Fractal-based radiomic approach to predict complete pathological response after chemo-radiotherapy in rectal cancer
出版年份 2017 全文链接
标题
Fractal-based radiomic approach to predict complete pathological response after chemo-radiotherapy in rectal cancer
作者
关键词
Radiomics, Fractals, Rectal cancer, Predictive model, Magnetic resonance imaging
出版物
Radiologia Medica
Volume 123, Issue 4, Pages 286-295
出版商
Springer Nature
发表日期
2017-12-11
DOI
10.1007/s11547-017-0838-3
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Radiomics: Images Are More than Pictures, They Are Data
- (2016) Robert J. Gillies et al. RADIOLOGY
- Radiomics-based differentiation of lung disease models generated by polluted air based on X-ray computed tomography data
- (2016) Krisztián Szigeti et al. BMC MEDICAL IMAGING
- The Quantitative Criteria Based on the Fractal Dimensions, Entropy, and Lacunarity for the Spatial Distribution of Cancer Cell Nuclei Enable Identification of Low or High Aggressive Prostate Carcinomas
- (2016) Przemyslaw Waliszewski Frontiers in Physiology
- Radiomics for rectal cancer
- (2016) Nicola Dinapoli et al. Translational Cancer Research
- Automatic prediction of tumour malignancy in breast cancer with fractal dimension
- (2016) Alan Chan et al. Royal Society Open Science
- Combined T2w volumetry, DW-MRI and DCE-MRI for response assessment after neo-adjuvant chemoradiation in locally advanced rectal cancer
- (2015) Martijn Intven et al. ACTA ONCOLOGICA
- Selection of appropriate end-points (pCR vs 2yDFS) for tailoring treatments with prediction models in locally advanced rectal cancer
- (2015) Vincenzo Valentini et al. RADIOTHERAPY AND ONCOLOGY
- CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma
- (2015) Thibaud P. Coroller et al. RADIOTHERAPY AND ONCOLOGY
- Machine Learning methods for Quantitative Radiomic Biomarkers
- (2015) Chintan Parmar et al. Scientific Reports
- Quantification of Heterogeneity as a Biomarker in Tumor Imaging: A Systematic Review
- (2014) Lejla Alic et al. PLoS One
- Nomogram predicting response after chemoradiotherapy in rectal cancer using sequential PETCT imaging: A multicentric prospective study with external validation
- (2014) Ruud G.P.M. van Stiphout et al. RADIOTHERAPY AND ONCOLOGY
- Cancer Genome Landscapes
- (2013) B. Vogelstein et al. SCIENCE
- Quantitating the subtleties of microglial morphology with fractal analysis
- (2013) Audrey Karperien et al. Frontiers in Cellular Neuroscience
- Radiomics: Extracting more information from medical images using advanced feature analysis
- (2012) Philippe Lambin et al. EUROPEAN JOURNAL OF CANCER
- Preoperative Versus Postoperative Chemoradiotherapy for Locally Advanced Rectal Cancer: Results of the German CAO/ARO/AIO-94 Randomized Phase III Trial After a Median Follow-Up of 11 Years
- (2012) Rolf Sauer et al. JOURNAL OF CLINICAL ONCOLOGY
- Radiomics: the process and the challenges
- (2012) Virendra Kumar et al. MAGNETIC RESONANCE IMAGING
- Assessment of Primary Colorectal Cancer Heterogeneity by Using Whole-Tumor Texture Analysis: Contrast-enhanced CT Texture as a Biomarker of 5-year Survival
- (2012) Francesca Ng et al. RADIOLOGY
- Wait-and-See Policy for Clinical Complete Responders After Chemoradiation for Rectal Cancer
- (2011) Monique Maas et al. JOURNAL OF CLINICAL ONCOLOGY
- Locally Advanced Rectal Cancer: MR Imaging in Prediction of Response after Preoperative Chemotherapy and Radiation Therapy
- (2009) Brunella Barbaro et al. RADIOLOGY
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