S206
Clinical - Breast
ESTRO 2026
physical and psychological well-being and should be promoted as safe, effective, and patient-centered
Digital Poster 309
Artificial Intelligence-Based Assessment of Aesthetic Outcomes and Quality of Life After Breast-Conserving Therapy Wissal hassani, assiya benameur, samia khalfi, kaoutar soussy, farhane fatima zahra, zenab alami, touria bouhafa radiotherapy, hassan II hospital, fez, Morocco Purpose/Objective: Breast cancer is the most common malignancy among women. Advances in diagnosis and treatment have improved survival and allowed for less invasive approaches. However, data on quality of life (QoL) and aesthetic outcomes in developing countries remain scarce. This study aimed to assess QoL and artificial intelligence (AI)-based aesthetic outcomes after breast-conserving therapy (BCT) and to explore potential correlations between objective results and patient-reported satisfaction. Material/Methods: A cross-sectional observational study included 97 patients treated with BCT and adjuvant radiotherapy (± boost, ± nodal irradiation), with or without systemic therapy.QoL was evaluated using the European Organization for Research and Treatment of Cancer (EORTC) questionnaires QLQ-C30 and QLQ-BR23, as well as the “Breast-Conserving Therapy” module of the BREAST-Q.Aesthetic outcomes were objectively analyzed using the AI-based BCCT.core software, which evaluates breast symmetry, shape, and color. Associations between QoL domains, aesthetic results, and clinical or treatment-related variables were statistically analyzed. Results: The mean age was 52 years. Most patients had luminal stage I–II tumors and were treated with hypofractionated three-dimensional (3D) conformal radiotherapy (42 Gy/15 fractions). The mean global QoL score was 61, with body image and alopecia being the most impaired domains.Aesthetic results were generally good. Financial difficulties were the main determinant of poor QoL. Satisfaction correlated positively with physical and cognitive functioning and inversely with fatigue, pain, and appetite loss. Aesthetic outcomes were significantly associated with patient origin, Scarff–Bloom–Richardson (SBR) grade, and hormonal therapy, while satisfaction was linked to age and molecular subtype. Conclusion: QoL should remain a central outcome in breast cancer management. AI-based aesthetic evaluation provides objective data but does not always align with patient satisfaction, emphasizing the importance of subjective perception. Breast-conserving therapy and hypofractionated radiotherapy contribute to improved
approaches. References:
1-Kanatas A, Velikova G, Roe B, Horgan K, Ghazali N, Shaw RJ, et al. Patient-Reported Outcomes in Breast Oncology: A Review of Validated Outcome Instruments.Tumori. nov 2012;98(6):678 - 88.2-Magny SJ, Shikhman R, Keppke AL. Breast Imaging Reporting and Data System. In:StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2024 [cité 11 févr2024]. Disponible sur: http://www.ncbi.nlm.nih.gov/books/NBK459169/3- Nejjari C, El Fakir S, Bendahhou K, El Rhazi K, Abda N, Zidouh A, et al. Translationand validation of European organization for research and treatment of cancer quality oflife Questionnaire -C30 into Moroccan version for cancer patients in Morocco. BMC ResNotes. déc 2014;7(1):228. Keywords: Artificial intelligence, Aesthetic outcomes, qol Lung Dose Reduction Through DIBH Coaching: A Novel Clinical Finding for Pulmonary Toxicity Prevention in Left-Sided Breast Cancer. Laraib Khan, Maham Khan, Fabiha Shakeel, Sarah Akhter, Nasir Ali Radiation Oncology, Aga Khan University Hospital, Karachi, Pakistan Purpose/Objective: While deep inspiration breath hold (DIBH) techniques are primarily implemented to reduce cardiac exposure during radiotherapy for left-sided breast cancer1,2. This study presents novel clinical findings regarding lung dose reduction through structured DIBH coaching protocols, shifting focus from cardiac protection to comprehensive thoracic organ sparing. Material/Methods: We analysed dosimetric outcomes in 40 patients with left-sided breast cancer receiving adjuvant Digital Poster 378 radiotherapy using DIBH technique. Patients were stratified into non-coached (verbal guidance only) versus coached groups following a comprehensive physician-led protocol with home practice components. Primary endpoint was lung dosimetric parameters, specifically V17 measurements, representing a novel clinical focus beyond traditional cardiac endpoints Results: Dosimetric ParameterUncoached GroupCoached GroupMean Cardiac Dose (Gy)3.723.65Lung Volume Exposed (V17 %)21.618.3Coached patients demonstrated statistically significant reduction in left
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