Matches in SemOpenAlex for { <https://semopenalex.org/work/W2890737724> ?p ?o ?g. }
- W2890737724 endingPage "5018" @default.
- W2890737724 startingPage "5004" @default.
- W2890737724 abstract "A hybrid planar-SPECT/CT method for tumor dosimetry in 177 Lu-DOTATATE therapy, applicable to datasets consisting of multiple conjugate-view images and one SPECT/CT, is developed and evaluated.The imaging protocol includes conjugate-view imaging at 1, 24, 96, and 168 h post infusion (p.i.) and a SPECT/CT acquisition 24 h p.i. The dosimetry method uses the planar images to estimate the shape of the time-activity concentration curve, which is then rescaled to absolute units using the SPECT-derived activity concentration. The resulting time-integrated activity concentration coefficient (TIACC) is used to calculate the tumor-absorbed dose. Semiautomatic segmentation techniques are applied for tumor delineation in both planar and SPECT images, where the planar image segmentation is accomplished using an active-rays-based technique. The selection of tumors is done by visual inspection of planar and SPECT images and applying a set of criteria concerning the tumor visibility and possible interference from superimposed activity uptakes in the planar images. Five different strategies for determining values from planar regions of interest (ROIs), based on entire or partial ROIs, and with and without background correction, are evaluated. Evaluation is performed against a SPECT/CT-based method on data from six patients where sequential conjugate-view and SPECT/CT imaging have been performed in parallel and against ground truths in Monte Carlo simulated images. The patient data are also used to evaluate the interoperator variability and to assess the validity of the developed criteria for tumor selection.For patient images, the hybrid method produces TIACCs that are on average 6% below those of the SPECT/CT only method, with standard deviations for the relative TIACC differences of 8%-11%. Simulations show that the hybrid and SPECT-based methods estimate the TIACCs to within approximately 10% for tumors larger than around 10 ml, while for smaller tumors, all methods underestimate the TIACCs due to underestimations of the activity concentrations in the SPECT images. The planar image segmentation has a low operator dependence, with a median Dice similarity coefficient of 0.97 between operators. The adopted criteria for tumor selection manage to discriminate the tumors for which the absorbed-dose deviations between the hybrid and SPECT methods are the highest.The hybrid method is found suitable for studies of tumor-absorbed doses in radionuclide therapy, provided that selection criteria regarding the visibility and overlapping activities in the planar images are applied." @default.
- W2890737724 created "2018-09-27" @default.
- W2890737724 creator A5012849679 @default.
- W2890737724 creator A5022576322 @default.
- W2890737724 creator A5044352537 @default.
- W2890737724 creator A5070176392 @default.
- W2890737724 date "2018-10-08" @default.
- W2890737724 modified "2023-10-12" @default.
- W2890737724 title "A method for tumor dosimetry based on hybrid planar‐SPECT/CT images and semiautomatic segmentation" @default.
- W2890737724 cites W1556293592 @default.
- W2890737724 cites W1713400013 @default.
- W2890737724 cites W1964713829 @default.
- W2890737724 cites W1983281817 @default.
- W2890737724 cites W1987869189 @default.
- W2890737724 cites W1999699046 @default.
- W2890737724 cites W2004343077 @default.
- W2890737724 cites W2004381143 @default.
- W2890737724 cites W2008436936 @default.
- W2890737724 cites W2017183061 @default.
- W2890737724 cites W2019607817 @default.
- W2890737724 cites W2020961166 @default.
- W2890737724 cites W2023982759 @default.
- W2890737724 cites W2031048655 @default.
- W2890737724 cites W2043184800 @default.
- W2890737724 cites W2043806601 @default.
- W2890737724 cites W2044813020 @default.
- W2890737724 cites W2047019936 @default.
- W2890737724 cites W2062198638 @default.
- W2890737724 cites W2077456898 @default.
- W2890737724 cites W2079330163 @default.
- W2890737724 cites W2082722708 @default.
- W2890737724 cites W2099478219 @default.
- W2890737724 cites W2102373740 @default.
- W2890737724 cites W2104095591 @default.
- W2890737724 cites W2127498681 @default.
- W2890737724 cites W2128596214 @default.
- W2890737724 cites W2133750711 @default.
- W2890737724 cites W2137226693 @default.
- W2890737724 cites W2316354129 @default.
- W2890737724 cites W2478491286 @default.
- W2890737724 cites W2522805621 @default.
- W2890737724 cites W2573369749 @default.
- W2890737724 cites W2590503332 @default.
- W2890737724 cites W2599462151 @default.
- W2890737724 cites W2603187126 @default.
- W2890737724 cites W2752756902 @default.
- W2890737724 cites W2768013131 @default.
- W2890737724 cites W2804721630 @default.
- W2890737724 cites W2807307970 @default.
- W2890737724 doi "https://doi.org/10.1002/mp.13178" @default.
- W2890737724 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30199102" @default.
- W2890737724 hasPublicationYear "2018" @default.
- W2890737724 type Work @default.
- W2890737724 sameAs 2890737724 @default.
- W2890737724 citedByCount "14" @default.
- W2890737724 countsByYear W28907377242019 @default.
- W2890737724 countsByYear W28907377242020 @default.
- W2890737724 countsByYear W28907377242021 @default.
- W2890737724 countsByYear W28907377242022 @default.
- W2890737724 countsByYear W28907377242023 @default.
- W2890737724 crossrefType "journal-article" @default.
- W2890737724 hasAuthorship W2890737724A5012849679 @default.
- W2890737724 hasAuthorship W2890737724A5022576322 @default.
- W2890737724 hasAuthorship W2890737724A5044352537 @default.
- W2890737724 hasAuthorship W2890737724A5070176392 @default.
- W2890737724 hasBestOaLocation W28907377241 @default.
- W2890737724 hasConcept C121684516 @default.
- W2890737724 hasConcept C134786449 @default.
- W2890737724 hasConcept C141379421 @default.
- W2890737724 hasConcept C154945302 @default.
- W2890737724 hasConcept C2984398910 @default.
- W2890737724 hasConcept C2989005 @default.
- W2890737724 hasConcept C31972630 @default.
- W2890737724 hasConcept C41008148 @default.
- W2890737724 hasConcept C71924100 @default.
- W2890737724 hasConcept C75088862 @default.
- W2890737724 hasConcept C89600930 @default.
- W2890737724 hasConceptScore W2890737724C121684516 @default.
- W2890737724 hasConceptScore W2890737724C134786449 @default.
- W2890737724 hasConceptScore W2890737724C141379421 @default.
- W2890737724 hasConceptScore W2890737724C154945302 @default.
- W2890737724 hasConceptScore W2890737724C2984398910 @default.
- W2890737724 hasConceptScore W2890737724C2989005 @default.
- W2890737724 hasConceptScore W2890737724C31972630 @default.
- W2890737724 hasConceptScore W2890737724C41008148 @default.
- W2890737724 hasConceptScore W2890737724C71924100 @default.
- W2890737724 hasConceptScore W2890737724C75088862 @default.
- W2890737724 hasConceptScore W2890737724C89600930 @default.
- W2890737724 hasIssue "11" @default.
- W2890737724 hasLocation W28907377241 @default.
- W2890737724 hasLocation W28907377242 @default.
- W2890737724 hasOpenAccess W2890737724 @default.
- W2890737724 hasPrimaryLocation W28907377241 @default.
- W2890737724 hasRelatedWork W1669643531 @default.
- W2890737724 hasRelatedWork W2005437358 @default.
- W2890737724 hasRelatedWork W2008656436 @default.
- W2890737724 hasRelatedWork W2039154422 @default.
- W2890737724 hasRelatedWork W2134924024 @default.