Pre-treatment magnetic resonance-based texture features as potential imaging biomarkers for predicting event free survival in anal cancer treated by chemoradiotherapy
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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.
Materials and methods
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.
KeywordsAnal squamous cell carcinoma Magnetic resonance imaging Texture analysis Definitive chemoradiotherapy Imaging biomarkers
Abbreviations and acronyms
Anal squamous s cell cancer
Grey-level co-occurrence matrix
This study was achieved within the context of the Laboratory of Excellence TRAIL ANR-10-LABX-57
The authors state that this work has not received any funding.
Compliance with ethical standards
The scientific guarantor of this publication is Arnaud Hocquelet.
Conflict of interest
The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.
Statistics and biometry
One of the authors has significant statistical expertise.
Institutional Review Board approval was obtained.
Written informed consent was waived by the Institutional Review Board.
• diagnostic or prognostic study
• performed at one institution
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