FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2055897013> ?p ?o ?g. }

• W2055897013 endingPage "182" @default.
• W2055897013 startingPage "173" @default.
• W2055897013 abstract "Many radiotherapy treatment plans involve some level of standardization (e.g., in terms of beam ballistics, collimator settings, and wedge angles), which is determined primarily by tumor site and stage. If patient-to-patient variations in the size and shape of relevant anatomical structures for a given treatment site are adequately sampled, then it would seem possible to develop a general method for automatically mapping individual patient anatomy to a corresponding set of treatment variables. A medical expert system approach to standardized treatment planning was developed that should lead to improved planning efficiency and consistency.The expert system was designed to specify treatment variables for new patients based upon a set of templates (a database of treatment plans for previous patients) and a similarity metric for determining the goodness of fit between the relevant anatomy of new patients and patients in the database. A set of artificial neural networks was used to optimize the treatment variables to the individual patient. A simplified example, a four-field box technique for prostate treatments based upon a single external contour, was used to test the viability of the approach.For a group of new prostate patients, treatment variables specified by the expert system were compared to treatment variables chosen by the dosimetrists. Performance criteria included dose uniformity within the target region and dose to surrounding critical organs. For this standardized prostate technique, a database consisting of approximately 75 patient records was required for the expert system performance to approach that of the dosimetrists.An expert system approach to standardized treatment planning has the potential of improving the overall efficiency of the planning process by reducing the number of iterations required to generate an optimized dose distribution, and to function most effectively, should be closely integrated with a dosimetric based treatment planning system." @default.
• W2055897013 created "2016-06-24" @default.
• W2055897013 creator A5004439881 @default.
• W2055897013 creator A5006262964 @default.
• W2055897013 date "1998-04-01" @default.
• W2055897013 modified "2023-09-29" @default.
• W2055897013 title "A Medical Expert System Approach Using Artificial Neural Networks for Standardized Treatment Planning" @default.
• W2055897013 cites W1498436455 @default.
• W2055897013 cites W15301450 @default.
• W2055897013 cites W1586113351 @default.
• W2055897013 cites W1597286183 @default.
• W2055897013 cites W1885527984 @default.
• W2055897013 cites W1966604596 @default.
• W2055897013 cites W1974788427 @default.
• W2055897013 cites W1975693709 @default.
• W2055897013 cites W1987006437 @default.
• W2055897013 cites W2000768365 @default.
• W2055897013 cites W2003454866 @default.
• W2055897013 cites W2009375605 @default.
• W2055897013 cites W2014438224 @default.
• W2055897013 cites W2016104670 @default.
• W2055897013 cites W2016967485 @default.
• W2055897013 cites W2019449196 @default.
• W2055897013 cites W2030472270 @default.
• W2055897013 cites W2048905028 @default.
• W2055897013 cites W2050525558 @default.
• W2055897013 cites W2051220667 @default.
• W2055897013 cites W2061191702 @default.
• W2055897013 cites W2065978261 @default.
• W2055897013 cites W2067943499 @default.
• W2055897013 cites W2070173579 @default.
• W2055897013 cites W2077304802 @default.
• W2055897013 cites W2082355781 @default.
• W2055897013 cites W2095425517 @default.
• W2055897013 cites W2101927907 @default.
• W2055897013 cites W2102121645 @default.
• W2055897013 cites W2111926818 @default.
• W2055897013 cites W2128718068 @default.
• W2055897013 cites W2144219012 @default.
• W2055897013 cites W2164086703 @default.
• W2055897013 cites W2171697870 @default.
• W2055897013 cites W2293063825 @default.
• W2055897013 cites W2404152114 @default.
• W2055897013 cites W2418287635 @default.
• W2055897013 cites W2766736793 @default.
• W2055897013 cites W2799114752 @default.
• W2055897013 cites W3022351671 @default.
• W2055897013 cites W3207342693 @default.
• W2055897013 cites W55415904 @default.
• W2055897013 cites W65738273 @default.
• W2055897013 cites W78534990 @default.
• W2055897013 doi "https://doi.org/10.1016/s0360-3016(98)00035-2" @default.
• W2055897013 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/9588932" @default.
• W2055897013 hasPublicationYear "1998" @default.
• W2055897013 type Work @default.
• W2055897013 sameAs 2055897013 @default.
• W2055897013 citedByCount "33" @default.
• W2055897013 countsByYear W20558970132012 @default.
• W2055897013 countsByYear W20558970132013 @default.
• W2055897013 countsByYear W20558970132014 @default.
• W2055897013 countsByYear W20558970132015 @default.
• W2055897013 countsByYear W20558970132018 @default.
• W2055897013 countsByYear W20558970132020 @default.
• W2055897013 countsByYear W20558970132021 @default.
• W2055897013 crossrefType "journal-article" @default.
• W2055897013 hasAuthorship W2055897013A5004439881 @default.
• W2055897013 hasAuthorship W2055897013A5006262964 @default.
• W2055897013 hasConcept C111919701 @default.
• W2055897013 hasConcept C119857082 @default.
• W2055897013 hasConcept C141071460 @default.
• W2055897013 hasConcept C154945302 @default.
• W2055897013 hasConcept C162324750 @default.
• W2055897013 hasConcept C176217482 @default.
• W2055897013 hasConcept C177264268 @default.
• W2055897013 hasConcept C188087704 @default.
• W2055897013 hasConcept C19527891 @default.
• W2055897013 hasConcept C199360897 @default.
• W2055897013 hasConcept C201645570 @default.
• W2055897013 hasConcept C21547014 @default.
• W2055897013 hasConcept C2776436953 @default.
• W2055897013 hasConcept C31601959 @default.
• W2055897013 hasConcept C41008148 @default.
• W2055897013 hasConcept C50644808 @default.
• W2055897013 hasConcept C509974204 @default.
• W2055897013 hasConcept C71924100 @default.
• W2055897013 hasConceptScore W2055897013C111919701 @default.
• W2055897013 hasConceptScore W2055897013C119857082 @default.
• W2055897013 hasConceptScore W2055897013C141071460 @default.
• W2055897013 hasConceptScore W2055897013C154945302 @default.
• W2055897013 hasConceptScore W2055897013C162324750 @default.
• W2055897013 hasConceptScore W2055897013C176217482 @default.
• W2055897013 hasConceptScore W2055897013C177264268 @default.
• W2055897013 hasConceptScore W2055897013C188087704 @default.
• W2055897013 hasConceptScore W2055897013C19527891 @default.
• W2055897013 hasConceptScore W2055897013C199360897 @default.
• W2055897013 hasConceptScore W2055897013C201645570 @default.
• W2055897013 hasConceptScore W2055897013C21547014 @default.
• W2055897013 hasConceptScore W2055897013C2776436953 @default.

• next