Matches in SemOpenAlex for { <https://semopenalex.org/work/W2028486697> ?p ?o ?g. }
Showing items 1 to 74 of
74
with 100 items per page.
- W2028486697 endingPage "S732" @default.
- W2028486697 startingPage "S732" @default.
- W2028486697 abstract "Delineation of Locally Advanced Pancreatic Adenocarcinoma (PDAC) for radiotherapy (RT) is challenging due to its desmoplastic component contributing to the tumor mass and poor contrast from surrounding organs (e.g., duodenum). Metabolic imaging (e.g., FDG-PET) may improve vital tumor tissue identification, however has been limited by a) lack of systematic target delineation procedures and b) the inability to use SUV thresholding in commercially available treatment planning systems (TPS). This work compares PET based target delineation methods to contrast enhanced CT-based (CECT) target delineation for patients undergoing chemoradiation plus the Akt-inhibitor nelfinavir for locally advanced pancreatic cancers (PDAC). For the first ten patients on an ethics approved protocol, gross tumor volumes (GTV) determined on CECT and PET imaging were compared. In stand-alone image analysis software, CECTs and associated contours generated in the TPS were used as the baseline to which PET images were co-registered with deformable registration. PET based targets were delineated using methods previously reported for other tumor sites including the generally accepted minimum SUV for malignant tumors of 2.5 (GTV2.5), 42% maximum SUV (GTV42), a simplified signal to background ratio (GTVbg), and a quantitative visual inspection method (GTVvi). PET based GTVs generated in the TPS (GTVtps), using voxel intensities without SUV thresholding, were also compared to the other methods. Over all patients and methods the mean target SUVmax (range) was 9.3 (6.2, 15.6). The population mean (range) GTVCECT and GTVtps were 38.0 cm3 (6.5, 73.4), and 34.0 cm3 (8.3, 62.0) respectively. Substantial differences were found between the 4 SUV-based target delineation methods that correlated to target heterogeneity, SUVmax and lesion size. GTVs were largest using GTVbg (mean 58.2cm3), and smallest using GTV42 (mean 20.2cm3). GTVvi correlated best with GTVCECT (r = 0.76, p = 0.32) and GTV42 least (r = 0.03, p = 0.05). GTVtps corresponded both spatially and volumetrically well with CECTGTV (r = 0.78) and GTVvi (r = 0.91).In patients with large tumors, having necrotic cores, both the GTV42 and GTVvi methods grossly underestimated the tumor volume, by excluding the core. However, this may be of use in true biologic dose painting planning. FDG-PET can be used to complement information from CECT for PDAC GTV generation in RT planning. Further validation and spatial quantification of the most appropriate method of target delineation is required. The impact of the presence of biliary stents, and target heterogeneity on PET-based target delineation as well as on treatment plan dosimetry is currently on-going." @default.
- W2028486697 created "2016-06-24" @default.
- W2028486697 creator A5019954447 @default.
- W2028486697 creator A5062623247 @default.
- W2028486697 creator A5074404084 @default.
- W2028486697 creator A5080979202 @default.
- W2028486697 date "2011-10-01" @default.
- W2028486697 modified "2023-09-27" @default.
- W2028486697 title "Comparison of Locally Advanced Pancreatic Cancer Target Definition Methods on 18FDG-PET images for Radiotherapy Treatment Planning" @default.
- W2028486697 doi "https://doi.org/10.1016/j.ijrobp.2011.06.1305" @default.
- W2028486697 hasPublicationYear "2011" @default.
- W2028486697 type Work @default.
- W2028486697 sameAs 2028486697 @default.
- W2028486697 citedByCount "1" @default.
- W2028486697 countsByYear W20284866972014 @default.
- W2028486697 crossrefType "journal-article" @default.
- W2028486697 hasAuthorship W2028486697A5019954447 @default.
- W2028486697 hasAuthorship W2028486697A5062623247 @default.
- W2028486697 hasAuthorship W2028486697A5074404084 @default.
- W2028486697 hasAuthorship W2028486697A5080979202 @default.
- W2028486697 hasBestOaLocation W20284866971 @default.
- W2028486697 hasConcept C115961682 @default.
- W2028486697 hasConcept C121608353 @default.
- W2028486697 hasConcept C126322002 @default.
- W2028486697 hasConcept C126838900 @default.
- W2028486697 hasConcept C127077266 @default.
- W2028486697 hasConcept C154945302 @default.
- W2028486697 hasConcept C191178318 @default.
- W2028486697 hasConcept C201645570 @default.
- W2028486697 hasConcept C2775842073 @default.
- W2028486697 hasConcept C2780210213 @default.
- W2028486697 hasConcept C2908647359 @default.
- W2028486697 hasConcept C2989005 @default.
- W2028486697 hasConcept C41008148 @default.
- W2028486697 hasConcept C509974204 @default.
- W2028486697 hasConcept C71924100 @default.
- W2028486697 hasConcept C99454951 @default.
- W2028486697 hasConceptScore W2028486697C115961682 @default.
- W2028486697 hasConceptScore W2028486697C121608353 @default.
- W2028486697 hasConceptScore W2028486697C126322002 @default.
- W2028486697 hasConceptScore W2028486697C126838900 @default.
- W2028486697 hasConceptScore W2028486697C127077266 @default.
- W2028486697 hasConceptScore W2028486697C154945302 @default.
- W2028486697 hasConceptScore W2028486697C191178318 @default.
- W2028486697 hasConceptScore W2028486697C201645570 @default.
- W2028486697 hasConceptScore W2028486697C2775842073 @default.
- W2028486697 hasConceptScore W2028486697C2780210213 @default.
- W2028486697 hasConceptScore W2028486697C2908647359 @default.
- W2028486697 hasConceptScore W2028486697C2989005 @default.
- W2028486697 hasConceptScore W2028486697C41008148 @default.
- W2028486697 hasConceptScore W2028486697C509974204 @default.
- W2028486697 hasConceptScore W2028486697C71924100 @default.
- W2028486697 hasConceptScore W2028486697C99454951 @default.
- W2028486697 hasIssue "2" @default.
- W2028486697 hasLocation W20284866971 @default.
- W2028486697 hasOpenAccess W2028486697 @default.
- W2028486697 hasPrimaryLocation W20284866971 @default.
- W2028486697 hasRelatedWork W1965188844 @default.
- W2028486697 hasRelatedWork W1967743834 @default.
- W2028486697 hasRelatedWork W1993600773 @default.
- W2028486697 hasRelatedWork W2051645517 @default.
- W2028486697 hasRelatedWork W2070705913 @default.
- W2028486697 hasRelatedWork W2363834598 @default.
- W2028486697 hasRelatedWork W2402643636 @default.
- W2028486697 hasRelatedWork W2909852936 @default.
- W2028486697 hasRelatedWork W2951337402 @default.
- W2028486697 hasRelatedWork W4243045879 @default.
- W2028486697 hasVolume "81" @default.
- W2028486697 isParatext "false" @default.
- W2028486697 isRetracted "false" @default.
- W2028486697 magId "2028486697" @default.
- W2028486697 workType "article" @default.