Pre-treatment magnetic resonance-based texture features as potential imaging biomarkers for predicting event free survival in anal cancer treated by chemoradiotherapy.

Détails

ID Serval
serval:BIB_799DC781B0C7
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Pre-treatment magnetic resonance-based texture features as potential imaging biomarkers for predicting event free survival in anal cancer treated by chemoradiotherapy.
Périodique
European radiology
Auteur(s)
Hocquelet A., Auriac T., Perier C., Dromain C., Meyer M., Pinaquy J.B., Denys A., Trillaud H., Denis De Senneville B., Vendrely V.
ISSN
1432-1084 (Electronic)
ISSN-L
0938-7994
Statut éditorial
Publié
Date de publication
07/2018
Peer-reviewed
Oui
Volume
28
Numéro
7
Pages
2801-2811
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: ppublish
Résumé
To assess regular MRI findings and tumour texture features on pre-CRT imaging as potential predictive factors of event-free survival (disease progression or death) after chemoradiotherapy (CRT) for anal squamous cell carcinoma (ASCC) without metastasis.
We retrospectively included 28 patients treated by CRT for pathologically proven ASCC with a pre-CRT MRI. Texture analysis was carried out with axial T2W images by delineating a 3D region of interest around the entire tumour volume. First-order analysis by quantification of the histogram was carried out. Second-order statistical texture features were derived from the calculation of the grey-level co-occurrence matrix using a distance of 1 (d1), 2 (d2) and 5 (d5) pixels. Prognostic factors were assessed by Cox regression and performance of the model by the Harrell C-index.
Eight tumour progressions led to six tumour-specific deaths. After adjusting for age, gender and tumour grade, skewness (HR = 0.131, 95% CI = 0-0.447, p = 0.005) and cluster shade_d1 (HR = 0.601, 95% CI = 0-0.861, p = 0.027) were associated with event occurrence. The corresponding Harrell C-indices were 0.846, 95% CI = 0.697-0.993, and 0.851, 95% CI = 0.708-0.994.
ASCC MR texture analysis provides prognostic factors of event occurrence and requires additional studies to assess its potential in an "individual dose" strategy for ASCC chemoradiation therapy.
• MR texture features help to identify tumours with high progression risk. • Texture feature maps help to identify intra-tumoral heterogeneity. • Texture features are a better prognostic factor than regular MR findings.
Mots-clé
Aged, Anus Neoplasms/mortality, Anus Neoplasms/pathology, Anus Neoplasms/therapy, Carcinoma, Squamous Cell/mortality, Carcinoma, Squamous Cell/pathology, Carcinoma, Squamous Cell/therapy, Chemoradiotherapy/methods, Chemoradiotherapy/mortality, Disease-Free Survival, Female, Humans, Magnetic Resonance Imaging/methods, Male, Middle Aged, Retrospective Studies, Treatment Outcome, Tumor Burden, Anal squamous cell carcinoma, Definitive chemoradiotherapy, Imaging biomarkers, Magnetic resonance imaging, Texture analysis
Pubmed
Web of science
Création de la notice
08/02/2018 18:55
Dernière modification de la notice
20/08/2019 15:36
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