Rapid Quantitative Analysis of Individual 18FDG-PET Scans

Swartz, Barbara E.; Thomas, Ken; Simpkins, Fiona; Kovalik, Edward; Mandelkern, Mark

doi:10.1016/s1095-0397(99)00003-5

Cited by 13 publications

(7 citation statements)

References 18 publications

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“…To overcome this shortcoming, a variety of observer‐independent analysis methods have been studied, including SPM and three‐dimensional stereotactic surface projections (12). SPM is now widely used for analyzing functional brain images and has been applied to FDG‐PET (13), especially for cases of TLE (14). This approach reduced observer variability, but the methods were still not fully objective because they lacked information about anatomic structures.…”

Section: Discussionmentioning

confidence: 99%

FDG‐PET Images Quantified by Probabilistic Atlas of Brain and Surgical Prognosis of Temporal Lobe Epilepsy

Lee¹,

Lee²,

Yeo³

et al. 2002

Epilepsia

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Summary:Purpose: This study evaluated the relation between hypometabolism, diagnosed by fluorodeoxyglucose positron emission tomography (FDG-PET), and the surgical outcome of a large and homogeneous series of cases of mesial temporal lobe epilepsy (mTLE), by using a probabilistic atlas of the human brain (statistical probabilistic anatomical maps: SPAM).Methods: Ninety-five surgically proven intractable mTLE patients and 22 age-matched controls were spatially normalized to the average brain PET template of international consortium of brain mapping (ICBM). The diagnosis of mTLE was confirmed by the presence of hippocampal sclerosis on magnetic resonance imaging (MRI) and video-EEG monitoring. Counts from normalized PET images were multiplied by the probability from 98 volumes of interest (VOIs) of SPAM. Asymmetric indexes (AIs) reflecting the severity of hypometabolism were calculated by counts of selected 12 VOIs from SPAM images in both temporal lobes. Extent of hypometabolism was determined by the number of voxels showing decreased metabolism in each VOI segmented by SPAM.Results: Of the 95 patients studied, 76 (80%) were seizure free, and 19 (20%) had postoperative seizures for the Ն2-year follow-up period. No significant association between the severity of hypometabolism in each VOI of the temporal lobe and surgical outcome was identified (p > 0.05). The number of voxels showing decreased hypometabolism was not significantly different between the good-and poor-outcome groups (p > 0.05).Conclusions: Our results demonstrated that focal severity and extent of hypometabolism quantified by a probabilistic atlas of brain were not related to the surgical outcome in mTLE patients who had hippocampal sclerosis on MRI. We should develop a more localized and specified anatomic map for mTLE for further results. Key Words: FDG-PET-Mesial temporal lobe epilepsy-Statistical probabilistic anatomic map (SPAM)-Surgery-Prognosis.The role of [ 18 F] fluorodeoxyglucose-positron emission tomography (FDG-PET) is well established in the diagnosis of lateralization of a seizure focus in mesial temporal lobe epilepsy (mTLE). In the interictal state, the epileptogenic temporal lobe demonstrates decreased glucose metabolism in ∼80% of these patients (1-4). Furthermore, recent studies suggest that FDG-PET may be a reliable indicator of clinical outcome after surgery (5-7). The presence of a hypometabolic temporal lobe is predictive of favorable surgical outcome in mTLE (1,6-9).However, the presence of a specific focal hypometabolic region related to surgical outcome is still a controversial issue. Some studies have suggested that the asymmetry index of the mesial temporal lobe might be a better predictor for a good outcome, although on average, the asymmetry index of the lateral temporal lobe is greater than that of the mesial temporal lobe (1,10). Other studies have found that uncal (8), lateral (5), anterolateral (9), or temporopolar regions (11) seem to correlate better with a good surgical outcome.The visual assessment of FDG-PET is...

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Section: Discussionmentioning

confidence: 99%

FDG‐PET Images Quantified by Probabilistic Atlas of Brain and Surgical Prognosis of Temporal Lobe Epilepsy

Lee¹,

Lee²,

Yeo³

et al. 2002

Epilepsia

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“…Introduction of quantitative methods to analyze 18 F-FDG-PET data has refined this information and provided a more precise topographical understanding of the regional vulnerability and severity of the metabolic insult in various neurological disorders and in focal epilepsy (Cummings et al, 1995;Duncan et al, 1997;Engel, 1984;McMurtray et al, 2008;Rintahaka et al, 1993;Schapiro et al, 1992). Quantitative analysis of imaging data can be achieved by Statistical Parametric Mapping (SPM), an effective, objective, and reliable method that supplements visual interpretation (Salek-Haddadi et al, 2003;Swartz et al, 1999). This quantitative method provides a voxel based analysis of metabolic activity that permits whole brain global analysis.…”

Section: Introductionmentioning

confidence: 99%

Topography of brain glucose hypometabolism and epileptic network in glucose transporter 1 deficiency

et al. 2015

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“…However, visual evaluation of FDG PET images strongly depends on the experience of the interpreter, particularly in case of modest alterations of brain metabolism in the early stages of Alzheimer's disease. Therefore, automatic anatomical standardization and voxel-based statistical evaluation are being increasingly used for the evaluation of brain PET scans [8][9][10][11][12]. These new techniques allow automated and operator-independent evaluation of brain PET scans.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of a new expert system for fully automated detection of the Alzheimer's dementia pattern in FDG PET

Borczyskowski

Wilke²,

Martin³

et al. 2006

Nuclear Medicine Communications

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Rapid Quantitative Analysis of Individual 18FDG-PET Scans

Cited by 13 publications

References 18 publications

FDG‐PET Images Quantified by Probabilistic Atlas of Brain and Surgical Prognosis of Temporal Lobe Epilepsy

FDG‐PET Images Quantified by Probabilistic Atlas of Brain and Surgical Prognosis of Temporal Lobe Epilepsy

Topography of brain glucose hypometabolism and epileptic network in glucose transporter 1 deficiency

Evaluation of a new expert system for fully automated detection of the Alzheimer's dementia pattern in FDG PET

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