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1000 Titel
  • Heart atlas for retrospective cardiac dosimetry: a multi-institutional study on interobserver contouring variations and their dosimetric impact
1000 Autor/in
  1. Stockinger, Marcus |
  2. Karle, Heiko |
  3. Rennau, Hannes |
  4. Sebb, Sabine |
  5. Wolf, Ulrich |
  6. Remmele, Julia |
  7. Bührdel, Sandra |
  8. Bartkowiak, Detlef |
  9. Blettner, Maria |
  10. Schmidberger, Heinz |
  11. Wollschläger, Daniel |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-12-20
1000 Erschienen in
1000 Quellenangabe
  • 16(1):241
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s13014-021-01965-5 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8691015/ |
1000 Publikationsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Purpose!#!Cardiac effects after breast cancer radiation therapy potentially affect more patients as survival improves. The heart's heterogeneous radiation exposure and composition of functional structures call for establishing individual relationships between structure dose and specific late effects. However, valid dosimetry requires reliable contouring which is challenging for small volumes based on older, lower-quality computed tomography imaging. We developed a heart atlas for robust heart contouring in retrospective epidemiologic studies.!##!Methods and materials!#!The atlas defined the complete heart and geometric surrogate volumes for six cardiac structures: aortic valve, pulmonary valve, all deeper structures combined, myocardium, left anterior myocardium, and right anterior myocardium. We collected treatment planning records from 16 patients from 4 hospitals including dose calculations for 3D conformal tangential field radiation therapy for left-sided breast cancer. Six observers each contoured all patients. We assessed spatial contouring agreement and corresponding dosimetric variability.!##!Results!#!Contouring agreement for the complete heart was high with a mean Jaccard similarity coefficient (JSC) of 89%, a volume coefficient of variation (CV) of 5.2%, and a mean dose CV of 4.2%. The left (right) anterior myocardium had acceptable agreement with 63% (58%) JSC, 9.8% (11.5%) volume CV, and 11.9% (8.0%) mean dose CV. Dosimetric agreement for the deep structures and aortic valve was good despite higher spatial variation. Low spatial agreement for the pulmonary valve translated to poor dosimetric agreement.!##!Conclusions!#!For the purpose of retrospective dosimetry based on older imaging, geometric surrogate volumes for cardiac organs at risk can yield better contouring agreement than anatomical definitions, but retain limitations for small structures like the pulmonary valve.
1000 Sacherschließung
lokal Evaluation Studies as Topic [MeSH]
lokal Female [MeSH]
lokal Dose-Response Relationship, Radiation [MeSH]
lokal Observer Variation [MeSH]
lokal Radiotherapy Planning, Computer-Assisted [MeSH]
lokal Atlas
lokal Humans [MeSH]
lokal Retrospective dosimetry
lokal Retrospective Studies [MeSH]
lokal Clinical Radiation Oncology
lokal Breast Neoplasms/radiotherapy [MeSH]
lokal Tomography, X-Ray Computed [MeSH]
lokal Contouring
lokal Heart/radiation effects [MeSH]
lokal Research
lokal Heart dose
lokal Organs at Risk [MeSH]
lokal Radiotherapy Dosage [MeSH]
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/U3RvY2tpbmdlciwgTWFyY3Vz|https://frl.publisso.de/adhoc/uri/S2FybGUsIEhlaWtv|https://frl.publisso.de/adhoc/uri/UmVubmF1LCBIYW5uZXM=|https://frl.publisso.de/adhoc/uri/U2ViYiwgU2FiaW5l|https://frl.publisso.de/adhoc/uri/V29sZiwgVWxyaWNo|https://frl.publisso.de/adhoc/uri/UmVtbWVsZSwgSnVsaWE=|https://frl.publisso.de/adhoc/uri/QsO8aHJkZWwsIFNhbmRyYQ==|https://frl.publisso.de/adhoc/uri/QmFydGtvd2lhaywgRGV0bGVm|https://frl.publisso.de/adhoc/uri/QmxldHRuZXIsIE1hcmlh|https://frl.publisso.de/adhoc/uri/U2NobWlkYmVyZ2VyLCBIZWlueg==|https://orcid.org/0000-0002-1009-259X
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1000 Erstellt am 2023-04-26T18:31:12.890+0200
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1000 Zuletzt bearbeitet 2023-10-19T14:35:55.141+0200
1000 Objekt bearb. Thu Oct 19 14:35:55 CEST 2023
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