Prediction of EGFR mutation status through radiomic features from 18F FDG PET/CT in NSCLC cohort of patients

被引：0
|
作者：
Monaco, L. [1 ]
De Bernardi, E. [1 ,2 ]
Bertola, F. [3 ]
Bono, F. [4 ]
Casati, G. [4 ]
Cortinovis, D. [5 ]
Crivellaro, C. [6 ]
Elisei, F. [6 ]
L'Imperio, V. [4 ]
Landoni, C. [1 ,6 ]
Pagni, F. [4 ]
Turolla, E. [1 ,7 ]
Messa, C. [1 ]
Guerra, L. [1 ,6 ]
机构：
[1] Univ Milano Bicocca, Sch Med & Surg, Monza, Italy
[2] Univ Milano Bicocca, Ctr Ric Interdipartimentale Bicocca Bioinform Bio, Monza, Italy
[3] ASST Monza, San Gerardo Hosp, Med Genet, Monza, Italy
[4] Univ Milano Bicocca, San Gerardo Hosp, ASST Monza, Dept Med & Surg,Pathol, Monza, Italy
[5] ASST Monza, San Gerardo Hosp, Med Oncol, Monza, Italy
[6] ASST Monza, San Gerardo Hosp, Dept Nucl Med, Monza, Italy
[7] Univ Milano Bicocca, Tecnomed Fdn, Monza, Italy
来源：
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING | 2022年 / 49卷 / SUPPL 1期
关键词：
D O I：
暂无
中图分类号：
R8 [特种医学]; R445 [影像诊断学];
学科分类号：
1002 ; 100207 ; 1009 ;
摘要：
108
引用
收藏
页码：S468 / S468
页数：1
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