FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2891968673> ?p ?o ?g. }

• W2891968673 endingPage "8" @default.
• W2891968673 startingPage "1" @default.
• W2891968673 abstract "This work provides proof-of-principle for two versions of a heuristic approach that automatically creates amorphous radiation therapy planning target volume (PTV) margins considering local effects of tumor shape and motion to ensure adequate voxel coverage with while striving to minimize PTV size. The resulting target thereby promotes disease control while minimizing the risk of normal tissue toxicity. This work describes the mixed-PDF algorithm and the independent-PDF algorithm which generate amorphous margins around a radiation therapy target by incorporating user-defined models of target motion. Both algorithms were applied to example targets – one circular and one “cashew-shaped.” Target motion was modeled by four probability density functions applied to the target quadrants. The spatially variant motion model illustrates the application of the algorithms even with tissue deformation. Performance of the margins was evaluated in silico with respect to voxelized target coverage and PTV size, and was compared to conventional techniques: a threshold-based probabilistic technique and an (an)isotropic expansion technique. To demonstrate the algorithm's clinical utility, a lung cancer patient was analyzed retrospectively. For this case, 4D CT measurements were combined with setup uncertainty to compare the PTV from the mixed-PDF algorithm with a PTV equivalent to the one used clinically. For both targets, the mixed-PDF algorithm performed best, followed by the independent-PDF algorithm, the threshold algorithm, and lastly, the (an)isotropic algorithm. Superior coverage was always achieved by the amorphous margin algorithms for a given PTV size. Alternatively, the margin required for a particular level of coverage was always smaller (8–15%) when created with the amorphous algorithms. For the lung cancer patient, the mixed-PDF algorithm resulted in a PTV that was 13% smaller than the clinical PTV while still achieving ≥99.9% coverage. The amorphous margin algorithms are better suited for the local effects of target shape and positional uncertainties than conventional margins. As a result, they provide superior target coverage with smaller PTVs, ensuring dose delivered to the target while decreasing the risk of normal tissue toxicity." @default.
• W2891968673 created "2018-09-27" @default.
• W2891968673 creator A5022547596 @default.
• W2891968673 date "2018-11-01" @default.
• W2891968673 modified "2023-09-25" @default.
• W2891968673 title "Generating amorphous target margins in radiation therapy to promote maximal target coverage with minimal target size" @default.
• W2891968673 cites W1558558113 @default.
• W2891968673 cites W1965829315 @default.
• W2891968673 cites W1965986016 @default.
• W2891968673 cites W1969719900 @default.
• W2891968673 cites W1970366904 @default.
• W2891968673 cites W1974741599 @default.
• W2891968673 cites W1977616639 @default.
• W2891968673 cites W1992568569 @default.
• W2891968673 cites W1996024947 @default.
• W2891968673 cites W1999488241 @default.
• W2891968673 cites W2000629071 @default.
• W2891968673 cites W2001367101 @default.
• W2891968673 cites W2008483189 @default.
• W2891968673 cites W2022394093 @default.
• W2891968673 cites W2025633794 @default.
• W2891968673 cites W2035995899 @default.
• W2891968673 cites W2042430294 @default.
• W2891968673 cites W2044592134 @default.
• W2891968673 cites W2049353247 @default.
• W2891968673 cites W2049691758 @default.
• W2891968673 cites W2051003058 @default.
• W2891968673 cites W2057480686 @default.
• W2891968673 cites W2074813252 @default.
• W2891968673 cites W2076795607 @default.
• W2891968673 cites W2088617308 @default.
• W2891968673 cites W2090688261 @default.
• W2891968673 cites W2103692418 @default.
• W2891968673 cites W2106466255 @default.
• W2891968673 cites W2111846547 @default.
• W2891968673 cites W2122062060 @default.
• W2891968673 cites W2126680055 @default.
• W2891968673 cites W2133208343 @default.
• W2891968673 cites W2149086815 @default.
• W2891968673 cites W2153654819 @default.
• W2891968673 cites W2161674690 @default.
• W2891968673 cites W2162827741 @default.
• W2891968673 cites W2167767036 @default.
• W2891968673 cites W2170074246 @default.
• W2891968673 cites W2170080153 @default.
• W2891968673 cites W2561213003 @default.
• W2891968673 cites W2594189057 @default.
• W2891968673 doi "https://doi.org/10.1016/j.cmpb.2018.09.003" @default.
• W2891968673 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30415709" @default.
• W2891968673 hasPublicationYear "2018" @default.
• W2891968673 type Work @default.
• W2891968673 sameAs 2891968673 @default.
• W2891968673 citedByCount "1" @default.
• W2891968673 countsByYear W28919686732021 @default.
• W2891968673 crossrefType "journal-article" @default.
• W2891968673 hasAuthorship W2891968673A5022547596 @default.
• W2891968673 hasConcept C105795698 @default.
• W2891968673 hasConcept C11413529 @default.
• W2891968673 hasConcept C119857082 @default.
• W2891968673 hasConcept C121332964 @default.
• W2891968673 hasConcept C126255220 @default.
• W2891968673 hasConcept C126322002 @default.
• W2891968673 hasConcept C154945302 @default.
• W2891968673 hasConcept C173801870 @default.
• W2891968673 hasConcept C184050105 @default.
• W2891968673 hasConcept C2776292839 @default.
• W2891968673 hasConcept C33923547 @default.
• W2891968673 hasConcept C41008148 @default.
• W2891968673 hasConcept C44249647 @default.
• W2891968673 hasConcept C49937458 @default.
• W2891968673 hasConcept C509974204 @default.
• W2891968673 hasConcept C54170458 @default.
• W2891968673 hasConcept C62520636 @default.
• W2891968673 hasConcept C71924100 @default.
• W2891968673 hasConcept C774472 @default.
• W2891968673 hasConceptScore W2891968673C105795698 @default.
• W2891968673 hasConceptScore W2891968673C11413529 @default.
• W2891968673 hasConceptScore W2891968673C119857082 @default.
• W2891968673 hasConceptScore W2891968673C121332964 @default.
• W2891968673 hasConceptScore W2891968673C126255220 @default.
• W2891968673 hasConceptScore W2891968673C126322002 @default.
• W2891968673 hasConceptScore W2891968673C154945302 @default.
• W2891968673 hasConceptScore W2891968673C173801870 @default.
• W2891968673 hasConceptScore W2891968673C184050105 @default.
• W2891968673 hasConceptScore W2891968673C2776292839 @default.
• W2891968673 hasConceptScore W2891968673C33923547 @default.
• W2891968673 hasConceptScore W2891968673C41008148 @default.
• W2891968673 hasConceptScore W2891968673C44249647 @default.
• W2891968673 hasConceptScore W2891968673C49937458 @default.
• W2891968673 hasConceptScore W2891968673C509974204 @default.
• W2891968673 hasConceptScore W2891968673C54170458 @default.
• W2891968673 hasConceptScore W2891968673C62520636 @default.
• W2891968673 hasConceptScore W2891968673C71924100 @default.
• W2891968673 hasConceptScore W2891968673C774472 @default.
• W2891968673 hasLocation W28919686731 @default.
• W2891968673 hasLocation W28919686732 @default.
• W2891968673 hasOpenAccess W2891968673 @default.
• W2891968673 hasPrimaryLocation W28919686731 @default.

• next