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Published in: European Radiology 7/2018

01-07-2018 | Magnetic Resonance

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

Authors: Arnaud Hocquelet, Thibaut Auriac, Cynthia Perier, Clarisse Dromain, Marie Meyer, Jean-Baptiste Pinaquy, Alban Denys, Hervé Trillaud, Baudouin Denis De Senneville, Véronique Vendrely

Published in: European Radiology | Issue 7/2018

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Abstract

Aim

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.

Results

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.

Conclusion

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.

Key Points

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.
Appendix
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Metadata
Title
Pre-treatment magnetic resonance-based texture features as potential imaging biomarkers for predicting event free survival in anal cancer treated by chemoradiotherapy
Authors
Arnaud Hocquelet
Thibaut Auriac
Cynthia Perier
Clarisse Dromain
Marie Meyer
Jean-Baptiste Pinaquy
Alban Denys
Hervé Trillaud
Baudouin Denis De Senneville
Véronique Vendrely
Publication date
01-07-2018
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 7/2018
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-017-5284-z

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