FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2078249077> ?p ?o ?g. }

• W2078249077 endingPage "160" @default.
• W2078249077 startingPage "153" @default.
• W2078249077 abstract "Purpose To describe a new method to estimate the mean heart dose for Hodgkin lymphoma patients treated several decades ago, using delineation of the heart on radiation therapy simulation X-rays. Mean heart dose is an important predictor for late cardiovascular complications after Hodgkin lymphoma (HL) treatment. For patients treated before the era of computed tomography (CT)-based radiotherapy planning, retrospective estimation of radiation dose to the heart can be labor intensive. Methods and Materials Patients for whom cardiac radiation doses had previously been estimated by reconstruction of individual treatments on representative CT data sets were selected at random from a case–control study of 5-year Hodgkin lymphoma survivors (n=289). For 42 patients, cardiac contours were outlined on each patient's simulation X-ray by 4 different raters, and the mean heart dose was estimated as the percentage of the cardiac contour within the radiation field multiplied by the prescribed mediastinal dose and divided by a correction factor obtained by comparison with individual CT-based dosimetry. Results According to the simulation X-ray method, the medians of the mean heart doses obtained from the cardiac contours outlined by the 4 raters were 30 Gy, 30 Gy, 31 Gy, and 31 Gy, respectively, following prescribed mediastinal doses of 25-42 Gy. The absolute-agreement intraclass correlation coefficient was 0.93 (95% confidence interval 0.85-0.97), indicating excellent agreement. Mean heart dose was 30.4 Gy with the simulation X-ray method, versus 30.2 Gy with the representative CT-based dosimetry, and the between-method absolute-agreement intraclass correlation coefficient was 0.87 (95% confidence interval 0.80-0.95), indicating good agreement between the two methods. Conclusion Estimating mean heart dose from radiation therapy simulation X-rays is reproducible and fast, takes individual anatomy into account, and yields results comparable to the labor-intensive representative CT-based method. This simpler method may produce a meaningful measure of mean heart dose for use in studies of late cardiac complications. To describe a new method to estimate the mean heart dose for Hodgkin lymphoma patients treated several decades ago, using delineation of the heart on radiation therapy simulation X-rays. Mean heart dose is an important predictor for late cardiovascular complications after Hodgkin lymphoma (HL) treatment. For patients treated before the era of computed tomography (CT)-based radiotherapy planning, retrospective estimation of radiation dose to the heart can be labor intensive. Patients for whom cardiac radiation doses had previously been estimated by reconstruction of individual treatments on representative CT data sets were selected at random from a case–control study of 5-year Hodgkin lymphoma survivors (n=289). For 42 patients, cardiac contours were outlined on each patient's simulation X-ray by 4 different raters, and the mean heart dose was estimated as the percentage of the cardiac contour within the radiation field multiplied by the prescribed mediastinal dose and divided by a correction factor obtained by comparison with individual CT-based dosimetry. According to the simulation X-ray method, the medians of the mean heart doses obtained from the cardiac contours outlined by the 4 raters were 30 Gy, 30 Gy, 31 Gy, and 31 Gy, respectively, following prescribed mediastinal doses of 25-42 Gy. The absolute-agreement intraclass correlation coefficient was 0.93 (95% confidence interval 0.85-0.97), indicating excellent agreement. Mean heart dose was 30.4 Gy with the simulation X-ray method, versus 30.2 Gy with the representative CT-based dosimetry, and the between-method absolute-agreement intraclass correlation coefficient was 0.87 (95% confidence interval 0.80-0.95), indicating good agreement between the two methods. Estimating mean heart dose from radiation therapy simulation X-rays is reproducible and fast, takes individual anatomy into account, and yields results comparable to the labor-intensive representative CT-based method. This simpler method may produce a meaningful measure of mean heart dose for use in studies of late cardiac complications." @default.
• W2078249077 created "2016-06-24" @default.
• W2078249077 creator A5005494079 @default.
• W2078249077 creator A5006805405 @default.
• W2078249077 creator A5012843588 @default.
• W2078249077 creator A5023262870 @default.
• W2078249077 creator A5030601121 @default.
• W2078249077 creator A5030781711 @default.
• W2078249077 creator A5045222747 @default.
• W2078249077 creator A5052316741 @default.
• W2078249077 creator A5071616473 @default.
• W2078249077 creator A5077992903 @default.
• W2078249077 date "2015-05-01" @default.
• W2078249077 modified "2023-10-17" @default.
• W2078249077 title "Simple Method to Estimate Mean Heart Dose From Hodgkin Lymphoma Radiation Therapy According to Simulation X-Rays" @default.
• W2078249077 cites W1536128075 @default.
• W2078249077 cites W1833833181 @default.
• W2078249077 cites W1968977630 @default.
• W2078249077 cites W1977929221 @default.
• W2078249077 cites W1991341754 @default.
• W2078249077 cites W2003897619 @default.
• W2078249077 cites W2007078396 @default.
• W2078249077 cites W2012582720 @default.
• W2078249077 cites W2021407982 @default.
• W2078249077 cites W2024136031 @default.
• W2078249077 cites W2025318905 @default.
• W2078249077 cites W2062950404 @default.
• W2078249077 cites W2063085086 @default.
• W2078249077 cites W2064986772 @default.
• W2078249077 cites W2067724039 @default.
• W2078249077 cites W2074292877 @default.
• W2078249077 cites W2085143233 @default.
• W2078249077 cites W2093421164 @default.
• W2078249077 cites W2099540110 @default.
• W2078249077 cites W2124302405 @default.
• W2078249077 cites W2126680401 @default.
• W2078249077 cites W2127590261 @default.
• W2078249077 cites W2134931633 @default.
• W2078249077 cites W2138964436 @default.
• W2078249077 cites W2141403362 @default.
• W2078249077 cites W2147498149 @default.
• W2078249077 cites W2150503557 @default.
• W2078249077 cites W2154375587 @default.
• W2078249077 cites W2162084836 @default.
• W2078249077 cites W2168745915 @default.
• W2078249077 cites W2217904341 @default.
• W2078249077 cites W2243890309 @default.
• W2078249077 cites W2248977291 @default.
• W2078249077 doi "https://doi.org/10.1016/j.ijrobp.2015.02.019" @default.
• W2078249077 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/25863762" @default.
• W2078249077 hasPublicationYear "2015" @default.
• W2078249077 type Work @default.
• W2078249077 sameAs 2078249077 @default.
• W2078249077 citedByCount "12" @default.
• W2078249077 countsByYear W20782490772016 @default.
• W2078249077 countsByYear W20782490772017 @default.
• W2078249077 countsByYear W20782490772018 @default.
• W2078249077 countsByYear W20782490772019 @default.
• W2078249077 countsByYear W20782490772020 @default.
• W2078249077 countsByYear W20782490772023 @default.
• W2078249077 crossrefType "journal-article" @default.
• W2078249077 hasAuthorship W2078249077A5005494079 @default.
• W2078249077 hasAuthorship W2078249077A5006805405 @default.
• W2078249077 hasAuthorship W2078249077A5012843588 @default.
• W2078249077 hasAuthorship W2078249077A5023262870 @default.
• W2078249077 hasAuthorship W2078249077A5030601121 @default.
• W2078249077 hasAuthorship W2078249077A5030781711 @default.
• W2078249077 hasAuthorship W2078249077A5045222747 @default.
• W2078249077 hasAuthorship W2078249077A5052316741 @default.
• W2078249077 hasAuthorship W2078249077A5071616473 @default.
• W2078249077 hasAuthorship W2078249077A5077992903 @default.
• W2078249077 hasConcept C104709138 @default.
• W2078249077 hasConcept C126322002 @default.
• W2078249077 hasConcept C126838900 @default.
• W2078249077 hasConcept C171606756 @default.
• W2078249077 hasConcept C2779338263 @default.
• W2078249077 hasConcept C2987700449 @default.
• W2078249077 hasConcept C2989005 @default.
• W2078249077 hasConcept C44249647 @default.
• W2078249077 hasConcept C509974204 @default.
• W2078249077 hasConcept C70410870 @default.
• W2078249077 hasConcept C71924100 @default.
• W2078249077 hasConcept C75088862 @default.
• W2078249077 hasConceptScore W2078249077C104709138 @default.
• W2078249077 hasConceptScore W2078249077C126322002 @default.
• W2078249077 hasConceptScore W2078249077C126838900 @default.
• W2078249077 hasConceptScore W2078249077C171606756 @default.
• W2078249077 hasConceptScore W2078249077C2779338263 @default.
• W2078249077 hasConceptScore W2078249077C2987700449 @default.
• W2078249077 hasConceptScore W2078249077C2989005 @default.
• W2078249077 hasConceptScore W2078249077C44249647 @default.
• W2078249077 hasConceptScore W2078249077C509974204 @default.
• W2078249077 hasConceptScore W2078249077C70410870 @default.
• W2078249077 hasConceptScore W2078249077C71924100 @default.
• W2078249077 hasConceptScore W2078249077C75088862 @default.
• W2078249077 hasIssue "1" @default.
• W2078249077 hasLocation W20782490771 @default.
• W2078249077 hasLocation W20782490772 @default.

• next