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Article

Brain metabolic imaging with 18 F-PET-CT and machine-learning clustering analysis reveal divergent metabolic phenotypes in patients with amyotrophic lateral sclerosis.

European journal of nuclear medicine and molecular imaging - 1 Feb 2026

Zhang Jinfan, Han Fuchang, Wang Xueying, Wu Feifei, Song Xinyu, Liu Qing, Wang Junling, Grecucci Alessandro, Zhang Yuanchao, Yi Xiaoping, Chen Bihong T

Abstract excerpt

BACKGROUND: Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disorder characterized by significant clinicopathologic heterogeneity. This study aimed to identify distinct ALS phenotypes by integrating brain 18 F-fluorodeoxyglucose positron emission tomography-computed tomography (18 F-FDG PET-CT) metabolic imaging with consensus clustering data. METHODS: This study prospectively enrolled 127...

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PMID: 41042334
DOI: 10.1007/s00259-025-07585-5

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

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