Pretreatment CT Texture Parameters as Predictive Biomarkers of Progression-Free Survival in Follicular Lymphoma Treated with Immunochemotherapy and Rituximab Maintenance

Author:

Durot Carole1,Durot Eric2ORCID,Mulé Sébastien34ORCID,Morland David56ORCID,Godard François3,Quinquenel Anne2,Delmer Alain2ORCID,Soyer Philippe78ORCID,Hoeffel Christine16

Affiliation:

1. Department of Radiology, Reims University Hospital, 45 Rue Cognacq-Jay, 51092 Reims, France

2. Department of Hematology, Reims University Hospital, 45 Rue Cognacq-Jay, 51092 Reims, France

3. Department of Radiology, Henri Mondor University Hospital, 51 Avenue du Maréchal de Lattre de Tassigny, 94010 Créteil, France

4. Faculté de Médecine, Université Paris-Est Créteil, 61 Avenue du Général de Gaulle, 94000 Créteil, France

5. Department of Nuclear Medicine, Godinot Institute, 1 Rue du Général Koenig, 51100 Reims, France

6. CReSTIC, EA 3804, University of Reims Champagne-Ardenne, UFR Moulin de la Housse, 51867 Reims, France

7. Department of Radiology, Hôpital Cochin, AP-HP, 27 Rue du Faubourg Saint-Jacques, 75014 Paris, France

8. Faculté de Médecine, Université Paris Cité, 75006 Paris, France

Abstract

The purpose of this study was to determine whether texture analysis features present on pretreatment unenhanced computed tomography (CT) images, derived from 18F-fluorodeoxyglucose positron emission/computed tomography (18-FDG PET/CT), can predict progression-free survival (PFS), progression-free survival at 24 months (PFS 24), time to next treatment (TTNT), and overall survival in patients with high-tumor-burden follicular lymphoma treated with immunochemotherapy and rituximab maintenance. Seventy-two patients with follicular lymphoma were retrospectively included. Texture analysis was performed on unenhanced CT images extracted from 18-FDG PET/CT examinations that were obtained within one month before treatment. Skewness at a fine texture scale (SSF = 2) was an independent predictor of PFS (hazard ratio = 3.72 (95% CI: 1.15, 12.11), p = 0.028), PFS 24 (hazard ratio = 13.38; 95% CI: 1.29, 138.13; p = 0.029), and TTNT (hazard ratio = 5.11; 95% CI: 1.18, 22.13; p = 0.029). Skewness values above −0.015 at SSF = 2 were significantly associated with lower PFS, PFS 24, and TTNT. Kurtosis without filtration was an independent predictor of PFS (SSF = 0; HR = 1.22 (95% CI: 1.04, 1.44), p = 0.013), and TTNT (SSF = 0; hazard ratio = 1.23; 95% CI: 1.04, 1.46; p = 0.013). This study shows that pretreatment unenhanced CT texture analysis-derived tumor skewness and kurtosis may be used as predictive biomarkers of PFS and TTNT in patients with high-tumor-burden follicular lymphoma treated with immunochemotherapy and rituximab maintenance.

Publisher

MDPI AG

Subject

Clinical Biochemistry

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