FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4292421504> ?p ?o ?g. }

• W4292421504 endingPage "185011" @default.
• W4292421504 startingPage "185011" @default.
• W4292421504 abstract "Objective.CT-mesh hybrid phantoms (or 'hybrid(s)') made from integrated patient CT data and mesh-type reference computational phantoms (MRCPs) can be beneficial for patient-specific whole-body dose evaluation, but this benefit has yet to be evaluated for second cancer risk prediction. The purpose of this study is to compare the hybrid's ability to predict risk throughout the body with a patient-scaled MRCP against ground truth whole-body CTs (WBCTs).Approach.Head and neck active scanning proton treatment plans were created for and simulated on seven hybrids and the corresponding scaled MRCPs and WBCTs. Equivalent dose throughout the body was calculated and input into five second cancer risk models for both excess absolute and excess relative risk (EAR and ERR). The hybrid phantom was evaluated by comparing equivalent dose and risk predictions against the WBCT.Main results.The hybrid most frequently provides whole-body second cancer risk predictions which are closer to the ground truth when compared to a scaled MRCP alone. The performance of the hybrid relative to the scaled MRCP was consistent across ERR, EAR, and all risk models. For all in-field organs, where the hybrid shares the WBCT anatomy, the hybrid was better than or equal to the scaled MRCP for both equivalent dose and risk prediction. For out-of-field organs across all patients, the hybrid's equivalent dose prediction was superior than the scaled MRCP in 48% of all comparisons, equivalent for 34%, and inferior for 18%. For risk assessment in the same organs, the hybrid's prediction was superior than the scaled MRCP in 51.8% of all comparisons, equivalent in 28.6%, and inferior in 19.6%.Significance.Whole-body risk predictions from the CT-mesh hybrid have shown to be more accurate than those from a reference phantom alone. These hybrids could aid in risk-optimized treatment planning and individual risk assessment to minimize second cancer incidence." @default.
• W4292421504 created "2022-08-20" @default.
• W4292421504 creator A5000377815 @default.
• W4292421504 creator A5001234563 @default.
• W4292421504 creator A5005983158 @default.
• W4292421504 creator A5013432984 @default.
• W4292421504 creator A5017065075 @default.
• W4292421504 creator A5019429498 @default.
• W4292421504 creator A5027114196 @default.
• W4292421504 creator A5032916705 @default.
• W4292421504 creator A5038323479 @default.
• W4292421504 creator A5064852814 @default.
• W4292421504 creator A5075018635 @default.
• W4292421504 date "2022-09-12" @default.
• W4292421504 modified "2023-09-30" @default.
• W4292421504 title "Applications of a patient-specific whole-body CT-mesh hybrid computational phantom in second cancer risk prediction" @default.
• W4292421504 cites W168591761 @default.
• W4292421504 cites W1974343556 @default.
• W4292421504 cites W1977288570 @default.
• W4292421504 cites W1986640811 @default.
• W4292421504 cites W1994323746 @default.
• W4292421504 cites W1996796091 @default.
• W4292421504 cites W2006491639 @default.
• W4292421504 cites W2015758016 @default.
• W4292421504 cites W2028058188 @default.
• W4292421504 cites W2028855764 @default.
• W4292421504 cites W2031022814 @default.
• W4292421504 cites W2040228072 @default.
• W4292421504 cites W2043182115 @default.
• W4292421504 cites W2045415729 @default.
• W4292421504 cites W2051789604 @default.
• W4292421504 cites W2053000325 @default.
• W4292421504 cites W2055844668 @default.
• W4292421504 cites W2062496164 @default.
• W4292421504 cites W2075638923 @default.
• W4292421504 cites W2086862863 @default.
• W4292421504 cites W2094153418 @default.
• W4292421504 cites W2099602823 @default.
• W4292421504 cites W2128158076 @default.
• W4292421504 cites W2140430330 @default.
• W4292421504 cites W2144573642 @default.
• W4292421504 cites W2175529401 @default.
• W4292421504 cites W2190085814 @default.
• W4292421504 cites W2278629921 @default.
• W4292421504 cites W2314904739 @default.
• W4292421504 cites W2464390791 @default.
• W4292421504 cites W2583373195 @default.
• W4292421504 cites W2592466328 @default.
• W4292421504 cites W2625995085 @default.
• W4292421504 cites W2728421336 @default.
• W4292421504 cites W2754242346 @default.
• W4292421504 cites W2811034983 @default.
• W4292421504 cites W2811438356 @default.
• W4292421504 cites W2896774133 @default.
• W4292421504 cites W2951071083 @default.
• W4292421504 cites W2997781629 @default.
• W4292421504 cites W3011461645 @default.
• W4292421504 cites W3013197393 @default.
• W4292421504 cites W3018502512 @default.
• W4292421504 cites W3019546227 @default.
• W4292421504 cites W3027310471 @default.
• W4292421504 cites W3038580122 @default.
• W4292421504 cites W3044029864 @default.
• W4292421504 cites W3119685863 @default.
• W4292421504 cites W3133351940 @default.
• W4292421504 cites W4205589723 @default.
• W4292421504 cites W83990173 @default.
• W4292421504 doi "https://doi.org/10.1088/1361-6560/ac8851" @default.
• W4292421504 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35944528" @default.
• W4292421504 hasPublicationYear "2022" @default.
• W4292421504 type Work @default.
• W4292421504 citedByCount "0" @default.
• W4292421504 crossrefType "journal-article" @default.
• W4292421504 hasAuthorship W4292421504A5000377815 @default.
• W4292421504 hasAuthorship W4292421504A5001234563 @default.
• W4292421504 hasAuthorship W4292421504A5005983158 @default.
• W4292421504 hasAuthorship W4292421504A5013432984 @default.
• W4292421504 hasAuthorship W4292421504A5017065075 @default.
• W4292421504 hasAuthorship W4292421504A5019429498 @default.
• W4292421504 hasAuthorship W4292421504A5027114196 @default.
• W4292421504 hasAuthorship W4292421504A5032916705 @default.
• W4292421504 hasAuthorship W4292421504A5038323479 @default.
• W4292421504 hasAuthorship W4292421504A5064852814 @default.
• W4292421504 hasAuthorship W4292421504A5075018635 @default.
• W4292421504 hasBestOaLocation W42924215041 @default.
• W4292421504 hasConcept C104293457 @default.
• W4292421504 hasConcept C121608353 @default.
• W4292421504 hasConcept C126322002 @default.
• W4292421504 hasConcept C126838900 @default.
• W4292421504 hasConcept C2776530083 @default.
• W4292421504 hasConcept C2989005 @default.
• W4292421504 hasConcept C41008148 @default.
• W4292421504 hasConcept C71924100 @default.
• W4292421504 hasConceptScore W4292421504C104293457 @default.
• W4292421504 hasConceptScore W4292421504C121608353 @default.
• W4292421504 hasConceptScore W4292421504C126322002 @default.
• W4292421504 hasConceptScore W4292421504C126838900 @default.
• W4292421504 hasConceptScore W4292421504C2776530083 @default.

• next