scholarly journals The Utility of PET/CT Metabolic Parameters Measured Based on Fixed Percentage Threshold of SUVmax and Adaptive Iterative Algorithm in the New Revised FIGO Staging System for Stage III Cervical Cancer

2021 ◽  
Vol 8 ◽  
Author(s):  
Yun Zhang ◽  
Yuxiao Hu ◽  
Shuang Zhao ◽  
Can Cui
Keyword(s):  
Cervical Cancer ◽  
Iterative Algorithm ◽  
Fdg Pet ◽  
Standard Uptake Value ◽  
Total Lesion Glycolysis ◽  
Measurement Methods ◽  
Metabolic Parameters ◽  
Stage Iii ◽  
Pet Ct ◽  
Fdg Pet Ct

Objectives: The main aim of this study was to evaluate the differences in metabolic parameters of positron emission tomography with 2-deoxy-2-[fluorine-18] fluoro-D-glucose integrated with computed tomography (18F-FDG PET/CT) measured based on fixed percentage threshold of maximum standard uptake value (SUVmax) and adaptive iterative algorithm (AT-AIA) in patients with cervical cancer. Metabolic parameters in stage III patients subdivided into five groups according to FIGO and T staging (IIIB-T3B, IIIC1-T2B, IIIC1-T3B, IIIC2-T2B, IIIC2-T3B) were compared.Methods: In total, 142 patients with squamous cell cervical cancer subjected to 18F-FDG-PET/CT before treatment were retrospectively reviewed. SUVmax, mean standard uptake value (SUVmean), maximum glucose homogenization (GNmax), mean glucose homogenization (GNmean), metabolic tumor volume (MTV), total lesion glycolysis (TLG), and glucose homogenization total lesion glycolysis (GNTLG) values measured based on the above two measurement methods of all 142 patients (IIB-IVB) and 102 patients in the above five groups were compared.Results: MTV measured based on fixed percentage threshold of SUVmax was lower than that based on AT-AIA (p < 0.05). MTV40%, MTV0.5, TLG0.5, GNTLG40%, and GNTLG0.5 values were significantly different among the five groups (p < 0.05) while the rest parameters were comparable (p > 0.05). All metabolic parameters of group IIIB-T3B were comparable to those of the other four groups. MTV40%, MTV0.5, GNTLG40%, and GNTLG0.5 in group IIIC1-T2B relative to IIIC1-T3B and those of group IIIC2-T2B relative to group IIIC2-T3B were significantly different. All metabolic parameters of group IIIC1-T2B relative to IIIC2-T2B and those of group IIIC1-T3B relative to group IIIC2-T3B were not significantly different.Conclusion: Metabolic parameters obtained with the two measurement methods showed a number of differences. Selection of appropriate methods for measurement of 18F-FDG-PET/CT metabolic parameters is important to facilitate advances in laboratory research and clinical applications. When stage III patients had the same T stage, their metabolic parameters of local tumor were not significantly different, regardless of the presence or absence of lymph node metastasis, location of metastatic lymph nodes in the pelvic cavity or para-abdominal aorta. These results support the utility of the revised FIGO system for stage III cervical cancer, although our T-staging of stage III disease is incomplete.

Correlation between total lesion glycolysis in 18F-FDG PET/CT and KRAS mutation and clinical features in patients with resectable colon cancer.

2017 ◽  
Vol 35 (4_suppl) ◽  
pp. 555-555
Author(s):  
Ji Hyung Hong ◽  
Jae Ho Byun ◽  
Eun Kyoung Choi ◽  
Jin Kyoung Oh ◽  
Ji-Hun Kim ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Clinical Features ◽  
Fdg Pet ◽  
Kras Mutation ◽  
Total Lesion Glycolysis ◽  
Metabolic Parameters ◽  
P Value ◽  
Pet Ct ◽  
Pre Treatment ◽  
Fdg Pet Ct

555 Background: Recently, novel metabolic parameters in 18F-FDG PET/CT such as total lesion glycolysis (TLG) and metabolic tumor volume (MTV) as well as maximum standardized uptake value (SUVmax) have been reported to be prognostic and be related with genomic aberration. We evaluated the prognostic role of these metabolic parameters and the correlation with clinical features in resected colon cancer. Methods: This study included 212 colon cancer patients who underwent surgical resection of stage II and III disease and conducted pre-treatment 18F-FDG PET/CT between February 2009 and December 2013. TLG, MTV of the primary tumors as well as SUVmax were analyzed according to clinical features including KRAS mutation, pre-treatment carcinoembryonic antigen (CEA) and recurrence free survival (RFS). Results: TLG was significantly higher in patients with right colon cancer than those with left colon cancer ( P = 0.015) and in patients with elevated CEA than those with normal range of CEA ( P = 0.034), while MTV and SUVmax were not correlated with cancer location and CEA level. KRAS mutation analysis using peptide nucleic acid-mediated real-time polymerase chain reaction clamping was conducted in 94 patients and forty-one (43.6%) patients showed KRAS mutation in tumor tissues. TLG was significantly higher in patients with mutated KRAS compared with in those with wild KRAS ( P = 0.021). CEA was significantly higher in patients with mutated KRAS than those with wild KRAS ( P-value = 0.024). CEA and TLG could predict KRAS mutation showing odds ratio 1.07 and 1.02 in the multivariate logistic analysis ( P-value = 0.024, 0.048). There was no difference of RFS between in patients with high TLG and in those with low TLG. Conclusions: Based on the result that TLG had a predictive role for KRAS mutation and was related with tumor location and CEA value, we suggested that TLG might reflect genomic alteration and other clinical features as well as tumor burden. It could be useful for differentiating different population of colon cancer and further study is clinically warranted.

scholarly journals Predicting Model for Tumor Budding Status using Radiomics Features of 18F-PET/CT and in Cervical Cancer

2021 ◽  
Author(s):  
Gun Oh Chong ◽  
Shin-Hyung Park ◽  
Shin Young Jeong ◽  
Su Jeong Kim ◽  
Jee Young Park ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Cancer Patients ◽  
Fdg Pet ◽  
Univariate Analysis ◽  
Metabolic Parameters ◽  
Tumor Budding ◽  
Gray Level ◽  
Predicting Model ◽  
Pet Ct ◽  
Fdg Pet Ct

Abstract ObjectiveThe aim of this study was to compare radiomics feature on 18F-FDG PET/CT and intratumoral heterogeneity according to tumor budding (TB) status and to develop predicting model for TB status using radiomics feature of 18F-FDG PET/CT in patients with cervical cancer.Materials and methodsA total of 76 cervical cancer patients who performed radical hysterectomy and preoperative 18F-FDG PET/CT were included. We assessed the status of intratumoral budding (ITP) and peritumoral budding (PTB) in all available hematoxylin and eosin-stained specimens. Three conventional metabolic parameters and a total of 59 features were extracted and analyzed. Univariate analysis was used to identify significant metabolic parameters and radiomics findings for TB status. Predicting model for TB status was built by the LASSO regularization.ResultsThe univariate analysis lead to the identification of 2 significant metabolic parameters and 12 significant radiomic features according to ITB status. Among these parameters, only compacity was remained in multivariate analysis for ITB status (odds ratio. 5.0047; 95% confidence interval, 1.1636 – 21.5253; p = 0.0305). Five radiomics features (Kurtosis, Compacity, Short-Zone Low Gray-level Emphasis, Coarseness, Low Gray-level Run Emphasis) were selected by the LASSO regularization and the predicting model for ITB status had a mean area under curve of 0.810 in training dataset and 0.794 in validation dataset.ConclusionRadiomics features on 18F-FDG PET/CT was associated with ITB status. The predicting model using radiomics features successfully predicted TB status in cervical cancer. The predicting models for ITB status may contribute to personalized medicine in the management of cervical cancer patients.

scholarly journals The prognostic value of preoperative FDG-PET/CT metabolic parameters in cervical cancer patients

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Vikram Rao Bollineni ◽  
Sigmund Ytre-Hauge ◽  
Ankush Gulati ◽  
Mari K. Halle ◽  
Kathrine Woie ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Cancer Patients ◽  
Fdg Pet ◽  
Prognostic Value ◽  
Metabolic Parameters ◽  
Pet Ct ◽  
Fdg Pet Ct

scholarly journals The Role of the Metabolic Parameters of 18F-FDG PET/CT in Patients With Locally Advanced Cervical Cancer

2021 ◽  
Vol 11 ◽  
Author(s):  
Dunhuang Wang ◽  
Xiaoliang Liu ◽  
Weiping Wang ◽  
Li Huo ◽  
Qingqing Pan ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Fdg Pet ◽  
Locally Advanced ◽  
Standardized Uptake Value ◽  
Metabolic Parameters ◽  
Free Survival ◽  
Pet Ct ◽  
Pre Treatment ◽  
Fdg Pet Ct

PurposeTo evaluate the role of the pre-treatment cervical and lymph node (LN) metabolic parameters of 18F-fluorodeoxyglucose positron emission tomography-computed tomography (18F-FDG PET/CT) for locally advanced cervical cancer (LACC) patients receiving concurrent chemoradiotherapy or radiotherapy.Methodswe reviewed 125 consecutive patients with LACC who underwent pre-treatment 18F-FDG PET/CT examination and concurrent chemoradiotherapy or radiotherapy from February 2010 to December 2015 at our institute. The mean standardized uptake value (SUVmean), maximum standardized uptake value (SUVmax), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) of cervical lesion and lymph node (LN) were recorded. Receiver operator characteristic curve, C-index, Kaplan-Meier method, and Cox proportional hazards models were performed.ResultsThe median follow-up was 62 months (range, 4-114 months). For 125 included patients with cervical cancer, the 5-year overall survival (OS), disease-free survival (DFS), local control (LC) and distant metastasis-free survival (DMFS) rates were 83.6%, 75.1%, 92.3% and 79.9%, respectively. Cervical MTV (c-index 0.59-0.61) and cervical TLG (c-index 0.60-0.62) values calculated with a threshold of 40% SUVmax presented stronger prediction capability than cervical SUVmean (c-index 0.51-0.58) and cervical SUVmax (c-index 0.53-0.57) for OS, DFS, LC, and DMFS. In univariate analysis, cervical TLG ≥ 113.4 had worse DFS and DMFS. Cervical MTV ≥ 18.3 cm3 had worse OS and DMFS. In multivariate analysis, cervical TLG ≥ 113.4 implied worse OS, DFS, and DMFS. In either univariate or multivariate analyses, cervical SUVmean and cervical SUVmax had no statistically significant correlation with OS, DFS, LC and DMFS. For 55 cervical cancer patients with positive LN, LN SUVmax presented strongest prediction capability for OS (c-index = 0.79), DFS (c-index = 0.72), LC (c-index = 0.62), and DMFS (c-index = 0.79). In multivariate analysis, LN SUVmax remained significant biomarker linked to OS, DFS, and DMFS.ConclusionPre-treatment cervical and LN metabolic parameters were associated with survival outcomes in patients with LACC. In our study, we found that pre-treatment cervical TLG and LN SUVmax may be important prognostic biomarkers for OS, DFS, and DMFS. However, further prospective studies with a large number of patients are required to evaluate the value of the metabolic parameters in survival outcomes prediction.

scholarly journals Prediction Model for Tumor Budding Status Using the Radiomic Features of F-18 Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography in Cervical Cancer

Diagnostics ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1517 ◽  
Author(s):  
Gun Oh Chong ◽  
Shin-Hyung Park ◽  
Shin Young Jeong ◽  
Su Jeong Kim ◽  
Nora Jee-Young Park ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Prediction Model ◽  
Fdg Pet ◽  
Univariate Analysis ◽  
Emission Tomography ◽  
Metabolic Parameters ◽  
Positron Emission ◽  
Pet Ct ◽  
18F Fdg ◽  
Fdg Pet Ct

Objective: To compare the radiomic features of F-18 fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) and intratumoral heterogeneity according to tumor budding (TB) status and to develop a prediction model for the TB status using the radiomic feature of 18F-FDG PET/CT in patients with cervical cancer. Materials and Methods: Seventy-six patients with cervical cancer who underwent radical hysterectomy and preoperative 18F-FDG PET/CT were included. We assessed the status of intratumoral budding (ITP) and peritumoral budding (PTB) in all available hematoxylin and eosin-stained specimens. Three conventional metabolic parameters and fifty-nine features were extracted and analyzed. Univariate analysis was used to identify significant metabolic parameters and radiomic findings for TB status. The prediction model for TB status was built using 3 machine learning classifiers (random forest, support vector machine, and neural network). Results: Univariate analysis led to the identification of 2 significant metabolic parameters and 12 significant radiomic features according to intratumoral budding (ITB) status. Among these parameters, following multivariate analysis for the ITB status, only compacity remained significant (odds ratio, 5.0047; 95% confidence interval, 1.1636–21.5253; p = 0.0305). Two conventional metabolic parameters and 25 radiomic features were selected by the Lasso regularization, and the prediction model for the ITB status had a mean area under the curve of 0.762 in the test dataset. Conclusion: Radiomic features of 18F-FDG PET/CT were associated with the ITB status. The prediction model using radiomic features successfully predicted the TB status in patients with cervical cancer. The prediction models for the ITB status may contribute to personalized medicine in the management of patients with cervical cancer.

scholarly journals [18F]FDG-PET/CT metabolic parameters as useful prognostic factors in cervical cancer patients treated with chemo-radiotherapy

2016 ◽  
Vol 11 (1) ◽  
Author(s):  
Fernanda G. Herrera ◽  
Thomas Breuneval ◽  
John O. Prior ◽  
Jean Bourhis ◽  
Mahmut Ozsahin
Keyword(s):  
Cervical Cancer ◽  
Prognostic Factors ◽  
Cancer Patients ◽  
Fdg Pet ◽  
Metabolic Parameters ◽  
Pet Ct ◽  
18F Fdg ◽  
Fdg Pet Ct
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