Radiomic Features of Primary Rectal Cancers on Baseline T2 -Weighted MRI Are Associated With Pathologic Complete Response to Neoadjuvant Chemoradiation: A Multisite Study
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Title
Radiomic Features of Primary Rectal Cancers on Baseline T2
-Weighted MRI Are Associated With Pathologic Complete Response to Neoadjuvant Chemoradiation: A Multisite Study
Authors
Keywords
-
Journal
JOURNAL OF MAGNETIC RESONANCE IMAGING
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2020-03-26
DOI
10.1002/jmri.27140
References
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Note: Only part of the references are listed.- Cancer statistics, 2020
- (2020) Rebecca L. Siegel et al. CA-A CANCER JOURNAL FOR CLINICIANS
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- (2018) Natally Horvat et al. RADIOLOGY
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- (2018) Gregory Penzias et al. PLoS One
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- (2016) K. Nie et al. CLINICAL CANCER RESEARCH
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- (2016) Prateek Prasanna et al. EUROPEAN RADIOLOGY
- Watch-and-wait approach versus surgical resection after chemoradiotherapy for patients with rectal cancer (the OnCoRe project): a propensity-score matched cohort analysis
- (2016) Andrew G Renehan et al. LANCET ONCOLOGY
- Radiomics: Images Are More than Pictures, They Are Data
- (2016) Robert J. Gillies et al. RADIOLOGY
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- Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe): A new radiomics descriptor
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- Texture Analysis as Imaging Biomarker of Tumoral Response to Neoadjuvant Chemoradiotherapy in Rectal Cancer Patients Studied with 3-T Magnetic Resonance
- (2015) Carlo N. De Cecco et al. INVESTIGATIVE RADIOLOGY
- Machine Learning methods for Quantitative Radiomic Biomarkers
- (2015) Chintan Parmar et al. Scientific Reports
- Clinical Criteria Underestimate Complete Pathological Response in Rectal Cancer Treated With Neoadjuvant Chemoradiotherapy
- (2014) Fraser M. Smith et al. DISEASES OF THE COLON & RECTUM
- Identifying quantitative in vivo multi-parametric MRI features for treatment related changes after laser interstitial thermal therapy of prostate cancer
- (2014) Satish Viswanath et al. NEUROCOMPUTING
- Magnetic resonance imaging in rectal cancer: A surgeon’s perspective
- (2014) Avanish P Saklani WORLD JOURNAL OF GASTROENTEROLOGY
- 3D Slicer as an image computing platform for the Quantitative Imaging Network
- (2012) Andriy Fedorov et al. MAGNETIC RESONANCE IMAGING
- Preoperative radiotherapy combined with total mesorectal excision for resectable rectal cancer: 12-year follow-up of the multicentre, randomised controlled TME trial
- (2011) Willem van Gijn et al. LANCET ONCOLOGY
- Rectal cancer radiotherapy: Towards European consensus
- (2010) Vincenzo Valentini et al. ACTA ONCOLOGICA
- N4ITK: Improved N3 Bias Correction
- (2010) Nicholas J Tustison et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Long-term outcome in patients with a pathological complete response after chemoradiation for rectal cancer: a pooled analysis of individual patient data
- (2010) Monique Maas et al. LANCET ONCOLOGY
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