Dyspnoea patterns in patients with advanced diseases: a functional MRI feasibility study protocol

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Authors: Jan Gaertner, Lisa Hentsch, Ivan Guerreiro, Oliver Alan Kannape, Mathias Delahaye, Federica Bianchi, Chloé Cantero, Sophie Pautex, Anne Bergeron, Karl‐Olof Lövblad, Felix Tobias Kurz, Tanja Fusi‐Schmidhauser
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References: 25

Abstract

INTRODUCTION: Dyspnoea is an existentially burdensome symptom in patients with advanced and progressive diseases such as cancer, chronic obstructive pulmonary disease (COPD) and advanced heart failure. Recent studies have highlighted that symptomatic treatment of dyspnoea is often ineffective and may depend on the underlying disease. Immersive virtual reality (IVR) has emerged as a 'digital therapeutic' for conditions such as pain, anxiety, and dyspnoea. Brain functional MRI (fMRI) offers the opportunity to identify distinct patterns of dyspnoea. Current findings are mainly limited to healthy volunteers, but clinical data from patients with life-limiting conditions are needed. The aim of this study is to assess the feasibility of identifying dyspnoea patterns in different life-limiting conditions using fMRI and IVR. METHODS AND ANALYSIS: This is an observational monocentric feasibility study, conducted in a tertiary university centre. Healthy volunteers and patients diagnosed with advanced cancer, COPD, or heart failure and suffering from persistent dyspnoea will undergo an fMRI of the brain using IVR. The primary outcome of feasibility will be evaluated using descriptive statistics. Secondary outcomes include analysis of fMRI patterns of dyspnoea across populations, patient-reported burden of participation, and correlation between dyspnoea and psychological symptoms. These preliminary data will help determine the sample size required for a future study evaluating differences in dyspnoea patterns. Exploratory comparison between the characteristics of all four groups will be assessed with Fisher's test (for proportions) and either independent Student's t-test or Mann-Whitney test, depending on distribution. Correlations between variables will be tested using the Pearson's correlation coefficient. Statistical analysis will be performed using STATA. ETHICS AND DISSEMINATION: in the Canton of Geneva, Switzerland. The identification number is 2024-02289. Submission to peer-reviewed journals and presentation in international congresses for the dissemination of the study findings are planned. TRIAL REGISTRATION NUMBER: Clinical Trials number is NCT07319039; Pre-results.

Fields of Study & Subjects

Palliative Care and End-of-Life Issues Respiratory and Cough-Related Research Virtual Reality Applications and Impacts

Publication details

Journal / source
BMJ Open
Volume
16
Issue
2
Pages
e107472–e107472
Publication date
1 February 2026
Language
EN