Predicting locally advanced rectal cancer response to neoadjuvant therapy with 18F-FDG PET and MRI radiomics features

被引：0
|
作者：
V. Giannini
S. Mazzetti
I. Bertotto
C. Chiarenza
S. Cauda
E. Delmastro
C. Bracco
A. Di Dia
F. Leone
E. Medico
A. Pisacane
D. Ribero
M. Stasi
D. Regge
机构：
[1] Candiolo Cancer Institute,Imaging Unit
[2] FPO-IRCCS,Department of Surgical Sciences
[3] University of Turin,Nuclear Medicine Unit
[4] Candiolo Cancer Institute,Radiation Therapy Unit
[5] FPO-IRCCS,Medical Physics Unit
[6] Candiolo Cancer Institute,Medical Oncology Unit
[7] FPO-IRCCS,Laboratory of Oncogenomics
[8] Candiolo Cancer Institute,Pathology Unit
[9] FPO-IRCCS,Hepatobilio
[10] Candiolo Cancer Institute,Pancreatic and Colorectal Surgery Unit
[11] FPO-IRCCS,undefined
[12] Candiolo Cancer Institute,undefined
[13] FPO-IRCCS,undefined
[14] Candiolo Cancer Institute,undefined
[15] FPO-IRCCS,undefined
[16] Candiolo Cancer Institute,undefined
[17] FPO-IRCCS,undefined
来源：
European Journal of Nuclear Medicine and Molecular Imaging | 2019年 / 46卷
关键词：
Locally advanced rectal cancer; F-FDG PET/CT imaging; Magnetic resonance imaging; Texture features; Prediction of treatment response; Radiomics;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：878 / 888
页数：10
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