FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2884120898> ?p ?o ?g. }

• W2884120898 endingPage "20180287" @default.
• W2884120898 startingPage "20180287" @default.
• W2884120898 abstract "Objective: To develop a mathematical model for cardiac dose estimation for patients who have been treated for left-sided breast cancer without CT data. Methods: After obtaining institutional review board approvals, 147 patients with left-sided breast cancer were selected that were treated supine with opposed tangents. The heart blocks from the tangential fields were removed and dose calculations were performed with 6 MV beams using an advanced algorithm. This study was performed with CT data with DRR to represent a radiographic simulator image of yesteryear treatments. The beam’s eye-view images showing delineated breast, lung and heart were created to represent views on radiograph. The maximum heart distance (MHD) was recorded and irradiated heart area (AREA) was computed by combination of triangles and rectangles. Based on accurate 3D dose calculation, mean dose (Dmean) and V10 to V50 of heart were analyzed with respect to MHD and AREA for dosimetric parameters using linear and quadratic fit. Results: The treatment parameters calculated by MHD and segments using 2D radiographs were within 2% of the actual dosimetric parameters computed from the 3D planning system. The MHD and AREA vs Dmean, V10, V20, V30 and V50 showed very good correlation with linear model (R2 > 0.91); however the correlation was significantly better with quadratic model (R2 > 0.92). The analysis of the dosimetric error with our linear and quadratic model is remarkable within <3% error for most cases. Conclusion: The proposed mathematical model for the cardiac dose estimation is accurate within ±3% using a radiograph without CT data. This provides avenues for patient pooling in future studies related to radiation dose and cardiac toxicity. These results will help in estimating cardiac dose analysis accurately from previous studies as well as in centers still using 2D planning. Advances in Knowledge: The evidence of cardiac risk following radiotherapy continues to be one of the important considerations for the management of left-sided breast cancer patients. One of the problem in the estimation of dose-risk effects is the reconstruction of heart dose for pre-CT treatments. In this study, a simple mathematical model is presented that could estimate cardiac dose within ±3% in left breast cancer treatment from 2D radiograph where CT data do not exist." @default.
• W2884120898 created "2018-08-03" @default.
• W2884120898 creator A5020607218 @default.
• W2884120898 creator A5061233046 @default.
• W2884120898 creator A5070721855 @default.
• W2884120898 date "2018-10-01" @default.
• W2884120898 modified "2023-09-30" @default.
• W2884120898 title "Model-based cardiac dose estimation in radiation treatment of left breast cancer" @default.
• W2884120898 cites W1507424753 @default.
• W2884120898 cites W1536211598 @default.
• W2884120898 cites W1567288780 @default.
• W2884120898 cites W1814353595 @default.
• W2884120898 cites W1857442781 @default.
• W2884120898 cites W1888033822 @default.
• W2884120898 cites W1964415578 @default.
• W2884120898 cites W1970483105 @default.
• W2884120898 cites W1973392729 @default.
• W2884120898 cites W1975415032 @default.
• W2884120898 cites W1977734870 @default.
• W2884120898 cites W1978281143 @default.
• W2884120898 cites W1985702184 @default.
• W2884120898 cites W1986203640 @default.
• W2884120898 cites W1987982255 @default.
• W2884120898 cites W1990143374 @default.
• W2884120898 cites W1991826825 @default.
• W2884120898 cites W1992685017 @default.
• W2884120898 cites W1994439728 @default.
• W2884120898 cites W2000873157 @default.
• W2884120898 cites W2001008598 @default.
• W2884120898 cites W2006673172 @default.
• W2884120898 cites W2009361080 @default.
• W2884120898 cites W2010601644 @default.
• W2884120898 cites W2015993287 @default.
• W2884120898 cites W2017472326 @default.
• W2884120898 cites W2017605431 @default.
• W2884120898 cites W2020700539 @default.
• W2884120898 cites W2021394731 @default.
• W2884120898 cites W2022857698 @default.
• W2884120898 cites W2026730531 @default.
• W2884120898 cites W2028845665 @default.
• W2884120898 cites W2029904258 @default.
• W2884120898 cites W2032559105 @default.
• W2884120898 cites W2039382627 @default.
• W2884120898 cites W2048603405 @default.
• W2884120898 cites W2051991848 @default.
• W2884120898 cites W2053982434 @default.
• W2884120898 cites W2067420088 @default.
• W2884120898 cites W2067738565 @default.
• W2884120898 cites W2069704508 @default.
• W2884120898 cites W2077887609 @default.
• W2884120898 cites W2082288366 @default.
• W2884120898 cites W2082845193 @default.
• W2884120898 cites W2092195782 @default.
• W2884120898 cites W2094827926 @default.
• W2884120898 cites W2099466113 @default.
• W2884120898 cites W2103028610 @default.
• W2884120898 cites W2113429905 @default.
• W2884120898 cites W2124783480 @default.
• W2884120898 cites W2125987430 @default.
• W2884120898 cites W2132409231 @default.
• W2884120898 cites W2133574356 @default.
• W2884120898 cites W2134003200 @default.
• W2884120898 cites W2136845661 @default.
• W2884120898 cites W2152476861 @default.
• W2884120898 cites W2153409462 @default.
• W2884120898 cites W2153646578 @default.
• W2884120898 cites W2154375587 @default.
• W2884120898 cites W2155649998 @default.
• W2884120898 cites W2156003808 @default.
• W2884120898 cites W2158249714 @default.
• W2884120898 cites W2167406973 @default.
• W2884120898 cites W2171887862 @default.
• W2884120898 cites W2288113942 @default.
• W2884120898 cites W2515868005 @default.
• W2884120898 cites W2598117381 @default.
• W2884120898 cites W2800860148 @default.
• W2884120898 cites W4300071116 @default.
• W2884120898 doi "https://doi.org/10.1259/bjr.20180287" @default.
• W2884120898 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6350466" @default.
• W2884120898 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30044144" @default.
• W2884120898 hasPublicationYear "2018" @default.
• W2884120898 type Work @default.
• W2884120898 sameAs 2884120898 @default.
• W2884120898 citedByCount "5" @default.
• W2884120898 countsByYear W28841208982020 @default.
• W2884120898 countsByYear W28841208982021 @default.
• W2884120898 countsByYear W28841208982022 @default.
• W2884120898 countsByYear W28841208982023 @default.
• W2884120898 crossrefType "journal-article" @default.
• W2884120898 hasAuthorship W2884120898A5020607218 @default.
• W2884120898 hasAuthorship W2884120898A5061233046 @default.
• W2884120898 hasAuthorship W2884120898A5070721855 @default.
• W2884120898 hasBestOaLocation W28841208982 @default.
• W2884120898 hasConcept C121608353 @default.
• W2884120898 hasConcept C125567185 @default.
• W2884120898 hasConcept C126322002 @default.
• W2884120898 hasConcept C126838900 @default.
• W2884120898 hasConcept C141071460 @default.

• next