the Node-RADS score accurately predicts the LNI and tested its diagnostic performance. Methods: We retrospectively reviewed BCa patients treated with radical cystectomy (RC) and bilateral extended pelvic lymph node dissection, from January 2019 to June 2022. Patients receiving preoperative systemic chemotherapy were excluded. A logistic regression analysis tested the correlation between the Node-RADS score and LNI both at patient and lymph-node level. The ROC curves and the AUC depicted the overall diagnostic performance. In addition, the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated for different cut-off values (>1, >2, >3, >4). Results: Overall, data from 49 patients were collected. Node-RADS assigned on CT scans images, was found to independently predict the LNI after an adjusted multivariable regression analysis, both at the patient (OR 3.36, 95%CI 1.68–9.40, p = 0.004) and lymph node (OR 5.18, 95%CI 3.39–8.64, p < 0.001) levels. Node-RADS exhibited an AUC of 0.87 and 0.91 at the patient and lymph node levels, respectively. With increasing Node-RADS cut-off values, the specificity and PPV increased from 57.1 to 97.1% and from 48.3 to 83.3%, respectively. Conversely, the sensitivity and NPV decreased from 100 to 35.7% and from 100 to 79.1%, respectively. Similar trends were recorded at the lymph node level. Potentially, Node-RADS > 2 could be considered as the best cut-off value due to balanced values at both the patient (77.1 and 78.6%, respectively) and lymph node levels (82.4 and 93.4%, respectively). Conclusions: The current study lays the foundation for the introduction of Node-RADS for the regional lymph-node evaluation in BCa patients. Interestingly, the Node-RADS score exhibited a moderate-to-high overall accuracy for the identification of LNI, with the possibility of setting different cut-off values according to specific clinical scenarios. However, these results need to be validated on larger cohorts before drawing definitive conclusions." @default.
• W4317434549 created "2023-01-19" @default.
• W4317434549 creator A5013584401 @default.
• W4317434549 creator A5013794118 @default.
• W4317434549 creator A5014249659 @default.
• W4317434549 creator A5017259461 @default.
• W4317434549 creator A5019289258 @default.
• W4317434549 creator A5021446017 @default.
• W4317434549 creator A5023380012 @default.
• W4317434549 creator A5023436620 @default.
• W4317434549 creator A5025166644 @default.
• W4317434549 creator A5031592351 @default.
• W4317434549 creator A5046044386 @default.
• W4317434549 creator A5053419734 @default.
• W4317434549 creator A5054220736 @default.
• W4317434549 creator A5057664262 @default.
• W4317434549 creator A5069222304 @default.
• W4317434549 creator A5072499317 @default.
• W4317434549 creator A5087312316 @default.
• W4317434549 date "2023-01-18" @default.
• W4317434549 modified "2023-10-14" @default.
• W4317434549 title "Performance of Node-RADS Scoring System for a Standardized Assessment of Regional Lymph Nodes in Bladder Cancer Patients" @default.
• W4317434549 cites W1559394601 @default.
• W4317434549 cites W1680573006 @default.
• W4317434549 cites W1967036129 @default.
• W4317434549 cites W1975918912 @default.
• W4317434549 cites W2005330325 @default.
• W4317434549 cites W2009625232 @default.
• W4317434549 cites W2038228630 @default.
• W4317434549 cites W2039259046 @default.
• W4317434549 cites W2103561213 @default.
• W4317434549 cites W2108447559 @default.
• W4317434549 cites W2109709940 @default.
• W4317434549 cites W2119907068 @default.
• W4317434549 cites W2134732657 @default.
• W4317434549 cites W2257711734 @default.
• W4317434549 cites W2332342311 @default.
• W4317434549 cites W2464317135 @default.
• W4317434549 cites W2473162054 @default.
• W4317434549 cites W2539504178 @default.
• W4317434549 cites W2556072171 @default.
• W4317434549 cites W2573152477 @default.
• W4317434549 cites W2619102419 @default.
• W4317434549 cites W264401513 @default.
• W4317434549 cites W2800613296 @default.
• W4317434549 cites W2885554167 @default.
• W4317434549 cites W2896398567 @default.
• W4317434549 cites W2965816654 @default.
• W4317434549 cites W2983476233 @default.
• W4317434549 cites W2986350618 @default.
• W4317434549 cites W3010197652 @default.
• W4317434549 cites W3016341670 @default.
• W4317434549 cites W3020515617 @default.
• W4317434549 cites W3023288864 @default.
• W4317434549 cites W3044436262 @default.
• W4317434549 cites W3087682662 @default.
• W4317434549 cites W3090409465 @default.
• W4317434549 cites W3092337224 @default.
• W4317434549 cites W3092805870 @default.
• W4317434549 cites W3133346183 @default.
• W4317434549 cites W3153135543 @default.
• W4317434549 cites W3158910355 @default.
• W4317434549 cites W4220666944 @default.
• W4317434549 cites W4236018328 @default.
• W4317434549 cites W4242669880 @default.
• W4317434549 cites W4280638048 @default.
• W4317434549 cites W4283384264 @default.
• W4317434549 cites W4283656349 @default.
• W4317434549 doi "https://doi.org/10.3390/cancers15030580" @default.
• W4317434549 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36765540" @default.
• W4317434549 hasPublicationYear "2023" @default.
• W4317434549 type Work @default.
• W4317434549 citedByCount "0" @default.
• W4317434549 crossrefType "journal-article" @default.
• W4317434549 hasAuthorship W4317434549A5013584401 @default.
• W4317434549 hasAuthorship W4317434549A5013794118 @default.
• W4317434549 hasAuthorship W4317434549A5014249659 @default.
• W4317434549 hasAuthorship W4317434549A5017259461 @default.
• W4317434549 hasAuthorship W4317434549A5019289258 @default.
• W4317434549 hasAuthorship W4317434549A5021446017 @default.
• W4317434549 hasAuthorship W4317434549A5023380012 @default.
• W4317434549 hasAuthorship W4317434549A5023436620 @default.
• W4317434549 hasAuthorship W4317434549A5025166644 @default.
• W4317434549 hasAuthorship W4317434549A5031592351 @default.
• W4317434549 hasAuthorship W4317434549A5046044386 @default.
• W4317434549 hasAuthorship W4317434549A5053419734 @default.
• W4317434549 hasAuthorship W4317434549A5054220736 @default.
• W4317434549 hasAuthorship W4317434549A5057664262 @default.
• W4317434549 hasAuthorship W4317434549A5069222304 @default.
• W4317434549 hasAuthorship W4317434549A5072499317 @default.
• W4317434549 hasAuthorship W4317434549A5087312316 @default.
• W4317434549 hasBestOaLocation W43174345491 @default.
• W4317434549 hasConcept C121608353 @default.
• W4317434549 hasConcept C126322002 @default.
• W4317434549 hasConcept C126838900 @default.
• W4317434549 hasConcept C151956035 @default.
• W4317434549 hasConcept C2775862295 @default.
• W4317434549 hasConcept C2775910329 @default.

• next