Evaluation of harmonization strategies for analyzing multi-center diffusion MRI data of rhabdomyosarcoma

Motivation: Rhabdomyosarcoma is a rare pediatric tumor without known biomarkers for early therapy adjustment. Their investigation requires multi-center patient cohorts and, consequently, data harmonization. Goal(s): Comparison of two harmonization approaches ("ComBat", "generalized linear models (GLM) regression") for evaluating potential differences in performance and outcome. Approach: Tumorous and healthy tissues were segmented. Healthy and tumorous ADC features were harmonized with ComBat, the regression based GLM - on healthy features and applied to tumors. Tumor histology, body area, center information were provided as covariates. Results: In head-and-neck tumors, a stronger correlation between ADC change and survival was observed after harmonization, but not in other tumor locations. Impact: The results suggest that harmonization should be applied to separate groups based on tumor location, thus, allowing the algorithm to focus on inter-center variability. The need for more extensive delineations of healthy tissues is suggested for more robust results.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/5293
Primary Topic
Advanced MRI Techniques and Applications
Type
article
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article

Evaluation of harmonization strategies for analyzing multi-center diffusion MRI data of rhabdomyosarcoma

Lucia Quaglietta, Marta Fiocco, Rana Dandis, Johannes H. M. Merks et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Advanced MRI Techniques and Applications
article

Evaluation of harmonization strategies for analyzing multi-center diffusion MRI data of rhabdomyosarcoma

Lucia Quaglietta, Marta Fiocco, Rana Dandis, Johannes H. M. Merks, Soledad Gallego, Reineke A. Schoot, Amine Bouhamama, Ana Coma, Valérie Charon, Rick Robert van Rijn, Willemijn M. Klein, Alexander Leemans, Alberto De Luca, Julie Leseur, Madeleine Adams, Cyrano Chatziantoniou, Erika Pace, Simone A. J. ter Horst, Daniel H. Orbach, Giulia Fichera, Andrey Zhylka, Meriel Jenney, Giulia De Donno, Véronique Minard‐Colin, Kieran McHugh, Katia Perruccio, Ludwig Müller, Gianni Bisogno, Carlo Morosi, Pablo Caro‐Domínguez, Henry Mandeville, Christine Devalck, Roelof van Ewijk, Heidi Glosli, Sara Sirvent, Andrea C. Ferrari, Salma Moalla, Marleen Renard, Patrizia Bertolini, Pier Di Paolo
article en

Abstract

Motivation: Rhabdomyosarcoma is a rare pediatric tumor without known biomarkers for early therapy adjustment. Their investigation requires multi-center patient cohorts and, consequently, data harmonization. Goal(s): Comparison of two harmonization approaches ("ComBat", "generalized linear models (GLM) regression") for evaluating potential differences in performance and outcome. Approach: Tumorous and healthy tissues were segmented. Healthy and tumorous ADC features were harmonized with ComBat, the regression based GLM - on healthy features and applied to tumors. Tumor histology, body area, center information were provided as covariates. Results: In head-and-neck tumors, a stronger correlation between ADC change and survival was observed after harmonization, but not in other tumor locations. Impact: The results suggest that harmonization should be applied to separate groups based on tumor location, thus, allowing the algorithm to focus on inter-center variability. The need for more extensive delineations of healthy tissues is suggested for more robust results.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 64%
Advanced MRI Techniques and Applications
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