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Phys Med ; 65: 1-5, 2019 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-31430580

RESUMO

PURPOSE: The aim of this retrospective study was to investigate and quantify the extent of breast deformation during the course of breast cancer (BC) radiotherapy (RT). The magnitude of breast deformation determines the additional outer margin needed for treatment planning to deliver a full dose to the target volume. This is especially important when using inverse planning techniques. METHODS: A total of 93 BC patients treated with RT and with daily CBCT image guidance were selected for this study. Patients underwent either only breast-conserving surgery (BCS) (n = 5), BCS with sentinel node biopsy (n = 57) or BCS with radical axillary node dissection (n = 31). The treatment area included the whole breast and chest wall (54%) or also the axillary lymph nodes (46%). 3D-registration was conducted between 1731 CBCT images and the respective planning CT images to assess the difference in breast surface. RESULTS: The largest maximum breast surface expansion (MBSE) was 15 mm; the average was 2.4 ±â€¯2.1 mm. In 294 fractions (17%), the MBSE was ≥5 mm. An outer margin of 8 mm would have been required to cover the whole breast in 95% of the treated fractions. There was a statistically significant correlation between the MBSE and body mass index (r = 0.38, p = 0.001). CONCLUSIONS: Significant changes in the breast surface occur during the course of BC RT which should be considered in treatment planning. An additional margin outside the breast surface of at least 8 mm is required to take into account the anatomical changes occurring during BC RT.


Assuntos
Mama/diagnóstico por imagem , Mama/patologia , Processamento de Imagem Assistida por Computador , Adulto , Idoso , Idoso de 80 Anos ou mais , Mama/efeitos da radiação , Neoplasias da Mama/diagnóstico por imagem , Neoplasias da Mama/patologia , Neoplasias da Mama/radioterapia , Tomografia Computadorizada de Feixe Cônico , Feminino , Humanos , Pessoa de Meia-Idade , Dosagem Radioterapêutica , Planejamento da Radioterapia Assistida por Computador , Radioterapia de Intensidade Modulada , Estudos Retrospectivos
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