Matches in SemOpenAlex for { <https://semopenalex.org/work/W3047093923> ?p ?o ?g. }
- W3047093923 abstract "Abstract Background To investigate the feasibility of a knowledge-based automated intensity-modulated radiation therapy (IMRT) planning technique for locally advanced nasopharyngeal carcinoma (NPC) radiotherapy. Methods One hundred forty NPC patients treated with definitive radiation therapy with the step-and-shoot IMRT techniques were retrospectively selected and separated into a knowledge library ( n = 115) and a test library ( n = 25). For each patient in the knowledge library, the overlap volume histogram (OVH), target volume histogram (TVH) and dose objectives were extracted from the manually generated plan. 5-fold cross validation was performed to divide the patients in the knowledge library into 5 groups before validating one group by using the other 4 groups to train each neural network (NN) machine learning models. For patients in the test library, their OVH and TVH were then used by the trained models to predict a corresponding set of mean dose objectives, which were subsequently used to generate automated plans (APs) in Pinnacle planning system via an in-house developed automated scripting system. All APs were obtained after a single step of optimization. Manual plans (MPs) for the test patients were generated by an experienced medical physicist strictly following the established clinical protocols. The qualities of the APs and MPs were evaluated by an attending radiation oncologist. The dosimetric parameters for planning target volume (PTV) coverage and the organs-at-risk (OAR) sparing were also quantitatively measured and compared using Mann-Whitney U test and Bonferroni correction. Results APs and MPs had the same rating for more than 80% of the patients (19 out of 25) in the test group. Both AP and MP achieved PTV coverage criteria for no less than 80% of the patients. For each OAR, the number of APs achieving its criterion was similar to that in the MPs. The AP approach improved planning efficiency by greatly reducing the planning duration to about 17% of the MP (9.85 ± 1.13 min vs. 57.10 ± 6.35 min). Conclusion A robust and effective knowledge-based IMRT treatment planning technique for locally advanced NPC is developed. Patient specific dose objectives can be predicted by trained NN models based on the individual’s OVH and clinical TVH goals. The automated planning scripts can use these dose objectives to efficiently generate APs with largely shortened planning time. These APs had comparable dosimetric qualities when compared to our clinic’s manual plans." @default.
- W3047093923 created "2020-08-10" @default.
- W3047093923 creator A5003057332 @default.
- W3047093923 creator A5019778989 @default.
- W3047093923 creator A5028357347 @default.
- W3047093923 creator A5044512741 @default.
- W3047093923 creator A5044622898 @default.
- W3047093923 creator A5053838223 @default.
- W3047093923 creator A5054520644 @default.
- W3047093923 creator A5068802033 @default.
- W3047093923 creator A5077174799 @default.
- W3047093923 creator A5087454111 @default.
- W3047093923 date "2020-08-03" @default.
- W3047093923 modified "2023-10-17" @default.
- W3047093923 title "A knowledge-based intensity-modulated radiation therapy treatment planning technique for locally advanced nasopharyngeal carcinoma radiotherapy" @default.
- W3047093923 cites W1880492488 @default.
- W3047093923 cites W1967172105 @default.
- W3047093923 cites W1975492311 @default.
- W3047093923 cites W1978752707 @default.
- W3047093923 cites W1982675675 @default.
- W3047093923 cites W1992837984 @default.
- W3047093923 cites W2007234956 @default.
- W3047093923 cites W2016427306 @default.
- W3047093923 cites W2043054410 @default.
- W3047093923 cites W2061036312 @default.
- W3047093923 cites W2068359500 @default.
- W3047093923 cites W2074239781 @default.
- W3047093923 cites W2098637417 @default.
- W3047093923 cites W2108761320 @default.
- W3047093923 cites W2115588799 @default.
- W3047093923 cites W2146937987 @default.
- W3047093923 cites W2152298390 @default.
- W3047093923 cites W2164718209 @default.
- W3047093923 cites W2168650498 @default.
- W3047093923 cites W2258848048 @default.
- W3047093923 cites W2345224248 @default.
- W3047093923 cites W2512719816 @default.
- W3047093923 cites W2530107623 @default.
- W3047093923 cites W2560575446 @default.
- W3047093923 cites W2564920988 @default.
- W3047093923 cites W2729536336 @default.
- W3047093923 cites W2769151724 @default.
- W3047093923 cites W2898757811 @default.
- W3047093923 cites W2902421371 @default.
- W3047093923 doi "https://doi.org/10.1186/s13014-020-01626-z" @default.
- W3047093923 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7397573" @default.
- W3047093923 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32746873" @default.
- W3047093923 hasPublicationYear "2020" @default.
- W3047093923 type Work @default.
- W3047093923 sameAs 3047093923 @default.
- W3047093923 citedByCount "12" @default.
- W3047093923 countsByYear W30470939232021 @default.
- W3047093923 countsByYear W30470939232022 @default.
- W3047093923 countsByYear W30470939232023 @default.
- W3047093923 crossrefType "journal-article" @default.
- W3047093923 hasAuthorship W3047093923A5003057332 @default.
- W3047093923 hasAuthorship W3047093923A5019778989 @default.
- W3047093923 hasAuthorship W3047093923A5028357347 @default.
- W3047093923 hasAuthorship W3047093923A5044512741 @default.
- W3047093923 hasAuthorship W3047093923A5044622898 @default.
- W3047093923 hasAuthorship W3047093923A5053838223 @default.
- W3047093923 hasAuthorship W3047093923A5054520644 @default.
- W3047093923 hasAuthorship W3047093923A5068802033 @default.
- W3047093923 hasAuthorship W3047093923A5077174799 @default.
- W3047093923 hasAuthorship W3047093923A5087454111 @default.
- W3047093923 hasBestOaLocation W30470939231 @default.
- W3047093923 hasConcept C105795698 @default.
- W3047093923 hasConcept C126838900 @default.
- W3047093923 hasConcept C127808970 @default.
- W3047093923 hasConcept C19527891 @default.
- W3047093923 hasConcept C201645570 @default.
- W3047093923 hasConcept C2776017024 @default.
- W3047093923 hasConcept C2778997737 @default.
- W3047093923 hasConcept C2780198649 @default.
- W3047093923 hasConcept C2780920918 @default.
- W3047093923 hasConcept C2989005 @default.
- W3047093923 hasConcept C33923547 @default.
- W3047093923 hasConcept C509974204 @default.
- W3047093923 hasConcept C71924100 @default.
- W3047093923 hasConceptScore W3047093923C105795698 @default.
- W3047093923 hasConceptScore W3047093923C126838900 @default.
- W3047093923 hasConceptScore W3047093923C127808970 @default.
- W3047093923 hasConceptScore W3047093923C19527891 @default.
- W3047093923 hasConceptScore W3047093923C201645570 @default.
- W3047093923 hasConceptScore W3047093923C2776017024 @default.
- W3047093923 hasConceptScore W3047093923C2778997737 @default.
- W3047093923 hasConceptScore W3047093923C2780198649 @default.
- W3047093923 hasConceptScore W3047093923C2780920918 @default.
- W3047093923 hasConceptScore W3047093923C2989005 @default.
- W3047093923 hasConceptScore W3047093923C33923547 @default.
- W3047093923 hasConceptScore W3047093923C509974204 @default.
- W3047093923 hasConceptScore W3047093923C71924100 @default.
- W3047093923 hasFunder F4320321878 @default.
- W3047093923 hasFunder F4320336588 @default.
- W3047093923 hasIssue "1" @default.
- W3047093923 hasLocation W30470939231 @default.
- W3047093923 hasLocation W30470939232 @default.
- W3047093923 hasLocation W30470939233 @default.
- W3047093923 hasLocation W30470939234 @default.
- W3047093923 hasLocation W30470939235 @default.