Quantitative evaluation of the response to neo-adjuvant chemotherapy based on non-rigid registration of CEM - Laboratoire de mécanique et technologie
Communication Dans Un Congrès Année : 2023

Quantitative evaluation of the response to neo-adjuvant chemotherapy based on non-rigid registration of CEM

Clément Jailin
Pablo Milioni de Carvalho
  • Fonction : Auteur
Sara Mohamed
  • Fonction : Auteur
Laurence Vancamberg
  • Fonction : Auteur
Amr Farouk Ibrahim Moustafa
  • Fonction : Auteur
Mohammed Mohammed Gomaa
  • Fonction : Auteur
Rasha Mohammed Kamal
  • Fonction : Auteur
Serge Muller
  • Fonction : Auteur

Résumé

This paper introduces a new intensity-compensated longitudinal non-rigid registration method for Contrast Enhanced Mammography monitoring neoadjuvant chemotherapy (NAC). The registered NAC image subtraction, called residual fields, allows to discriminate between different lesion responses to treatment using features extraction. The approach registers low-energy 2D images of the exams acquired before and after the chemotherapy. The measured motion is then applied to the corresponding dual-energy recombined images. Consequently, the difference in registered images allows identifying local density and iodine uptake changes, especially in the lesion area. The registration converged for all 51 patients with 208 image pairs. Finally, the residual fields can be used to extract clinically relevant features used to assess the response of the treatment. The lesion response classification model, evaluated with the AUC and F-score, performed better when taking into account the residual features (AUC: 0.92 vs 0.79).
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Dates et versions

hal-04790701 , version 1 (19-11-2024)

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Clément Jailin, Pablo Milioni de Carvalho, Sara Mohamed, Laurence Vancamberg, Amr Farouk Ibrahim Moustafa, et al.. Quantitative evaluation of the response to neo-adjuvant chemotherapy based on non-rigid registration of CEM. 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), Apr 2023, Cartagena, France. pp.1-5, ⟨10.1109/ISBI53787.2023.10230801⟩. ⟨hal-04790701⟩
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