FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2917666676> ?p ?o ?g. }

• W2917666676 endingPage "9" @default.
• W2917666676 startingPage "1" @default.
• W2917666676 abstract "P urpose . To investigate the value of SUV metrics and radiomic features based on the ability of 18 F-FDG PET/CT in differentiating between breast lymphoma and breast carcinoma. Methods . A total of 67 breast nodules from 44 patients who underwent 18 F-FDG PET/CT pretreatment were retrospectively analyzed. Radiomic parameters and SUV metrics were extracted using the LIFEx package on PET and CT images. All texture parameters were divided into six groups: histogram (HISTO), SHAPE, gray-level co-occurrence matrix (GLCM), gray-level run-length matrix (GLRLM), neighborhood gray-level different matrix (NGLDM), and gray-level zone-length matrix (GLZLM). Receiver operating characteristics (ROC) curves were generated to evaluate the discriminative ability of each parameter, and the optimal parameter in each group was selected to generate a new predictive variable by using binary logistic regression. PET predictive variable, CT predictive variable, the combination of PET and CT predictive variables, and SUV max were compared in terms of areas under the curve (AUCs), sensitivity, specificity, and accuracy. Results . Except for SUVmin (<mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML id=M1><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn>0.971</mml:mn></mml:mrow></mml:math>), the averages of FDG uptake metrics of lymphoma were significantly higher than those of carcinoma (<mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML id=M2><mml:mrow><mml:mi>p</mml:mi><mml:mo>≤</mml:mo><mml:mn>0.001</mml:mn></mml:mrow></mml:math>), with the following median values: SUV mean , 4.75 versus 2.38 g/ml (<mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML id=M3><mml:mrow><mml:mi>P</mml:mi><mml:mo><</mml:mo><mml:mn>0.001</mml:mn></mml:mrow></mml:math>); SUV std , 2.04 versus 0.88 g/ml (<mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML id=M4><mml:mrow><mml:mi>P</mml:mi><mml:mo>=</mml:mo><mml:mn>0.001</mml:mn></mml:mrow></mml:math>); SUV max , 10.69 versus 4.76 g/ml (<mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML id=M5><mml:mrow><mml:mi>P</mml:mi><mml:mo>=</mml:mo><mml:mn>0.001</mml:mn></mml:mrow></mml:math>); SUV peak , 9.15 versus 2.78 g/ml (<mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML id=M6><mml:mrow><mml:mi>P</mml:mi><mml:mo><</mml:mo><mml:mn>0.001</mml:mn></mml:mrow></mml:math>); TLG, 42.24 versus 9.90 (<mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML id=M7><mml:mrow><mml:mi>P</mml:mi><mml:mo><</mml:mo><mml:mn>0.001</mml:mn></mml:mrow></mml:math>). In the ROC curves analysis based on radiomic features and SUV max , the AUC for SUV max was 0.747, for CT texture parameters was 0.729, for PET texture parameters was 0.751, and for the combination of CT and PET texture parameters was 0.771. Conclusion . The SUV metrics in 18 FDG PET/CT images showed a potential ability in the differentiation between breast lymphoma and carcinoma. The combination of SUV max and PET/CT texture analysis may be promising to provide an effectively discriminant modality for the differential diagnosis of breast lymphoma and carcinoma, even for the differentiation of subtypes of lymphoma." @default.
• W2917666676 created "2019-03-02" @default.
• W2917666676 creator A5008330501 @default.
• W2917666676 creator A5026111867 @default.
• W2917666676 creator A5027678690 @default.
• W2917666676 creator A5057348664 @default.
• W2917666676 creator A5084391555 @default.
• W2917666676 creator A5089449978 @default.
• W2917666676 creator A5090865900 @default.
• W2917666676 date "2019-02-25" @default.
• W2917666676 modified "2023-10-07" @default.
• W2917666676 title "Ability of ¹⁸F-FDG PET/CT Radiomic Features to Distinguish Breast Carcinoma from Breast Lymphoma" @default.
• W2917666676 cites W1902377121 @default.
• W2917666676 cites W1964634957 @default.
• W2917666676 cites W1974908050 @default.
• W2917666676 cites W1979193186 @default.
• W2917666676 cites W1987151740 @default.
• W2917666676 cites W2018071905 @default.
• W2917666676 cites W2033973189 @default.
• W2917666676 cites W2043444981 @default.
• W2917666676 cites W2043488614 @default.
• W2917666676 cites W2051613520 @default.
• W2917666676 cites W2058015212 @default.
• W2917666676 cites W2085672498 @default.
• W2917666676 cites W2087037219 @default.
• W2917666676 cites W2094492216 @default.
• W2917666676 cites W2100902283 @default.
• W2917666676 cites W2118192033 @default.
• W2917666676 cites W2119440128 @default.
• W2917666676 cites W2127007253 @default.
• W2917666676 cites W2142029155 @default.
• W2917666676 cites W2144198870 @default.
• W2917666676 cites W2153563443 @default.
• W2917666676 cites W2153665789 @default.
• W2917666676 cites W2154434563 @default.
• W2917666676 cites W2158770026 @default.
• W2917666676 cites W2160305510 @default.
• W2917666676 cites W2163972715 @default.
• W2917666676 cites W2278915112 @default.
• W2917666676 cites W2497475032 @default.
• W2917666676 cites W2564921842 @default.
• W2917666676 cites W2574541498 @default.
• W2917666676 cites W2606196069 @default.
• W2917666676 cites W2610646966 @default.
• W2917666676 cites W2796000042 @default.
• W2917666676 cites W2809848353 @default.
• W2917666676 cites W2888749348 @default.
• W2917666676 cites W2897449417 @default.
• W2917666676 cites W49664510 @default.
• W2917666676 doi "https://doi.org/10.1155/2019/4507694" @default.
• W2917666676 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6410462" @default.
• W2917666676 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30930700" @default.
• W2917666676 hasPublicationYear "2019" @default.
• W2917666676 type Work @default.
• W2917666676 sameAs 2917666676 @default.
• W2917666676 citedByCount "26" @default.
• W2917666676 countsByYear W29176666762019 @default.
• W2917666676 countsByYear W29176666762020 @default.
• W2917666676 countsByYear W29176666762021 @default.
• W2917666676 countsByYear W29176666762022 @default.
• W2917666676 countsByYear W29176666762023 @default.
• W2917666676 crossrefType "journal-article" @default.
• W2917666676 hasAuthorship W2917666676A5008330501 @default.
• W2917666676 hasAuthorship W2917666676A5026111867 @default.
• W2917666676 hasAuthorship W2917666676A5027678690 @default.
• W2917666676 hasAuthorship W2917666676A5057348664 @default.
• W2917666676 hasAuthorship W2917666676A5084391555 @default.
• W2917666676 hasAuthorship W2917666676A5089449978 @default.
• W2917666676 hasAuthorship W2917666676A5090865900 @default.
• W2917666676 hasBestOaLocation W29176666761 @default.
• W2917666676 hasConcept C105795698 @default.
• W2917666676 hasConcept C11413529 @default.
• W2917666676 hasConcept C121608353 @default.
• W2917666676 hasConcept C126322002 @default.
• W2917666676 hasConcept C151956035 @default.
• W2917666676 hasConcept C154945302 @default.
• W2917666676 hasConcept C2777432617 @default.
• W2917666676 hasConcept C2780472235 @default.
• W2917666676 hasConcept C2989005 @default.
• W2917666676 hasConcept C3018521938 @default.
• W2917666676 hasConcept C33923547 @default.
• W2917666676 hasConcept C41008148 @default.
• W2917666676 hasConcept C530470458 @default.
• W2917666676 hasConcept C58471807 @default.
• W2917666676 hasConcept C71924100 @default.
• W2917666676 hasConceptScore W2917666676C105795698 @default.
• W2917666676 hasConceptScore W2917666676C11413529 @default.
• W2917666676 hasConceptScore W2917666676C121608353 @default.
• W2917666676 hasConceptScore W2917666676C126322002 @default.
• W2917666676 hasConceptScore W2917666676C151956035 @default.
• W2917666676 hasConceptScore W2917666676C154945302 @default.
• W2917666676 hasConceptScore W2917666676C2777432617 @default.
• W2917666676 hasConceptScore W2917666676C2780472235 @default.
• W2917666676 hasConceptScore W2917666676C2989005 @default.
• W2917666676 hasConceptScore W2917666676C3018521938 @default.
• W2917666676 hasConceptScore W2917666676C33923547 @default.
• W2917666676 hasConceptScore W2917666676C41008148 @default.
• W2917666676 hasConceptScore W2917666676C530470458 @default.

• next