FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2088553642> ?p ?o ?g. }

• W2088553642 endingPage "286" @default.
• W2088553642 startingPage "275" @default.
• W2088553642 abstract "Supersonic shear wave imaging (SSI) has recently been explored as a technique to evaluate tissue elasticity modulus and has become a valuable tool for tumor characterization. The purpose of this study was to develop a novel computer-aided diagnosis (CAD) system that can acquire quantitative elastographic information from color SSI elastography images automatically and objectively for the purpose of classifying benign and malignant breast tumors. Conventional ultrasonography (US) and SSI elastography images of 125 breast tumors (81 benign, 44 malignant), in 93 consecutive patients (mean age: 40 y, age range: 16-75 y), were obtained. After reconstruction of tissue elasticity data and automatic segmentation of each breast tumor, 10 quantitative elastographic features of the tumor and peri-tumoral areas, respectively (elasticity modulus mean, maximum and standard deviation, hardness degree and elasticity ratio), were computed and evaluated. A support vector machine (SVM) classifier was used for optimum classification via combination of these features. The B-mode Breast Imaging Reporting and Data System (BI-RADS) was used to compare gray-scale US and SSI elastography with respect to diagnostic performance. Histopathologic examination was used as the reference standard. Student's t-test, the Mann-Whitney U-test, the point biserial correlation coefficient and receiver operating characteristic curve analysis were performed for statistical analysis. As a result, the accuracy, sensitivity, specificity, positive predictive value and negative predictive value of benign/malignant classification were 95.2% (119/125), 90.9% (40/44), 97.5% (79/81), 95.2% (40/42) and 95.2% (79/83) for the CAD scheme, respectively, and 79.2% (99/125), 90.9% (40/44), 72.8% (59/81), 64.5% (40/62) and 93.7% (59/63) for BI-RADS assessment, respectively. The area under the receiver operating characteristic curve (Az value) for the proposed CAD system using the combination of elastographic features was significantly higher than the Az value for visual assessment by the radiologists using BI-RADS (0.97 vs. 0.91). The results indicate that SSI elastography could be used for computer-aided feature extraction, and the proposed CAD method could improve the diagnostic accuracy of classification of breast tumors to avoid unnecessary biopsy. Furthermore, elastographic features of the peri-tumoral area have the potential to provide critical information in differential diagnosis." @default.
• W2088553642 created "2016-06-24" @default.
• W2088553642 creator A5009693528 @default.
• W2088553642 creator A5024810594 @default.
• W2088553642 creator A5024833275 @default.
• W2088553642 creator A5049789886 @default.
• W2088553642 creator A5069565516 @default.
• W2088553642 creator A5077396200 @default.
• W2088553642 creator A5090152485 @default.
• W2088553642 creator A5091545123 @default.
• W2088553642 date "2014-02-01" @default.
• W2088553642 modified "2023-09-23" @default.
• W2088553642 title "Computer-Aided Diagnosis Based on Quantitative Elastographic Features with Supersonic Shear Wave Imaging" @default.
• W2088553642 cites W134735751 @default.
• W2088553642 cites W1596717185 @default.
• W2088553642 cites W1969281710 @default.
• W2088553642 cites W1972275693 @default.
• W2088553642 cites W1974915238 @default.
• W2088553642 cites W1975591276 @default.
• W2088553642 cites W1978209772 @default.
• W2088553642 cites W2007677447 @default.
• W2088553642 cites W2007752234 @default.
• W2088553642 cites W2011897735 @default.
• W2088553642 cites W2013458670 @default.
• W2088553642 cites W2019652504 @default.
• W2088553642 cites W2028672930 @default.
• W2088553642 cites W2046191743 @default.
• W2088553642 cites W2047131506 @default.
• W2088553642 cites W2070897578 @default.
• W2088553642 cites W2101771332 @default.
• W2088553642 cites W2116040950 @default.
• W2088553642 cites W2132290789 @default.
• W2088553642 cites W2141744828 @default.
• W2088553642 cites W2150815979 @default.
• W2088553642 cites W2153770867 @default.
• W2088553642 cites W2157238234 @default.
• W2088553642 cites W2161349414 @default.
• W2088553642 cites W2163629353 @default.
• W2088553642 cites W2167669297 @default.
• W2088553642 doi "https://doi.org/10.1016/j.ultrasmedbio.2013.09.032" @default.
• W2088553642 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/24268454" @default.
• W2088553642 hasPublicationYear "2014" @default.
• W2088553642 type Work @default.
• W2088553642 sameAs 2088553642 @default.
• W2088553642 citedByCount "45" @default.
• W2088553642 countsByYear W20885536422015 @default.
• W2088553642 countsByYear W20885536422016 @default.
• W2088553642 countsByYear W20885536422017 @default.
• W2088553642 countsByYear W20885536422018 @default.
• W2088553642 countsByYear W20885536422019 @default.
• W2088553642 countsByYear W20885536422020 @default.
• W2088553642 countsByYear W20885536422021 @default.
• W2088553642 countsByYear W20885536422022 @default.
• W2088553642 countsByYear W20885536422023 @default.
• W2088553642 crossrefType "journal-article" @default.
• W2088553642 hasAuthorship W2088553642A5009693528 @default.
• W2088553642 hasAuthorship W2088553642A5024810594 @default.
• W2088553642 hasAuthorship W2088553642A5024833275 @default.
• W2088553642 hasAuthorship W2088553642A5049789886 @default.
• W2088553642 hasAuthorship W2088553642A5069565516 @default.
• W2088553642 hasAuthorship W2088553642A5077396200 @default.
• W2088553642 hasAuthorship W2088553642A5090152485 @default.
• W2088553642 hasAuthorship W2088553642A5091545123 @default.
• W2088553642 hasConcept C105795698 @default.
• W2088553642 hasConcept C121608353 @default.
• W2088553642 hasConcept C126322002 @default.
• W2088553642 hasConcept C126838900 @default.
• W2088553642 hasConcept C143753070 @default.
• W2088553642 hasConcept C154945302 @default.
• W2088553642 hasConcept C22679943 @default.
• W2088553642 hasConcept C2777432617 @default.
• W2088553642 hasConcept C2777690781 @default.
• W2088553642 hasConcept C2779098232 @default.
• W2088553642 hasConcept C2779549770 @default.
• W2088553642 hasConcept C2780472235 @default.
• W2088553642 hasConcept C33923547 @default.
• W2088553642 hasConcept C41008148 @default.
• W2088553642 hasConcept C530470458 @default.
• W2088553642 hasConcept C58471807 @default.
• W2088553642 hasConcept C71924100 @default.
• W2088553642 hasConceptScore W2088553642C105795698 @default.
• W2088553642 hasConceptScore W2088553642C121608353 @default.
• W2088553642 hasConceptScore W2088553642C126322002 @default.
• W2088553642 hasConceptScore W2088553642C126838900 @default.
• W2088553642 hasConceptScore W2088553642C143753070 @default.
• W2088553642 hasConceptScore W2088553642C154945302 @default.
• W2088553642 hasConceptScore W2088553642C22679943 @default.
• W2088553642 hasConceptScore W2088553642C2777432617 @default.
• W2088553642 hasConceptScore W2088553642C2777690781 @default.
• W2088553642 hasConceptScore W2088553642C2779098232 @default.
• W2088553642 hasConceptScore W2088553642C2779549770 @default.
• W2088553642 hasConceptScore W2088553642C2780472235 @default.
• W2088553642 hasConceptScore W2088553642C33923547 @default.
• W2088553642 hasConceptScore W2088553642C41008148 @default.
• W2088553642 hasConceptScore W2088553642C530470458 @default.
• W2088553642 hasConceptScore W2088553642C58471807 @default.
• W2088553642 hasConceptScore W2088553642C71924100 @default.
• W2088553642 hasIssue "2" @default.

• next