FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2922204311> ?p ?o ?g. }

• W2922204311 endingPage "5235" @default.
• W2922204311 startingPage "5227" @default.
• W2922204311 abstract "To investigate whether adaptive statistical iterative reconstruction (ASIR), a hybrid iterative CT image reconstruction algorithm, affects radiomics feature quantification in primary colorectal cancer compared to filtered back projection. Additionally, to establish whether radiomics from single-slice analysis undergo greater change than those from multi-slice analysis. Following review board approval, contrast-enhanced CT studies from 32 prospective primary colorectal cancer patients were reconstructed with 20% ASIR level increments, from 0 to 100%. Radiomics analysis was applied to single-slice and multi-slice regions of interest outlining the tumour: 70 features, including statistical (first-, second- and high-order) and fractal radiomics, were generated per dataset. The effect of ASIR was calculated by means of multilevel linear regression. Twenty-eight CT datasets were suitable for analysis. Incremental ASIR levels determined a significant change (p < 0.001) in most statistical radiomics features, best described by a simple linear relationship. First-order statistical features, including mean, standard deviation, skewness, kurtosis, energy and entropy, underwent a relatively small change in both single-slice and multi-slice analysis (median standardised effect size B = 0.08). Second-order statistical features, including grey-level co-occurrence and difference matrices, underwent a greater change in single-slice analysis (median B = 0.36) than in multi-slice analysis (median B = 0.13). Fractal features underwent a significant change only in single-slice analysis (median B = 0.49). Incremental levels of ASIR affect significantly CT radiomics quantification in primary colorectal cancer. Second-order statistical and fractal features derived from single-slice analysis undergo greater change than those from multi-slice analysis. • Incremental levels of ASIR determine a significant change in most statistical (first-, second- and high-order) CT radiomics features measured in primary colorectal cancer, best described by a linear relationship. • First-order statistical features undergo a small change, both from single-slice and multi-slice radiomics analyses. • Most second-order statistical features undergo a greater change in single-slice analysis than in multi-slice analysis. Fractal features are only affected in single-slice analysis." @default.
• W2922204311 created "2019-03-22" @default.
• W2922204311 creator A5000738567 @default.
• W2922204311 creator A5027221531 @default.
• W2922204311 creator A5027973321 @default.
• W2922204311 creator A5055831294 @default.
• W2922204311 creator A5063575652 @default.
• W2922204311 creator A5078417320 @default.
• W2922204311 creator A5078734584 @default.
• W2922204311 date "2019-03-18" @default.
• W2922204311 modified "2023-09-25" @default.
• W2922204311 title "Adaptive statistical iterative reconstruction (ASIR) affects CT radiomics quantification in primary colorectal cancer" @default.
• W2922204311 cites W1949839429 @default.
• W2922204311 cites W1987035613 @default.
• W2922204311 cites W1987054640 @default.
• W2922204311 cites W2004854050 @default.
• W2922204311 cites W2017579767 @default.
• W2922204311 cites W2039311608 @default.
• W2922204311 cites W2079352884 @default.
• W2922204311 cites W2103004421 @default.
• W2922204311 cites W2124822017 @default.
• W2922204311 cites W2133765759 @default.
• W2922204311 cites W2147821156 @default.
• W2922204311 cites W2150358707 @default.
• W2922204311 cites W2155346040 @default.
• W2922204311 cites W2167403983 @default.
• W2922204311 cites W2174661749 @default.
• W2922204311 cites W2189372563 @default.
• W2922204311 cites W2190239095 @default.
• W2922204311 cites W2263252298 @default.
• W2922204311 cites W2313463556 @default.
• W2922204311 cites W2327203407 @default.
• W2922204311 cites W2346265746 @default.
• W2922204311 cites W2346343836 @default.
• W2922204311 cites W2401040035 @default.
• W2922204311 cites W2461805626 @default.
• W2922204311 cites W2496058887 @default.
• W2922204311 cites W2514999246 @default.
• W2922204311 cites W2518474721 @default.
• W2922204311 cites W2523312410 @default.
• W2922204311 cites W2529700497 @default.
• W2922204311 cites W2530038065 @default.
• W2922204311 cites W2559998622 @default.
• W2922204311 cites W2564073870 @default.
• W2922204311 cites W2570633628 @default.
• W2922204311 cites W2579949149 @default.
• W2922204311 cites W2603308445 @default.
• W2922204311 cites W2611179351 @default.
• W2922204311 cites W2612568707 @default.
• W2922204311 cites W2737453412 @default.
• W2922204311 doi "https://doi.org/10.1007/s00330-019-06073-3" @default.
• W2922204311 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6717179" @default.
• W2922204311 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30887205" @default.
• W2922204311 hasPublicationYear "2019" @default.
• W2922204311 type Work @default.
• W2922204311 sameAs 2922204311 @default.
• W2922204311 citedByCount "24" @default.
• W2922204311 countsByYear W29222043112019 @default.
• W2922204311 countsByYear W29222043112020 @default.
• W2922204311 countsByYear W29222043112021 @default.
• W2922204311 countsByYear W29222043112022 @default.
• W2922204311 countsByYear W29222043112023 @default.
• W2922204311 crossrefType "journal-article" @default.
• W2922204311 hasAuthorship W2922204311A5000738567 @default.
• W2922204311 hasAuthorship W2922204311A5027221531 @default.
• W2922204311 hasAuthorship W2922204311A5027973321 @default.
• W2922204311 hasAuthorship W2922204311A5055831294 @default.
• W2922204311 hasAuthorship W2922204311A5063575652 @default.
• W2922204311 hasAuthorship W2922204311A5078417320 @default.
• W2922204311 hasAuthorship W2922204311A5078734584 @default.
• W2922204311 hasBestOaLocation W29222043111 @default.
• W2922204311 hasConcept C105795698 @default.
• W2922204311 hasConcept C118552586 @default.
• W2922204311 hasConcept C121608353 @default.
• W2922204311 hasConcept C122342681 @default.
• W2922204311 hasConcept C126322002 @default.
• W2922204311 hasConcept C126838900 @default.
• W2922204311 hasConcept C141379421 @default.
• W2922204311 hasConcept C16568411 @default.
• W2922204311 hasConcept C166963901 @default.
• W2922204311 hasConcept C2778559731 @default.
• W2922204311 hasConcept C2779889316 @default.
• W2922204311 hasConcept C2989005 @default.
• W2922204311 hasConcept C33923547 @default.
• W2922204311 hasConcept C48921125 @default.
• W2922204311 hasConcept C526805850 @default.
• W2922204311 hasConcept C71924100 @default.
• W2922204311 hasConceptScore W2922204311C105795698 @default.
• W2922204311 hasConceptScore W2922204311C118552586 @default.
• W2922204311 hasConceptScore W2922204311C121608353 @default.
• W2922204311 hasConceptScore W2922204311C122342681 @default.
• W2922204311 hasConceptScore W2922204311C126322002 @default.
• W2922204311 hasConceptScore W2922204311C126838900 @default.
• W2922204311 hasConceptScore W2922204311C141379421 @default.
• W2922204311 hasConceptScore W2922204311C16568411 @default.
• W2922204311 hasConceptScore W2922204311C166963901 @default.
• W2922204311 hasConceptScore W2922204311C2778559731 @default.
• W2922204311 hasConceptScore W2922204311C2779889316 @default.

• next