Prediction of Occult Lymph Node Metastasis Using Tumor-to-Blood Standardized Uptake Ratio and Metabolic Parameters in Clinical N0 Lung Adenocarcinoma

2018 ◽  
Vol 43 (10) ◽  
pp. 715-720 ◽  
Author(s):  
Ming-li Ouyang ◽  
Kun Tang ◽  
Man-man Xu ◽  
Jie Lin ◽  
Tian-cheng Li ◽  
...  
2019 ◽  
Vol 11 (4) ◽  
pp. 1410-1420 ◽  
Author(s):  
Cheng-Yang Song ◽  
Daisuke Kimura ◽  
Takehiro Sakai ◽  
Takao Tsushima ◽  
Ikuo Fukuda

2021 ◽  
Vol 11 (1) ◽  
pp. 215-225
Author(s):  
Lili Wang ◽  
Tiancheng Li ◽  
Junjie Hong ◽  
Mingyue Zhang ◽  
Mingli Ouyang ◽  
...  

2021 ◽  
Author(s):  
Zhile Wang ◽  
Yijun Wu ◽  
Li Wang ◽  
Liang Gong ◽  
Chang Han ◽  
...  

Background: Previous researches had not proposed any prediction models for occult lymph node metastasis (OLNM). Considering the occurrence of OLNM and the importance of OLNM management, we aimed to develop a nomogram to predict OLNM of patients with lung adenocarcinoma ≤2 cm. Methods: Characteristics of patients with lung adenocarcinoma of ≤2 cm diameter at the Peking Union Medical College Hospital were retrospectively reviewed. Univariate and multivariate logistic regressions were performed. A nomogram model was developed. The concordance index (C-index) and calibration and decision curves were used to evaluate the predictive ability. Results: A total of 473 patients were enrolled, with an OLNM incidence of 7.4%. Four factors were selected as risk factors. The model had a C-index of 0.932. Calibration and decision curves were determined. Conclusion: Patients with pure ground-glass opacity (pGGO) or noninvasive adenocarcinoma have significantly lower risk of OLNM. SUVmax, CEA, micropapillary and solid component were identified as independent risk factors. The nomogram model was effective in predicting OLNM preoperatively.


2016 ◽  
Vol 50 (2) ◽  
pp. 329-336 ◽  
Author(s):  
Jung-Jyh Hung ◽  
Yi-Chen Yeh ◽  
Wen-Juei Jeng ◽  
Yu-Chung Wu ◽  
Teh-Ying Chou ◽  
...  

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