Cardiac substructure delineation in radiation therapy - A state-of-the-art review

• Published in: Journal of medical imaging and radiation oncology
• Main Authors: Finnegan, Robert N, Quinn, Alexandra, Booth, Jeremy, Belous, Gregg, Hardcastle, Nicholas, Stewart, Maegan, Griffiths, Brooke, Carroll, Susan, Thwaites, David I
• Format: Journal Article
• Language: English
• Published: Australia 17-05-2024
• Subjects: heart/radiation effects; radiotherapy; radiotherapy planning, computer‐assisted; heart/diagnostic imaging; artificial intelligence
• ISSN: 1754-9477; 1754-9485
• DOI: 10.1111/1754-9485.13668

Delineation of cardiac substructures is crucial for a better understanding of radiation-related cardiotoxicities and to facilitate accurate and precise cardiac dose calculation for developing and applying risk models. This review examines recent advancements in cardiac substructure delineation in the radiation therapy (RT) context, aiming to provide a comprehensive overview of the current level of knowledge, challenges and future directions in this evolving field. Imaging used for RT planning presents challenges in reliably visualising cardiac anatomy. Although cardiac atlases and contouring guidelines aid in standardisation and reduction of variability, significant uncertainties remain in defining cardiac anatomy. Coupled with the inherent complexity of the heart, this necessitates auto-contouring for consistent large-scale data analysis and improved efficiency in prospective applications. Auto-contouring models, developed primarily for breast and lung cancer RT, have demonstrated performance comparable to manual contouring, marking a significant milestone in the evolution of cardiac delineation practices. Nevertheless, several key concerns require further investigation. There is an unmet need for expanding cardiac auto-contouring models to encompass a broader range of cancer sites. A shift in focus is needed from ensuring accuracy to enhancing the robustness and accessibility of auto-contouring models. Addressing these challenges is paramount for the integration of cardiac substructure delineation and associated risk models into routine clinical practice, thereby improving the safety of RT for future cancer patients.