Multiphase and multiparameter MRI-based radiomics for prediction of tumor response to neoadjuvant therapy in locally advanced rectal cancer
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Title
Multiphase and multiparameter MRI-based radiomics for prediction of tumor response to neoadjuvant therapy in locally advanced rectal cancer
Authors
Keywords
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Journal
Radiation Oncology
Volume 18, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2023-10-31
DOI
10.1186/s13014-023-02368-4
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Note: Only part of the references are listed.- Promises and Challenges of Predictive Blood Biomarkers for Locally Advanced Rectal Cancer Treated with Neoadjuvant Chemoradiotherapy
- (2023) Joao Victor Machado Carvalho et al. Cells
- Transcriptomic Analyses of Pretreatment Tumor Biopsy Samples, Response to Neoadjuvant Chemoradiotherapy, and Survival in Patients With Advanced Rectal Cancer
- (2023) Takashi Akiyoshi et al. JAMA Network Open
- Watch-and-Wait Approach to Rectal Cancer: The Role of Imaging
- (2023) Vetri Sudar Jayaprakasam et al. RADIOLOGY
- Long-term Quality of Life and Functional Outcome of Patients With Rectal Cancer Following a Watch-and-Wait Approach
- (2023) Petra A. Custers et al. JAMA Surgery
- MRI Radiomics Model Predicts Pathologic Complete Response of Rectal Cancer Following Chemoradiotherapy
- (2022) Jaeseung Shin et al. RADIOLOGY
- Effect of pathological complete response after neoadjuvant chemoradiotherapy on postoperative complications of rectal cancer: a systematic review and meta-analysis
- (2022) J. Yang et al. Techniques in Coloproctology
- Organ Preservation in Patients With Rectal Adenocarcinoma Treated With Total Neoadjuvant Therapy
- (2022) Julio Garcia-Aguilar et al. JOURNAL OF CLINICAL ONCOLOGY
- Rectal Cancer, Version 2.2022, NCCN Clinical Practice Guidelines in Oncology
- (2022) Al B. Benson et al. Journal of the National Comprehensive Cancer Network
- Optimal Neoadjuvant Strategies for Locally Advanced Rectal Cancer by Risk Assessment and Tumor Location
- (2022) Anurag Saraf et al. Journal of the National Comprehensive Cancer Network
- Differential and longitudinal immune gene patterns associated with reprogrammed microenvironment and viral mimicry in response to neoadjuvant radiotherapy in rectal cancer
- (2021) Anna Wilkins et al. Journal for ImmunoTherapy of Cancer
- Ultrasound-based deep learning radiomics in the assessment of pathological complete response to neoadjuvant chemotherapy in locally advanced breast cancer
- (2021) Meng Jiang et al. EUROPEAN JOURNAL OF CANCER
- Multiparameter MRI-based radiomics for preoperative prediction of extramural venous invasion in rectal cancer
- (2021) Zhenyu Shu et al. EUROPEAN RADIOLOGY
- Image-based deep learning model for predicting pathological response in rectal cancer using post-chemoradiotherapy magnetic resonance imaging
- (2021) Bum-Sup Jang et al. RADIOTHERAPY AND ONCOLOGY
- Biomarkers and cell-based models to predict the outcome of neoadjuvant therapy for rectal cancer patients
- (2021) Aylin Alkan et al. Biomarker Research
- Cancer statistics, 2020
- (2020) Rebecca L. Siegel et al. CA-A CANCER JOURNAL FOR CLINICIANS
- How to measure tumour response in rectal cancer? An explanation of discrepancies and suggestions for improvement
- (2020) Iris D. Nagtegaal et al. CANCER TREATMENT REVIEWS
- MR tumor regression grade for pathological complete response in rectal cancer post neoadjuvant chemoradiotherapy: a systematic review and meta-analysis for accuracy
- (2020) Jong Keon Jang et al. EUROPEAN RADIOLOGY
- Introduction to Radiomics
- (2020) Marius E Mayerhoefer et al. JOURNAL OF NUCLEAR MEDICINE
- Targeting hallmarks of cancer to enhance radiosensitivity in gastrointestinal cancers
- (2020) Amy M. Buckley et al. Nature Reviews Gastroenterology & Hepatology
- Pre-Treatment T2-WI Based Radiomics Features for Prediction of Locally Advanced Rectal Cancer Non-Response to Neoadjuvant Chemoradiotherapy: A Preliminary Study
- (2020) Bianca Petresc et al. Cancers
- Predicting distant metastasis and chemotherapy benefit in locally advanced rectal cancer
- (2020) Zhenyu Liu et al. Nature Communications
- MRI Evaluation of the Response of Rectal Cancer to Neoadjuvant Chemoradiation Therapy
- (2019) Kevin R. Kalisz et al. RADIOGRAPHICS
- Radiomics-Based Pretherapeutic Prediction of Non-response to Neoadjuvant Therapy in Locally Advanced Rectal Cancer
- (2019) Xuezhi Zhou et al. ANNALS OF SURGICAL ONCOLOGY
- Pre-treatment ADC image-based random forest classifier for identifying resistant rectal adenocarcinoma to neoadjuvant chemoradiotherapy
- (2019) Chun Yang et al. INTERNATIONAL JOURNAL OF COLORECTAL DISEASE
- 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
- Magnetic resonance imaging for clinical management of rectal cancer: Updated recommendations from the 2016 European Society of Gastrointestinal and Abdominal Radiology (ESGAR) consensus meeting
- (2017) Regina G. H. Beets-Tan et al. EUROPEAN RADIOLOGY
- Radiomics: the bridge between medical imaging and personalized medicine
- (2017) Philippe Lambin et al. Nature Reviews Clinical Oncology
- Tumour heterogeneity and resistance to cancer therapies
- (2017) Ibiayi Dagogo-Jack et al. Nature Reviews Clinical Oncology
- Magnetic Resonance Tumor Regression Grade and Residual Mucosal Abnormality as Predictors for Pathological Complete Response in Rectal Cancer Postneoadjuvant Chemoradiotherapy
- (2016) Jemma Bhoday et al. DISEASES OF THE COLON & RECTUM
- The Potential of Radiomic-Based Phenotyping in Precision Medicine
- (2016) Hugo J. W. L. Aerts JAMA Oncology
- MRI for assessing and predicting response to neoadjuvant treatment in rectal cancer
- (2014) Regina G. H. Beets-Tan et al. Nature Reviews Gastroenterology & Hepatology
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