ArticleEuropean radiology2018
Pre-treatment magnetic resonance-based texture features as potential imaging biomarkers for predicting event free survival in anal cancer treated by chemoradiotherapy.
Article in European radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Clinical Practice Guideline: Anal Cancer—Diagnosis, Treatment and Follow-upDeutsches Arzteblatt international · 2021Guideline
- Predicting locoregional treatment failure in anal cancer using multivariable clinical-imaging models.Clinical and translational radiation oncology · 2026Article
- Imaging Biomarkers in Radiotherapy.Cancers · 2026Review
- Progress of MRI-based radiomics and deep learning for predicting the prognosis of locally advanced rectal cancer (Review).Oncology letters · 2025Review
- MRI-based radiomics nomogram to predict complete response to definitive chemoradiation in patients with anal cancer.The British journal of radiology · 2025Article
- Recurrence-free survival prediction for anal squamous cell carcinoma after chemoradiotherapy using planning CT-based radiomics model.The British journal of radiology · 2025Article
- Factors Influencing Outcomes and Survival in Anal Cancer.Current oncology (Toronto, Ont.) · 2024Article
- Diffusion-weighted magnetic resonance imaging as an early prognostic marker of chemoradiotherapy response in squamous cell carcinoma of the anus: An individual patient dataPhysics and imaging in radiation oncology · 2024Article
- Magnetic resonance imaging of anal cancer: tumor characteristics and early prediction of treatment outcome.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2024Article
- Texture analysis of apparent diffusion coefficient maps: can it identify nonresponse to neoadjuvant chemotherapy for additional radiation therapy in rectal cancer patients?Gastroenterology report · 2024Article
- A common [18F]-FDG PET radiomic signature to predict survival in patients with HPV-induced cancers.European journal of nuclear medicine and molecular imaging · 2023Article
- Estimating Risk of Locoregional Failure and Overall Survival in Anal Cancer Following Chemoradiation: A Machine Learning Approach.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2023Article
- Prediction using T2-weighted magnetic resonance imaging-based radiomics of residual uterine myoma regrowth after high-intensity focused ultrasound ablation.Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology · 2022Article
- MRI-Based Radiomics Input for Prediction of 2-Year Disease Recurrence in Anal Squamous Cell Carcinoma.Cancers · 2021Article
- Computed Tomography-Based Radiomics in Predicting T Stage and Length of Esophageal Squamous Cell Carcinoma.Frontiers in oncology · 2021Article
- Anal dysplasia and anal cancer. English version.Der Hautarzt; Zeitschrift fur Dermatologie, Venerologie, und verwandte Gebiete · 2020Review
- MRI features and texture analysis for the early prediction of therapeutic response to neoadjuvant chemoradiotherapy and tumor recurrence of locally advanced rectal cancer.European radiology · 2020Article
- Development of a Novel Multiparametric MRI Radiomic Nomogram for Preoperative Evaluation of Early Recurrence in Resectable Pancreatic Cancer.Journal of magnetic resonance imaging : JMRI · 2020Article
- [Anal dysplasia and anal cancer].Der Hautarzt; Zeitschrift fur Dermatologie, Venerologie, und verwandte Gebiete · 2020Review
- Prediction of outcome in anal squamous cell carcinoma using radiomic feature analysis of pre-treatment FDG PET-CT.European journal of nuclear medicine and molecular imaging · 2019Article
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10 authors.
Funding
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Abstract
aimTo 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
methodsWe 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.
resultsEight 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.
conclusionASCC 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.
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