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

Details

Serval ID
serval:BIB_799DC781B0C7
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Pre-treatment magnetic resonance-based texture features as potential imaging biomarkers for predicting event free survival in anal cancer treated by chemoradiotherapy.
Journal
European radiology
Author(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
Publication state
Published
Issued date
07/2018
Peer-reviewed
Oui
Volume
28
Number
7
Pages
2801-2811
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Abstract
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.
Keywords
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
Create date
08/02/2018 18:55
Last modification date
20/08/2019 15:36
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