S1373
Interdisciplinary - Global health
ESTRO 2026
period, the four LINACs consumed 10965.15 kWh, emitting 2850.94 kg CO ₂ with a cost of € 2741.29. The two CTs consumed 1296.29 kWh, emitting 337.04 kg CO ₂ with a cost of € 324.07. Total departmental equipment energy consumption reached 12261.44 kWh over 21 days, corresponding to 3187.97 kg CO ₂ emissions and € 3065.36 in energy costs. Stand-by mode accounted for approximately 50% of LINAC daily time, representing a significant opportunity for energy This study demonstrates that a modern radiotherapy department generates over 3 tons of CO ₂ emissions from equipment alone in a three-week period. These findings highlight the urgent need forimplementing green hospital strategies in radiation oncology, including optimization of stand-by protocols, adoption optimization. Conclusion: of energy-efficient technologies, integration of renewable sources, and equipment replacement planning with sustainability criteria. Energy consumption patterns establish a foundation for monitoring future sustainability interventions and supports the transition toward environmentally responsible cancer care delivery. Keywords: Environmental Impact, Carbon Footprint Depression screening during radiotherapy: high prevalence and missed opportunities for psycho- oncology care Fatma Missaoui 1 , Nejla Fourati 1 , Farah Cherif 2 , Wafa Mnejja 1 , Wicem Siala 1 , Jaweher Masmoudi 2 , Jamel Daoud 1 1 Radiotherapy Department Habib Bourguiba Hospital, Faculty of Medicine University of Sfax, Sfax, Tunisia. 2 Psychiatry A Department Hedi Chaker Hospital, Faculty of Medicine University of Sfax, Sfax, Tunisia Digital Poster 4705 Purpose/Objective: Depression is one of the most common yet underrecognized comorbidities among cancer patients, affecting nearly one in three during their treatment journey. Early identification and referral to psycho-oncology services are essential to optimize outcomes but remain challenging, particularly in low- and middle-income countries. This study aimed to assess the prevalence and severity of depressive symptoms among patients undergoing radiotherapy and to identify barriers limiting access to psycho-
Keywords: hypofractionation, radiotherapy access, economics
Digital Poster 4634
Environmental Impact of Radiation Oncology Equipment: Energy Consumption and Carbon Footprint Analysis in a Single Center Experience Corrado Macauda 1 , Michele Fiore 2,1 , Valerio Marè 1 , Martina Staderini 2 , Gabriele D'Ercole 1 , Gian Marco Petrianni 1 , Pasquale Trecca 1 , Guenda Meffe 1 , Daniele Carlotti 1 , Claudio Dionisi 1 , Angelo Montagnoli 1 , Edy Ippolito 1,2 , Sara Ramella 1,2 1 Operative Research Unit of Radiation Oncology, Fondazione Policlinico Campus Bio-Medico di Roma, Roma, Italy. 2 Research Unit of Radiation Oncology, Università Campus Bio-Medico di Roma, Roma, Italy Purpose/Objective: Healthcare facilities are among the most energy- intensive sectors, contributing significantly to global carbon emissions. Radiotherapy departments, equipped with high-power radiation delivery systems and imaging devices, represent a substantial portion of hospital energy consumption. In the context of increasing environmental awareness and urgent need for sustainable healthcare practices, this study aimed to quantify the energy consumption and carbon footprint of radiotherapy equipment in our department, evaluating two Elekta VersaHD and two Varian TrueBeam LINACs, one Siemens SOMATOM Confidence and one Toshiba Aquilion LB CT simulator, to establish baseline data for future green initiatives. Material/Methods: Energy consumption data were collected over a continuous 21-day period using digital multimeters connected to the electrical panels of each device. For LINACs, operational phases were categorized as beam- on (active treatment delivery), beam-off (idle between patients), cone-beam CT acquisition, and stand-by mode, with a 24-hour cycle. CT simulators operated for 12 hours daily, with negligible consumption during off-hours. Energy consumption (E) in kilowatt-hours (kWh) was calculated using the formula: E = P × t, where P is power (kW) and t is time (hours). Carbon emissions were estimated using the following conversion factor: CO ₂ (kg) = E (kWh) × 0.26 kg CO ₂ /kWh. Energy costs were calculated as: Cost ( € ) = E (kWh) × 0.25 € /kWh. All measurements were performed during typical clinical activity to reflect real- world conditions. Results: Daily energy consumption averaged 130.54 kWh per LINAC and 30.86 kWh per CT, generating 33.94 kg CO ₂ and 8.02 kg CO ₂ respectively, with associated daily costs of € 32.63 and € 7.71. Over the 21-day monitoring
oncology follow-up. Material/Methods:
A cross-sectional survey was conducted among 70 patients treated at our radiotherapy department. The median age was 53 years [15–81], with a sex ratio of 0.4; 74.3% were married, and breast cancer was the
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