S1341
Interdisciplinary - Education in radiation oncology
ESTRO 206
This abstract is part of the press programme and is embargoed until the congress.
Poster Discussion 4335
Understanding emotional adaptation in hadron therapy: a narrative and linguistic analysis of patients’ experiences Maria Elena Piazzolla 1 , Veronica Borelli 2 , Valentina Alimenti 3 , Chiara Zanchi 4 , Sara Tampellini 1 , Maria Bonora 5 , Anna Maria Camarda 5 , Mariangela Caputo 5 , Rossana Ingargiola 5 , Sara Ronchi 5 , Barbara Vischioni 5 , Ester Orlandi 5,6 , Amelia Barcellini 5,7 1 Radiation Therapist Unit, Clinical Department, CNAO National Center for Oncological Hadrontherapy, Pavia, Italy. 2 Psychologist, Clinical Department, CNAO National Center for Oncological Hadrontherapy, Pavia, Italy. 3 CRC Linguistic Creativity in Communication, Bielefeld University, Bielefeld, Germany. 4 Department of Humanities, University of Pavia, Pavia, Italy. 5 Radiation Oncology Unit, Clinical Department, CNAO National Center for Oncological Hadrontherapy, Pavia, Italy. 6 Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy. 7 Department of Internal Medicine and Therapeutics, University of Pavia, Pavia, Italy Purpose/Objective: Patients receiving Hadron Therapy (HT) for head and neck (N&N) cancers often experience marked emotional distress, especially during immobilization procedures such as thermoplastic mask fabrication. These emotions can affect treatment adherence and perceptions of care quality. By analyzing patients’ written narratives after the simulation phase, this study investigates their linguistic expressions of emotions to reveal the lived experience of therapy. The findings aim to inform patient-centered communication strategies and educational interventions grounded in narrative medicine. Material/Methods: Between 2021 and 2024, forty-nine adult patients treated at the National Center for Oncological Hadrontherapy (CNAO, Italy) were invited to compose guided narratives describing their experience of the simulation and mask-making process. Thirty-one narratives met inclusion criteria for a combined quantitative/automatic and qualitative/manual linguistic and narrative analyses. The most frequent words, after lemmatization, were extracted and semantic frame analysis was employed to identify
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