Systemic Inflammatory Markers Combined with Tumor-Infiltrating Lymphocyte Density for the Improved Prediction of Response to Neoadjuvant Chemoradiotherapy in Rectal Cancer

2021 ◽  
Author(s):  
Ryuichiro Sawada ◽  
Takashi Akiyoshi ◽  
Yusuke Kitagawa ◽  
Yukiharu Hiyoshi ◽  
Toshiki Mukai ◽  
...  
Keyword(s):  
Rectal Cancer ◽  
Inflammatory Markers ◽  
Neoadjuvant Chemoradiotherapy ◽  
Prediction Of Response ◽  
Tumor Infiltrating Lymphocyte

scholarly journals Author Correction: Prediction of Response to Neoadjuvant Chemoradiotherapy by MRI-Based Machine Learning Texture Analysis in Rectal Cancer Patients

2019 ◽  
Vol 51 (2) ◽  
pp. 610-610
Author(s):  
Sajad P. Shayesteh ◽  
Afsaneh Alikhassi ◽  
Farshid Farhan ◽  
Reza Ghalehtaki ◽  
Masume Soltanabadi ◽  
...  
Keyword(s):  
Machine Learning ◽  
Rectal Cancer ◽  
Cancer Patients ◽  
Texture Analysis ◽  
Neoadjuvant Chemoradiotherapy ◽  
Prediction Of Response

scholarly journals Radiomics performs comparable to morphologic assessment by expert radiologists for prediction of response to neoadjuvant chemoradiotherapy on baseline staging MRI in rectal cancer

2019 ◽  
Vol 45 (3) ◽  
pp. 632-643 ◽  
Author(s):  
Joost J. M. van Griethuysen ◽  
Doenja M. J. Lambregts ◽  
Stefano Trebeschi ◽  
Max J. Lahaye ◽  
Frans C. H. Bakers ◽  
...  
Keyword(s):  
Rectal Cancer ◽  
Neoadjuvant Chemoradiotherapy ◽  
Prediction Of Response ◽  
Baseline Staging

scholarly journals Prediction of Response to Neoadjuvant Chemoradiotherapy by MRI-Based Machine Learning Texture Analysis in Rectal Cancer Patients

2019 ◽  
Vol 51 (2) ◽  
pp. 601-609 ◽  
Author(s):  
Sajad P. Shayesteh ◽  
Afsaneh Alikhassi ◽  
Farshid Farhan ◽  
Reza Gahletaki ◽  
Masume Soltanabadi ◽  
...  
Keyword(s):  
Machine Learning ◽  
Rectal Cancer ◽  
Cancer Patients ◽  
Texture Analysis ◽  
Neoadjuvant Chemoradiotherapy ◽  
Prediction Of Response
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