FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2788894726> ?p ?o ?g. }

• W2788894726 endingPage "24" @default.
• W2788894726 startingPage "14" @default.
• W2788894726 abstract "The aim of our work is to assess the potential role of texture analysis (TA), applied to computed tomography (CT) simulation scans, in relation to the development of insufficiency fractures (IFs) in patients undergoing radiation therapy (RT) for pelvic malignancies.We analyzed patients undergoing pelvic RT from Jan-2010 to Dec-2016, 31 of whom had developed IFs of the pelvis. We analyzed CT simulation scans using LifeX Software©, and in particular we selected three regions of interest (ROI): L5 body, the sacrum and both the femoral heads. The ROI were automatically contoured using the treatment planning software Raystation©. TA parameters included parameters from the gray-level histogram, indices from sphericity and from the matrix of GLCM (gray level co-occurrence matrix). The IFs patients were matched (1:1 ratio) with control patients who had not developed IFs, and were matched for age, sex, type of tumor, menopausal status, RT dose and use of chemotherapy. Univariate and multivariate analyses (logistic regression) were used for statistical analysis.Significant TA parameters on univariate analysis included both parameters from the histogram distribution, as well from the matrix of GLCM. On logistic regression analysis the significant parameters were L5-energy [P=0.033, odds ratio (OR): 1.997, 95% CI: 1.059-3.767] and FH-Skewness (P=0.014, OR: 2.338, 95% CI: 1.191-4.591), with a R2: 0.268. A ROC curve was generated from the binary logistic regression, and the AUC was 0.741 (95% CI: 0.627-0.855, P=0.001, S.E.: 0.058).In our experience, 3D-bone CT TA can be used to stratify the risk of the patients to develop radiation-induced IFs. A prospective study will be conducted to validate these findings." @default.
• W2788894726 created "2018-03-06" @default.
• W2788894726 creator A5029767044 @default.
• W2788894726 creator A5031119709 @default.
• W2788894726 creator A5032872127 @default.
• W2788894726 creator A5034001084 @default.
• W2788894726 creator A5039073682 @default.
• W2788894726 creator A5050509008 @default.
• W2788894726 creator A5066343209 @default.
• W2788894726 creator A5066850001 @default.
• W2788894726 creator A5077344404 @default.
• W2788894726 creator A5080286550 @default.
• W2788894726 creator A5085661524 @default.
• W2788894726 date "2018-02-01" @default.
• W2788894726 modified "2023-09-26" @default.
• W2788894726 title "3D bone texture analysis as a potential predictor of radiation-induced insufficiency fractures" @default.
• W2788894726 cites W1582921328 @default.
• W2788894726 cites W1939179845 @default.
• W2788894726 cites W1965253679 @default.
• W2788894726 cites W1965797467 @default.
• W2788894726 cites W1970196293 @default.
• W2788894726 cites W1979421481 @default.
• W2788894726 cites W1989663148 @default.
• W2788894726 cites W1990658356 @default.
• W2788894726 cites W2007172413 @default.
• W2788894726 cites W2022250299 @default.
• W2788894726 cites W2029500301 @default.
• W2788894726 cites W2038036127 @default.
• W2788894726 cites W2045140392 @default.
• W2788894726 cites W2051967731 @default.
• W2788894726 cites W2055299092 @default.
• W2788894726 cites W2062862249 @default.
• W2788894726 cites W2063056802 @default.
• W2788894726 cites W2068233870 @default.
• W2788894726 cites W2094920479 @default.
• W2788894726 cites W2097623415 @default.
• W2788894726 cites W2100923989 @default.
• W2788894726 cites W2102265912 @default.
• W2788894726 cites W2106278786 @default.
• W2788894726 cites W2108077357 @default.
• W2788894726 cites W2108901528 @default.
• W2788894726 cites W2110670561 @default.
• W2788894726 cites W2115774529 @default.
• W2788894726 cites W2116888950 @default.
• W2788894726 cites W2136015139 @default.
• W2788894726 cites W2137576848 @default.
• W2788894726 cites W2148392699 @default.
• W2788894726 cites W2151180223 @default.
• W2788894726 cites W2157647768 @default.
• W2788894726 cites W2162463661 @default.
• W2788894726 cites W2267242200 @default.
• W2788894726 cites W2343997490 @default.
• W2788894726 cites W2414359316 @default.
• W2788894726 cites W2469514666 @default.
• W2788894726 cites W2517804208 @default.
• W2788894726 cites W2525663852 @default.
• W2788894726 cites W2530414627 @default.
• W2788894726 cites W2591649089 @default.
• W2788894726 cites W2593482127 @default.
• W2788894726 cites W2743281293 @default.
• W2788894726 cites W2752112887 @default.
• W2788894726 cites W2791826152 @default.
• W2788894726 cites W3003263481 @default.
• W2788894726 doi "https://doi.org/10.21037/qims.2018.02.01" @default.
• W2788894726 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5835655" @default.
• W2788894726 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29541619" @default.
• W2788894726 hasPublicationYear "2018" @default.
• W2788894726 type Work @default.
• W2788894726 sameAs 2788894726 @default.
• W2788894726 citedByCount "15" @default.
• W2788894726 countsByYear W27888947262019 @default.
• W2788894726 countsByYear W27888947262020 @default.
• W2788894726 countsByYear W27888947262021 @default.
• W2788894726 countsByYear W27888947262022 @default.
• W2788894726 countsByYear W27888947262023 @default.
• W2788894726 crossrefType "journal-article" @default.
• W2788894726 hasAuthorship W2788894726A5029767044 @default.
• W2788894726 hasAuthorship W2788894726A5031119709 @default.
• W2788894726 hasAuthorship W2788894726A5032872127 @default.
• W2788894726 hasAuthorship W2788894726A5034001084 @default.
• W2788894726 hasAuthorship W2788894726A5039073682 @default.
• W2788894726 hasAuthorship W2788894726A5050509008 @default.
• W2788894726 hasAuthorship W2788894726A5066343209 @default.
• W2788894726 hasAuthorship W2788894726A5066850001 @default.
• W2788894726 hasAuthorship W2788894726A5077344404 @default.
• W2788894726 hasAuthorship W2788894726A5080286550 @default.
• W2788894726 hasAuthorship W2788894726A5085661524 @default.
• W2788894726 hasBestOaLocation W27888947262 @default.
• W2788894726 hasConcept C105795698 @default.
• W2788894726 hasConcept C126322002 @default.
• W2788894726 hasConcept C126838900 @default.
• W2788894726 hasConcept C144301174 @default.
• W2788894726 hasConcept C151956035 @default.
• W2788894726 hasConcept C156957248 @default.
• W2788894726 hasConcept C161584116 @default.
• W2788894726 hasConcept C199163554 @default.
• W2788894726 hasConcept C2778357063 @default.
• W2788894726 hasConcept C2989005 @default.

• next