scholarly journals Diagnostic performance of total-body 18F-FDG PET/CT with fast 2-min acquisition for liver tumours: Comparison with conventional PET/CT

2021 ◽  
Author(s):  
Yan Hu ◽  
Guobing Liu ◽  
Haojun Yu ◽  
Jianying Gu ◽  
Hongcheng Shi
Keyword(s):  
Liver Cancer ◽  
Cancer Patients ◽  
Roc Curve ◽  
Diagnostic Performance ◽  
Curve Analysis ◽  
Roc Curve Analysis ◽  
Liver Tumours ◽  
Pet Ct ◽  
Total Body ◽  
Fdg Pet Ct

Abstract PurposeTo comparatively evaluate the diagnostic performances of total-body 18F-FDG PET/CT with fast 2-min acquisition and conventional PET/CT in liver cancer patients.Methods This study included 156 patients with liver tumours. Seventy-eight patients underwent total-body PET/CT. PET raw data were reconstructed using acquisition durations of 2 min (G2) and 15 min (G15). Another 78 patients with liver lesions (control patients) underwent conventional uMI780 PET/CT (G780). All patients were evaluated based on TNM staging. The maximum tumour standardized uptake value (tumour SUVmax), mean normal liver SUV (SUVmean), and tumour SUVmax-to-liver SUVmean ratio (TLR) were determined for all patients. G15 data were used as the reference in the lesion detectability analysis. The diagnostic performances of PET/CT in terms of visual parameters and of PET in terms of semi-quantitative parameters such as SUVmax and TLR were evaluated. Receiver operating characteristics (ROC) curve analysis of SUVmax and TLR at G2 was performed. Pathologic findings of surgical specimens served as the gold standard for all patients.Results The lesions found in G15 were also noted in G2; three lymph nodes were missed in G2; however, no significant difference was found in the TNM stage among G2, G15, and G780. For benign and malignant lesions, the liver SUVmean in G2 and G15 was higher than that in G780 (all P < 0.05). The tumour SUVmax and TLR in G2 were equivalent to those in G15 and G780 regardless of whether the lesions were benign or malignant. ROC curve analysis (SUVmax cut-off: 4.34, TLR cut-off: 1.34) demonstrated that G2 also had good sensitivity in detecting liver cancer. Conclusion The diagnostic performance of total-body PET/CT in G2 was comparable to that in G15 among liver cancer patients. Further, the diagnostic efficiency of total-body PET/CT imaging with fast 2-min acquisition and conventional PET/CT was similar.

Pretreatment 18F-FDG uptake heterogeneity predicts response to pyrotinib in patients with metastatic HER2-positive breast cancer.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e15026-e15026
Author(s):  
Cc Gong ◽  
Cheng Liu ◽  
Zhonghua Tao ◽  
Jian Zhang ◽  
Leiping Wang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Roc Curve ◽  
Fdg Pet ◽  
Standardized Uptake Value ◽  
Curve Analysis ◽  
Roc Curve Analysis ◽  
Her2 Positive ◽  
Pet Ct ◽  
Fdg Pet Ct ◽  
Positive Breast Cancer

e15026 Background: Heterogeneity of 18F-fluorodeoxyglucose (FDG) uptake is a promising marker for predicting response to treatment. This study aimed to evaluate the ability of pretreatment positron emission tomography/computed tomography (PET/CT) 18F-FDG-based heterogeneity to predict the response to pyrotinib in patients with human epidermal growth factor receptor 2 (HER2)-positive metastatic breast cancer (MBC). Methods: Patients with MBC in the Fudan University Shanghai Cancer Center who underwent whole-body 18F-FDG PET/CT before the initiation of pyrotinib was included. The intertumoral and intratumoral heterogeneity indexes (HI-inter and HI-intra, respectively), maximum standardized uptake value (SUVmax), total lesion glycolysis (TLG), and metabolic tumor volume (MTV) on the baseline PET/CT were assessed. Progression-free survival (PFS) was estimated by the Kaplan-Meier method and compared by log-rank test. Time-dependent receiver operating characteristic (ROC) curve analysis was performed, and the predictive accuracies of all markers were evaluated by plotting the cumulative area under the ROC curve (AUC) over time. Results: A total of 22 patients were included in this study. The median PFS of patients with a high HI-intra (> 1.9) was 6.6 months, whereas that of patients with a low HI-intra was 13.4 months (p = 0.044). The HI-inter was able to discriminate patients as well as the coefficient of variance. Univariate analysis showed that patients with a higher HI-inter tended to have worse PFS (10.6 months vs. 13.4 months, p = 0.067). Higher SUVmax and TLG were also associated with worse PFS. ROC curve analysis confirmed the predictive value of the HI-inter and HI-intra. TLG had the highest accuracy in predicting PFS (AUC = 0.87), followed by HI-inter (AUC = 0.86), SUVmax (AUC = 0.85), HI-intra (AUC = 0.80), mean standardized uptake value (AUC = 0.63), and MTV (AUC = 0.60). Conclusions: Intratumoral and intertumoral heterogeneities in metastatic lesions on pretreatment 18F-FDG PET/CT could predict response to pyrotinib treatment in patients with HER2-positive breast cancer, which could provide information to guide treatment decisions.

scholarly journals The Heterogeneous Metabolic Patterns of Ganglia in 68Ga-PSMA, 11C-choline, and 18F-FDG PET/CT in Prostate Cancer Patients

2021 ◽  
Vol 11 ◽  
Author(s):  
Yiping Shi ◽  
Jian Guo Wu ◽  
Lian Xu ◽  
Yinjie Zhu ◽  
Yining Wang ◽  
...  
Keyword(s):  
Roc Curve ◽  
Fdg Pet ◽  
Curve Analysis ◽  
Roc Curve Analysis ◽  
Fdg Uptake ◽  
Choline Pet ◽  
Psma Pet ◽  
Pet Ct ◽  
Sensitivity Specificity ◽  
Fdg Pet Ct

PurposeStudies have indicated that PSMA-positive ganglia represent a diagnostic pitfall for nuclear medicine physicians. No studies have described choline and FDG uptake in ganglia, which may be a source of misdiagnosis. Herein, we described the percentage and uptake pattern of 68Ga-PSMA, 11C-choline and 18F-FDG PET/CT in ganglia and evaluated the heterogeneous metabolic patterns of ganglia to differentiate from lymph node metastases (LNM).MethodsThirty-nine patients who underwent 11C-choline PET/CT and 120 patients who underwent 68Ga-PSMA PET/CT and 18F-FDG PET/CT were retrospectively analyzed. The prevalence of PSMA-positive, choline-positive and FDG-positive ganglia was determined, the SUVmax of ganglia in different locations were measured, and the configuration was described. The SUVmax cutoff of PSMA-PET, choline-PET and FDG-PET was determined by ROC curve analysis to differentiate ganglia from LNM.Results329 PSMA-positive ganglia were identified in 120 patients, 95 choline-positive ganglia were identified in 39 patients, and 39 FDG-positive ganglia were identified in 34 patients. PSMA-positive uptake was observed in 98.3%, 95.8%, and 80.0% of cervical, coeliac, and sacral ganglia, respectively. Choline-positive uptake was observed in 84.6%, 97.4%, and 61.5% of cervical, coeliac, and sacral ganglia, respectively. FDG-positive uptake was observed in 16.7%, 13.3%, and 2.5% of cervical, coeliac, and sacral ganglia, respectively. Cervical and coeliac ganglia had a higher rate of PSMA-positive uptake than sacral ganglia. Choline uptake was highest in coeliac ganglia followed by cervical and sacral ganglia. PSMA, choline or FDG uptake in LNM was all significantly higher than ganglia. ROC curve analysis revealed that at a 4.1 SUVmax cutoff of PSMA-PET, the sensitivity, specificity and accuracy of LNM identification was 88.4%, 97.9% and 96.2%, respectively. ROC curve analysis revealed that at a 2.35 SUVmax cutoff for choline-PET, the sensitivity, specificity, and accuracy of LNM identification was 95.0%, 92.6% and 93.0%, respectively. ROC curve analysis revealed that at a 2.55 SUVmax cutoff for FDG-PET, the sensitivity, specificity, and accuracy of LNM identification was 77.3%, 87.2%, and 81.9%, respectively. PSMA-, Choline- and FDG-positive ganglia are mainly band-shaped; most LNMs exhibited nodular and teardrop-shaped configuration.Conclusion68Ga-PSMA and 11C-choline uptake in ganglia was common, and FDG-positive ganglia were observed at lower frequency. Using 68Ga-PSMA, 11C-choline and 18F-FDG uptake and anatomic location and configuration, the differentiation of ganglia from adjacent LNM is feasible.

18F-fluorodeoxyglucose Positron Emission Tomography/computed Tomography Comparison of Gastric Lymphoma and Gastric Carcinoma

2021 ◽  
Author(s):  
Qiaoling Xu ◽  
Najing Wu ◽  
Huihui He ◽  
Xiaoqing Du ◽  
Yanjuan Wang ◽  
...  
Keyword(s):  
Gastric Wall ◽  
Gastric Lymphoma ◽  
Curve Analysis ◽  
Emission Tomography ◽  
Roc Curve Analysis ◽  
Positron Emission ◽  
Pet Ct ◽  
Fdg Pet Ct ◽  
Ct Features ◽  
Fluorodeoxyglucose Positron Emission

Abstract ObjectiveThis study aimed to compare the characteristics of 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) in gastric lymphoma (GL) and gastric carcinoma (GC).METHODSPatients with newly diagnosed GL or GC who underwent 18F-FDG PET/CT prior to treatment were included in this study. The PET/CT features of gastric wall lesions, including FDG avidity, pattern, and intensity [maximal standard uptake value (SUVmax)] were reviewed and analyzed. The correlation of SUVmax with gastric clinicopathological variables was investigated by Student’s t test, Mann-Whitney U test, chi-square test, and receiver-operating characteristic (ROC) curve analysis to determine the differential diagnostic value of SUVmax-associated parameters in GL and GC.RESULTSA total of 68 patients with GL and 117 with GC were included in this study. Abnormal gastric FDG accumulation was found in 66 (97.05%) patients with GL and 109 (93.16%) patients with GC. Majority of the GL patients presented with type I and III lesions, whereas GC patients mainly with type II and III lesions. The SUVmax [14.89(6.56，22.12) vs 4.08(5.75，10.24), P<0.001) and SUVmax/THKmax (maximal thickness) [0.72(0.50,1,10) vs 0.39(0.28,0.64), P<0.000] were both higher in patients with GL when compared with GC. The SUVmax was higher in GL patients with DLBCL than in those with MALT (17.51±10.31 vs 4.97±2.92, P =0.0010) and higher in patients with advanced Lugano stage (II1/II2/IV) than in those with stage I (18.27±10.19 vs 9.92±9.22, P = 0.002). In GC patients, the SUVmax was higher in T3+T4 than in T1+T2 [6.79(4.47,12.41) vs 4.09(2.32,6.31), P = 0.000], but there were no significant differences between TNM stage I+II and TNM stage III+IV. The ROC curve analysis suggested a better performance of SUVmax/THKmax in evaluating gastric lesions between GL and GC when compared to SUVmax alone. The sensitivity of SUVmax and SUVmax/THKmax for differential diagnosis of GL and GC were 0.917 and 0.578, respectively. However, the specificity of SUVmax/THKmax for differential diagnosis of GL and GC was higher than that of SUVmax alone (0.894 VS 0.485).CONCLUSIONThe PET/CT features differed between GL and GC, and these can improve the evaluation of PET/CT of gastric wall lesions and help differentiate GL from GC.

scholarly journals Erythrocyte and Reticulocyte Indices on the LH 750 as Potential Markers of Functional Iron Deficiency

Anemia ◽  
2010 ◽  
Vol 2010 ◽  
pp. 1-7 ◽  
Author(s):  
Eloísa Urrechaga ◽  
Luís Borque ◽  
Jesús F. Escanero
Keyword(s):  
Iron Deficiency ◽  
Roc Curve ◽  
Diagnostic Performance ◽  
Iron Status ◽  
Curve Analysis ◽  
Size Factor ◽  
Hemoglobin Content ◽  
Roc Curve Analysis ◽  
Functional Iron Deficiency ◽  
Reticulocyte Hemoglobin Content

Reticulocyte hemoglobin content (CHr) and percentage of hypochromic cells (%Hypo) are restricted to the Siemens analysers. The aims of the study were to investigate the correlation of Red cells size factor (RSf) and low Hemoglobin density (LHD%), reported by Beckman-Coulter analysers, with CHr and %Hypo in the assessment of iron status in the presence of inflammation. 381 samples were run on both LH 750 (Beckman-Coulter) and Advia 2120 (Siemens) analysers. Correlation between parameters were calculated and the diagnostic performance of the new parameters was assessed.Results. Correlation between RSf and CHr, . ROC curve analysis for RSf in the diagnosis of iron restricted erythropoiesis defined as CH pg: AUC 0.983; Cutoff 91.1%; Sensitivity 98.8%; Specificity 89.6% Correlation between LHD% and %Hypo, . ROC curve analysis for LHD% in the diagnosis of iron deficiency defined by %Hypo %: AUC 0.954; Cut off 6.0%; Sensitivity 96.6%; Specificity 83.2%Conclusions. RSf and LHD% could be reliable parameters for the study of iron metabolism status.

scholarly journals Construction on of a Ferroptosis-Related lncRNA-Based Model to Improve the Prognostic Evaluation of Gastric Cancer Patients Based on Bioinformatics

2021 ◽  
Vol 12 ◽  
Author(s):  
Jiahui Pan ◽  
Xinyue Zhang ◽  
Xuedong Fang ◽  
Zhuoyuan Xin
Keyword(s):  
Gastric Cancer ◽  
Cancer Patients ◽  
Roc Curve ◽  
Cox Regression ◽  
Risk Group ◽  
Survival Curve ◽  
Curve Analysis ◽  
Roc Curve Analysis ◽  
Cox Regression Analysis ◽  
Gastric Cancer Patients

BackgroundGastric cancer is one of the most serious gastrointestinal malignancies with bad prognosis. Ferroptosis is an iron-dependent form of programmed cell death, which may affect the prognosis of gastric cancer patients. Long non-coding RNAs (lncRNAs) can affect the prognosis of cancer through regulating the ferroptosis process, which could be potential overall survival (OS) prediction factors for gastric cancer.MethodsFerroptosis-related lncRNA expression profiles and the clinicopathological and OS information were collected from The Cancer Genome Atlas (TCGA) and the FerrDb database. The differentially expressed ferroptosis-related lncRNAs were screened with the DESeq2 method. Through co-expression analysis and functional annotation, we then identified the associations between ferroptosis-related lncRNAs and the OS rates for gastric cancer patients. Using Cox regression analysis with the least absolute shrinkage and selection operator (LASSO) algorithm, we constructed a prognostic model based on 17 ferroptosis-related lncRNAs. We also evaluated the prognostic power of this model using Kaplan–Meier (K-M) survival curve analysis, receiver operating characteristic (ROC) curve analysis, and decision curve analysis (DCA).ResultsA ferroptosis-related “lncRNA–mRNA” co-expression network was constructed. Functional annotation revealed that the FOXO and HIF-1 signaling pathways were dysregulated, which might control the prognosis of gastric cancer patients. Then, a ferroptosis-related gastric cancer prognostic signature model including 17 lncRNAs was constructed. Based on the RiskScore calculated using this model, the patients were divided into a High-Risk group and a low-risk group. The K-M survival curve analysis revealed that the higher the RiskScore, the worse is the obtained prognosis. The ROC curve analysis showed that the area under the ROC curve (AUC) of our model is 0.751, which was better than those of other published models. The multivariate Cox regression analysis results showed that the lncRNA signature is an independent risk factor for the OS rates. Finally, using nomogram and DCA, we also observed a preferable clinical practicality potential for prognosis prediction of gastric cancer patients.ConclusionOur prognostic signature model based on 17 ferroptosis-related lncRNAs may improve the overall survival prediction in gastric cancer.

scholarly journals Evaluation of serum AFP and DCP levels in the diagnosis of early-stage HBV-related HCC under different backgrounds

2020 ◽  
Vol 48 (10) ◽  
pp. 030006052096908
Author(s):  
Ting Song ◽  
Lili Wang ◽  
Ruopei Xin ◽  
Liping Zhang ◽  
Yun Tian
Keyword(s):  
Roc Curve ◽  
Diagnostic Performance ◽  
Operating Characteristic ◽  
Early Stage ◽  
Area Under The Curve ◽  
Curve Analysis ◽  
Roc Curve Analysis ◽  
Chronic Hbv Infection ◽  
B Virus ◽  
Chronic Hbv

Objective This study compared the diagnostic performance of alpha-fetoprotein (AFP) and des-gamma-carboxyprothrombin (DCP) in early-stage hepatitis B virus-related hepatocellular carcinoma (HBV-HCC) under different backgrounds. Methods Patients were enrolled and divided in four groups: chronic HBV infection (CHB), liver cirrhosis (LC), early-stage CHB-HCC, and early-stage LC-HCC. Serum AFP and DCP levels were measured. Receiver-operating characteristic (ROC) curve and area under the curve (AUC) analyses were applied to compare the diagnostic performance of DCP and AFP for HCC. Results In total, 200 patients were enrolled, including 48, 64, 33, and 55 patients with CHB, LC, CHB-HCC, and LC-HCC, respectively. ROC curve analysis revealed that the AUCs of AFP, DCP, and their combination in differentiating early-stage LC-HCC from LC were 0.776, 0.758, and 0.786, respectively. The values of these markers in discriminating early-stage CHB-HCC from CHB were 0.828, 0.731, and 0.862, respectively. Conclusions DCP was inferior to AFP in differentiating early-stage CHB-HCC from CHB. However, AFP and DCP displayed similar performance in distinguishing early-stage LC-HCC and LC.

scholarly journals The diagnostic function of intravoxel incoherent motion for distinguishing between pilocytic astrocytoma and ependymoma

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0247899
Author(s):  
Nguyen Minh Duc
Keyword(s):  
Roc Curve ◽  
Pilocytic Astrocytoma ◽  
Diagnostic Performance ◽  
Exponential Model ◽  
Curve Analysis ◽  
Intravoxel Incoherent Motion ◽  
Contrast Imaging ◽  
Roc Curve Analysis ◽  
D Values ◽  
D Value

Introduction Intravoxel incoherent motion (IVIM) imaging concurrently measures diffusion and perfusion parameters and has potential applications for brain tumor classification. However, the effectiveness of IVIM for the differentiation between pilocytic astrocytoma and ependymoma has not been verified. The aim of this study was to determine the potential diagnostic role of IVIM for the distinction between ependymoma and pilocytic astrocytoma. Methods Between February 2019 and October 2020, 22 children (15 males and 7 females; median age 4 years) with either ependymoma or pilocytic astrocytoma were recruited for this prospective study. IVIM parameters were fitted using 7 b-values (0–1,500 s/mm2), to develop a bi-exponential model. The diffusivity (D), perfusion fraction (f), and pseudo diffusivity (D*) were measured in both tumors and the adjacent normal-appearing parenchyma. These IVIM parameters were compared using the Mann-Whitney U test. Receiver operating characteristic (ROC) curve analysis was employed to assess diagnostic performance. Results The median D values for ependymoma and pilocytic astrocytoma were 0.87 and 1.25 × 10−3 mm2/s (p < 0.05), respectively, whereas the f values were 0.11% and 0.15% (p < 0.05). The ratios of the median D values for ependymoma and pilocytic astrocytoma relative to the median D values for the adjacent, normal-appearing parenchyma were 1.45 and 2.10 (p < 0.05), respectively. ROC curve analysis found that the D value had the best diagnostic performance for the differentiation between pilocytic astrocytoma and ependymoma, with an area under the ROC curve of 1. Conclusion IVIM is a beneficial, effective, non-invasive, and endogenous-contrast imaging technique. The D value derived from IVIM was the most essential factor for differentiating ependymoma from pilocytic astrocytoma.

scholarly journals Ocular Metastasis in Elderly Male Bladder Cancer Patients: Potential Risk Factors

2020 ◽  
Vol 14 (2) ◽  
pp. 155798832090899 ◽  
Author(s):  
Qian-Hui Xu ◽  
Qing Yuan ◽  
Yu-Qing Zhang ◽  
Biao Li ◽  
You-Lan Min ◽  
...  
Keyword(s):  
Risk Factors ◽  
Bladder Cancer ◽  
Logistic Regression ◽  
Cancer Patients ◽  
Roc Curve ◽  
Binary Logistic Regression ◽  
Curve Analysis ◽  
Roc Curve Analysis ◽  
Elderly Male ◽  
Male Patients

Bladder cancer is a common type of tumor among elderly male population; it causes intraocular metastasis (IOM). The study investigated the differences between elderly male bladder cancer patients with and without IOM, and identified risk factors for IOM. In this study, 749 elderly male patients (aged ≥50 years) with bladder cancer were included from November 2003 to December 2016. Differences between the IOM and non-IOM (NIOM) groups were evaluated by chi-square test and Student’s t-test. The binary logistic regression analysis calculates the risk factors. Receiver operating characteristic (ROC) curve analysis was used to assess the diagnostic value of IOM in elderly male patients with bladder cancer. The incidence of IOM in patients with bladder cancer was 1.7%. No significant differences were detected in age and histopathology between the IOM and NIOM groups. According to the study, the IOM group had higher ALP and Cyfra21-1. Binary logistic regression indicated that ALP and Cyfra21-1 were risk factors for IOM in elderly male bladder cancer patients ( p < .05). ROC curve analysis revealed area under the curve values for ALP and Cyfra21-1 of 0.913 and 0.814, using cutoff values of 9.65 and 83.5 U/L, respectively. The sensitivity and specificity values for ALP were 61.5% and 95.8%, respectively, while those for Cyfra21-1 were 84.6% and 73.3%. The investigation indicates that ALP and Cyfra21-1 are risk factors for IOM in elderly male patients with bladder cancer and ALP is more reliable at distinguishing IOM from NIOM in elderly male patients with bladder cancer.

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