FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4307993096> ?p ?o ?g. }

• W4307993096 abstract "<p><strong>Purpose</strong></p> <p>Accurate and timely diagnosis of breast carcinoma is very crucial because of its high incidence and high morbidity. Screening can improve overall prognosis by detecting the disease early. Biopsy remains as the gold standard for pathological confirmation of malignancy and tumour grading. The development of diagnostic imaging techniques as an alternative for the rapid and accurate characterization of breast masses is necessitated. Quantitative ultrasound (QUS) spectroscopy is a modality well suited for this purpose. This study was carried out to evaluate different texture analysis methods applied on QUS spectral parametric images for the characterization of breast lesions.</p> <h3><strong>Methods</strong></h3> <p>Parametric images of mid-band-fit (MBF), spectral-slope (SS), spectral-intercept (SI), average scatterer diameter (ASD), and average acoustic concentration (AAC) were determined using QUS spectroscopy from 193 patients with breast lesions. Texture methods were used to quantify heterogeneities of the parametric images. Three statistical-based approaches for texture analysis that include Gray Level Co-occurrence Matrix (GLCM), Gray Level Run-length Matrix (GRLM), and Gray Level Size Zone Matrix (GLSZM) methods were evaluated. QUS and texture-parameters were determined from both tumour core and a 5-mm tumour margin and were used in comparison to histopathological analysis in order to classify breast lesions as either benign or malignant. We developed a diagnostic model using different classification algorithms including linear discriminant analysis (LDA), <em>k</em>-nearest neighbours (KNN), support vector machine with radial basis function kernel (SVM-RBF), and an artificial neural network (ANN). Model performance was evaluated using leave-one-out cross-validation (LOOCV) and hold-out validation.</p> <h3><strong>Results</strong></h3> <p>Classifier performances ranged from 73% to 91% in terms of accuracy dependent on tumour margin inclusion and classifier methodology. Utilizing information from tumour core alone, the ANN achieved the best classification performance of 93% sensitivity, 88% specificity, 91% accuracy, 0.95 AUC using QUS parameters and their GLSZM texture features.</p> <h3><strong>Conclusions</strong></h3> <p>A QUS-based framework and texture analysis methods enabled classification of breast lesions with >90% accuracy. The results suggest that optimizing method for extracting discriminative textural features from QUS spectral parametric images can improve classification performance. Evaluation of the proposed technique on a larger cohort of patients with proper validation technique demonstrated the robustness and generalization of the approach.</p>" @default.
• W4307993096 created "2022-11-07" @default.
• W4307993096 creator A5027024186 @default.
• W4307993096 creator A5029323070 @default.
• W4307993096 creator A5036374472 @default.
• W4307993096 creator A5068273693 @default.
• W4307993096 date "2022-11-02" @default.
• W4307993096 modified "2023-10-17" @default.
• W4307993096 title "Comparison of methods for texture analysis of QUS parametric images in the characterization of breast lesions" @default.
• W4307993096 doi "https://doi.org/10.32920/21291015" @default.
• W4307993096 hasPublicationYear "2022" @default.
• W4307993096 type Work @default.
• W4307993096 citedByCount "0" @default.
• W4307993096 crossrefType "posted-content" @default.
• W4307993096 hasAuthorship W4307993096A5027024186 @default.
• W4307993096 hasAuthorship W4307993096A5029323070 @default.
• W4307993096 hasAuthorship W4307993096A5036374472 @default.
• W4307993096 hasAuthorship W4307993096A5068273693 @default.
• W4307993096 hasBestOaLocation W43079930961 @default.
• W4307993096 hasConcept C105795698 @default.
• W4307993096 hasConcept C117251300 @default.
• W4307993096 hasConcept C121608353 @default.
• W4307993096 hasConcept C126322002 @default.
• W4307993096 hasConcept C126838900 @default.
• W4307993096 hasConcept C142724271 @default.
• W4307993096 hasConcept C18903297 @default.
• W4307993096 hasConcept C2777286243 @default.
• W4307993096 hasConcept C2779399171 @default.
• W4307993096 hasConcept C2989005 @default.
• W4307993096 hasConcept C33923547 @default.
• W4307993096 hasConcept C530470458 @default.
• W4307993096 hasConcept C69738355 @default.
• W4307993096 hasConcept C71924100 @default.
• W4307993096 hasConcept C86803240 @default.
• W4307993096 hasConceptScore W4307993096C105795698 @default.
• W4307993096 hasConceptScore W4307993096C117251300 @default.
• W4307993096 hasConceptScore W4307993096C121608353 @default.
• W4307993096 hasConceptScore W4307993096C126322002 @default.
• W4307993096 hasConceptScore W4307993096C126838900 @default.
• W4307993096 hasConceptScore W4307993096C142724271 @default.
• W4307993096 hasConceptScore W4307993096C18903297 @default.
• W4307993096 hasConceptScore W4307993096C2777286243 @default.
• W4307993096 hasConceptScore W4307993096C2779399171 @default.
• W4307993096 hasConceptScore W4307993096C2989005 @default.
• W4307993096 hasConceptScore W4307993096C33923547 @default.
• W4307993096 hasConceptScore W4307993096C530470458 @default.
• W4307993096 hasConceptScore W4307993096C69738355 @default.
• W4307993096 hasConceptScore W4307993096C71924100 @default.
• W4307993096 hasConceptScore W4307993096C86803240 @default.
• W4307993096 hasLocation W43079930961 @default.
• W4307993096 hasLocation W43079930962 @default.
• W4307993096 hasLocation W43079930963 @default.
• W4307993096 hasLocation W43079930964 @default.
• W4307993096 hasOpenAccess W4307993096 @default.
• W4307993096 hasPrimaryLocation W43079930961 @default.
• W4307993096 hasRelatedWork W141524600 @default.
• W4307993096 hasRelatedWork W1841185769 @default.
• W4307993096 hasRelatedWork W2034017698 @default.
• W4307993096 hasRelatedWork W2042707544 @default.
• W4307993096 hasRelatedWork W2151039812 @default.
• W4307993096 hasRelatedWork W2155138342 @default.
• W4307993096 hasRelatedWork W2155887765 @default.
• W4307993096 hasRelatedWork W2902148150 @default.
• W4307993096 hasRelatedWork W3038227910 @default.
• W4307993096 hasRelatedWork W3047967522 @default.
• W4307993096 isParatext "false" @default.
• W4307993096 isRetracted "false" @default.
• W4307993096 workType "article" @default.