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Habib Zaidi - One of the best experts on this subject based on the ideXlab platform.
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Correction for Partial Volume Effect Is a Must, Not a Luxury, to Fully Exploit the Potential of Quantitative PET Imaging in Clinical Oncology
Molecular Imaging and Biology, 2018Co-Authors: Abass Alavi, Thomas J. Werner, Poul Flemming Høilund-carlsen, Habib ZaidiAbstract:The Partial Volume Effect (PVE) is considered as one of the major degrading factors impacting image quality and hampering the accuracy of quantitative PET imaging in clinical oncology. This Effect is the consequence of the limited spatial resolution of whole-body PET scanners, which results in blurring of the generated images by the scanner’s response function. A number of strategies have been devised to deal with Partial Volume Effect. However, the lack of consensus on the clinical relevance of Partial Volume correction and the most appropriate technique to be used in the context of clinical oncology limited their application in clinical setting. This issue is debated in this commentary.
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Clinical Relevance of Partial-Volume Effect: Dependence on Lesion size and Shape
2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS MIC), 2017Co-Authors: Tram Nguyen, Habib Zaidi, Poul Flemming Høilund-carlsen, Werner VachAbstract:This study sought to systematically assess the influence of Partial-Volume Effect (PVE) and segmentation on PET quantitative measures, hinging on lesion geometry. How this affects, e.g., prevalent maximum standardised uptake values, SUVmax, and potentially impact clinical applications, e.g., response evaluation has yet to be fully discerned. From PET simulations with open-source software of variable-sized ellipsoidal lesions inserted in an anthropomorphic phantom, images of two contrasts and resolutions were generated. SUVmax and Volumetric indices extracted with six different segmentations were compared for variability and test-retest repeatability. The study showed similar or larger shape dependent variability and lower repeatability in SUVmax than SUVmean. Alternative Volumetric indices might provide more robust measures but require better contouring than common thresholding. Thus findings suggested significant impact of PVE and segmentation in clinically relevant lesion sizes that can bias interpretation of SUV changes.
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quantifying 18f fluorodeoxyglucose uptake in the arterial wall the Effects of dual time point imaging and Partial Volume Effect correction
European Journal of Nuclear Medicine and Molecular Imaging, 2015Co-Authors: Ali Salavati, Sina Houshmand, Habib Zaidi, Bjorn A Blomberg, Arjun M Bashyam, Abhinay Ramachandran, Saeid Gholami, T WernerAbstract:Purpose The human arterial wall is smaller than the spatial resolution of current positron emission tomographs. Therefore, Partial Volume Effects should be considered when quantifying arterial wall 18F-FDG uptake. We evaluated the impact of a novel method for Partial Volume Effect (PVE) correction with contrast-enhanced CT (CECT) assistance on quantification of arterial wall 18F-FDG uptake at different imaging time-points.
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application of Partial Volume Effect correction and 4d pet in the quantification of fdg avid lung lesions
Molecular Imaging and Biology, 2015Co-Authors: Ali Salavati, Samuel Borofsky, Teo K Boonkeng, Sina Houshmand, Benjapa Khiewvan, Babak Saboury, Ion Codreanu, Drew A Torigian, Habib ZaidiAbstract:Purpose: The aim of this study is to assess a software-based method with semiautomated correction for Partial Volume Effect (PVE) to quantify the metabolic activity of pulmonary malignancies in patients who underwent non-gated and respiratory-gated 2-deoxy-2-[ 18 F]fluoroD-glucose (FDG)-positron emission tomography (PET)/x-ray computed tomography(CT). Procedures: The study included 106 lesions of 55 lung cancer patients who underwent respiratory-gated FDG-PET/CT for radiation therapy treatment planning. Volumetric PET/CT parameters were determined by using 4D PET/CT and non-gated PET/CT images. We used a semiautomated program employing an adaptive contrast-oriented thresholding algorithm for lesion delineation as well as a lesion-based Partial Volume Effect correction algorithm. We compared respiratory-gated parameters with non-gated parameters by using pairwise comparison and interclass correlation coefficient assessment. In a multivariable regression analysis, we also examined factors, which can affect quantification accuracy, including the size of lesion and the location of tumor. Results: This study showed that quantification of Volumetric parameters of 4D PET/CT images using an adaptive contrast-oriented thresholding algorithm and 3D lesion-based Partial Volume correction is feasible. We observed slight increase in FDG uptake by using PET/CT Volumetric parameters in comparison of highest respiratory-gated values with non-gated values. After correction for Partial Volume Effect, the mean standardized uptake value (SUVmean) and total lesion glycolysis (TLG) increased substantially (p value G0.001). However, we did not observe a clinically significant difference between Partial Volume corrected parameters of respiratory-gated and non-gated PET/CT scans. Regression analysis showed that tumor Volume was the main predictor of quantification inaccuracy caused by Partial Volume Effect.
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application of Partial Volume Effect correction and 4d pet in the quantification of fdg avid lung lesions
Molecular Imaging and Biology, 2015Co-Authors: Ali Salavati, Samuel Borofsky, Teo K Boonkeng, Sina Houshmand, Benjapa Khiewvan, Babak Saboury, Ion Codreanu, Drew A Torigian, Habib ZaidiAbstract:Purpose The aim of this study is to assess a software-based method with semiautomated correction for Partial Volume Effect (PVE) to quantify the metabolic activity of pulmonary malignancies in patients who underwent non-gated and respiratory-gated 2-deoxy-2-[18F]fluoro-d-glucose (FDG)-positron emission tomography (PET)/x-ray computed tomography(CT).
Matthias L Schroeter - One of the best experts on this subject based on the ideXlab platform.
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Partial Volume Effect correction improves quantitative analysis of 18f florbetaben β amyloid pet scans
The Journal of Nuclear Medicine, 2016Co-Authors: Michael Rullmann, Marianne Patt, Julia Luthardt, Karltitus Hoffmann, Juergen Dukart, Matthias L Schroeter, Solveig Tiepolt, Hermann-josef Gertz, John SeibylAbstract:UNLABELLED: Neocortical atrophy reduces PET signal intensity, potentially affecting the diagnostic efficacy of β-amyloid (Aβ) brain PET imaging. This study investigated whether Partial-Volume Effect correction (PVEC), adjusting for this atrophy bias, improves the accuracy of (18)F-florbetaben Aβ PET. METHODS: We analyzed (18)F-florbetaben PET and MRI data obtained from 3 cohorts. The first was 10 patients with probable Alzheimer disease (AD) and 10 age-matched healthy controls (HCs), the second was 31 subjects who underwent in vivo imaging and postmortem histopathology for Aβ plaques, and the third was 5 subjects who underwent PET and MRI at baseline and 1 y later. The imaging data were coregistered and segmented. PVEC was performed using the voxel-based modified Muller-Gartner method (PVELab, SPM8). From the PET data, regional and composite SUV ratios (SUVRs) with and without PVEC were obtained. In the MRI data, mesial temporal lobe atrophy was determined by the Scheltens mesial temporal atrophy scale and gray matter Volumes by voxel-based morphometry. RESULTS: In cohort 1, PVEC increased the Effect on AD-versus-HC discrimination from a Cohen d value of 1.68 to 2.0 for composite SUVRs and from 0.04 to 1.04 for mesial temporal cortex SUVRs. The PVEC-related increase in mesial temporal cortex SUVR correlated with the Scheltens score (r = 0.84, P < 0.001), and that of composite SUVR correlated with the composite gray matter Volume (r = -0.75, P < 0.001). In cohort 2, PVEC increased the correlation coefficient between mesial temporal cortex SUVR and histopathology score for Aβ plaque load from 0.28 (P = 0.09) to 0.37 (P = 0.03). In cohort 3, PVEC did not affect the composite SUVR dynamics over time for the Aβ-negative subject. This finding was in contrast to the 4 Aβ-positive subjects, in 2 of whom PVEC changed the composite SUVR dynamics. CONCLUSION: The influence of PVEC on (18)F-florbetaben PET data is associated with the degree of brain atrophy. Thus, PVEC increases the ability of (18)F-florbetaben PET to discriminate between AD patients and HCs, to detect Aβ plaques in the atrophic mesial temporal cortex, and potentially to evaluate changes in brain Aβ load over time. As such, the use of PVEC should be considered for quantitative (18)F-florbetaben PET scans, especially in assessing patients with brain atrophy.
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Partial Volume Effect correction improves quantitative analysis of 18f florbetaben β amyloid pet scans
The Journal of Nuclear Medicine, 2016Co-Authors: Michael Rullmann, Marianne Patt, Julia Luthardt, Karltitus Hoffmann, Juergen Dukart, Matthias L Schroeter, Solveig Tiepolt, Hermann-josef GertzAbstract:Neocortical atrophy reduces PET signal intensity, potentially affecting the diagnostic efficacy of β-amyloid (Aβ) brain PET imaging. This study investigated whether Partial-Volume Effect correction (PVEC), adjusting for this atrophy bias, improves the accuracy of 18F-florbetaben Aβ PET. Methods: We analyzed 18F-florbetaben PET and MRI data obtained from 3 cohorts. The first was 10 patients with probable Alzheimer disease (AD) and 10 age-matched healthy controls (HCs), the second was 31 subjects who underwent in vivo imaging and postmortem histopathology for Aβ plaques, and the third was 5 subjects who underwent PET and MRI at baseline and 1 y later. The imaging data were coregistered and segmented. PVEC was performed using the voxel-based modified Muller-Gartner method (PVELab, SPM8). From the PET data, regional and composite SUV ratios (SUVRs) with and without PVEC were obtained. In the MRI data, mesial temporal lobe atrophy was determined by the Scheltens mesial temporal atrophy scale and gray matter Volumes by voxel-based morphometry. Results: In cohort 1, PVEC increased the Effect on AD-versus-HC discrimination from a Cohen d value of 1.68 to 2.0 for composite SUVRs and from 0.04 to 1.04 for mesial temporal cortex SUVRs. The PVEC-related increase in mesial temporal cortex SUVR correlated with the Scheltens score (r = 0.84, P
Juergen Dukart - One of the best experts on this subject based on the ideXlab platform.
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Partial Volume Effect correction improves quantitative analysis of 18f florbetaben β amyloid pet scans
The Journal of Nuclear Medicine, 2016Co-Authors: Michael Rullmann, Marianne Patt, Julia Luthardt, Karltitus Hoffmann, Juergen Dukart, Matthias L Schroeter, Solveig Tiepolt, Hermann-josef Gertz, John SeibylAbstract:UNLABELLED: Neocortical atrophy reduces PET signal intensity, potentially affecting the diagnostic efficacy of β-amyloid (Aβ) brain PET imaging. This study investigated whether Partial-Volume Effect correction (PVEC), adjusting for this atrophy bias, improves the accuracy of (18)F-florbetaben Aβ PET. METHODS: We analyzed (18)F-florbetaben PET and MRI data obtained from 3 cohorts. The first was 10 patients with probable Alzheimer disease (AD) and 10 age-matched healthy controls (HCs), the second was 31 subjects who underwent in vivo imaging and postmortem histopathology for Aβ plaques, and the third was 5 subjects who underwent PET and MRI at baseline and 1 y later. The imaging data were coregistered and segmented. PVEC was performed using the voxel-based modified Muller-Gartner method (PVELab, SPM8). From the PET data, regional and composite SUV ratios (SUVRs) with and without PVEC were obtained. In the MRI data, mesial temporal lobe atrophy was determined by the Scheltens mesial temporal atrophy scale and gray matter Volumes by voxel-based morphometry. RESULTS: In cohort 1, PVEC increased the Effect on AD-versus-HC discrimination from a Cohen d value of 1.68 to 2.0 for composite SUVRs and from 0.04 to 1.04 for mesial temporal cortex SUVRs. The PVEC-related increase in mesial temporal cortex SUVR correlated with the Scheltens score (r = 0.84, P < 0.001), and that of composite SUVR correlated with the composite gray matter Volume (r = -0.75, P < 0.001). In cohort 2, PVEC increased the correlation coefficient between mesial temporal cortex SUVR and histopathology score for Aβ plaque load from 0.28 (P = 0.09) to 0.37 (P = 0.03). In cohort 3, PVEC did not affect the composite SUVR dynamics over time for the Aβ-negative subject. This finding was in contrast to the 4 Aβ-positive subjects, in 2 of whom PVEC changed the composite SUVR dynamics. CONCLUSION: The influence of PVEC on (18)F-florbetaben PET data is associated with the degree of brain atrophy. Thus, PVEC increases the ability of (18)F-florbetaben PET to discriminate between AD patients and HCs, to detect Aβ plaques in the atrophic mesial temporal cortex, and potentially to evaluate changes in brain Aβ load over time. As such, the use of PVEC should be considered for quantitative (18)F-florbetaben PET scans, especially in assessing patients with brain atrophy.
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Partial Volume Effect correction improves quantitative analysis of 18f florbetaben β amyloid pet scans
The Journal of Nuclear Medicine, 2016Co-Authors: Michael Rullmann, Marianne Patt, Julia Luthardt, Karltitus Hoffmann, Juergen Dukart, Matthias L Schroeter, Solveig Tiepolt, Hermann-josef GertzAbstract:Neocortical atrophy reduces PET signal intensity, potentially affecting the diagnostic efficacy of β-amyloid (Aβ) brain PET imaging. This study investigated whether Partial-Volume Effect correction (PVEC), adjusting for this atrophy bias, improves the accuracy of 18F-florbetaben Aβ PET. Methods: We analyzed 18F-florbetaben PET and MRI data obtained from 3 cohorts. The first was 10 patients with probable Alzheimer disease (AD) and 10 age-matched healthy controls (HCs), the second was 31 subjects who underwent in vivo imaging and postmortem histopathology for Aβ plaques, and the third was 5 subjects who underwent PET and MRI at baseline and 1 y later. The imaging data were coregistered and segmented. PVEC was performed using the voxel-based modified Muller-Gartner method (PVELab, SPM8). From the PET data, regional and composite SUV ratios (SUVRs) with and without PVEC were obtained. In the MRI data, mesial temporal lobe atrophy was determined by the Scheltens mesial temporal atrophy scale and gray matter Volumes by voxel-based morphometry. Results: In cohort 1, PVEC increased the Effect on AD-versus-HC discrimination from a Cohen d value of 1.68 to 2.0 for composite SUVRs and from 0.04 to 1.04 for mesial temporal cortex SUVRs. The PVEC-related increase in mesial temporal cortex SUVR correlated with the Scheltens score (r = 0.84, P
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when structure affects function the need for Partial Volume Effect correction in functional and resting state magnetic resonance imaging studies
PLOS ONE, 2014Co-Authors: Juergen Dukart, Alessandro BertolinoAbstract:Both functional and also more recently resting state magnetic resonance imaging have become established tools to investigate functional brain networks. Most studies use these tools to compare different populations without controlling for potential differences in underlying brain structure which might affect the functional measurements of interest. Here, we adapt a simulation approach combined with evaluation of real resting state magnetic resonance imaging data to investigate the potential impact of Partial Volume Effects on established functional and resting state magnetic resonance imaging analyses. We demonstrate that differences in the underlying structure lead to a significant increase in detected functional differences in both types of analyses. Largest increases in functional differences are observed for highest signal-to-noise ratios and when signal with the lowest amount of Partial Volume Effects is compared to any other Partial Volume Effect constellation. In real data, structural information explains about 25% of within-subject variance observed in degree centrality – an established resting state connectivity measurement. Controlling this measurement for structural information can substantially alter correlational maps obtained in group analyses. Our results question current approaches of evaluating these measurements in diseased population with known structural changes without controlling for potential differences in these measurements.
Michael Rullmann - One of the best experts on this subject based on the ideXlab platform.
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reshaping the amyloid buildup curve in alzheimer disease Partial Volume Effect correction of longitudinal amyloid pet data
The Journal of Nuclear Medicine, 2020Co-Authors: Michael Rullmann, Anke Mcleod, Michel J Grothe, Osama Sabri, Henryk BarthelAbstract:It was hypothesized that the brain β-amyloid buildup curve plateaus at an early symptomatic Alzheimer9s disease (AD) stage. Atrophy-related Partial Volume Effects (PVEs) degrade signal in hot-spot imaging techniques, such as amyloid positron emission tomography (PET). This longitudinal analysis of amyloid-sensitive PET data investigated the shape of the β-amyloid curve in AD applying PVE correction (PVEC). We analyzed baseline and 2-year follow-up data of 216 symptomatic individuals on the AD continuum (positive amyloid status) enrolled in Alzheimer9s Disease Neuroimaging Initiative (17 AD dementia, 199 mild cognitive impairment), including 18F-florbetapir PET, magnetic resonance imaging and mini mental state examination (MMSE) scores. For PVEC, the modified Muller-Gartner method was performed. Compared to non-PVE-corrected data, PVE-corrected data yielded significantly higher regional and composite standardized uptake value ratio (SUVR) changes over time (P=0.0002 for composite SUVRs). Longitudinal SUVR changes in relation to MMSE decreases showed a significantly higher slope of the regression line in the PVE-corrected as compared to the non-PVE-corrected PET data (F=7.1, P=0.008). These PVEC results indicate that the β-amyloid buildup curve does not plateau at an early symptomatic disease stage. A further evaluation of the impact of PVEC on the in-vivo characterization of time-dependent AD pathology, including the reliable assessment and comparison of other amyloid tracers, is warranted.
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Partial Volume Effect correction improves quantitative analysis of 18f florbetaben β amyloid pet scans
The Journal of Nuclear Medicine, 2016Co-Authors: Michael Rullmann, Marianne Patt, Julia Luthardt, Karltitus Hoffmann, Juergen Dukart, Matthias L Schroeter, Solveig Tiepolt, Hermann-josef Gertz, John SeibylAbstract:UNLABELLED: Neocortical atrophy reduces PET signal intensity, potentially affecting the diagnostic efficacy of β-amyloid (Aβ) brain PET imaging. This study investigated whether Partial-Volume Effect correction (PVEC), adjusting for this atrophy bias, improves the accuracy of (18)F-florbetaben Aβ PET. METHODS: We analyzed (18)F-florbetaben PET and MRI data obtained from 3 cohorts. The first was 10 patients with probable Alzheimer disease (AD) and 10 age-matched healthy controls (HCs), the second was 31 subjects who underwent in vivo imaging and postmortem histopathology for Aβ plaques, and the third was 5 subjects who underwent PET and MRI at baseline and 1 y later. The imaging data were coregistered and segmented. PVEC was performed using the voxel-based modified Muller-Gartner method (PVELab, SPM8). From the PET data, regional and composite SUV ratios (SUVRs) with and without PVEC were obtained. In the MRI data, mesial temporal lobe atrophy was determined by the Scheltens mesial temporal atrophy scale and gray matter Volumes by voxel-based morphometry. RESULTS: In cohort 1, PVEC increased the Effect on AD-versus-HC discrimination from a Cohen d value of 1.68 to 2.0 for composite SUVRs and from 0.04 to 1.04 for mesial temporal cortex SUVRs. The PVEC-related increase in mesial temporal cortex SUVR correlated with the Scheltens score (r = 0.84, P < 0.001), and that of composite SUVR correlated with the composite gray matter Volume (r = -0.75, P < 0.001). In cohort 2, PVEC increased the correlation coefficient between mesial temporal cortex SUVR and histopathology score for Aβ plaque load from 0.28 (P = 0.09) to 0.37 (P = 0.03). In cohort 3, PVEC did not affect the composite SUVR dynamics over time for the Aβ-negative subject. This finding was in contrast to the 4 Aβ-positive subjects, in 2 of whom PVEC changed the composite SUVR dynamics. CONCLUSION: The influence of PVEC on (18)F-florbetaben PET data is associated with the degree of brain atrophy. Thus, PVEC increases the ability of (18)F-florbetaben PET to discriminate between AD patients and HCs, to detect Aβ plaques in the atrophic mesial temporal cortex, and potentially to evaluate changes in brain Aβ load over time. As such, the use of PVEC should be considered for quantitative (18)F-florbetaben PET scans, especially in assessing patients with brain atrophy.
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Partial Volume Effect correction improves quantitative analysis of 18f florbetaben β amyloid pet scans
The Journal of Nuclear Medicine, 2016Co-Authors: Michael Rullmann, Marianne Patt, Julia Luthardt, Karltitus Hoffmann, Juergen Dukart, Matthias L Schroeter, Solveig Tiepolt, Hermann-josef GertzAbstract:Neocortical atrophy reduces PET signal intensity, potentially affecting the diagnostic efficacy of β-amyloid (Aβ) brain PET imaging. This study investigated whether Partial-Volume Effect correction (PVEC), adjusting for this atrophy bias, improves the accuracy of 18F-florbetaben Aβ PET. Methods: We analyzed 18F-florbetaben PET and MRI data obtained from 3 cohorts. The first was 10 patients with probable Alzheimer disease (AD) and 10 age-matched healthy controls (HCs), the second was 31 subjects who underwent in vivo imaging and postmortem histopathology for Aβ plaques, and the third was 5 subjects who underwent PET and MRI at baseline and 1 y later. The imaging data were coregistered and segmented. PVEC was performed using the voxel-based modified Muller-Gartner method (PVELab, SPM8). From the PET data, regional and composite SUV ratios (SUVRs) with and without PVEC were obtained. In the MRI data, mesial temporal lobe atrophy was determined by the Scheltens mesial temporal atrophy scale and gray matter Volumes by voxel-based morphometry. Results: In cohort 1, PVEC increased the Effect on AD-versus-HC discrimination from a Cohen d value of 1.68 to 2.0 for composite SUVRs and from 0.04 to 1.04 for mesial temporal cortex SUVRs. The PVEC-related increase in mesial temporal cortex SUVR correlated with the Scheltens score (r = 0.84, P
Ali Salavati - One of the best experts on this subject based on the ideXlab platform.
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quantifying 18f fluorodeoxyglucose uptake in the arterial wall the Effects of dual time point imaging and Partial Volume Effect correction
European Journal of Nuclear Medicine and Molecular Imaging, 2015Co-Authors: Ali Salavati, Sina Houshmand, Habib Zaidi, Bjorn A Blomberg, Arjun M Bashyam, Abhinay Ramachandran, Saeid Gholami, T WernerAbstract:Purpose The human arterial wall is smaller than the spatial resolution of current positron emission tomographs. Therefore, Partial Volume Effects should be considered when quantifying arterial wall 18F-FDG uptake. We evaluated the impact of a novel method for Partial Volume Effect (PVE) correction with contrast-enhanced CT (CECT) assistance on quantification of arterial wall 18F-FDG uptake at different imaging time-points.
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the impact of Partial Volume Effect correction on the diagnostic performance of quantitative fdg pet ct parameters a lesion based analysis of suspected lung malignancy
The Journal of Nuclear Medicine, 2015Co-Authors: Ali Salavati, Sina Houshmand, Benjapa Khiewvan, Gang Cheng, Scott Akers, Thomas WernerAbstract:1387 Objectives The role of Partial Volume Effect correction (PVC)in the accurate quantitation of PET/CT parameters has been emphasized in phantom studies, However, limited number of clinical studies have investigated PVC. The purpose of this prospective study was to evaluate the potential of PVC on quantitative FDG-PET/CT parameters in benign malignant differentiation of lesions in patients with suspected lung cancer. Methods One hundred suspected lung cancer lesions (60benign;40 malignant)with histopathological diagnosis were included in this study. All patients underwent FDG-PET/CT imaging before surgery.Quantitative PET parameters such as SUVmax,SUVmean,pvcSUVmean,metabolic tumor Volume(MTV),total lesion glycolysis(TLG=SUVmean*MTV) pvcTLG (pvcSUVmean*MTV)and SUVpeak were measured by using an adaptive contrast oriented thresholding segmentation & PVC algorithm. The diagnostic performance of parameters was compared by pairwise comparison of receiver operating characteristic (ROC) curves. We also performed a subgroup analysis for lesions with metabolic Volume less than the median(MTV=6.6). Results FDG-PET/CT parameters showed superior diagnostic performance over Volumetric parameters while the area under curve(AUC)were 0.90, 0.87, 0.86, 0.84, 0.82, 0.75, 0.55, for pvcSUVmean, SUVmax,SUVmean, SUVpeak, pvcTLG, TLG and MTV, respectively. In pairwise comparison of ROC curves, pvcSUVmean showed superior performance over SUVmean(p=0.04),SUVpeak (p=0.02)but not over SUVmax(p=0.16).Similarly,PVC enhanced the diagnostic performance of TLG. In subgroup analysis of small lesions pvcSUVmean had the highest performance compared to all other parameters with statistical significance. Conclusions In this study PVC improves the diagnostic performance of PET/CT in differentiating suspected lung lesions, particularly for small lesions and it could be considered as a potential source of quantification/diagnostic inaccuracy in future clinical studies.
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application of Partial Volume Effect correction and 4d pet in the quantification of fdg avid lung lesions
Molecular Imaging and Biology, 2015Co-Authors: Ali Salavati, Samuel Borofsky, Teo K Boonkeng, Sina Houshmand, Benjapa Khiewvan, Babak Saboury, Ion Codreanu, Drew A Torigian, Habib ZaidiAbstract:Purpose: The aim of this study is to assess a software-based method with semiautomated correction for Partial Volume Effect (PVE) to quantify the metabolic activity of pulmonary malignancies in patients who underwent non-gated and respiratory-gated 2-deoxy-2-[ 18 F]fluoroD-glucose (FDG)-positron emission tomography (PET)/x-ray computed tomography(CT). Procedures: The study included 106 lesions of 55 lung cancer patients who underwent respiratory-gated FDG-PET/CT for radiation therapy treatment planning. Volumetric PET/CT parameters were determined by using 4D PET/CT and non-gated PET/CT images. We used a semiautomated program employing an adaptive contrast-oriented thresholding algorithm for lesion delineation as well as a lesion-based Partial Volume Effect correction algorithm. We compared respiratory-gated parameters with non-gated parameters by using pairwise comparison and interclass correlation coefficient assessment. In a multivariable regression analysis, we also examined factors, which can affect quantification accuracy, including the size of lesion and the location of tumor. Results: This study showed that quantification of Volumetric parameters of 4D PET/CT images using an adaptive contrast-oriented thresholding algorithm and 3D lesion-based Partial Volume correction is feasible. We observed slight increase in FDG uptake by using PET/CT Volumetric parameters in comparison of highest respiratory-gated values with non-gated values. After correction for Partial Volume Effect, the mean standardized uptake value (SUVmean) and total lesion glycolysis (TLG) increased substantially (p value G0.001). However, we did not observe a clinically significant difference between Partial Volume corrected parameters of respiratory-gated and non-gated PET/CT scans. Regression analysis showed that tumor Volume was the main predictor of quantification inaccuracy caused by Partial Volume Effect.
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application of Partial Volume Effect correction and 4d pet in the quantification of fdg avid lung lesions
Molecular Imaging and Biology, 2015Co-Authors: Ali Salavati, Samuel Borofsky, Teo K Boonkeng, Sina Houshmand, Benjapa Khiewvan, Babak Saboury, Ion Codreanu, Drew A Torigian, Habib ZaidiAbstract:Purpose The aim of this study is to assess a software-based method with semiautomated correction for Partial Volume Effect (PVE) to quantify the metabolic activity of pulmonary malignancies in patients who underwent non-gated and respiratory-gated 2-deoxy-2-[18F]fluoro-d-glucose (FDG)-positron emission tomography (PET)/x-ray computed tomography(CT).