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 Prognostic value of the baseline 18F-FDG PET/CT metabolic tumour volume (MTV) and further stratification in low-intermediate (L-I) and high-intermediate (H-I) risk NCCNIPI subgroup by MTV in DLBCL MTV predict prognosis in DLBCL

2020 ◽  
Author(s):  
Peng Zhao ◽  
Tao Yu ◽  
Zheng Pan
Keyword(s):  
Risk Stratification ◽  
Fdg Pet ◽  
Prognostic Value ◽  
B Cell Lymphoma ◽  
Risk Groups ◽  
Metabolic Parameters ◽  
Metabolic Tumour Volume ◽  
P Value ◽  
Pet Ct ◽  
Fdg Pet Ct

Abstract Introduction In the era of rituximab, the NCCNIPI is widely used in clinical practice as a tool for the prognosis and risk stratification of diffuse large B-cell lymphoma (DLBCL). In recent years, FDG PET/CT has also shown unique prognostic value. We try to further confirm the prognostic role of metabolic parameters in the overall and subgroups patients. Methods We retrospectively analysed 87 DLBCL patients who underwent baseline FDG PET/CT and followed the R-CHOP or R-CHOP-like strategy. The clinical parameters and PET-related metabolic parameters were evaluated. Results For all patients, the 2-year PFS rate was 65.5% and the 2-year OS rate was 66.7%. According to Cox multivariate analysis, a high NCCNIPI score (4–8 points) and an MTV greater than 64.1 cm3 (defined by ROC) were independent prognostic factors for PFS and OS. The patients were divided into low, low-intermediate, high-intermediate and high-risk groups by NCCNIPI score. The 2-year PFS rates in each group were 90.9%, 71.3%, 33.2% and 16.7%, and the 2-year OS rates were 100%, 81.6%, 48.4% and 16.7%. In the subsequent subgroup analysis by MTV, it could further stratified low-intermediate and high-intermediate NCCNIPI groups, the P value was 0.068 and 0.069 for PFS, 0.078 and 0.036 for OS. Conclusions MTV, as a tumor metabolic volume parameter, and the NCCNIPI score were independent predictors of prognosis in general DLBCL patients. In the low-intermediate and high-intermediate NCCNIPI subgroup, we further confirm the risk stratification abilities of MTV, which could add the prognostic value of NCCNIPI.

scholarly journals Radiomics Analysis of PET and CT Components of 18F-FDG PET/CT Imaging for Prediction of Progression-Free Survival in Advanced High-Grade Serous Ovarian Cancer

2021 ◽  
Vol 11 ◽  
Author(s):  
Xihai Wang ◽  
Zaiming Lu
Keyword(s):  
Clinical Features ◽  
Cox Regression ◽  
Progression Free Survival ◽  
Predictive Performance ◽  
Ct Images ◽  
Metabolic Parameters ◽  
P Value ◽  
Free Survival ◽  
Pet Ct ◽  
Fdg Pet Ct

ObjectiveTo investigate radiomics features extracted from PET and CT components of 18F-FDG PET/CT images integrating clinical factors and metabolic parameters of PET to predict progression-free survival (PFS) in advanced high-grade serous ovarian cancer (HGSOC).MethodsA total of 261 patients were finally enrolled in this study and randomly divided into training (n=182) and validation cohorts (n=79). The data of clinical features and metabolic parameters of PET were reviewed from hospital information system(HIS). All volumes of interest (VOIs) of PET/CT images were semi-automatically segmented with a threshold of 42% of maximal standard uptake value (SUVmax) in PET images. A total of 1700 (850×2) radiomics features were separately extracted from PET and CT components of PET/CT images. Then two radiomics signatures (RSs) were constructed by the least absolute shrinkage and selection operator (LASSO) method. The RSs of PET (PET_RS) and CT components(CT_RS) were separately divided into low and high RS groups according to the optimum cutoff value. The potential associations between RSs with PFS were assessed in training and validation cohorts based on the Log-rank test. Clinical features and metabolic parameters of PET images (PET_MP) with P-value <0.05 in univariate and multivariate Cox regression were combined with PET_RS and CT_RS to develop prediction nomograms (Clinical, Clinical+ PET_MP, Clinical+ PET_RS, Clinical+ CT_RS, Clinical+ PET_MP + PET_RS, Clinical+ PET_MP + CT_RS) by using multivariate Cox regression. The concordance index (C-index), calibration curve, and net reclassification improvement (NRI) was applied to evaluate the predictive performance of nomograms in training and validation cohorts.ResultsIn univariate Cox regression analysis, six clinical features were significantly associated with PFS. Ten PET radiomics features were selected by LASSO to construct PET_RS, and 1 CT radiomics features to construct CT_RS. PET_RS and CT_RS was significantly associated with PFS both in training (P <0.00 for both RSs) and validation cohorts (P=0.01 for both RSs). Because there was no PET_MP significantly associated with PFS in training cohorts. Only three models were constructed by 4 clinical features with P-value <0.05 in multivariate Cox regression and RSs (Clinical, Clinical+ PET_RS, Clinical+ CT_RS). Clinical+ PET_RS model showed higher prognostic performance than other models in training cohort (C-index=0.70, 95% CI 0.68-0.72) and validation cohort (C-index=0.70, 95% CI 0.66-0.74). Calibration curves of each model for prediction of 1-, 3-year PFS indicated Clinical +PET_RS model showed excellent agreements between estimated and the observed 1-, 3-outcomes. Compared to the basic clinical model, Clinical+ PET_MS model resulted in greater improvement in predictive performance in the validation cohort.ConclusionPET_RS can improve diagnostic accuracy and provide complementary prognostic information compared with the use of clinical factors alone or combined with CT_RS. The newly developed radiomics nomogram is an effective tool to predict PFS for patients with advanced HGSOC.

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 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.

scholarly journals Splenic uptake on FDG PET/CT correlates with Kikuchi-Fujimoto disease severity

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hye Seong ◽  
Yong Hyu Jeong ◽  
Woon Ji Lee ◽  
Jun Hyoung Kim ◽  
Jung Ho Kim ◽  
...  
Keyword(s):  
Disease Severity ◽  
Fdg Pet ◽  
Tertiary Care ◽  
Clinical Manifestations ◽  
Standardized Uptake Value ◽  
Total Lesion Glycolysis ◽  
Positron Emission ◽  
Pet Ct ◽  
Systemic Symptoms ◽  
Fdg Pet Ct

AbstractKikuchi-Fujimoto disease (KFD) is usually self-limiting, but prolonged systemic symptoms often result in frequent hospital visits, long admission durations, or missed workdays. We investigated the role of fluorine-18 fluoro-2-deoxy-D-glucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) in assessing KFD severity. We reviewed the records of 31 adult patients with pathologically confirmed KFD who underwent 18F-FDG PET/CT between November 2007 and April 2018 at a tertiary-care referral hospital. Disease severity was assessed using criteria based on clinical manifestations of advanced KFD. Systemic activated lymph nodes and severity of splenic activation were determined using semi-quantitative and volumetric PET/CT parameters. The median of the mean splenic standardized uptake value (SUVmean) was higher in patients with severe KFD than those with mild KFD (2.38 ± 1.18 vs. 1.79 ± 0.99, p = 0.058). Patients with severe KFD had more systemically activated volume and glycolytic activity than those with mild KFD (total lesion glycolysis: 473.5 ± 504.4 vs. 201.6 ± 363.5, p = 0.024). Multivariate logistic regression showed that myalgia (odds ratio [OR] 0.035; 95% confidence interval [CI] 0.001–0.792; p = 0.035), total lymph node SUVmax (cutoff 9.27; OR 24.734; 95% CI 1.323–462.407; p = 0.032), and spleen SUVmean (cutoff 1.79; OR 37.770; 95% CI 1.769–806.583; p = 0.020) were significantly associated with severe KFD. 18F-FDG PET/CT could be useful in assessing KFD severity.

scholarly journals 18F-FDG-PET/CT in radiation therapy-induced parotid gland inflammation

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Alaa Mouminah ◽  
Austin J. Borja ◽  
Emily C. Hancin ◽  
Yu Cheng Chang ◽  
Thomas J. Werner ◽  
...  
Keyword(s):  
Parotid Gland ◽  
Fdg Pet ◽  
Standardized Uptake Value ◽  
Post Treatment ◽  
Parotid Glands ◽  
Positron Emission ◽  
Pet Ct ◽  
Average Maximum ◽  
Pre Treatment ◽  
Fdg Pet Ct

Abstract Background 18F-fluorodeoxyglucose-positron emission tomography/computed tomography (FDG-PET/CT) is used in the clinical management of oncologic and inflammatory pathologies. It may have utility in detecting radiotherapy (RT)-induced damage of oral tissues. Thus, the aim of the present study was to use FDG-PET/CT to evaluate parotid gland inflammation following RT in patients with head and neck cancer (HNC). Methods This retrospective study included patients with HNC treated with photon, proton, or combined photon/proton RT, in addition to chemotherapy. All patients received FDG-PET/CT imaging pre-treatment and 3 months post-treatment. The average mean standardized uptake value (Avg SUVmean) and the average maximum standardized uptake value (Avg SUVmax) of the left and right parotid glands were determined by global assessment of FDG activity using OsiriX MD software. A two-tailed paired t test was used to compare Avg SUVmean and Avg SUVmax pre- and post-RT. Results Forty-seven HNC patients were included in the study. Parotid gland Avg SUVmean was significantly higher at 3 months post-treatment than pre-treatment (p < 0.05) in patients treated with photon RT, but no significant differences were found between pre- and post-treatment Avg SUVmean in patients treated with proton RT or combined photon/proton RT. Conclusion Our results suggest that photon RT may cause radiation-induced inflammation of the parotid gland, and that proton RT, which distributes less off-target radiation, is a safer treatment alternative.

scholarly journals Relationship between FDG-PET/CT and hematological parameters in squamous cell lung cancer without distant metastasis.

2020 ◽  
Vol 7 (6) ◽  
pp. 520-525
Author(s):  
Fadime Demir ◽  
Ahmet Yanarateş
Keyword(s):  
Lung Cancer ◽  
Squamous Cell ◽  
Cell Lung Cancer ◽  
Fdg Pet ◽  
Hematological Parameters ◽  
Metabolic Parameters ◽  
Squamous Cell Lung Cancer ◽  
Pet Ct ◽  
18F Fdg ◽  
Fdg Pet Ct

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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