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Record W4361253332 · doi:10.2967/jnumed.122.265072

Measurement of Cerebral Perfusion Indices from the Early Phase of [<sup>18</sup>F]MK6240 Dynamic Tau PET Imaging

2023· article· en· W4361253332 on OpenAlexaboutno aff
Nicolas J. Guehl, Maëva Dhaynaut, Bernard Hanseeuw, Sung‐Hyun Moon, Cristina Lois, Emma G. Thibault, Jessie Fanglu Fu, Julie C. Price, Keith A. Johnson, Georges El Fakhri, Marc D. Normandin

Bibliographic record

VenueJournal of Nuclear Medicine · 2023
Typearticle
Languageen
FieldMedicine
TopicMedical Imaging Techniques and Applications
Canadian institutionsnot available
FundersNational Institute of Biomedical Imaging and BioengineeringNational Institute on AgingNational Institutes of Health
KeywordsNuclear medicinePerfusion scanningPerfusionNuclear magnetic resonanceChemistryPhysicsMedicineInternal medicine

Abstract

fetched live from OpenAlex

6-(fluoro-<sup>18</sup>F)-3-(1H-pyrrolo[2,3-c]pyridin-1-yl)isoquinolin-5-amine ([<sup>18</sup>F]MK6240) has high affinity and selectivity for hyperphosphorylated tau and readily crosses the blood–brain barrier. This study investigated whether the early phase of [<sup>18</sup>F]MK6240 can be used to provide a surrogate index of cerebral perfusion. <b>Methods:</b> Forty-nine subjects who were cognitively normal (CN), had mild cognitive impairment (MCI), or had Alzheimer’s disease (AD) underwent paired dynamic [<sup>18</sup>F]MK6240 and [<sup>11</sup>C]Pittsburgh compound B (PiB) PET, as well as structural MRI to obtain anatomic information. Arterial blood samples were collected in a subset of 24 subjects for [<sup>18</sup>F]MK6240 scans to derive metabolite-corrected arterial input functions. Regional time–activity curves were extracted using atlases available in the Montreal Neurologic Institute template space and using FreeSurfer. The early phase of brain time–activity curves was analyzed using a 1-tissue-compartment model to obtain a robust estimate of the rate of transfer from plasma to brain tissue, <i>K</i><sub>1</sub> (mL⋅cm<sup>−3</sup>⋅min<sup>−1</sup>), and the simplified reference tissue model 2 was investigated for noninvasive estimation of the relative delivery rate, <i>R</i><sub>1</sub> (unitless). A head-to-head comparison with <i>R</i><sub>1</sub> derived from [<sup>11</sup>C]PiB scans was performed. Grouped differences in <i>R</i><sub>1</sub> were evaluated among CN, MCI, and AD subjects. <b>Results:</b> Regional <i>K</i><sub>1</sub> values suggested a relatively high extraction fraction. <i>R</i><sub>1</sub> estimated noninvasively from simplified reference tissue model 2 agreed well with <i>R</i><sub>1</sub> calculated indirectly from the blood-based compartment modeling (<i>r</i> = 0.99; mean difference, 0.024 ± 0.027), suggesting that robust estimates were obtained. <i>R</i><sub>1</sub> measurements obtained with [<sup>18</sup>F]MK6240 correlated strongly and overall agreed well with those obtained from [<sup>11</sup>C]PiB (<i>r</i> = 0.93; mean difference, −0.001 ± 0.068). Statistically significant differences were observed in regional <i>R</i><sub>1</sub> measurements among CN, MCI, and AD subjects, notably in the temporal and parietal cortices. <b>Conclusion:</b> Our results provide evidence that the early phase of [<sup>18</sup>F]MK6240 images may be used to derive a useful index of cerebral perfusion. The early and late phases of a [<sup>18</sup>F]MK6240 dynamic acquisition may thus offer complementary information about the pathophysiologic mechanisms of the disease.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.577
Threshold uncertainty score0.958

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.040
GPT teacher head0.338
Teacher spread0.299 · 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 teacher head, 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

Citations10
Published2023
Admission routes1
Has abstractyes

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