Studying local tumour heterogeneity on MRI and FDG-PET/CT to predict response to neoadjuvant chemoradiotherapy in rectal cancer
出版年份 2021 全文链接
标题
Studying local tumour heterogeneity on MRI and FDG-PET/CT to predict response to neoadjuvant chemoradiotherapy in rectal cancer
作者
关键词
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出版物
EUROPEAN RADIOLOGY
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2021-02-11
DOI
10.1007/s00330-021-07724-0
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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。- Value of combined multiparametric MRI and FDG-PET/CT to identify well-responding rectal cancer patients before the start of neoadjuvant chemoradiation
- (2020) Niels W. Schurink et al. EUROPEAN RADIOLOGY
- Clinical implications of intratumor heterogeneity: challenges and opportunities
- (2020) Santiago Ramón y Cajal et al. JOURNAL OF MOLECULAR MEDICINE-JMM
- Deep learning-based radiomic features for improving neoadjuvant chemoradiation response prediction in locally advanced rectal cancer
- (2020) Jie Fu et al. PHYSICS IN MEDICINE AND BIOLOGY
- Radiomic Features of Primary Rectal Cancers on Baseline T2 -Weighted MRI Are Associated With Pathologic Complete Response to Neoadjuvant Chemoradiation: A Multisite Study
- (2020) Jacob T. Antunes et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Clinical utility of radiomics at baseline rectal MRI to predict complete response of rectal cancer after chemoradiation therapy
- (2020) Iva Petkovska et al. Abdominal Radiology
- Predicting pathological complete response in rectal cancer after chemoradiotherapy with a random forest using 18F-fluorodeoxyglucose positron emission tomography and computed tomography radiomics
- (2020) Wei-Chih Shen et al. Annals of Translational Medicine
- Radiomics of Liver Metastases: A Systematic Review
- (2020) Francesco Fiz et al. Cancers
- Predicting locally advanced rectal cancer response to neoadjuvant therapy with 18F-FDG PET and MRI radiomics features
- (2019) V. Giannini et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- Prediction of efficacy of neoadjuvant chemoradiotherapy for rectal cancer: the value of texture analysis of magnetic resonance images
- (2019) Zhenyu Shu et al. Abdominal Radiology
- Tumor Heterogeneity as a Predictor of Response to Neoadjuvant Chemotherapy in Locally-Advanced Rectal Cancer
- (2019) Alissa Greenbaum et al. Clinical Colorectal Cancer
- Radiomics-Based Pretherapeutic Prediction of Non-response to Neoadjuvant Therapy in Locally Advanced Rectal Cancer
- (2019) Xuezhi Zhou et al. ANNALS OF SURGICAL ONCOLOGY
- Predicting the pathological response to chemoradiotherapy of non-mucinous rectal cancer using pretreatment texture features based on intravoxel incoherent motion diffusion-weighted imaging
- (2019) Siye Liu et al. Abdominal Radiology
- Neo-adjuvant chemoradiotherapy response prediction using MRI based ensemble learning method in rectal cancer patients
- (2019) Sajad P. Shayesteh et al. Physica Medica-European Journal of Medical Physics
- MRI-Based Radiomics Predicts Tumor Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer
- (2019) Xiaoping Yi et al. Frontiers in Oncology
- Machine learning for prediction of chemoradiation therapy response in rectal cancer using pre-treatment and mid-radiation multi-parametric MRI
- (2019) Liming Shi et al. MAGNETIC RESONANCE IMAGING
- Radiomic analysis for response assessment in advanced head and neck cancers, a distant dream or an inevitable reality? A systematic review of the current level of evidence
- (2019) Amrita Guha et al. BRITISH JOURNAL OF RADIOLOGY
- Radiomics performs comparable to morphologic assessment by expert radiologists for prediction of response to neoadjuvant chemoradiotherapy on baseline staging MRI in rectal cancer
- (2019) Joost J. M. van Griethuysen et al. Abdominal Radiology
- Radiomics Model Based on Non-Contrast CT Shows No Predictive Power for Complete Pathological Response in Locally Advanced Rectal Cancer
- (2019) Gordian Hamerla et al. Cancers
- Exploring breast cancer response prediction to neoadjuvant systemic therapy using MRI-based radiomics: A systematic review
- (2019) R.W.Y. Granzier et al. EUROPEAN JOURNAL OF RADIOLOGY
- Magnetic Resonance, Vendor-independent, Intensity Histogram Analysis Predicting Pathologic Complete Response After Radiochemotherapy of Rectal Cancer
- (2018) Nicola Dinapoli et al. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
- Radiomics analysis of multiparametric MRI for prediction of pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer
- (2018) Yanfen Cui et al. EUROPEAN RADIOLOGY
- Response to neoadjuvant chemoradiotherapy for locally advanced rectum cancer: Texture analysis of dynamic contrast-enhanced MRI
- (2018) Hai-hua Zou et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Deep Learning and Radiomics predict complete response after neo-adjuvant chemoradiation for locally advanced rectal cancer
- (2018) Jean-Emmanuel Bibault et al. Scientific Reports
- Diffusion-weighted imaging in rectal cancer: current applications and future perspectives
- (2018) Niels Schurink et al. BRITISH JOURNAL OF RADIOLOGY
- Heterogeneity in Colorectal Cancer: A Challenge for Personalized Medicine?
- (2018) Chiara Molinari et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- FDG PET/CT radiomics for predicting the outcome of locally advanced rectal cancer
- (2017) Pierre Lovinfosse et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- Fractal-based radiomic approach to predict complete pathological response after chemo-radiotherapy in rectal cancer
- (2017) Davide Cusumano et al. Radiologia Medica
- Quantitative imaging outperforms molecular markers when predicting response to chemoradiotherapy for rectal cancer
- (2017) Ines Joye et al. RADIOTHERAPY AND ONCOLOGY
- CT texture analysis in patients with locally advanced rectal cancer treated with neoadjuvant chemoradiotherapy: A potential imaging biomarker for treatment response and prognosis
- (2017) Choong Guen Chee et al. PLoS One
- Rectal Cancer: Assessment of Neoadjuvant Chemoradiation Outcome based on Radiomics of Multiparametric MRI
- (2016) K. Nie et al. CLINICAL CANCER RESEARCH
- 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
- Translational Implications of Tumor Heterogeneity
- (2015) M. Jamal-Hanjani et al. CLINICAL CANCER RESEARCH
- Assessing pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a systematic review
- (2015) J. E. Ryan et al. Colorectal Disease
- Imaging Intratumor Heterogeneity: Role in Therapy Response, Resistance, and Clinical Outcome
- (2014) J. P. B. O'Connor et al. CLINICAL CANCER RESEARCH
- Multiparametric MRI of Rectal Cancer in the Assessment of Response to Therapy
- (2014) Andreas M. Hötker et al. DISEASES OF THE COLON & RECTUM
- Early prediction of response by 18F-FDG PET/CT during preoperative therapy in locally advanced rectal cancer: A systematic review
- (2014) A.M. Maffione et al. EJSO
- Combined pre-treatment MRI and 18F-FDG PET/CT parameters as prognostic biomarkers in patients with cervical cancer
- (2014) Maura Miccò et al. EUROPEAN JOURNAL OF RADIOLOGY
- The role of diffusion-weighted MRI and 18F-FDG PET/CT in the prediction of pathologic complete response after radiochemotherapy for rectal cancer: A systematic review
- (2014) Ines Joye et al. RADIOTHERAPY AND ONCOLOGY
- Medical image registration: a review
- (2012) Francisco P.M. Oliveira et al. COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING
- The molecular evolution of acquired resistance to targeted EGFR blockade in colorectal cancers
- (2012) Luis A. Diaz Jr et al. NATURE
- The use of FDG-PET/CT and diffusion-weighted magnetic resonance imaging for response prediction before, during and after preoperative chemoradiotherapy for rectal cancer
- (2010) Maarten Lambrecht et al. ACTA ONCOLOGICA
- Integrating a 1.5 T MRI scanner with a 6 MV accelerator: proof of concept
- (2009) B W Raaymakers et al. PHYSICS IN MEDICINE AND BIOLOGY
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