Dataset Information

Differential Diagnosis of Alzheimer Disease vs. Mild Cognitive Impairment Based on Left Temporal Lateral Lobe Hypomethabolism on ¹⁸F-FDG PET/CT and Automated Classifiers.

ABSTRACT:

Purpose

We evaluate the ability of Artificial Intelligence with automatic classification methods applied to semi-quantitative data from brain ¹⁸F-FDG PET/CT to improve the differential diagnosis between Alzheimer Disease (AD) and Mild Cognitive Impairment (MCI).

Procedures

We retrospectively analyzed a total of 150 consecutive patients who underwent diagnostic evaluation for suspected AD (n = 67) or MCI (n = 83). All patients received brain 18F-FDG PET/CT according to the international guidelines, and images were analyzed both Qualitatively (QL) and Quantitatively (QN), the latter by a fully automated post-processing software that produced a z score metabolic map of 25 anatomically different cortical regions. A subset of n = 122 cases with a confirmed diagnosis of AD (n = 53) or MDI (n = 69) by 18-24-month clinical follow-up was finally included in the study. Univariate analysis and three automated classification models (classification tree -ClT-, ridge classifier -RC- and linear Support Vector Machine -lSVM-) were considered to estimate the ability of the z scores to discriminate between AD and MCI cases in.

Results

The univariate analysis returned 14 areas where the z scores were significantly different between AD and MCI groups, and the classification accuracy ranged between 74.59% and 76.23%, with ClT and RC providing the best results. The best classification strategy consisted of one single split with a cut-off value of ≈ -2.0 on the z score from temporal lateral left area: cases below this threshold were classified as AD and those above the threshold as MCI.

Conclusions

Our findings confirm the usefulness of brain 18F-FDG PET/CT QL and QN analyses in differentiating AD from MCI. Moreover, the combined use of automated classifications models can improve the diagnostic process since its use allows identification of a specific hypometabolic area involved in AD cases in respect to MCI. This data improves the traditional 18F-FDG PET/CT image interpretation and the diagnostic assessment of cognitive disorders.

SUBMITTER: Nuvoli S

PROVIDER: S-EPMC9601187 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature

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Publications

Differential Diagnosis of Alzheimer Disease vs. Mild Cognitive Impairment Based on Left Temporal Lateral Lobe Hypomethabolism on <sup>18</sup>F-FDG PET/CT and Automated Classifiers.

Nuvoli Susanna S Bianconi Francesco F Rondini Maria M Lazzarato Achille A Marongiu Andrea A Fravolini Mario Luca ML Cascianelli Silvia S Amici Serena S Filippi Luca L Spanu Angela A Palumbo Barbara B

Diagnostics (Basel, Switzerland) 20221007 10

<h4>Purpose</h4>We evaluate the ability of Artificial Intelligence with automatic classification methods applied to semi-quantitative data from brain <sup>18</sup>F-FDG PET/CT to improve the differential diagnosis between Alzheimer Disease (AD) and Mild Cognitive Impairment (MCI).<h4>Procedures</h4>We retrospectively analyzed a total of 150 consecutive patients who underwent diagnostic evaluation for suspected AD (n = 67) or MCI (n = 83). All patients received brain 18F-FDG PET/CT according to t ...[more]

PMID: 36292114

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Dataset Information

Differential Diagnosis of Alzheimer Disease vs. Mild Cognitive Impairment Based on Left Temporal Lateral Lobe Hypomethabolism on ¹⁸F-FDG PET/CT and Automated Classifiers.

Purpose

Procedures

Results

Conclusions

Publications

Differential Diagnosis of Alzheimer Disease vs. Mild Cognitive Impairment Based on Left Temporal Lateral Lobe Hypomethabolism on <sup>18</sup>F-FDG PET/CT and Automated Classifiers.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

Dataset Information

Differential Diagnosis of Alzheimer Disease vs. Mild Cognitive Impairment Based on Left Temporal Lateral Lobe Hypomethabolism on 18F-FDG PET/CT and Automated Classifiers.

Purpose

Procedures

Results

Conclusions

Publications

Differential Diagnosis of Alzheimer Disease vs. Mild Cognitive Impairment Based on Left Temporal Lateral Lobe Hypomethabolism on <sup>18</sup>F-FDG PET/CT and Automated Classifiers.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

Differential Diagnosis of Alzheimer Disease vs. Mild Cognitive Impairment Based on Left Temporal Lateral Lobe Hypomethabolism on ¹⁸F-FDG PET/CT and Automated Classifiers.