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This page is alzhub.org's plain-English summary of a published study, not the paper itself. It is generated from the record we hold for this study, sourced and linked below — check the original for the full text and methods.

✓ Peer-reviewed alzhub usefulness score 50 out of 100. Brain scans and imaging

Topic: Brain proteins, microglia and lab models

The AI-powered pipeline achieved robust performance with intraclass correlation coefficients exceeding 0.97 for regional uptake estimation compared with MR-based ground truth. We also showed that the tau deposition in metatemporal regions was significantly correlated with Mini-Mental State Examination and Montreal Cognitive Assessment scores. Elevated tau PET uptake in the entorhinal cortex and inferior temporal gyrus predicted future cognitive decline. The proposed AI-powered pipeline enhances the clinical accessibility of tau PET by reducing scan costs and streamlining the uptake quantification, achieving high performance without requiring structural MR. We further demonstrated that the pipeline yields cognitively relevant outcome measures for early diagnosis and monitoring of AD progression to aid more personalized treatment strategies targeting AD biomarkers.

Key findings

Why it matters

An AI pipeline quantified flortaucipir tau-PET uptake without needing structural MRI, with high agreement to MR-based measures, and elevated uptake in the entorhinal cortex and inferior temporal gyrus predicted future cognitive decline. This is a diagnostic and monitoring tool, not a treatment, cure, or prevention.

Study details

How this study scored 50/100
How this study's score is builtJournal tier 7 of 10; Journal's citation record 2 of 4; Study design 7 of 12; Strength of evidence 3 of 5; Peer-review validation 10 of 10; How recent 4 of 5; Sample size 2 of 4; Effect reported 0 of 3; Studied in people 3 of 3; Randomised / blinded 0 of 2; Times cited 1 of 7; Citations per year 0 of 5; Impact for its field and year 2 of 6; Cited by studies here 1 of 6; Still being cited 0 of 4; Senior author's track record 1 of 4; Institution's track record 1 of 3; Multi-centre collaboration 2 of 3; Indexed in PubMed 2 of 2; Free to read 2 of 2. Total 50 of 100.50 of 100 points earned50 not earned

Published in a peer-reviewed journal, and it is a longitudinal study following the same people over time. Scored zero for effect reported and randomised / blinded because the record does not state it.

ComponentPointsWhy
Journal tier 7 / 10 Tier 3 — peer-reviewed journal (Journal of Nuclear Medicine)
Journal's citation record 2 / 4 Journal of Nuclear Medicine: journal h-index 230 (OpenAlex, 2026-10-29)
Study design 7 / 12 A longitudinal study following the same people over time
Strength of evidence 3 / 5 Rated “moderate” in our summary
Peer-review validation 10 / 10 Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent 4 / 5 2025 — within 3 year(s) of the newest study here
Sample size 2 / 4 666 participants
Effect reported 0 / 3 No effect size reported — scores zero (not stated in the record — scored 0)
Studied in people 3 / 3 Studied in people (participant count stated)
Randomised / blinded 0 / 2 No randomisation or blinding stated — scores zero (not stated in the record — scored 0)
Times cited 1 / 7 Cited 2 times (OpenAlex, 2026-10-10)
Citations per year 0 / 5 0.7 citations a year over 3 year(s) since 2025
Impact for its field and year 2 / 6 Cited 1.3× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here 1 / 6 Cited by 1 other studies in this library
Still being cited 0 / 4 Cited 2 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record 1 / 4 Last-listed author Jae-Sung Lee: h-index 12 (OpenAlex, whole career)
Institution's track record 1 / 3 Seoul National University: institution h-index 1,053 (OpenAlex)
Multi-centre collaboration 2 / 3 OpenAlex lists 4 institution(s) in 1 country
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 40935607)
Free to read 2 / 2 Free to read
Total 50 / 100 —

What each of these 20 components measures, and what this score is not →

Read the original

Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record's author list ends in “et al.”, so not every author is named. Check the citation against the original before you use it.

APA 7th

Yoo, H. B., Kang, S. K., Shin, S. A., Kim, D., Choi, H., Kim, Y., et al. (2025). Artificial Intelligence–Powered Quantification of Flortaucipir PET for Detecting Tau Pathology. Journal of Nuclear Medicine. https://doi.org/10.2967/jnumed.125.269636

Vancouver

Yoo HB, Kang SK, Shin SA, Kim D, Choi H, Kim Y, et al. Artificial Intelligence–Powered Quantification of Flortaucipir PET for Detecting Tau Pathology. Journal of Nuclear Medicine. 2025. doi:10.2967/jnumed.125.269636. PMID: 40935607.

BibTeX

@article{yoo2025-40935607,
  author  = {Yoo, Hye Bin and Kang, Seung Kwan and Shin, Seong Ah and Kim, Daewoon and Choi, Hongyoon and Kim, Yoon‐Keun and Yi, Dahyun and Byun, Min Soo and others},
  title   = {{Artificial Intelligence–Powered Quantification of Flortaucipir PET for Detecting Tau Pathology}},
  journal = {Journal of Nuclear Medicine},
  year    = {2025},
  doi     = {10.2967/jnumed.125.269636},
  pmid    = {40935607},
  url     = {https://doi.org/10.2967/jnumed.125.269636}
}

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