scholarly journals Pretreatment 18F-FDG PET/CT Imaging Predicts the KRAS/NRAS/BRAF Gene Mutational Status in Colorectal Cancer

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Peng He ◽  
Yuan Zou ◽  
Jia Qiu ◽  
Tianhong Yang ◽  
Lei Peng ◽  
...  

Objective. To investigate the association between KRAS/NRAS/BRAF mutations and metabolic parameters of pretreatment 18F-FDG PET/CT in colorectal cancer (CRC). Methods. A total of 85 patients with CRC were included in the study. PET/CT was performed in all the patients before surgery. The histopathological examination and analysis of the gene mutational status of the primary tumor were conducted. The associations among clinical features, PET metabolic parameters, and the gene mutational status were investigated. Moreover, receiver operating characteristic (ROC) curves for maximum standard uptake value (SUVmax) of the primary tumor were generated along with analysis of the target tissue to nontarget tissue ratio (T/NT) for predicting the efficacy of KRAS/NRAS/BRAF mutations in CRC. Finally, the corresponding area under the curve, the optimal cutoff value, and the corresponding sensitivity and specificity were obtained. Results. The mutation rate of KRAS/NRAS/BRAF was 54.12% (46/85). In addition, both SUVmax and T/NT were significantly higher in the KRAS/NRAS/BRAF-mutation groups compared to the wild-type group (15.88 ± 6.71 vs. 12.59 ± 5.79, 8.04 ± 3.03 vs. 6.38 ± 2.80; P = 0.012 and 0.004, respectively). Results from the ROC curve also showed that the cutoff values for T/NT and SUVmax were 5.14 and 12.40, respectively, while the predictive accuracy was 0.682 and 0.647, respectively. On the other hand, the sensitivity was 91.30% and 65.22% while the specificity was 43.59% and 64.10%, respectively. Moreover, univariate analysis showed that the KRAS/NRAS/BRAF mutation was not significantly associated with gender, age, lesion location, tumor length, pathological type, tissue differentiation, and UICC staging (all P > 0.05 ). Conclusion. T/NT ratio and SUVmax could be the potential surrogate imaging indicators to predict the KRAS/NRAS/BRAF mutational status in CRC patients.

2020 ◽  
Vol 11 (10) ◽  
pp. 2864-2873 ◽  
Author(s):  
Hao Jiang ◽  
Rongjun Zhang ◽  
Huijie Jiang ◽  
Mingyu Zhang ◽  
Wei Guo ◽  
...  

Neoplasma ◽  
2021 ◽  
Author(s):  
Ziyi Yang ◽  
Shuai Liu ◽  
Yuyun Sun ◽  
Junyan Xu ◽  
Jinjin Jiang ◽  
...  

2021 ◽  
Vol 12 (19) ◽  
pp. 5838-5847
Author(s):  
Jian-Wei Yang ◽  
Ling-Ling Yuan ◽  
Yan Gao ◽  
Xu-Sheng Liu ◽  
Yu-Jiao Wang ◽  
...  

2020 ◽  
Author(s):  
Ziyi Yang ◽  
Shuai Liu ◽  
Yuyun Sun ◽  
Junyan Xu ◽  
Jinjin Jiang ◽  
...  

Abstract Purpose: The relationship between 18F-FDG uptake and HER2 expression in colorectal cancer has not been investigated yet. This study aimed to investigate the predictive efficiency of preoperative 18F-FDG PET/CT for HER2 expression and prognosis in colorectal cancer.Results: Over all 131 colorectal cancer patients, there were 27 (20.6%) patients were HER2 positive. SUVmax of primary tumor (Mean ± SD) in HER2-positive and HER2-negative group was 18.238 ± 8.912 and 14.455 ± 6.531, respectively. SUVmax in HER2-positive group were higher than in negative group (p = 0.034). When the cutoff was based on 5cm, tumor size demonstrated significant positive correlations with SUVmax (p = 0.012) and HER2 expression (p = 0.014). Multivariate analysis showed that both SUVmax and tumor size had significant correlation with HER2 expression (p = 0.049 vs p = 0.043, respectively). In addition, statistical analysis showed that patients with higher SUVmax had better PFS (p = 0.029). There was no statistical difference of PFS between HER2-positive and HER2-negative group (p = 0.28).Conclusion: 18F-FDG metabolic parameters had significant correlation with HER2 expression in colorectal cancer. SUVmax combined with primary tumor size were better for predicting the HER2 status of colorectal cancer.


2016 ◽  
Vol 41 (4) ◽  
pp. e181-e186 ◽  
Author(s):  
Suzana Cipriano Teixeira ◽  
Bas B. Koolen ◽  
Wouter V. Vogel ◽  
Jelle Wesseling ◽  
Marcel P. M. Stokkel ◽  
...  

2020 ◽  
Vol 7 (6) ◽  
pp. 520-525
Author(s):  
Fadime Demir ◽  
Ahmet Yanarateş

Objective: This study aimed to investigate the relationship between 18Fluorine-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) parameters and hematological parameters in squamous cell lung cancer without distant metastasis and to investigate the prognostic value of these parameters. Patients and Methods: This study included 155 patients who underwent 18F-FDG PET/CT imaging for squamous cell lung cancer. Metabolic and hematological parameters were analyzed. Metabolic parameters included maximum and mean standardized uptake values (SUVmax and SUVmean), metabolic tumor volume (MTV), total lesional glycolysis (TLG), and maximum tumor-to-blood SUV ratio (SURmax). Hematological parameters included neutrophil, lymphocyte, platelet, neutrophil/lymphocyte count ratio (NLR), and platelet/lymphocyte count ratio (PLR) Results: Overall survival was significantly shorter in patients with TLG > 194, NLR > 3.3, and PLR > 157.2 (p < 0.001, p = 0.001, and p = 0.001, respectively). There was a poor correlation between TLG and NLR (p < 0.001, r = 0.302), TLG and PLR (p < 0.001, r = 0.304). TLG (> 194; hazard ratio 1.704, 95% CI 1.056–2.751, p = 0.027) and Tumor-Node-Metastasis (TNM)-based staging (stage II; hazard ratio 1.965, 95% CI 0.739–5.227, p = 0.019) were independent prognostic factors for overall survival. Conclusion: While PET/CT metabolic parameters had both predictive and independent prognostic values in squamous cell lung cancers, PLR and NLR had only predictive values. It shows that PET/CT metabolic parameters related to the course of the disease are more valuable than hematological parameters in squamous cell lung cancer.


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