Clinical impact of digital and conventional PET control databases for semi-quantitative analysis of brain 18F-FDG digital PET scans

Abstract Purpose Digital PET cameras markedly improve sensitivity and spatial resolution of brain 18F-FDG PET images compared to conventional cameras. Our study aimed to assess whether specific control databases are required to improve the diagnostic performance of these recent advances. Methods We retrospectively selected two groups of subjects, twenty-seven Alzheimer's Disease (AD) patients and twenty-two healthy control (HC) subjects. All subjects underwent a brain 18F-FDG PET on a digital camera (Vereos, Philips®). These two group (AD and HC) are compared, using a Semi-Quantitative Analysis (SQA), to two age and sex matched controls acquired with a digital PET/CT (Vereos, Philips®) or a conventional PET/CT (Biograph 6, Siemens®) camera, at group and individual levels. Moreover, individual visual interpretation of SPM T-maps was provided for the positive diagnosis of AD by 3 experienced raters. Results At group level, SQA using digital controls detected more marked hypometabolic areas in AD (+ 116 cm3 at p < 0.001 uncorrected for the voxel, corrected for the cluster) than SQA using conventional controls. At the individual level, the accuracy of SQA for discriminating AD using digital controls was higher than SQA using conventional controls (86% vs. 80%, p < 0.01, at p < 0.005 uncorrected for the voxel, corrected for the cluster), with higher sensitivity (89% vs. 78%) and similar specificity (82% vs. 82%). These results were confirmed by visual analysis (accuracies of 84% and 82% for digital and conventional controls respectively, p = 0.01). Conclusion There is an urgent need to establish specific digital PET control databases for SQA of brain 18F-FDG PET images as such databases improve the accuracy of AD diagnosis.

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Clinical impact of digital and conventional PET control databases for semi-quantitative analysis of brain 18F-FDG digital PET scans

10.21203/rs.3.rs-51214/v2 ◽

2020 ◽

Author(s):

Elise Mairal ◽

Matthieu Doyen ◽

Thérèse Rivasseau-Jonveaux ◽

Catherine Malaplate ◽

Eric Guedj ◽

...

Keyword(s):

Quantitative Analysis ◽

Fdg Pet ◽

Visual Analysis ◽

Digital Camera ◽

Visual Interpretation ◽

Individual Level ◽

Pet Ct ◽

Digital Pet ◽

Healthy Control ◽

The Individual

Abstract Purpose: Digital PET cameras markedly improve sensitivity and spatial resolution of brain 18F-FDG PET images compared to conventional cameras. Our study aimed to assess whether specific control databases are required to improve the diagnostic performance of these recent advances.Methods: We retrospectively selected two groups of subjects, twenty-seven Alzheimer's Disease (AD) patients and twenty-two healthy control (HC) subjects. All subjects underwent a brain 18F-FDG PET on a digital camera (Vereos, Philips®). These two group (AD and HC) are compared, using a Semi-Quantitative Analysis (SQA), to two age and sex matched controls acquired with a digital PET/CT (Vereos, Philips®) or a conventional PET/CT (Biograph 6, Siemens®) camera, at group and individual levels. Moreover, individual visual interpretation of SPM T-maps was provided for the positive diagnosis of AD by 3 experienced raters.Results: At group level, SQA using digital controls detected more marked hypometabolic areas in AD (+ 116 cm3 at p<0.001 uncorrected for the voxel, corrected for the cluster) than SQA using conventional controls. At the individual level, the accuracy of SQA for discriminating AD using digital controls was higher than SQA using conventional controls (86 % vs. 80 %, p<0.01, at p<0.005 uncorrected for the voxel, corrected for the cluster), with similar specificity (82 % vs. 82 %) but higher sensitivity (89 % vs. 78 %). These results were confirmed by visual analysis (accuracies of 84 % and 82 % for digital and conventional controls respectively, p=0.01).Conclusion: There is an urgent need to establish specific digital PET control databases for SQA of brain 18F-FDG PET images as such databases improve the accuracy of AD diagnosis.

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Clinical impact of digital and conventional PET control databases for semi-quantitative analysis of brain 18F-FDG digital PET scans

10.21203/rs.3.rs-51214/v3 ◽

2020 ◽

Author(s):

Elise Mairal ◽

Matthieu Doyen ◽

Thérèse Rivasseau-Jonveaux ◽

Catherine Malaplate ◽

Eric Guedj ◽

...

Keyword(s):

Quantitative Analysis ◽

Fdg Pet ◽

Visual Analysis ◽

Digital Camera ◽

Visual Interpretation ◽

Individual Level ◽

Pet Ct ◽

Digital Pet ◽

Healthy Control ◽

The Individual

Abstract Purpose: Digital PET cameras markedly improve sensitivity and spatial resolution of brain 18F-FDG PET images compared to conventional cameras. Our study aimed to assess whether specific control databases are required to improve the diagnostic performance of these recent advances.Methods: We retrospectively selected two groups of subjects, twenty-seven Alzheimer's Disease (AD) patients and twenty-two healthy control (HC) subjects. All subjects underwent a brain 18F-FDG PET on a digital camera (Vereos, Philips®). These two group (AD and HC) are compared, using a Semi-Quantitative Analysis (SQA), to two age and sex matched controls acquired with a digital PET/CT (Vereos, Philips®) or a conventional PET/CT (Biograph 6, Siemens®) camera, at group and individual levels. Moreover, individual visual interpretation of SPM T-maps was provided for the positive diagnosis of AD by 3 experienced raters.Results: At group level, SQA using digital controls detected more marked hypometabolic areas in AD (+ 116 cm3 at p<0.001 uncorrected for the voxel, corrected for the cluster) than SQA using conventional controls. At the individual level, the accuracy of SQA for discriminating AD using digital controls was higher than SQA using conventional controls (86 % vs. 80 %, p<0.01, at p<0.005 uncorrected for the voxel, corrected for the cluster), with higher sensitivity (89 % vs. 78 %) and similar specificity (82 % vs. 82 %). These results were confirmed by visual analysis (accuracies of 84 % and 82 % for digital and conventional controls respectively, p=0.01).Conclusion: There is an urgent need to establish specific digital PET control databases for SQA of brain 18F-FDG PET images as such databases improve the accuracy of AD diagnosis.

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Clinical Impact of Digital and Conventional PET Control Databases for Semi-Quantitative Analysis of Brain 18F-FDG Digital PET Scans

10.21203/rs.3.rs-51214/v1 ◽

2020 ◽

Author(s):

Elise Mairal ◽

Matthieu Doyen ◽

Thérèse Rivasseau-Jonveaux ◽

Catherine Malaplate ◽

Eric Guedj ◽

...

Keyword(s):

Quantitative Analysis ◽

Fdg Pet ◽

Visual Analysis ◽

Digital Camera ◽

Visual Interpretation ◽

Individual Level ◽

Lower Specificity ◽

Digital Pet ◽

The Individual ◽

Pet Scans

Abstract Purpose: Digital PET cameras markedly improve sensitivity and spatial resolution of brain 18F-FDG PET images compared to conventional cameras. Our study aimed to assess whether specific control databases are required to improve the diagnostic performance of these recent advances.Methods: We analysed twenty-seven Alzheimer's Disease (AD) patients and twenty-two healthy subjects. These two groups underwent a brain 18F-FDG PET on a digital camera (Vereos, Philips®) with a Semi-Quantitative Analysis (SQA), i.e. comparisons to two age and sex matched controls acquired with a digital PET (Vereos, Philips®) and a conventional PET (Biograph 6, Siemens®) camera, at group and individual levels. Moreover, individual visual interpretation of SPM T-maps was provided for the positive diagnosis of AD by 3 experienced raters.Results: At group level, SQA using digital controls detected more marked hypometabolic areas in AD (+34 mm3 at p<0.001 uncorrected for the voxel, corrected for the cluster) than SQA using conventional controls. At the individual level, accuracy of SQA using digital controls was higher than SQA using conventional controls (82 vs. 63%, p<0.01, at p<0.005 uncorrected for the voxel, corrected for the cluster), with lower specificity (73 vs. 95%) but much higher sensitivity (89 vs. 37%). These results were confirmed by visual analysis (accuracies of 78% and 65% for digital and conventional controls respectively).Conclusion: There is an urgent need to establish specific digital PET control databases for SQA of brain 18F-FDG PET images as such databases improve the accuracy of AD diagnosis.

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FDG PET/CT in cancer therapy monitoring

Nuklearmedizin ◽

10.3413/nukmed-0314-10-05 ◽

2011 ◽

Vol 50 (02) ◽

pp. 83-92 ◽

Cited By ~ 2

Author(s):

S. Renisch ◽

R. Opfer ◽

T. Derlin ◽

R. Buchert ◽

I. C. Carlsen ◽

...

Keyword(s):

Quantitative Analysis ◽

Cancer Therapy ◽

Fdg Pet ◽

Visual Analysis ◽

Therapy Monitoring ◽

Software Tool ◽

Computer Assisted ◽

Pet Ct ◽

Fdg Pet Ct ◽

Assisted Analysis

SummaryObjectives: We developed and tested a software tool for computer-assisted analysis of FDG-PET/CT in cancer therapy monitoring. The tool provides automatic semi-quantitative analysis of a baseline scan together with up to two follow-up scans (standardized uptake values, glycolytic volume). The tool also supports visual analysis by local spatial registration which allows display of tumor lesions with the same orientation in all scans. The tool’s stability and accuracy was tested at typical everyday image quality. Patients, methods: Ten unselected cancer patients in whom three FDG PET/CT scans had been performed were included. A total of 18 lesions were analyzed. Results: Automatic lesion tracking worked properly in all lesions but one. In this lesion local coregistration had to be adjusted manually tuwhich, however, is easily performed with the tool. Semi-automatic lesion segmentation and fully automatic semi-quantitative analysis worked properly in all cases. Computer-assisted analysis was significantly less time consuming than manual analysis. Conclusions: The novel software tool appears useful for analysis of FDGPET/ CT in cancer therapy monitoring in clinical routine patient care.

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Accuracy of FDG-PET at the individual level in MCI-LB versus MCI-AD: A stepwise approach from visual to semi-quantitative analysis

Journal of the Neurological Sciences ◽

10.1016/j.jns.2021.117830 ◽

2021 ◽

Vol 429 ◽

pp. 117830

Author(s):

Federico Massa ◽

Andrea Chincarini ◽

Matteo Bauckneht ◽

Stefano Raffa ◽

Enrico Peira ◽

...

Keyword(s):

Quantitative Analysis ◽

Fdg Pet ◽

Stepwise Approach ◽

Individual Level ◽

The Individual

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The Additive Value of Semi-Quantitative Analysis of 18F-FDG PET/CT For The Diagnosis of Device Related Infections In Patients With A Left Ventricular Assist Device.

10.21203/rs.3.rs-990449/v1 ◽

2021 ◽

Author(s):

Derk ten Hove ◽

Ali R. Wahadat ◽

Riemer H.J.A. Slart ◽

Marjan Wouthuyzen-Bakker ◽

Gianclaudio Mecozzi ◽

...

Keyword(s):

Quantitative Analysis ◽

Sensitivity And Specificity ◽

Fdg Pet ◽

Visual Analysis ◽

Left Ventricular ◽

Ventricular Assist ◽

Pet Ct ◽

Device Infection ◽

Fdg Pet Ct ◽

Central Device

Abstract Background: Left ventricular assist devices (LVADs) improve quality of life and long-term survival in advanced heart failure, but device related infections (DRI) remain cumbersome. We evaluated the diagnostic capability of FDG-PET/CT and the additive value of semi-quantitative analysis for the diagnosis of DRI. Methods: LVAD recipients undergoing FDG-PET/CT between December 2012 and August 2020 for suspected DRI were retrospectively included. FDG-PET/CT was performed and evaluated according to EANM guidelines and assessors were blinded to the clinical context of included patients. Final clinical diagnosis of driveline infection and/or central device infection, based on multidisciplinary consensus and findings during surgery whenever performed, was used as the reference for the diagnosis. Results: 44 patients were evaluated for 62 episodes of suspected DRI. Clinical evaluation established driveline infection in 33 (54%) episodes, central device infection in 8 (14%) and combined infection in 2 (4%). Visual analysis of FDG-PET/CT achieved a sensitivity and specificity of 0.83 and 0.73, respectively, for driveline infections, while semi-quantitative analysis found comparable results (p=0.77). For central device component infections, visual analysis of FDG-PET/CT achieved a sensitivity and specificity of 1.0 and 0.26, respectively, while semi-quantitative analysis using SUVratio (background liver) achieved a sensitivity and specificity of 1.0 and 0.8, respectively. Both SUVmax and SUVratio outperformed visual analysis (p<0.001). Conclusions: FDG-PET/CT is a valuable tool for the assessment of DRI in LVAD recipients. Semiquantitative analysis significantly increases specificity of FDG-PET/CT for the analysis of central device components and should be considered in equivocal cases after visual analysis.

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The value of 18F-FDG PET/CT for the diagnosis of device related infections in patients with a left ventricular assist device - a dual centre study

European Heart Journal - Cardiovascular Imaging ◽

10.1093/ehjci/jeab111.070 ◽

2021 ◽

Vol 22 (Supplement_3) ◽

Author(s):

D Ten Hove ◽

A Wahadat ◽

RHJA Slart ◽

K Damman ◽

G Mecozzi ◽

...

Keyword(s):

Quantitative Analysis ◽

Sensitivity And Specificity ◽

Fdg Pet ◽

Visual Analysis ◽

Left Ventricular ◽

Ventricular Assist ◽

Pet Ct ◽

Device Infection ◽

Fdg Pet Ct ◽

Central Device

Abstract Funding Acknowledgements Type of funding sources: Private company. Main funding source(s): Partnership UMCG Siemens for building the future of Health (PUSH) Background Left ventricular assist devices (LVADs) are increasingly used for the treatment of end-stage heart failure. LVADs improve quality of life and long-term survival, but device specific infections remain cumbersome. These infections can lead to life threatening complications and are difficult to diagnose with conventional radiological imaging. In this study, FDG-PET/CT accuracy for the diagnosis of LVAD specific infections was evaluated with specific focus on potential confounders and the additive value of semi-quantitative analysis. Materials/methods All LVAD recipients with an available FDG-PET/CT from September 2013 until August 2020 in two LVAD centres in the Netherlands, with a suspicion of driveline and/or central device infection were included. FDG-PET/CT was performed according to European Association of Nuclear Medicine (EANM) guidelines. Potential confounders were documented and assessors were blinded to the clinical context of included patients. Assessment of FDG-PET/CT was performed visually and semi-quantitatively with 6 regions of interest alongside the driveline and central device components. The final clinical diagnosis of either driveline infection or central device infection, based on findings during surgical intervention or multidisciplinary consensus, was used as the reference for diagnosis. Results In total 38 patients (average age 55 years, 84% males) were evaluated for a total of 55 episodes of suspected device-specific infection. Clinical evaluation established driveline infection in 28 cases, central device infection in 7 and combined infection in 4. Visual analysis obtained a sensitivity and specificity of 0.83 and 0.75 respectively, in differentiation between infected and non-infected drivelines. Visual analysis of FDG-PET/CT of central device components showed excellent sensitivity: 1.0, but suffered from poor specificity: 0.23. Semi-quantitative analysis using a SUVmax was comparable to visual analysis for establishing driveline infections, with a sensitivity and specificity of 0.80 and 0.84 respectively, while for central device infections, semi-quantitative analysis using a SUVratio outperformed visual analysis, with a sensitivity and specificity reaching 0.88 and 0.90 respectively. Conclusions FDG-PET/CT is a valuable tool for the assessment of device-specific infections in LVAD recipients. Semi-quantitative analysis can significantly increase diagnostic accuracy of FDG-PET/CT for the analysis of the central device components and should be considered in cases where the diagnosis cannot be rejected based on visual analysis.

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