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Record W7118298513 · doi:10.1002/alz70856_104777

Developing a Novel Reference Region for PI‐2620‐PET Imaging to Facilitate Assessment of 4‐Repeat Tauopathies

2025· article· en· W7118298513 on OpenAlexaff
Lukas Frontzkowski, Mattes Groß, Sebastian N. Roemer‐Cassiano, Carla Palleis, Amir Dehsarvi, Sabrina Katzdobler, Anna Dewenter, Anna Steward, Davina Biel, Fabian Hirsch, Johannes Gnörich, Johannes Levin, Andrew Stephens, Andre Mueller, Norman Koglin, Gérard N. Bischof, Gábor G. Kovács, Günter U Höglinger, Matthias Brendel, Nicolai Franzmeier

Bibliographic record

VenueAlzheimer s & Dementia · 2025
Typearticle
Languageen
FieldMedicine
TopicEpilepsy research and treatment
Canadian institutionsOccupational Cancer Research CentreUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsNeuroimagingSensitivity (control systems)CerebellumMedical imagingMagnetic resonance imaging

Abstract

fetched live from OpenAlex

BACKGROUND: Neurodegenerative 4-repeat (4R) tauopathies commonly manifest as progressive supranuclear palsy (PSP). PSP patients show elevated PI-2620-PET in subcortical 4R tau predilection sites (e.g., globus pallidus), suggesting PI-2620-PET as a promising 4R tau neuroimaging candidate. However, optimal quantification of PI-2620-PET in 4R tauopathies remains challenging, as conventional cerebellar tau-PET reference regions also accumulate 4R tau. We aimed to use unbiased image-derived input function (IDIF) PET data to determine an optimized PET reference region for in vivo quantification of 4R tau. METHODS: We obtained 60-minute dynamic PI-2620-PET in 54 PSP Richardson Syndrome (PSP-RS) patients and 19 healthy controls (HC), applying IDIF-modeling using carotid timeseries to assess unbiased PI-2620-PET binding and determine total distribution volume (VT). Through an iterative approach, we intensity-normalized VT-images against white-matter regions in the Hammers brain atlas, identifying regions where intensity-normalized pallidum PET values showed the largest PSP-RS vs. HC differences. White-matter regions with strongest PSP-RS vs. HC differences surviving multiple-comparison correction were summarized into a single reference region spanning bilateral temporo-orbital white-matter. This ROI was then used to determine SUVRs using conventional 20-40 minute PI-2620-PET data in PSP-RS, a PSP-non-RS validation sample (n = 63), as well as non-tau disease controls (i.e., alpha-synucleinopathies, n = 20; Alzheimer's disease, n = 23). RESULTS: Using PI-2620 SUVRs obtained with the temporo-orbital white-matter reference, we detected strong PSP-RS vs. HC group differences in basal ganglia SUVRs using voxel-wise comparisons (p <0.001, FWE-cluster corrected). Similar basal ganglia differences were detected for PSP-non-RS vs. HC, but not for alpha-syn (no group differences) or AD vs. HC (cortical AD-like group differences). In contrast, minimal group differences were found using a conventional inferior cerebellar grey matter reference region. CONCLUSIONS: Our findings strongly suggest temporo-orbital white-matter is superior to inferior cerebellum as a reference region for PI-2620-PET imaging in 4R tauopathies, due to increased sensitivity and purported specificity for 4R tau.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.122
GPT teacher head0.381
Teacher spread0.259 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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