PS02.068: CORRELATION BETWEEN 18F-FDG PET/CT METABOLIC PARAMETERS AND LYMPH NODE METASTASIS OF ESOPHAGEAL CANCER

2018 ◽  
Vol 31 (Supplement_1) ◽  
pp. 139-140
Author(s):  
Jiancheng Li ◽  
Shaoxing Chen ◽  
Haishan Wu ◽  
Zhiyu Huan
Keyword(s):  
Esophageal Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Roc Curve ◽  
Diagnostic Value ◽  
Primary Lesion ◽  
Metabolic Parameters ◽  
Regional Lymph Nodes ◽  
Node Metastasis ◽  
Pet Ct

Abstract Background The regional lymph nodes metastasis plays a crucial role in treatment strategies selection. Nowadays, computed tomography (CT) scan and endoscopic ultrasound (EUS) were main examination techniques to assess the regional lymph nodes metastasis. PET/CT metabolic parameters correlated to the lymph node metastasis, but the value of the prediction of lymph node metastasis need to be confirmed in additional studies. Methods 82 esophageal cancer patients that were pathologically confirmed and received initial treatment in our hospital from October 2011 to September 2016 were retrospectively analyzed. All patients underwent systemic 18F-FDG PET/CT examination within two weeks before operation. The metabolic parameters of primary lesions and postoperative pathological lymph node metastasis of esophageal cancer patients were recorded. The correlation between lymph node metastasis and metabolic parameters of primary lesion of esophageal cancer were analyzed by ROC curve and logistic binary regression. Results 1. The correlation between metabolic parameters of primary lesion (including SUVmax, SUVmean, MTV, TLG, HF) and lymph node metastasis were analyzed by ROC curve and logistic binary regression. Results showed that the P value obtained from the two methods was less than 0.05, suggesting that there was correlation between metabolic parameters of primary lesion and lymph node metastasis of esophageal cancer. 2. Multivariate analysis showed that only TLG had statistical significance, P = 0.027, suggesting that TLG of primary lesion had a certain diagnostic value for the lymph node metastasis of esophageal cancer. 3. ROC curve analysis showed that, the area under the curve (AUC) was 0.722 when TLG > 24.08, P = 0.001, suggesting that the minimum TLG of lymph node metastasis of esophageal cancer was 24.08. In addition, the thoracic esophageal cancers at the upper and middle segment were statistically significant. When TLG > 23.06, its AUC was 0.755, P = 0.001, suggesting that the minimum TLG was 23.06. Conclusion 18FDG-PET/CT metabolic parameters (SUVmax, SUVmean, MTV, TLG, HF) is closely related to lymph node metastasis of esophageal cancer. The TLG has a certain diagnostic value for the lymph node metastasis of esophageal cancer. Disclosure All authors have declared no conflicts of interest.

scholarly journals Erratum to: Advantages of FDG-PET/CT over CT alone in the preoperative assessment of lymph node metastasis in patients with esophageal cancer

Surgery Today ◽  
2015 ◽  
Vol 45 (4) ◽  
pp. 478-478
Author(s):  
Ryuichi Karashima ◽  
Masayuki Watanabe ◽  
Yu Imamura ◽  
Satoshi Ida ◽  
Yoshifumi Baba ◽  
...  
Keyword(s):  
Esophageal Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Fdg Pet ◽  
Preoperative Assessment ◽  
Node Metastasis ◽  
Pet Ct ◽  
Fdg Pet Ct

scholarly journals Combination of FDG PET/CT and Contrast-Enhanced MSCT in Detecting Lymph Node Metastasis of Esophageal Cancer

2014 ◽  
Vol 15 (18) ◽  
pp. 7719-7724 ◽  
Author(s):  
Ru Tan ◽  
Shu-Zhan Yao ◽  
Zhao-Qin Huang ◽  
Jun Li ◽  
Xin Li ◽  
...  
Keyword(s):  
Esophageal Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Fdg Pet ◽  
Node Metastasis ◽  
Contrast Enhanced ◽  
Pet Ct ◽  
Fdg Pet Ct

PS02.067: PREDICTIVE VALUE OF 18F-FDG PET-CT METABOLIC PARAMETERS PRIOR TO TREATMENT ON SHORT-TERM CURATIVE EFFECTS OF ESOPHAGEAL CANCER

2018 ◽  
Vol 31 (Supplement_1) ◽  
pp. 139-139
Author(s):  
Jiancheng Li ◽  
Weijie Sun
Keyword(s):  
Esophageal Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Clinical Stage ◽  
Cancer Site ◽  
Lesion Length ◽  
Depth Of Invasion ◽  
Short Term ◽  
Node Metastasis ◽  
Pet Ct

Abstract Background To investigate predictive value of pre-treatment maximal standardized uptake value (SUVmax) and metabolic tumor volume (MTV) on short-term curative effects in esophageal cancer patients. Methods Retrospective analysis was made for 98 cases of patients with esophageal cancer treated by radiotherapy or radiotherapy combined with chemotherapy in Fujian Cancer Hospital. Before treatment, 18F-FDG PET-CT scan was performed. PET/CT images prior to treatment were read by two doctors with a high-level professional title using double-blind method. SUVmax and MTV were determined and averaged. 1–3 months after treatment, an experienced deputy director of PET/CT center and a radiotherapist evaluated the curative effect of all patients according to the Response Evaluation Criteria in Solid Tumor (RECIST). Results There were no significant differences of SUVmax and MTV between two groups in age, gender, cancer site, and differential extent (P > 0.05). Factors related to SUVmax were lesion length, depth of invasion, lymph node metastasis and clinical stage, while differences were statistically significant (P < 0.05). SUVmax & MTV were positively correlated with lesion length, depth of invasion, lymph node metastasis and clinical stage. The effective rate was 67.3% (66/98). SUVmax (r = -0.283, P = 0.049) and MTV(r = -0.379, P = 0.007) were negatively correlated with short-term curative effects, but the curative effect of MTV was higher than that of SUVmax. Conclusion There were no significant effects of clinical factors e.g. age, gender, esophageal cancer site, and differential extent on SUVmax and MTV, but length of lesion, depth of invasion, lymph node metastasis and clinical stage had significant effect on SUVmax and MTV. SUVmax and MTV prior to treatment can predict short-term curative effects of radiotherapy or radiotherapy combined with chemotherapy for esophageal cancer patients, but MTV is more predictive than SUVmax. Disclosure All authors have declared no conflicts of interest.

Diagnostic Value of FDG-PET/CT for Lymph Node Metastasis of Colorectal Cancer

2012 ◽  
Vol 36 (8) ◽  
pp. 1898-1905 ◽  
Author(s):  
Jae Young Kwak ◽  
Jae Seung Kim ◽  
Hye Jin Kim ◽  
Hyun Kwon Ha ◽  
Chang Sik Yu ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Fdg Pet ◽  
Diagnostic Value ◽  
Node Metastasis ◽  
Pet Ct ◽  
Fdg Pet Ct

Advantages of FDG-PET/CT over CT alone in the preoperative assessment of lymph node metastasis in patients with esophageal cancer

Surgery Today ◽  
2014 ◽  
Vol 45 (4) ◽  
pp. 471-477 ◽  
Author(s):  
Ryuichi Karashima ◽  
Masayuki Watanabe ◽  
Yu Imamura ◽  
Satoshi Ida ◽  
Yoshifumi Baba ◽  
...  
Keyword(s):  
Esophageal Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Fdg Pet ◽  
Preoperative Assessment ◽  
Node Metastasis ◽  
Pet Ct ◽  
Fdg Pet Ct

PS02.073: THE APPLICATION OF ARTIFICIAL INTELLIGENCE IN ESOPHAGEAL CANCER SCREENING AND PREDICTION OF LYMPH NODE METASTASIS

2018 ◽  
Vol 31 (Supplement_1) ◽  
pp. 141-141
Author(s):  
Zhang Yu
Keyword(s):  
Artificial Intelligence ◽  
Esophageal Cancer ◽  
Lymph Node ◽  
Cancer Screening ◽  
Lymph Node Metastasis ◽  
Learning Process ◽  
Early Cancer ◽  
Cancer Staging ◽  
Node Metastasis ◽  
Pet Ct

Abstract Background Artificial intelligence become the latest hot spot in medical applications, especially in diagnostics and radiology and pathology in do a preliminary exploration, prediction of esophageal cancer screening and early esophageal cancer staging has a revolutionary significance. Methods Several large esophageal cancer treatment center of esophageal pathology as a result, the imaging results (including CT, PET, CT, ultrasound, EUS, etc.), gastroscopy, follow-up medical records and other data import to the artificial intelligence software, through artificial intelligence under the big data automatically after the learning process, susceptible to test results and the clinic has confirmed into the software, after analysis results with the postoperative pathology, endoscopy results, PET—CT results such as comparison, analysis of accuracy and sensitivity. Results Through automatic learning of artificial intelligence, early cancer screening was performed for susceptible people, and the patients who had been diagnosed had esophageal cancer staging and lymph node metastasis. Artificial intelligence will continuously improve the accuracy and sensitivity of the diagnosis in the learning process, and it is revolutionary. Conclusion In the past, the early cancer screening and staging of esophageal cancer was found, and the search for lymph node metastasis was not based on a large number of data, high sensitivity and small trauma. Through artificial intelligence, we can solve many diagnostics problems and establish a large database of esophageal cancer, which will bring great significance to the diagnosis and research of esophageal cancer. Disclosure All authors have declared no conflicts of interest.

The Clinical Value of 68Ga-FAPI-04 PET/CT on Detection of Lymph Node Metastasis and Staging for Esophageal Carcinoma

2021 ◽  
Author(s):  
Xiao Yang ◽  
Zhouxiang You ◽  
Lin Liu ◽  
Lei Lei ◽  
Chungru Mou ◽  
...  
Keyword(s):  
Esophageal Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Positive Predictive Value ◽  
Lymph Nodes ◽  
Predictive Value ◽  
Node Metastasis ◽  
Pet Ct ◽  
Enhanced Ct ◽  
Sensitivity Specificity

Abstract Purpose To observe the clinical application value of 68Ga-FAPI-04 PET/CT in the preoperative detection of lymph node metastasis and staging of esophageal cancer.Methods A prospective analysis of 29 surgical patients was performed. 68Ga-FAPI-04 PET/CT was performed within 1 week before the operation. All patients received enhanced CT during the same period. None of these patients had received preoperative treatment before the operation. The value of 68Ga-FAPI-04 PET/CT and enhanced CT in the diagnosis of lymph node metastasis and preoperative staging of esophageal cancer was compared according to postoperative pathology.Results Both 68Ga-FAPI-04 PET/CT and CT detected the primary tumor (29/29 cases). 637 lymph nodes were surgically removed, of which 37 lymph nodes were metastasized. The sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of PET/CT for lymph node metastasis detection were 71.1%, 99.4%, 97.8%, 90.0%, and 98.2%; The sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of CT for lymph node metastasis detection were 36.8%, 98.9%, 95.3%, 70.0%, and 96.1%, respectively.Conclusion 68Ga-FAPI-04 PET/CT is better than enhanced CT in diagnosing lymph node metastasis and determining lymph node staging in esophageal cancer.

Sign in / Sign up

Export Citation Format

Share Document