This is a prospective cohort study for the analysis of correlation between dosimetric parameters and RANV (Radiation Associated Nausea and Vomiting) in patients with head and neck cancer undergoing exclusive radiotherapy (RT). The primary purpose of this study is to search for a potential correlation between dosimetry and physician- and patient-rated symptoms in patients treated with exclusive radiotherapy for head and neck cancer.
The use of Intensity Modulated Radiation Therapy (IMRT) has become increasingly common in clinical practice for the treatment of head and neck tumors. Despite the well-documented dosimetric advantages of IMRT, there has been a gradual recognition of toxicity profiles that are characteristic and distinct from those known in the era of 2D and 3D techniques, associated with the so-called "dose bath" typical of all intensity-modulated treatments. Among these, one of the main concerns is Radiation-Associated Nausea and Vomiting (RANV), the persistence and severity of which can significantly compromise the quality of life for patients. Consequently, there has been a growing need to more thoroughly assess the clinical and dosimetric risk factors associated with the onset of RANV in this population. Although several authors have already investigated this aspect, most studies available to date consider cases where concurrent chemotherapy administration may affect the assessment of the outcomes of interest. Even when exclusively focusing on studies centered on IMRT (without concurrent chemotherapy), the generalization of results is at least partially affected by the fact that these are retrospective series with a relatively small population (23-130 patients).
Study Type
OBSERVATIONAL
Enrollment
180
Curative radiotherapy treatment using 3D conformal or Intensity Modulated Radiation Therapy (IMRT) techniques.
Azienda Ospedaliero Universitaria Ospedali Riuniti di Ancona
Ancona, Italy
RECRUITINGOspedale "Mons. Dimiccoli"
Barletta, Italy
Evaluation of nausea (acute toxicity) using CTCAE V5.0
Dose-response correlation between central nervous system (CNS) structures and substructures and nausea (Nausea will be scored using Common Terminology Criteria for Adverse Events- CTCAE- v 5.0
Time frame: 3 months
Evaluation of nausea (acute toxicity) using M.D. Anderson Symptom Inventory (MDASI-SCORE) questionnaire
Dose-response correlation between central nervous system (CNS) structures and substructures and nausea evaluated by MDASI-CORE questionnaire
Time frame: 3 months
Identification of the organs at risk most strongly correlated with the onset of nausea
Identification of the organs at risk most strongly correlated with the onset of nausea, both through the Common Terminology Criteria for Adverse Events (CTCAE) version 5.0 (physician-rated outcome) and the MDASI-CORE questionnaire (patient-reported outcomes)
Time frame: 3 months
Identification of dosimetric cutoffs for the onset of nausea
Identification of dosimetric cutoffs for the onset of nausea using Normal Tissue Complication Probability (NTCP) models
Time frame: 3 months
Comparison of dosimetric analysis between 3D conformal, IMRT and proton therapy techniques
Dosimetric analysis comparing 3D conformal, IMRT, and proton therapy techniques, with a specific focus on the onset of nausea. Evaluation will be conducted using both the Common Terminology Criteria for Adverse Events (CTCAE) version 5.0 and the MDASI-CORE questionnaire
Time frame: 3 months
Development of machine-learning predictive models for the onset of nausea
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Azienda Ospedaliera S.Pio
Benevento, Italy
RECRUITINGOspedale MultiMedica
Castellanza, Italy
RECRUITINGIRCCS Ospedale Policlinico San Martino
Genova, Italy
RECRUITINGEuropean Institute of Oncology
Milan, Italy
RECRUITINGIRCCS Ospedale San Raffaele
Milan, Italy
RECRUITINGAzienda Ospedaliero-Universitaria di Modena
Modena, Italy
RECRUITINGAzienda Ospedaliero Universitaria Ospedale Maggiore della Carità di Novara
Novara, Italy
RECRUITINGFondazione IRCCS Policlinico San Matteo
Pavia, Italy
RECRUITING...and 4 more locations
Development of machine-learning predictive models for the onset of nausea, incorporating clinical, dosimetric, and imaging parameters
Time frame: 1 year