Performance of Machine Learning and Texture Analysis for Predicting Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer with 3T MRI
暂无分享,去创建一个
M. Rengo | A. Laghi | D. Caruso | D. Bellini | E. Iannicelli | V. Tombolini | I. Carbone | N. Panvini | S. Vicini
[1] F. Bazzoli,et al. The Heterogeneity of Skewness in T2W-Based Radiomics Predicts the Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer , 2021, Diagnostics.
[2] H. Alkadhi,et al. Radiomics in medical imaging—“how-to” guide and critical reflection , 2020, Insights into Imaging.
[3] I. El Naqa,et al. Electron Density and Biologically Effective Dose (BED) Radiomics-Based Machine Learning Models to Predict Late Radiation-Induced Subcutaneous Fibrosis , 2020, Frontiers in Oncology.
[4] Rafał Obuchowicz,et al. Does image normalization and intensity resolution impact texture classification? , 2020, Comput. Medical Imaging Graph..
[5] Gary Liney,et al. Study protocol: multi-parametric magnetic resonance imaging for therapeutic response prediction in rectal cancer , 2017, BMC Cancer.
[6] Tone F. Bathen,et al. T2-weighted MRI-derived textural features reflect prostate cancer aggressiveness: preliminary results , 2017, European Radiology.
[7] Liang Xu,et al. Application of texture analysis based on apparent diffusion coefficient maps in discriminating different stages of rectal cancer , 2017, Journal of magnetic resonance imaging : JMRI.
[8] R. Lerski,et al. Interim heterogeneity changes measured using entropy texture features on T2-weighted MRI at 3.0 T are associated with pathological response to neoadjuvant chemotherapy in primary breast cancer , 2017, European Radiology.
[9] Vicky Goh,et al. Primary Rectal Cancer: Repeatability of Global and Local-Regional MR Imaging Texture Features , 2017, Radiology.
[10] A. Afaq,et al. Magnetic resonance based texture parameters as potential imaging biomarkers for predicting long‐term survival in locally advanced rectal cancer treated by chemoradiotherapy , 2017, Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland.
[11] B. Ganeshan,et al. Performance of diffusion-weighted imaging, perfusion imaging, and texture analysis in predicting tumoral response to neoadjuvant chemoradiotherapy in rectal cancer patients studied with 3T MR: initial experience , 2016, Abdominal Radiology.
[12] C. Liang,et al. Computed tomography texture analysis to facilitate therapeutic decision making in hepatocellular carcinoma , 2016, Oncotarget.
[13] Richard Emsley,et al. Watch-and-wait approach versus surgical resection after chemoradiotherapy for patients with rectal cancer (the OnCoRe project): a propensity-score matched cohort analysis. , 2016, The Lancet. Oncology.
[14] Felix G. Meinel,et al. Texture Analysis as Imaging Biomarker of Tumoral Response to Neoadjuvant Chemoradiotherapy in Rectal Cancer Patients Studied with 3-T Magnetic Resonance , 2015, Investigative radiology.
[15] Angelita Habr-Gama,et al. Watch and Wait Approach Following Extended Neoadjuvant Chemoradiation for Distal Rectal Cancer: Are We Getting Closer to Anal Cancer Management? , 2013, Diseases of the colon and rectum.
[16] M. P. Hayball,et al. CT texture analysis using the filtration-histogram method: what do the measurements mean? , 2013, Cancer imaging : the official publication of the International Cancer Imaging Society.
[17] S. Galimberti,et al. Locally advanced rectal cancer: value of ADC mapping in prediction of tumor response to radiochemotherapy. , 2013, European journal of radiology.
[18] Bal Sanghera,et al. Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice? , 2012, Insights into Imaging.
[19] Myeong-Jin Kim,et al. Perfusion MRI for the prediction of treatment response after preoperative chemoradiotherapy in locally advanced rectal cancer , 2012, European Radiology.
[20] E. Hoffman,et al. Exploration of the volumetric composition of human lung cancer nodules in correlated histopathology and computed tomography. , 2011, Lung cancer.
[21] G. Brandi,et al. Neoadjuvant Treatment in Rectal Cancer: Actual Status , 2011, Chemotherapy research and practice.
[22] Karin Haustermans,et al. Long-term outcome in patients with a pathological complete response after chemoradiation for rectal cancer: a pooled analysis of individual patient data. , 2010, The Lancet. Oncology.
[23] R. Heald,et al. RECURRENCE AND SURVIVAL AFTER TOTAL MESORECTAL EXCISION FOR RECTAL CANCER , 1986, The Lancet.
[24] V. Goh,et al. Assessment of primary colorectal cancer heterogeneity by using whole-tumor texture analysis: contrast-enhanced CT texture as a biomarker of 5-year survival. , 2013, Radiology.
[25] O. Dworak,et al. Pathological features of rectal cancer after preoperative radiochemotherapy , 1997, International Journal of Colorectal Disease.