FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4376286316> ?p ?o ?g. }

• W4376286316 endingPage "600" @default.
• W4376286316 startingPage "590" @default.
• W4376286316 abstract "•The nomogram is conducive to identify malignant from benign Bosniak IIF masses. •The radiomics nomogram shows improved diagnostic effectiveness. •The CT-based radiomics nomogram could be helpful for early treatment. AIM To establish and assess a computed tomography (CT)-based radiomics nomogram for identifying malignant and benign Bosniak IIF masses. MATERIALS AND METHODS In total, 150 patients with Bosniak IIF masses were separated into a training set (n=106) and a test set (n=44) in a ratio of 7:3. A radiomics signature was calculated based on extracted features from the three phases of CT images. A clinical model was constructed based on clinical characteristics and CT features, and a nomogram incorporating the radiomics signature and independent clinical variables was established. The calibration ability, discrimination accuracy, and clinical value of the nomogram model were assessed. RESULTS Twelve features derived from CT images were applied to establish the radiomics signature. The performance levels of three machine-learning models were improved by adding the synthetic minority oversampling technique algorithm. The optimised machine learning model was a combination of the minimum redundancy maximum relevance-least absolute shrinkage and selection operator feature screening method + logistic regression classifier + synthetic minority oversampling technique algorithm, which demonstrated excellent identification ability on the test set (area under the curve [AUC], 0.970; 95% confidence interval [CI], 0.940–1.000). The nomogram model displayed outstanding discrimination ability on the test set (AUC, 0.972; 95% CI, 0.942–1.000). CONCLUSIONS The CT-based radiomics nomogram was useful for discriminating between malignant and benign Bosniak IIF masses, which improved the precision of preoperative diagnosis. To establish and assess a computed tomography (CT)-based radiomics nomogram for identifying malignant and benign Bosniak IIF masses. In total, 150 patients with Bosniak IIF masses were separated into a training set (n=106) and a test set (n=44) in a ratio of 7:3. A radiomics signature was calculated based on extracted features from the three phases of CT images. A clinical model was constructed based on clinical characteristics and CT features, and a nomogram incorporating the radiomics signature and independent clinical variables was established. The calibration ability, discrimination accuracy, and clinical value of the nomogram model were assessed. Twelve features derived from CT images were applied to establish the radiomics signature. The performance levels of three machine-learning models were improved by adding the synthetic minority oversampling technique algorithm. The optimised machine learning model was a combination of the minimum redundancy maximum relevance-least absolute shrinkage and selection operator feature screening method + logistic regression classifier + synthetic minority oversampling technique algorithm, which demonstrated excellent identification ability on the test set (area under the curve [AUC], 0.970; 95% confidence interval [CI], 0.940–1.000). The nomogram model displayed outstanding discrimination ability on the test set (AUC, 0.972; 95% CI, 0.942–1.000). The CT-based radiomics nomogram was useful for discriminating between malignant and benign Bosniak IIF masses, which improved the precision of preoperative diagnosis." @default.
• W4376286316 created "2023-05-13" @default.
• W4376286316 creator A5002933069 @default.
• W4376286316 creator A5019104532 @default.
• W4376286316 creator A5032340945 @default.
• W4376286316 creator A5036843446 @default.
• W4376286316 creator A5058108838 @default.
• W4376286316 creator A5068080767 @default.
• W4376286316 creator A5068480403 @default.
• W4376286316 creator A5075724141 @default.
• W4376286316 creator A5084906172 @default.
• W4376286316 date "2023-08-01" @default.
• W4376286316 modified "2023-10-14" @default.
• W4376286316 title "A CT-based radiomics nomogram for distinguishing between malignant and benign Bosniak IIF masses: a two-centre study" @default.
• W4376286316 cites W1965322944 @default.
• W4376286316 cites W1970632473 @default.
• W4376286316 cites W1974728947 @default.
• W4376286316 cites W2027540165 @default.
• W4376286316 cites W2047731777 @default.
• W4376286316 cites W2056964334 @default.
• W4376286316 cites W2060915154 @default.
• W4376286316 cites W2065658024 @default.
• W4376286316 cites W2084548139 @default.
• W4376286316 cites W2128739912 @default.
• W4376286316 cites W2131327413 @default.
• W4376286316 cites W2141577422 @default.
• W4376286316 cites W2158497151 @default.
• W4376286316 cites W2168854207 @default.
• W4376286316 cites W2174661749 @default.
• W4376286316 cites W2294344484 @default.
• W4376286316 cites W2538198646 @default.
• W4376286316 cites W2579867590 @default.
• W4376286316 cites W2889877784 @default.
• W4376286316 cites W2891952629 @default.
• W4376286316 cites W2896326383 @default.
• W4376286316 cites W2901383625 @default.
• W4376286316 cites W2904778411 @default.
• W4376286316 cites W2913754119 @default.
• W4376286316 cites W2916658747 @default.
• W4376286316 cites W2919651698 @default.
• W4376286316 cites W2922015832 @default.
• W4376286316 cites W2950537929 @default.
• W4376286316 cites W2951851153 @default.
• W4376286316 cites W2962891277 @default.
• W4376286316 cites W2965493599 @default.
• W4376286316 cites W2968849816 @default.
• W4376286316 cites W2971607482 @default.
• W4376286316 cites W2972809510 @default.
• W4376286316 cites W2981670987 @default.
• W4376286316 cites W2995145028 @default.
• W4376286316 cites W3004159775 @default.
• W4376286316 cites W3004329836 @default.
• W4376286316 cites W3009583110 @default.
• W4376286316 cites W3038956095 @default.
• W4376286316 cites W3081424312 @default.
• W4376286316 cites W3088208436 @default.
• W4376286316 doi "https://doi.org/10.1016/j.crad.2023.04.011" @default.
• W4376286316 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37258333" @default.
• W4376286316 hasPublicationYear "2023" @default.
• W4376286316 type Work @default.
• W4376286316 citedByCount "0" @default.
• W4376286316 crossrefType "journal-article" @default.
• W4376286316 hasAuthorship W4376286316A5002933069 @default.
• W4376286316 hasAuthorship W4376286316A5019104532 @default.
• W4376286316 hasAuthorship W4376286316A5032340945 @default.
• W4376286316 hasAuthorship W4376286316A5036843446 @default.
• W4376286316 hasAuthorship W4376286316A5058108838 @default.
• W4376286316 hasAuthorship W4376286316A5068080767 @default.
• W4376286316 hasAuthorship W4376286316A5068480403 @default.
• W4376286316 hasAuthorship W4376286316A5075724141 @default.
• W4376286316 hasAuthorship W4376286316A5084906172 @default.
• W4376286316 hasConcept C101180180 @default.
• W4376286316 hasConcept C126322002 @default.
• W4376286316 hasConcept C126838900 @default.
• W4376286316 hasConcept C143998085 @default.
• W4376286316 hasConcept C151956035 @default.
• W4376286316 hasConcept C154945302 @default.
• W4376286316 hasConcept C159654299 @default.
• W4376286316 hasConcept C163764329 @default.
• W4376286316 hasConcept C203014093 @default.
• W4376286316 hasConcept C2778559731 @default.
• W4376286316 hasConcept C34626388 @default.
• W4376286316 hasConcept C41008148 @default.
• W4376286316 hasConcept C44249647 @default.
• W4376286316 hasConcept C58471807 @default.
• W4376286316 hasConcept C71924100 @default.
• W4376286316 hasConceptScore W4376286316C101180180 @default.
• W4376286316 hasConceptScore W4376286316C126322002 @default.
• W4376286316 hasConceptScore W4376286316C126838900 @default.
• W4376286316 hasConceptScore W4376286316C143998085 @default.
• W4376286316 hasConceptScore W4376286316C151956035 @default.
• W4376286316 hasConceptScore W4376286316C154945302 @default.
• W4376286316 hasConceptScore W4376286316C159654299 @default.
• W4376286316 hasConceptScore W4376286316C163764329 @default.
• W4376286316 hasConceptScore W4376286316C203014093 @default.
• W4376286316 hasConceptScore W4376286316C2778559731 @default.
• W4376286316 hasConceptScore W4376286316C34626388 @default.
• W4376286316 hasConceptScore W4376286316C41008148 @default.

• next