TY - JOUR
T1 - Breast composition and dose deposition to fat and fibroglandular tissues are associated with breast side effects after radiation therapy
AU - Jaikuna, Tanwiwat
AU - Wilson, Fiona
AU - Anandadas, Carmel
AU - Azria, David
AU - Chang-Claude, Jenny
AU - De Santis, Maria Carmen
AU - Gutiérrez-Enríquez, Sara
AU - van Herk, Marcel
AU - Hoskin, Peter
AU - Kotzki, Lea
AU - Lambrecht, Maarten
AU - Lingard, Zoe
AU - Seibold, Petra
AU - Seoane, Alejandro
AU - Sperk, Elena
AU - Symonds, R. Paul
AU - Talbot, Christopher J.
AU - Rancati, Tiziana
AU - Rattay, Tim
AU - Reyes, Victoria
AU - Rosenstein, Barry S.
AU - de Ruysscher, Dirk
AU - Vega, Ana
AU - Veldeman, Liv
AU - Webb, Adam
AU - West, Catharine M.L.
AU - Vasquez Osorio, Eliana
AU - Aznar, Marianne C.
N1 - Funding Information:
Marianne Aznar acknowledges the support of the Engineering and Physical Sciences Research Council (Grant number EP/T028017/1 ) and the NIHR Manchester Biomedical Research Centre ( NIHR203308 ).
Funding Information:
The VHIO acknowledge the Cellex Foundation for providing research facilities, the CERCA Programme/ Generalitat de Catalunya for institutional support, and the Agencia Estatal de Investigaci\u00F3n for their financial support as a Center of Excellence Severo Ochoa (CEX2020-001024-S/AEI/10.13039/501100011033).
Funding Information:
REQUITE received funding from the European Union's Seventh Framework Programme for research, technological development, and demonstration under grant agreement no. 601826. The data used in this study can be accessed from the REQUITE consortium (www.requite.eu). Data are available from the authors upon reasonable request and with the permission of the REQUITE consortium. We thank all patients who participated in the REQUITE study and all study personnel involved in the REQUITE project. This work was supported by Cancer Research UK RadNet Manchester [C1994/A28701], the Cancer Research UK Cancer Research Manchester Centre (C147/A25254) and the NIHR Manchester Biomedical Research Centre (NIHR203308). Marianne Aznar acknowledges the support of the Engineering and Physical Sciences Research Council (Grant number EP/T028017/1) and the NIHR Manchester Biomedical Research Centre (NIHR203308). Peter Hoskin was supported by the NIHR Manchester Biomedical Research Centre (NIHR203308). Catharine M L West was supported by the NIHR Manchester Biomedical Research Centre (NIHR203308). The researchers at DKFZ also thank Anusha M\u00FCller, Irmgard Helmbold, Sabine Behrens, Juan Camilo Rosas. Petra Seibold was supported by ERA PerMed 2018 funding (BMBF #01KU1912) and BfS funding (#3619S42261). Sara Guti\u00E9rrez-Enr\u00EDquez was supported by ERAPerMed JTC2018 funding (ERAPERMED2018-244 and SLT011/18/00005) and currently by the Government of Catalonia (2021SGR01112). The VHIO acknowledge the Cellex Foundation for providing research facilities, the CERCA Programme/Generalitat de Catalunya for institutional support, and the Agencia Estatal de Investigaci\u00F3n for their financial support as a Center of Excellence Severo Ochoa (CEX2020-001024-S/AEI/10.13039/501100011033). Tim Rattay is supported by the NIHR Leicester Biomedical Research Centre. He was previously an NIHR Clinical Lecturer and was also funded by an NIHR Doctoral Research Fellowship. This publication presents independent research funded by the NIHR. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health. This work uses data that has been provided by patients and collected by the NHS as part of their care and support. The data are collated, maintained and quality assured by the National.
Funding Information:
Tim Rattay is supported by the NIHR Leicester Biomedical Research Centre . He was previously an NIHR Clinical Lecturer and was also funded by an NIHR Doctoral Research Fellowship. This publication presents independent research funded by the NIHR. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health.
Funding Information:
Peter Hoskin was supported by the NIHR Manchester Biomedical Research Centre ( NIHR203308 ).
Funding Information:
The researchers at DKFZ also thank Anusha M\u00FCller, Irmgard Helmbold, Sabine Behrens, Juan Camilo Rosas. Petra Seibold was supported by ERA PerMed 2018 funding (BMBF #01KU1912) and BfS funding (#3619S42261).
Funding Information:
Sara Guti\u00E9rrez-Enr\u00EDquez was supported by ERAPerMed JTC2018 funding (ERAPERMED2018-244 and SLT011/18/00005) and currently by the Government of Catalonia (2021SGR01112).
Funding Information:
Catharine M L West was supported by the NIHR Manchester Biomedical Research Centre ( NIHR203308 ).
Funding Information:
This work was supported by Cancer Research UK RadNet Manchester [ C1994/A28701 ], the Cancer Research UK Cancer Research Manchester Centre ( C147/A25254 ) and the NIHR Manchester Biomedical Research Centre ( NIHR203308 ).
Funding Information:
REQUITE received funding from the European Union\u2019s Seventh Framework Programme for research, technological development, and demonstration under grant agreement no. 601826. The data used in this study can be accessed from the REQUITE consortium ( www.requite.eu ). Data are available from the authors upon reasonable request and with the permission of the REQUITE consortium.
Publisher Copyright:
© 2026 The Authors
PY - 2026/2/1
Y1 - 2026/2/1
N2 - Objective: Breast comprises different tissues with potentially different dose responses to radiation therapy (RT). This study investigates the correlation between RT dose, breast composition, and side effects from breast RT. Material/methods: Data from 922 early-stage breast cancer patients who underwent breast-conserving surgery and RT from the REQUITE study were included. Breast pain, oedema, atrophy, and induration were assessed immediately post-RT, one-year, and two-years post-RT. Maximum severity scores for each toxicity were used for analysis. Breast tissue was divided into “fat” and “fibroglandular” substructures from computed tomography (CT) using a Gaussian Mixture Model. The correlation between breast characteristics, toxicity, dosimetric parameters, and patient and clinical variables was investigated using ordinal regression. The model's fit was evaluated using the Akaike Information Criterion in SPSS v.29. Results: Breast volume and breast density were associated with increased risk of breast oedema, atrophy, and induration in multivariable analysis (p<0.05). Higher mean dose and dose uniformity were observed for fibroglandular compared to fatty tissue at all severity levels, while there was no significant difference in the maximum dose to either substructure. Higher dose deposit to fat was associated with breast pain and oedema, while breast atrophy and induration were associated with dose to fibroglandular tissue. All best-performing toxicity models included dosimetric parameters derived from breast composition. Conclusion: Breast characterisation offers new insight into the link between dose and toxicity. Breast density and dose parameters from different substructures were associated with different breast toxicity. These findings further support the importance of dose homogeneity of breast RT planning.
AB - Objective: Breast comprises different tissues with potentially different dose responses to radiation therapy (RT). This study investigates the correlation between RT dose, breast composition, and side effects from breast RT. Material/methods: Data from 922 early-stage breast cancer patients who underwent breast-conserving surgery and RT from the REQUITE study were included. Breast pain, oedema, atrophy, and induration were assessed immediately post-RT, one-year, and two-years post-RT. Maximum severity scores for each toxicity were used for analysis. Breast tissue was divided into “fat” and “fibroglandular” substructures from computed tomography (CT) using a Gaussian Mixture Model. The correlation between breast characteristics, toxicity, dosimetric parameters, and patient and clinical variables was investigated using ordinal regression. The model's fit was evaluated using the Akaike Information Criterion in SPSS v.29. Results: Breast volume and breast density were associated with increased risk of breast oedema, atrophy, and induration in multivariable analysis (p<0.05). Higher mean dose and dose uniformity were observed for fibroglandular compared to fatty tissue at all severity levels, while there was no significant difference in the maximum dose to either substructure. Higher dose deposit to fat was associated with breast pain and oedema, while breast atrophy and induration were associated with dose to fibroglandular tissue. All best-performing toxicity models included dosimetric parameters derived from breast composition. Conclusion: Breast characterisation offers new insight into the link between dose and toxicity. Breast density and dose parameters from different substructures were associated with different breast toxicity. These findings further support the importance of dose homogeneity of breast RT planning.
KW - Breast composition
KW - Breast density
KW - Breast radiotherapy
KW - Breast toxicity
U2 - 10.1016/j.breast.2026.104694
DO - 10.1016/j.breast.2026.104694
M3 - Article
SN - 0960-9776
VL - 85
JO - Breast
JF - Breast
M1 - 104694
ER -