Automatic Classification of Lymph Node Metastasis in Non-Small-Cell Lung Cancer (NSCLC) Patient on F-18-FDG PET/CT

Author(s):  
Tsu-Chi Cheng ◽  
Nan-Tsing Chiu ◽  
Yu-Hua Fang
2012 ◽  
Vol 22 (7) ◽  
pp. 1556-1563 ◽  
Author(s):  
Sang Min Lee ◽  
Chang Min Park ◽  
Jin Chul Paeng ◽  
Hyung Jun Im ◽  
Jin Mo Goo ◽  
...  

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Lan Yao ◽  
Mingfei Zuo ◽  
Na Zhang ◽  
Tian Bai ◽  
Qicheng Huang

In China, lung cancer is one of the leading causes of death among residents. Early diagnosis is of great significance for early interventional treatment and prolonging survival. PET/CT uses positron radiopharmaceuticals to observe the physiological and biochemical changes of the drug and its metabolites in the body and finally diagnoses the disease. 18F-FDG is a commonly used imaging agent, but its short isotopic half-life limits clinical high-throughput testing. This study retrospectively analyzed the imaging material of 100 lung cancer patients pathologically confirmed. Patients with lymph node metastasis were classified into the LM group ( n = 30 cases), and those with no lymph node metastasis were classified into the NLM group ( n = 70 cases). The results showed that MRI of superparamagnetic nanoferric oxide was better than diagnosis of lung cancer by the 18F-FDG PET/CT and had a high predictive power for lymph node metastasis. These turned out to be high-value lung cancer diagnosis of superparamagnetic nanoferric oxide MRI and high-capacity lymph node metastasis prediction of 18F-FDG PET/CT, which were worthy of implementation.


Surgery Today ◽  
2015 ◽  
Vol 45 (4) ◽  
pp. 478-478
Author(s):  
Ryuichi Karashima ◽  
Masayuki Watanabe ◽  
Yu Imamura ◽  
Satoshi Ida ◽  
Yoshifumi Baba ◽  
...  

Lung Cancer ◽  
2021 ◽  
Author(s):  
Julian M.M. Rogasch ◽  
Nikolaj Frost ◽  
Stephanie Bluemel ◽  
Liza Michaels ◽  
Tobias Penzkofer ◽  
...  

2014 ◽  
Vol 15 (18) ◽  
pp. 7719-7724 ◽  
Author(s):  
Ru Tan ◽  
Shu-Zhan Yao ◽  
Zhao-Qin Huang ◽  
Jun Li ◽  
Xin Li ◽  
...  

2019 ◽  
Vol 44 (3) ◽  
pp. 828-835 ◽  
Author(s):  
Thitinan Chulroek ◽  
Hamed Kordbacheh ◽  
Dearada Wangcharoenrung ◽  
Kamonwon Cattapan ◽  
Pedram Heidari ◽  
...  

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