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Optimization of Statistical Single Subject Analysis of Brain FDG PET for the Prognosis of Mild Cognitive Impairment-to-Alzheimer's Disease Conversion

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Optimization of Statistical Single Subject Analysis of Brain FDG PET for the Prognosis of Mild Cognitive Impairment-to-Alzheimer's Disease Conversion. / Lange, Catharina; Suppa, Per; Frings, Lars; Brenner, Winfried; Spies, Lothar; Buchert, Ralph.

In: J ALZHEIMERS DIS, Vol. 49, No. 4, 2016, p. 945-959.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Lange, C, Suppa, P, Frings, L, Brenner, W, Spies, L & Buchert, R 2016, 'Optimization of Statistical Single Subject Analysis of Brain FDG PET for the Prognosis of Mild Cognitive Impairment-to-Alzheimer's Disease Conversion', J ALZHEIMERS DIS, vol. 49, no. 4, pp. 945-959. https://doi.org/10.3233/JAD-150814

APA

Lange, C., Suppa, P., Frings, L., Brenner, W., Spies, L., & Buchert, R. (2016). Optimization of Statistical Single Subject Analysis of Brain FDG PET for the Prognosis of Mild Cognitive Impairment-to-Alzheimer's Disease Conversion. J ALZHEIMERS DIS, 49(4), 945-959. https://doi.org/10.3233/JAD-150814

Vancouver

Lange C, Suppa P, Frings L, Brenner W, Spies L, Buchert R. Optimization of Statistical Single Subject Analysis of Brain FDG PET for the Prognosis of Mild Cognitive Impairment-to-Alzheimer's Disease Conversion. J ALZHEIMERS DIS. 2016;49(4):945-959. https://doi.org/10.3233/JAD-150814

Bibtex

@article{4593edfd738d43bc9fd373a9e49b6d33,
title = "Optimization of Statistical Single Subject Analysis of Brain FDG PET for the Prognosis of Mild Cognitive Impairment-to-Alzheimer's Disease Conversion",
abstract = "BACKGROUND: Positron emission tomography (PET) with the glucose analog F-18-fluorodeoxyglucose (FDG) is widely used in the diagnosis of neurodegenerative diseases. Guidelines recommend voxel-based statistical testing to support visual evaluation of the PET images. However, the performance of voxel-based testing strongly depends on each single preprocessing step involved.OBJECTIVE: To optimize the processing pipeline of voxel-based testing for the prognosis of dementia in subjects with amnestic mild cognitive impairment (MCI).METHODS: The study included 108 ADNI MCI subjects grouped as 'stable MCI' (n = 77) or 'MCI-to-AD converter' according to their diagnostic trajectory over 3 years. Thirty-two ADNI normals served as controls. Voxel-based testing was performed with the statistical parametric mapping software (SPM8) starting with default settings. The following modifications were added step-by-step: (i) motion correction, (ii) custom-made FDG template, (iii) different reference regions for intensity scaling, and (iv) smoothing was varied between 8 and 18 mm. The t-sum score for hypometabolism within a predefined AD mask was compared between the different settings using receiver operating characteristic (ROC) analysis with respect to differentiation between 'stable MCI' and 'MCI-to-AD converter'. The area (AUC) under the ROC curve was used as performance measure.RESULTS: The default setting provided an AUC of 0.728. The modifications of the processing pipeline improved the AUC up to 0.832 (p = 0.046). Improvement of the AUC was confirmed in an independent validation sample of 241 ADNI MCI subjects (p = 0.048).CONCLUSION: The prognostic value of voxel-based single subject analysis of brain FDG PET in MCI subjects can be improved considerably by optimizing the processing pipeline.",
keywords = "Aged, Alzheimer Disease/diagnosis, Area Under Curve, Brain/diagnostic imaging, Cognitive Dysfunction/diagnosis, Disease Progression, Female, Fluorodeoxyglucose F18, Follow-Up Studies, Glucose/metabolism, Humans, Image Interpretation, Computer-Assisted/methods, Male, Positron-Emission Tomography/methods, Prognosis, ROC Curve, Radiopharmaceuticals",
author = "Catharina Lange and Per Suppa and Lars Frings and Winfried Brenner and Lothar Spies and Ralph Buchert",
year = "2016",
doi = "10.3233/JAD-150814",
language = "English",
volume = "49",
pages = "945--959",
journal = "J ALZHEIMERS DIS",
issn = "1387-2877",
publisher = "IOS Press",
number = "4",

}

RIS

TY - JOUR

T1 - Optimization of Statistical Single Subject Analysis of Brain FDG PET for the Prognosis of Mild Cognitive Impairment-to-Alzheimer's Disease Conversion

AU - Lange, Catharina

AU - Suppa, Per

AU - Frings, Lars

AU - Brenner, Winfried

AU - Spies, Lothar

AU - Buchert, Ralph

PY - 2016

Y1 - 2016

N2 - BACKGROUND: Positron emission tomography (PET) with the glucose analog F-18-fluorodeoxyglucose (FDG) is widely used in the diagnosis of neurodegenerative diseases. Guidelines recommend voxel-based statistical testing to support visual evaluation of the PET images. However, the performance of voxel-based testing strongly depends on each single preprocessing step involved.OBJECTIVE: To optimize the processing pipeline of voxel-based testing for the prognosis of dementia in subjects with amnestic mild cognitive impairment (MCI).METHODS: The study included 108 ADNI MCI subjects grouped as 'stable MCI' (n = 77) or 'MCI-to-AD converter' according to their diagnostic trajectory over 3 years. Thirty-two ADNI normals served as controls. Voxel-based testing was performed with the statistical parametric mapping software (SPM8) starting with default settings. The following modifications were added step-by-step: (i) motion correction, (ii) custom-made FDG template, (iii) different reference regions for intensity scaling, and (iv) smoothing was varied between 8 and 18 mm. The t-sum score for hypometabolism within a predefined AD mask was compared between the different settings using receiver operating characteristic (ROC) analysis with respect to differentiation between 'stable MCI' and 'MCI-to-AD converter'. The area (AUC) under the ROC curve was used as performance measure.RESULTS: The default setting provided an AUC of 0.728. The modifications of the processing pipeline improved the AUC up to 0.832 (p = 0.046). Improvement of the AUC was confirmed in an independent validation sample of 241 ADNI MCI subjects (p = 0.048).CONCLUSION: The prognostic value of voxel-based single subject analysis of brain FDG PET in MCI subjects can be improved considerably by optimizing the processing pipeline.

AB - BACKGROUND: Positron emission tomography (PET) with the glucose analog F-18-fluorodeoxyglucose (FDG) is widely used in the diagnosis of neurodegenerative diseases. Guidelines recommend voxel-based statistical testing to support visual evaluation of the PET images. However, the performance of voxel-based testing strongly depends on each single preprocessing step involved.OBJECTIVE: To optimize the processing pipeline of voxel-based testing for the prognosis of dementia in subjects with amnestic mild cognitive impairment (MCI).METHODS: The study included 108 ADNI MCI subjects grouped as 'stable MCI' (n = 77) or 'MCI-to-AD converter' according to their diagnostic trajectory over 3 years. Thirty-two ADNI normals served as controls. Voxel-based testing was performed with the statistical parametric mapping software (SPM8) starting with default settings. The following modifications were added step-by-step: (i) motion correction, (ii) custom-made FDG template, (iii) different reference regions for intensity scaling, and (iv) smoothing was varied between 8 and 18 mm. The t-sum score for hypometabolism within a predefined AD mask was compared between the different settings using receiver operating characteristic (ROC) analysis with respect to differentiation between 'stable MCI' and 'MCI-to-AD converter'. The area (AUC) under the ROC curve was used as performance measure.RESULTS: The default setting provided an AUC of 0.728. The modifications of the processing pipeline improved the AUC up to 0.832 (p = 0.046). Improvement of the AUC was confirmed in an independent validation sample of 241 ADNI MCI subjects (p = 0.048).CONCLUSION: The prognostic value of voxel-based single subject analysis of brain FDG PET in MCI subjects can be improved considerably by optimizing the processing pipeline.

KW - Aged

KW - Alzheimer Disease/diagnosis

KW - Area Under Curve

KW - Brain/diagnostic imaging

KW - Cognitive Dysfunction/diagnosis

KW - Disease Progression

KW - Female

KW - Fluorodeoxyglucose F18

KW - Follow-Up Studies

KW - Glucose/metabolism

KW - Humans

KW - Image Interpretation, Computer-Assisted/methods

KW - Male

KW - Positron-Emission Tomography/methods

KW - Prognosis

KW - ROC Curve

KW - Radiopharmaceuticals

U2 - 10.3233/JAD-150814

DO - 10.3233/JAD-150814

M3 - SCORING: Journal article

C2 - 26577523

VL - 49

SP - 945

EP - 959

JO - J ALZHEIMERS DIS

JF - J ALZHEIMERS DIS

SN - 1387-2877

IS - 4

ER -