MR texture analysis: potential imaging biomarker for predicting the chemotherapeutic response of patients with colorectal liver metastases
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Yiqun Sun | T. Tong | Wen-hua Li | T. Hu | Huan Zhang | F. Hu
[1] Sang Joon Park,et al. Prediction of the therapeutic response after FOLFOX and FOLFIRI treatment for patients with liver metastasis from colorectal cancer using computerized CT texture analysis. , 2016, European journal of radiology.
[2] Dakai Zhang,et al. Use of texture analysis based on contrast‐enhanced MRI to predict treatment response to chemoradiotherapy in nasopharyngeal carcinoma , 2016, Journal of magnetic resonance imaging : JMRI.
[3] M. Zeng,et al. Potential of MR histogram analyses for prediction of response to chemotherapy in patients with colorectal hepatic metastases , 2016, European Radiology.
[4] 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.
[5] Walter H Backes,et al. CT texture analysis in colorectal liver metastases: A better way than size and volume measurements to assess response to chemotherapy? , 2016, United European gastroenterology journal.
[6] Wen Yan,et al. Effective staging of fibrosis by the selected texture features of liver: Which one is better, CT or MR imaging? , 2015, Comput. Medical Imaging Graph..
[7] N. Michoux,et al. Texture analysis on MR images helps predicting non-response to NAC in breast cancer , 2015, BMC Cancer.
[8] Alejandro Munoz del Rio,et al. CT textural analysis of hepatic metastatic colorectal cancer: pre-treatment tumor heterogeneity correlates with pathology and clinical outcomes , 2015, Abdominal Imaging.
[9] 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.
[10] A. Jemal,et al. Global cancer statistics, 2012 , 2015, CA: a cancer journal for clinicians.
[11] Jungsu S. Oh,et al. Intratumor Textural Heterogeneity on Pretreatment 18F-FDG PET Images Predicts Response and Survival After Chemoradiotherapy for Hypopharyngeal Cancer , 2015, Annals of Surgical Oncology.
[12] Michael E. Egger,et al. Assessment of chemotherapy response in colorectal liver metastases in patients undergoing hepatic resection and the correlation to pathologic residual viable tumor. , 2013, Journal of the American College of Surgeons.
[13] Vicky Goh,et al. Assessment of tumor heterogeneity by CT texture analysis: can the largest cross-sectional area be used as an alternative to whole tumor analysis? , 2013, European journal of radiology.
[14] Vicky Goh,et al. Are Pretreatment 18F-FDG PET Tumor Textural Features in Non–Small Cell Lung Cancer Associated with Response and Survival After Chemoradiotherapy? , 2013, The Journal of Nuclear Medicine.
[15] J. Shindoh,et al. Optimal morphologic response to preoperative chemotherapy: an alternate outcome end point before resection of hepatic colorectal metastases. , 2012, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[16] Myeong-Jin Kim,et al. Response evaluation in patients with colorectal liver metastases: RECIST version 1.1 versus modified CT criteria. , 2012, AJR. American journal of roentgenology.
[17] K. Miles,et al. Tumour heterogeneity in non-small cell lung carcinoma assessed by CT texture analysis: a potential marker of survival , 2012, European Radiology.
[18] N. Thacker,et al. Quantifying heterogeneity in human tumours using MRI and PET. , 2012, European journal of cancer.
[19] S. Curley,et al. Association of computed tomography morphologic criteria with pathologic response and survival in patients treated with bevacizumab for colorectal liver metastases. , 2009, JAMA.
[20] Balaji Ganeshan,et al. Colorectal cancer: texture analysis of portal phase hepatic CT images as a potential marker of survival. , 2009, Radiology.
[21] L. Shen,et al. Apparent diffusion coefficient: potential imaging biomarker for prediction and early detection of response to chemotherapy in hepatic metastases. , 2008, Radiology.
[22] N. Kemeny. Management of liver metastases from colorectal cancer. , 2006, Oncology.
[23] G. Launoy,et al. A population‐based study of the incidence, management and prognosis of hepatic metastases from colorectal cancer , 2006, The British journal of surgery.
[24] M. Valerio,et al. Phase III randomized trial of FOLFIRI versus FOLFOX4 in the treatment of advanced colorectal cancer: a multicenter study of the Gruppo Oncologico Dell'Italia Meridionale. , 2005, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[25] J. Hecht,et al. Addition of bevacizumab to bolus fluorouracil and leucovorin in first-line metastatic colorectal cancer: results of a randomized phase II trial. , 2005, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[26] C. Tournigand,et al. FOLFIRI Followed by FOLFOX6 or the Reverse Sequence in Advanced Colorectal Cancer: A Randomized GERCOR Study , 2004, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[27] 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.
[28] V. Goh,et al. Non-small cell lung cancer: histopathologic correlates for texture parameters at CT. , 2013, Radiology.
[29] A. Jemal,et al. Global Cancer Statistics , 2011 .