T2 mapping-based radiomic features show decreased myocardial extracellular matrix hydration during 60-day bed rest simulated microgravity

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Authors: Francesca Righetti, G Barberis, G Bella, F F Copeta, L V M De Vita, Darius A. Gerlach, Jérémy Rabineau, Pierre‐François Migeotte, Jens Tank, Enrico Gianluca Caiani
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Abstract

Abstract Prolonged microgravity exposure causes significant cardiac deconditioning through adaptive physiological changes [1]. Head-Down Tilt (HDT) bed rest reproduces these effects on Earth, demonstrating progressive decreases in cardiac volumes and masses during unloading, with subsequent rapid readjustment upon gravity restoration in the head-to-foot direction [2]. This suggests apparent myocardial mass loss may result from transient extracellular matrix fluid shifts rather than true atrophy. However, quantitative studies investigating these mechanisms remain limited. We investigate myocardial extracellular matrix hydration changes during HDT using T2 mapping-based radiomics analysis. T2 mapping quantifies tissue liquid content [3], while radiomics extracts quantitative features from CMR images, enabling detailed myocardial tissue characterization. Radiomic features were extracted from T2-maps by four operators segmenting the myocardium using LIFEX software. Images were acquired at baseline (BDC), HDT day 56 (HDT56), and 4 days post-HDT (R) in 8 control subjects from the 60-day Artificial Gravity Bed Rest European Space Agency (AGBRESA) campaign. To facilitate the comparison, features were normalized using median subtraction and mean absolute deviation division. Feature selection involved identifying highly correlated pairs (r>0.8), retaining the feature among them with higher variance explanation, in this way removing redundant and less informative features. Statistical analysis used Friedman and post-hoc Wilcoxon tests (p

Fields of Study & Subjects

Spaceflight effects on biology Radiomics and Machine Learning in Medical Imaging Advanced MRI Techniques and Applications

Publication details

Journal / source
European Heart Journal - Digital Health
Volume
7
Issue
Supplement_1
Publication date
1 January 2026
Language
EN