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Poster Display session 1

4558 - Radiomics improves response evaluation for desmoid tumors treated with chemotherapy


28 Sep 2019


Poster Display session 1


Tumour Site



Amandine Crombe


Annals of Oncology (2019) 30 (suppl_5): v683-v709. 10.1093/annonc/mdz283


A. Crombe1, M. Kind1, I.L. Ray-Coquard2, N. Isambert3, C.M. Chevreau4, T. Andre5, C. Lebbe6, A. Le Cesne7, E. Bompas8, S. Piperno-Neumann9, E. Saada-Bouzid10, J. Blay11, A. Italiano12

Author affiliations

  • 1 Radiology Department, Bergonie Institute, 33000 - Bordeaux/FR
  • 2 Medical Oncology, Centre Léon Bérard, 69008 - Lyon/FR
  • 3 Medical Oncology, Centre Georges-François Leclerc (Dijon), 21000 - Dijon/FR
  • 4 Medical Oncology, Institut Universitaire du Cancer -Toulouse- Oncopole, 31059 - Toulouse/FR
  • 5 Medical Oncology, Hopital Saint-Antoine, 75571 - Paris/FR
  • 6 Medical Oncology, Hôpital Saint Louis, 75010 - Paris/FR
  • 7 Medical Oncology, Gustave Roussy - Cancer Campus, 94805 - Villejuif/FR
  • 8 Medical Oncology, ICO Institut de Cancerologie de l'Ouest René Gauducheau, 44805 - Saint-Herblain/FR
  • 9 Medical Oncology, Institut Curie, 75005 - Paris/FR
  • 10 Medical Oncology, Hopital Lacassagne, 06100 - Nice/FR
  • 11 Medicine, Centre Léon Bérard, 69008 - Lyon/FR
  • 12 Early Phase Trials Unit, Institute Bergonié, 33076 - Bordeaux/FR


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Abstract 4558


Response of desmoid tumors (DT) to chemotherapy (CT) is evaluated according to RECIST criteria in daily practice and clinical trials. However, MRI demonstrates early change in heterogeneity in responding tumor, due to decrease in cellular area and increase in fibro-necrotic content, before dimensional response. Heterogeneity can be quantified through radiomics approach. Aim was to develop radiomics-based response criteria and to compare their performances with usual criteria.


43 patients (28 women, median age: 38.2) were prospectively included in this ancillary multicentre study of a randomized phase II trial (NCT01876082) as they presented with progressive DT, contrast-enhanced MRI at baseline (MRI-0) and early evaluation (3 months later, MRI-1). After signal intensities normalization, voxel size standardization and segmentation of whole DT volume on fat-suppressed contrast-enhanced T1-weighted imaging, 90 baseline and delta 3D-radiomics features (RF) were extracted. Using least absolute shrinkage and selection operator with Cox regression model and cross validation, a radiomics score based on selected and weighted RF was generated. The performances of prognostic models based on radiomics score, RECIST, mRECIST, EASL, Cheson, Choi and modified-Choi criteria from MRI-0 to MRI-1 to predict progression-free survival (PFS) were assessed with concordance-index. All the results were adjusted for ECOG performance status, initial tumor volume, prior CTs, current CT and B-catenin mutation. Usual response criteria were evaluated in both disease control and objective response settings.


There were 11 progressions. The radiomics score included 4 variables (1 baseline RF and 3 delta-RF). A high radiomics score indicated a poorer prognosis. The radiomics score significantly correlated with PFS (adjusted hazard ratio = 3.39, 95%CI = [1.47-7.79], p = 0.0043) while none of the usual response criteria was (range of p-values = [0.166-0.750]). The prognostic model based on radiomics score had the highest concordance-index (0.794, 95%CI = [0.678-0.910]).


Quantifying heterogeneity with MRI at baseline and its early change through a dedicated radiomics score can improve the response evaluation for DT treated with CT.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

Antoine Italiano.


Has not received any funding.


All authors have declared no conflicts of interest.

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