Evidence map›Paper›PMID 41426983›Full record

ArticleFrontiers in neurology2025

Limited utility of imaging-based (N) markers in predicting cerebral spinal fluid Alzheimer's disease biomarker positivity in lecanemab-eligible mild cognitive impairment.

Takeshi Kuroda, Yukiko Mori, Daiki Shoji, Satomi Kubota, Moeko Noguchi-Shinohara, Kenjiro Ono, Hidetomo Murakami

Abstract read
In one paragraph

Article in Frontiers in neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Takeshi KurodaDepartment of Neurology, Showa Medical University School of Medicine, Tokyo, Japan.
Yukiko MoriDepartment of Neurology, Showa Medical University School of Medicine, Tokyo, Japan.
Daiki ShojiDepartment of Neurology, Showa Medical University School of Medicine, Tokyo, Japan.
Satomi KubotaDepartment of Neurology, Showa Medical University Fujigaoka Hospital, Kanagawa, Japan.
Moeko Noguchi-ShinoharaDepartment of Neurology, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Japan.
Kenjiro OnoDepartment of Neurology, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Japan.
Hidetomo MurakamiDepartment of Neurology, Showa Medical University School of Medicine, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Early detection of mild cognitive impairment (MCI) due to Alzheimer's disease (AD) is essential for the timely initiation of anti-amyloid β (Aβ) therapy. In clinical practice, cerebrospinal fluid (CSF) testing and amyloid positron emission tomography (PET) are not feasible for all patients; therefore, initial screening sometimes relies on imaging-based neurodegeneration (N) markers within the amyloid-tau-neurodegeneration AT(N) framework. However, the diagnostic accuracy of imaging-based (N) markers remains uncertain in real-world MCI cohorts being evaluated for anti-Aβ antibody therapy. We aimed to assess the utility of imaging-based (N) markers in predicting AD pathology in patients with MCI who may be eligible for lecanemab. Methods: Thirty-six patients with MCI who were potentially eligible for lecanemab underwent CSF biomarker testing and were subsequently classified as MCI unlikely due to AD (MCI non-AD; Results: MCI-AD was diagnosed in 22 patients (61%). Demographics, neuropsychological test scores, and most general risk factors did not differ between groups, except for diabetes, which was more frequent in the MCI non-AD group. Overall, 34 of 36 patients (94%) were classified as (N) + based on MRI or SPECT (91% MCI-AD; 100% MCI non-AD). There were no significant differences in mean MTA scores or the degree of CBF reduction between groups. In contrast, the proportion of MRI (N) + patients was significantly higher in the MCI non-AD group than in the MCI-AD group, and two patients with MCI-AD were (N) - on both MRI and SPECT. Conclusion: Relying on imaging-based (N) markers to select MCI patients who may be eligible for lecanemab prior to CSF biomarker testing may lead to inefficient diagnostic pathways and may fail to identify patients who could benefit from anti-Aβ therapy.

Indexed as

Alzheimer’s diseaseanti-amyloid β therapyimaging-based (N) markerslecanemabmild cognitive impairment

Identifiers

PMID41426983
PMCPMC12711529

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