scholarly journals Evaluation of SUVlean consistency in FDG and PSMA PET/MR with Dixon-, James-, and Janma-based lean body mass correction

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Jun Zhao ◽  
Qiaoyi Xue ◽  
Xing Chen ◽  
Zhiwen You ◽  
Zhe Wang ◽  
...  

Abstract Purpose To systematically evaluate the consistency of various standardized uptake value (SUV) lean body mass (LBM) normalization methods in a clinical positron emission tomography/magnetic resonance imaging (PET/MR) setting. Methods SUV of brain, liver, prostate, parotid, blood, and muscle were measured in 90 18F-FDG and 28 18F-PSMA PET/MR scans and corrected for LBM using the James, Janma (short for Janmahasatian), and Dixon approaches. The prospective study was performed from December 2018 to August 2020 at Shanghai East Hospital. Forty dual energy X-ray absorptiometry (DXA) measurements of non-fat mass were used as the reference standard. Agreement between different LBM methods was assessed by linear regression and Bland-Altman statistics. SUV’s dependency on BMI was evaluated by means of linear regression and Pearson correlation. Results Compared to DXA, the Dixon approach presented the least bias in LBM/weight% than James and Janma models (bias 0.4±7.3%, − 8.0±9.4%, and − 3.3±8.3% respectively). SUV normalized by body weight (SUVbw) was positively correlated with body mass index (BMI) for both FDG (e.g., liver: r = 0.45, p < 0.001) and PSMA scans (r = 0.20, p = 0.31), while SUV normalized by lean body mass (SUVlean) revealed a decreased dependency on BMI (r = 0.22, 0.08, 0.14, p = 0.04, 0.46, 0.18 for Dixon, James, and Janma models, respectively). The liver SUVbw of obese/overweight patients was significantly larger (p < 0.001) than that of normal patients, whereas the bias was mostly eliminated in SUVlean. One-way ANOVA showed significant difference (p < 0.001) between SUVlean in major organs measured using Dixon method vs James and Janma models. Conclusion Significant systematic variation was found using different approaches to calculate SUVlean. A consistent correction method should be applied for serial PET/MR scans. The Dixon method provides the most accurate measure of LBM, yielding the least bias of all approaches when compared to DXA.

2020 ◽  
Author(s):  
Jun Zhao ◽  
Qiaoyi Xue ◽  
Xing Chen ◽  
Zhiwen You ◽  
Zhe Wang ◽  
...  

Abstract PurposeTo systematically evaluate the consistency of various standardized uptake value (SUV) lean body mass (LBM) normalization methods in a clinical positron emission tomography/magnetic resonance imaging (PET/MR) setting.MethodsSUV of brain, liver, prostate, parotid, blood and muscle were measured in 90 18F-FDG and 28 18F-PSMA PET/MR scans and corrected for LBM using the James, Janma (short for Janmahasatian) and Dixon models. 40 dual energy X-ray absorptiometry (DXA) measurements of non-fat mass were used as the reference standard. Agreement between different methods was assessed by linear regression and Bland-Altman statistics. ResultsLBM fraction measured by DXA, James, Janma and Dixon approaches was 68.19±6.43%, 66.95±6.71%, 76.20±5.41% and 71.56±7.97% respectively. Compared to DXA, the Dixon approach presented the minimal bias when compared to the James and Janma models (bias: 0.76±7.35, -8.01±9.36, -3.33±8.26 respectively). SUV normalized by bodyweight (SUVbw) was positively correlated with Body Mass Index (BMI) in both FDG (liver: r=0.454, p<0.001) and PSMA studies (r=0.197,p=0.31), while SUV normalized by lean body mass (SUVlean) revealed a decreased dependency on BMI (r=0.22,0.08,0.14, p=0.04,0.46,0.18 for Dixon, James and Janma models respectively). Paired T-test showed significant difference between SUVlean of major organs measured using Dixon method vs James and Janma models.ConclusionSignificant systematic variation was found among SUVlean calculated using different approaches. A consistent correction method should be applied in PET/MR serial scans.


2020 ◽  
Vol 133 (4) ◽  
pp. 1010-1019 ◽  
Author(s):  
Hiroaki Takei ◽  
Jun Shinoda ◽  
Soko Ikuta ◽  
Takashi Maruyama ◽  
Yoshihiro Muragaki ◽  
...  

OBJECTIVEPositron emission tomography (PET) is important in the noninvasive diagnostic imaging of gliomas. There are many PET studies on glioma diagnosis based on the 2007 WHO classification; however, there are no studies on glioma diagnosis using the new classification (the 2016 WHO classification). Here, the authors investigated the relationship between uptake of 11C-methionine (MET), 11C-choline (CHO), and 18F-fluorodeoxyglucose (FDG) on PET imaging and isocitrate dehydrogenase (IDH) status (wild-type [IDH-wt] or mutant [IDH-mut]) in astrocytic and oligodendroglial tumors according to the 2016 WHO classification.METHODSIn total, 105 patients with newly diagnosed cerebral gliomas (6 diffuse astrocytomas [DAs] with IDH-wt, 6 DAs with IDH-mut, 7 anaplastic astrocytomas [AAs] with IDH-wt, 24 AAs with IDH-mut, 26 glioblastomas [GBMs] with IDH-wt, 5 GBMs with IDH-mut, 19 oligodendrogliomas [ODs], and 12 anaplastic oligodendrogliomas [AOs]) were included. All OD and AO patients had both IDH-mut and 1p/19q codeletion. The maximum standardized uptake value (SUV) of the tumor/mean SUV of normal cortex (T/N) ratios for MET, CHO, and FDG were calculated, and the mean T/N ratios of DA, AA, and GBM with IDH-wt and IDH-mut were compared. The diagnostic accuracy for distinguishing gliomas with IDH-wt from those with IDH-mut was assessed using receiver operating characteristic (ROC) curve analysis of the mean T/N ratios for the 3 PET tracers.RESULTSThere were significant differences in the mean T/N ratios for all 3 PET tracers between the IDH-wt and IDH-mut groups of all histological classifications (p < 0.001). Among the 27 gliomas with mean T/N ratios higher than the cutoff values for all 3 PET tracers, 23 (85.2%) were classified into the IDH-wt group using ROC analysis. In DA, there were no significant differences in the T/N ratios for MET, CHO, and FDG between the IDH-wt and IDH-mut groups. In AA, the mean T/N ratios of all 3 PET tracers in the IDH-wt group were significantly higher than those in the IDH-mut group (p < 0.01). In GBM, the mean T/N ratio in the IDH-wt group was significantly higher than that in the IDH-mut group for both MET (p = 0.034) and CHO (p = 0.01). However, there was no significant difference in the ratio for FDG.CONCLUSIONSPET imaging using MET, CHO, and FDG was suggested to be informative for preoperatively differentiating gliomas according to the 2016 WHO classification, particularly for differentiating IDH-wt and IDH-mut tumors.


2020 ◽  
pp. 205141582095640
Author(s):  
Malik A Rouf ◽  
Rajesh Taneja ◽  
Venkatesh Kumar

Objective: To analyze 68-Ga prostate-specific membrane antigen (PSMA) uptake pattern of the prostate and its correlation with prostate-specific antigen (PSA), digital rectal examination (DRE), and Gleason’s score in the diagnosis of carcinoma of the prostate (CaP). Methods: This was a retrospective study conducted between June 2015 and August 2017. Patients who had undergone whole body 68-Ga PSMA HBED-CC simultaneous positron emission tomography (PET) or magnetic resonance imaging (MRI) for the diagnosis or staging of CaP were eligible. Patients who presented with persistently raised serum PSA (>4 ng/mL) and normal urine routine and negative culture were included in the study. Results: A total of 74 patients were included in the study. Significant positive correlation was observed between PSMA delayed uptake with the Prostate Imaging Reporting and Data System (PI-RADS) score ( p<0.001, ρ=0.750), PSA level ( p<0.001, ρ=0.414), DRE ( p<0.002, ρ=0.400), and Gleason’s score ( p<0.300, ρ=0.02). There was a significant difference between early and delayed phase of PSMA uptake in malignant prostatic lesions ( p<0.001). Delayed phase of PSMA uptake was able to characterize prostate lesions with an area under curve (AUC) of 0.91. Combined receiver operating characteristic analysis of PI-RADS score derived from multiparametric MRI and differential PSMA uptake to characterize prostatic lesions improved AUC to 0.94. Conclusion: Results demonstrated that the correlation with clinicopathological features (PSA, DRE, and Gleason’s score) could be used in prognostication of prostatic lesion along with PSMA PET/MRI.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Andrei Gafita ◽  
Jeremie Calais ◽  
Charlott Franz ◽  
Isabel Rauscher ◽  
Hui Wang ◽  
...  

Abstract Introduction The aim of this analysis was to investigate whether the standardized uptake value (SUV) normalized by lean body mass (SUL) is a more appropriate quantitative parameter compared to the commonly used SUV normalized by patient’s weight in 68Ga-PSMA11 PET/CT. Material and methods 68Ga-PSMA11 PET/CT scans of 121 patients with prostate cancer from two institutions were evaluated. Liver SUV was measured within a 3-cm volume-of-interest (VOI) in the right hepatic lobe and corrected for lean body mass using the Janmahasatian formula. SUV and SUL repeatability between baseline and follow-up scans of the same patients were assessed. Results SUV was significantly positively correlated with body weight (r = 0.35, p = 0.02). In contrast, SUL was not correlated with body weight (r = 0.23, p = 0.07). No significant differences were found between baseline and follow-up scan (p = 0.52). Conclusion The Janmahasatian formula annuls the positive correlations between SUV and body weight, suggesting that SUL is preferable to SUV for quantitative analyses of 68Ga-PSMA11 PET/CT scans.


2019 ◽  
Vol 29 (2) ◽  
pp. 123-127
Author(s):  
Scott J. Weinreb ◽  
Abigail J. Pianelli ◽  
Sreyans R. Tanga ◽  
Ira A. Parness ◽  
Rajesh U. Shenoy

AbstractObjectivesPrevious cross-sectional studies have demonstrated obesity rates in children with CHD and the general paediatric population. We reviewed longitudinal data to identify factors predisposing to the development of obesity in children, hypothesising that age may be an important risk factor for body mass index growth.Study designRetrospective electronic health records were reviewed in all 5–20-year-old CHD patients seen between 2011 and 2015, and in age-, sex-, and race/ethnicity-matched controls. Subjects were stratified into aged cohorts of 5–10, 11–15, and 15–20. Annualised change in body mass index percentile (BMI%) over this period was compared using paired Student’s t-test. Linear regression analysis was performed with the CHD population.ResultsA total of 223 CHD and 223 matched controls met the inclusion criteria for analysis. Prevalence of combined overweight/obesity did not differ significantly between the CHD cohort (24.6–25.8%) and matched controls (23.3–29.1%). Univariate analysis demonstrated a significant difference of BMI% change in the age cohort of 5–10 (CHD +4.1%/year, control +1.7%/year, p=0.04), in male sex (CHD +1.8%/year, control −0.3%/year, p=0.01), and status-post surgery (CHD 2.03%/year versus control 0.37%, p=0.02). Linear regression analysis within the CHD subgroup demonstrated that age 5–10 years (+4.80%/year, p<0.001) and status-post surgery (+3.11%/year, p=0.013) were associated with increased BMI% growth.ConclusionsPrevalence rates of overweight/obesity did not differ between children with CHD and general paediatric population over a 5-year period. Longitudinal data suggest that CHD patients in the age cohort 5–10 and status-post surgery may be at increased risk of BMI% growth relative to peers with structurally normal hearts.


2011 ◽  
Vol 29 (1) ◽  
pp. 151-159 ◽  
Author(s):  
Ali Fallahi ◽  
Ali Jadidian

The Effect of Hand Dimensions, Hand Shape and Some Anthropometric Characteristics on Handgrip Strength in Male Grip Athletes and Non-AthletesIt has been suggested that athletes with longer fingers and larger hand surfaces enjoy stronger grip power. Therefore, some researchers have examined a number of factors and anthropometric variables that explain this issue. To our knowledge, the data is scarce. Thus, the aim of this study was to investigate the effect of hand dimensions, hand shape and some anthropometric characteristics on handgrip strength in male grip athletes and non-athletes. 80 subjects aged between 19 and 29 participated in this study in two groups including: national and collegian grip athletes (n=40), and non-athletes (n=40). Body height and mass were measured to calculate body mass index. The shape of the dominant hand was drawn on a piece of paper with a thin marker so that finger spans, finger lengths, and perimeters of the hand could be measured. The hand shape was estimated as the ratio of the hand width to hand length. Handgrip strength was measured in the dominant and non-dominant hand using a standard dynamometer. Descriptive statistics were used for each variable and independent t test was used to analyze the differences between the two groups. The Pearson correlation coefficient test was used to evaluate the correlation between studied variables. Also, to predict important variables in handgrip strength, the linear trend was assessed using a linear regression analysis. There was a significant difference between the two groups in absolute handgrip strength (p<0.001) and handgrip/height ratio (p<0.001). The indices of body height, body mass, lean body mass and body fat content (p<0.001) were significantly greater in grip athletes. All hand variables except FS1-4 (p>0.05) were significantly different between the groups (p<0.001). After controlling body mass all hand anthropometric characteristics except thumb length (r=0.240, p=0.135), hand shape (r=-0.029, p=0.858), middle finger length (r=0.305, p=0.056) and forearm circumference (r=0.162, p=0.319) significantly correlated with handgrip strength in grip athletes, but not in non-athletes, except for forearm circumference (r=0.406, p=0.010). The results showed that handgrip strength and some of the hand dimensions may be different in athletes who have handgrip movements with an object or opponent in comparison to non-athletes. Also, there was a significant positive correlation between handgrip strength and most of the hand dimensions in grip athletes. Therefore, these can be used in talent identification in handgrip-related sports and in clinical settings as well.


Diagnostics ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 2065
Author(s):  
Ryogo Minamimoto

Salivary gland tumors are rare neoplasms which vary in terms of origin and malignant potential. 2-[18F]-fluoro-2-deoxy-d-glucose (FDG)-positron emission tomography (PET) has limited ability to differentiate between different types of salivary gland tumors because both Warthin’s tumors and pleomorphic adenomas usually show increased FDG uptake, with no statistically significant difference in standardized uptake value (SUV) compared with malignant salivary gland tumors. Here, we discuss 4′-[methyl-11C]-thiothymidine (4DST) PET, which provides cell proliferation imaging capable of demonstrating intense uptake in parotid carcinoma and Warthin’s tumor, but no uptake in parotid pleomorphic adenoma. This is the first report of the potential of proliferation PET/ computed tomography (CT) imaging for characterizing salivary gland tumors based on the molecular pathogenesis of the tumor.


Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Kenji Suda ◽  
Nobuhiro Tahara ◽  
Akihiro Honda ◽  
Tomohisa Nakamura ◽  
Hironaga Yoshimoto ◽  
...  

Introduction: Kawasaki disease (KD) is well known vasculitis that primarily affects small to middle sized arteries such as coronary arteries and/or peripheral arteries. However, little evidence showed inflammation of large vasculature such as the aorta in patients with KD. Measurements of 18F-fluorodeoxyglucose (FDG) uptake evaluated by positron emission tomography (PET) and X-ray computed tomography (CT) could be useful to identify inflammatory activity of the vessel wall. Hypothesis: We hypothesized that aortic inflammation continues long after KD. Methods: FDG-PET/CT was performed in 19 patients with a history of KD. Of 19 patients, 11 patients still had persistent coronary and/or systemic vascular aneurysms (KD-An) and the remaining 8 revealed regression of arterial aneurysms (KD-Reg). Patients suffered from KD at 2.8 ± 3.2 years old and underwent FDG-PET at 22.2 ± 8.0 years old. FDG-PET was also performed in 5 control with age 14.1 ± 2.6 years old. Vascular inflammation was measured by blood-normalized standardized uptake value, known as a target-to-background ratio (TBR). Also demographic and laboratory data were collected. Results: Aortic FDG uptake was distinctly intense in patients with a history of KD and persistent vascular aneurysms. The Aortic TBR was significantly higher in KD-An (1.50 ± 0.30) than KD-Reg (1.11 ± 0.13, p = 0.004) or controls (1.03 ± 0.25, p=0.003). Although Control was significantly younger and had significantly lower body mass index, there was no significant correlation between these values and TBR. Also there was no significant difference in laboratory data including lipid profiles and glycemic status among 3 groups. Conclusions: Vascular inflammation of the aortic wall continues long after KD with persistent arterial aneurysms.


1984 ◽  
Vol 56 (6) ◽  
pp. 1647-1649 ◽  
Author(s):  
J. E. Schutte ◽  
E. J. Townsend ◽  
J. Hugg ◽  
R. F. Shoup ◽  
R. M. Malina ◽  
...  

Previous studies have reported that Blacks have 10–20% more bone mineral than Whites of the same height. Theoretically, this should mean that the lean body mass of Blacks is denser than that of Whites, such that formulas for calculating lean body mass from density in Whites will overestimate the lean body mass (and thus underestimate fatness) in Blacks. To determine if the lean body mass of Blacks is indeed denser than that of Whites, we measured density, total body water, and anthropometric dimensions in 19 white and 15 black male college students. The black and white cohorts were nearly identical in height, weight, and total body water. Among the Whites there was no significant difference between the observed density and that predicted from anthropometry, nor were there any significant differences between the dimensions of body composition calculated from total body water and from observed density. Among the Blacks, however, the observed density was significantly greater than that predicted from anthropometry, and the lean body mass calculated from observed density was significantly greater than that calculated from total body water. These results are consistent with the hypothesis that the lean body mass of the Blacks is denser than that of the Whites. Separate formulas should therefore be used for converting density to body composition. Based on our data, the correct formula for Blacks is: %fat = 100 X [(4.374/density) - 3.928]. This formula indicates a lean body density of 1.113 g/cm3 in Blacks compared with 1.100 in Whites.


Sign in / Sign up

Export Citation Format

Share Document