FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2018890401> ?p ?o ?g. }

• W2018890401 endingPage "011708" @default.
• W2018890401 startingPage "011708" @default.
• W2018890401 abstract "Purpose: To develop a pharmacokinetic modelfree framework to analyze the dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) data for assessment of response of brain metastases to radiation therapy. Methods: Twenty patients with 45 analyzable brain metastases had MRI scans prior to whole brain radiation therapy (WBRT) and at the end of the 2-week therapy. The volumetric DCE images covering the whole brain were acquired on a 3T scanner with approximately 5 s temporal resolution and a total scan time of about 3 min. DCE curves from all voxels of the 45 brain metastases were normalized and then temporally aligned. A DCE matrix that is constructed from the aligned DCE curves of all voxels of the 45 lesions obtained prior to WBRT is processed by principal component analysis to generate the principal components (PCs). Then, the projection coefficient maps prior to and at the end of WBRT are created for each lesion. Next, a pattern recognition technique, based upon fuzzy-c-means clustering, is used to delineate the tumor subvolumes relating to the value of the significant projection coefficients. The relationship between changes in different tumor subvolumes and treatment response was evaluated to differentiate responsive from stable and progressive tumors. Performance of the PC-defined tumor subvolume was also evaluated by receiver operating characteristic (ROC) analysis in prediction of nonresponsive lesions and compared with physiological-defined tumor subvolumes. Results: The projection coefficient maps of the first three PCs contain almost all response-related information in DCE curves of brain metastases. The first projection coefficient, related to the area under DCE curves, is the major component to determine response while the third one has a complimentary role. In ROC analysis, the area under curve of 0.88 ± 0.05 and 0.86 ± 0.06 were achieved for the PC-defined and physiological-defined tumor subvolume in response assessment. Conclusions: The PC-defined subvolume of a brain metastasis could predict tumor response to therapy similar to the physiological-defined one, while the former is determined more rapidly for clinical decision-making support." @default.
• W2018890401 created "2016-06-24" @default.
• W2018890401 creator A5020712237 @default.
• W2018890401 creator A5045647458 @default.
• W2018890401 creator A5046132413 @default.
• W2018890401 creator A5066404810 @default.
• W2018890401 date "2013-12-19" @default.
• W2018890401 modified "2023-10-17" @default.
• W2018890401 title "DCE-MRI defined subvolumes of a brain metastatic lesion by principle component analysis and fuzzy-c-means clustering for response assessment of radiation therapy" @default.
• W2018890401 cites W1968620779 @default.
• W2018890401 cites W1977666111 @default.
• W2018890401 cites W1980944064 @default.
• W2018890401 cites W2009828098 @default.
• W2018890401 cites W2019068225 @default.
• W2018890401 cites W2033042029 @default.
• W2018890401 cites W2037335795 @default.
• W2018890401 cites W2037803176 @default.
• W2018890401 cites W2042098439 @default.
• W2018890401 cites W2060526247 @default.
• W2018890401 cites W2060836485 @default.
• W2018890401 cites W2063999920 @default.
• W2018890401 cites W2076981660 @default.
• W2018890401 cites W2080099971 @default.
• W2018890401 cites W2091633428 @default.
• W2018890401 cites W2093446770 @default.
• W2018890401 cites W2107108336 @default.
• W2018890401 cites W2112923850 @default.
• W2018890401 cites W2117889023 @default.
• W2018890401 cites W2122268433 @default.
• W2018890401 cites W2127180395 @default.
• W2018890401 cites W2128625986 @default.
• W2018890401 cites W217928350 @default.
• W2018890401 cites W2328006959 @default.
• W2018890401 cites W2328176404 @default.
• W2018890401 cites W4232146711 @default.
• W2018890401 doi "https://doi.org/10.1118/1.4842556" @default.
• W2018890401 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3880380" @default.
• W2018890401 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/24387500" @default.
• W2018890401 hasPublicationYear "2013" @default.
• W2018890401 type Work @default.
• W2018890401 sameAs 2018890401 @default.
• W2018890401 citedByCount "12" @default.
• W2018890401 countsByYear W20188904012015 @default.
• W2018890401 countsByYear W20188904012016 @default.
• W2018890401 countsByYear W20188904012017 @default.
• W2018890401 countsByYear W20188904012018 @default.
• W2018890401 countsByYear W20188904012019 @default.
• W2018890401 countsByYear W20188904012021 @default.
• W2018890401 crossrefType "journal-article" @default.
• W2018890401 hasAuthorship W2018890401A5020712237 @default.
• W2018890401 hasAuthorship W2018890401A5045647458 @default.
• W2018890401 hasAuthorship W2018890401A5046132413 @default.
• W2018890401 hasAuthorship W2018890401A5066404810 @default.
• W2018890401 hasBestOaLocation W20188904012 @default.
• W2018890401 hasConcept C11413529 @default.
• W2018890401 hasConcept C126322002 @default.
• W2018890401 hasConcept C126838900 @default.
• W2018890401 hasConcept C143409427 @default.
• W2018890401 hasConcept C154945302 @default.
• W2018890401 hasConcept C27438332 @default.
• W2018890401 hasConcept C2989005 @default.
• W2018890401 hasConcept C41008148 @default.
• W2018890401 hasConcept C509974204 @default.
• W2018890401 hasConcept C54170458 @default.
• W2018890401 hasConcept C57493831 @default.
• W2018890401 hasConcept C58471807 @default.
• W2018890401 hasConcept C71924100 @default.
• W2018890401 hasConcept C73555534 @default.
• W2018890401 hasConcept C77331912 @default.
• W2018890401 hasConceptScore W2018890401C11413529 @default.
• W2018890401 hasConceptScore W2018890401C126322002 @default.
• W2018890401 hasConceptScore W2018890401C126838900 @default.
• W2018890401 hasConceptScore W2018890401C143409427 @default.
• W2018890401 hasConceptScore W2018890401C154945302 @default.
• W2018890401 hasConceptScore W2018890401C27438332 @default.
• W2018890401 hasConceptScore W2018890401C2989005 @default.
• W2018890401 hasConceptScore W2018890401C41008148 @default.
• W2018890401 hasConceptScore W2018890401C509974204 @default.
• W2018890401 hasConceptScore W2018890401C54170458 @default.
• W2018890401 hasConceptScore W2018890401C57493831 @default.
• W2018890401 hasConceptScore W2018890401C58471807 @default.
• W2018890401 hasConceptScore W2018890401C71924100 @default.
• W2018890401 hasConceptScore W2018890401C73555534 @default.
• W2018890401 hasConceptScore W2018890401C77331912 @default.
• W2018890401 hasFunder F4320332161 @default.
• W2018890401 hasIssue "1" @default.
• W2018890401 hasLocation W20188904011 @default.
• W2018890401 hasLocation W20188904012 @default.
• W2018890401 hasLocation W20188904013 @default.
• W2018890401 hasLocation W20188904014 @default.
• W2018890401 hasLocation W20188904015 @default.
• W2018890401 hasOpenAccess W2018890401 @default.
• W2018890401 hasPrimaryLocation W20188904011 @default.
• W2018890401 hasRelatedWork W2008302898 @default.
• W2018890401 hasRelatedWork W2059877597 @default.
• W2018890401 hasRelatedWork W2125310307 @default.
• W2018890401 hasRelatedWork W2384708512 @default.
• W2018890401 hasRelatedWork W2413640221 @default.

• next