Evidence map›Paper›PMID 42877686›Full record

ArticleThe Lancet medical imaging & theranostics2026

Low-dose CT for MRI-free quantification of tau PET in Alzheimer's disease: a multicentre, cross-sectional, comparison study.

Guilherme Povala, Livia Amaral, Bruna Bellaver, Firoza Z Lussier, Pamela C L Ferreira, Douglas T Leffa, Guilherme Bauer-Negrini, Raphael de Luca E Tuma, Alvaro de Oliveira Franco, Cécile Tissot and 14 more

Abstract read
In one paragraph

Article in The Lancet medical imaging & theranostics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors.

Guilherme PovalaDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
Livia AmaralDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
Bruna BellaverDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
Firoza Z LussierDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
Pamela C L FerreiraDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
Douglas T LeffaDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
Guilherme Bauer-NegriniDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
Raphael de Luca E TumaDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
Alvaro de Oliveira FrancoDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
Cécile TissotLawrence Berkeley National Laboratory, Berkeley, CA, USA.
Quentin FinnDepartment of Neurology, Houston Methodist Research Institute and Weill Cornell Medicine, Houston, TX, USA.
João Pedro Ferrari-SouzaDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
Eduardo R ZimmerTranslational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Douglas Research Institute, Montréal, QC, Canada.
Dana L TudorascuDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
Joseph C MasdeuDepartment of Neurology, Houston Methodist Research Institute and Weill Cornell Medicine, Houston, TX, USA.
Juan ForteaSant Pau Memory Unit, IR SANT PAU, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
David N Soleimani-MeigooniLawrence Berkeley National Laboratory, Berkeley, CA, USA.
Val LoweDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.
Hwamee OhDepartment of Psychiatry and Human Behavior, Brown University, Providence, RI, USA.
Brian A GordonDepartment of Radiology, Washington University in St Louis, St Louis, MO, USA.
Belen PascualDepartment of Neurology, Houston Methodist Research Institute and Weill Cornell Medicine, Houston, TX, USA.
Pedro Rosa-NetoTranslational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Douglas Research Institute, Montréal, QC, Canada.
Suzanne BakerLawrence Berkeley National Laboratory, Berkeley, CA, USA.
Tharick A PascoalDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.

Funding

National Centralized Repository for Alzheimer's Disease and Related Dementias (NCRAD)U24AG021886 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI TATIANA M. FOROUD · 2002 to 2026
$119.8M
NATIONAL ALZHEIMERS COORDINATING CENTER (NACC)U01AG016976 · NIA · UNIVERSITY OF WASHINGTON · PI KUKULL, WALTER ANTHONY · 1999 to 2020
$72.8M
Longitudinal multicenter head-to-head harmonization of tau PET tracersR01AG073267 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BAKER, SUZANNE L, PASCOAL, THARICK · 2021 to 2025
$41.1M
DS-ARC: A Remote Digital Cognitive Assessment for Down Syndrome-Associated Alzheimer's DiseaseR01AG081394 · NIA · WASHINGTON UNIVERSITY · PI Jason J Hassenstab · 2023 to 2026
$6.0M
The Role of Inflammation and NGF Dysfunction in the Evolution of Alzheimer Disease Pathology in Down Syndrome-RevisionRF1AG056850 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI BUSCIGLIO, JORGE A, CUELLO, A CLAUDIO · 2018 to 2020
$5.9M
Clinical trials to prevent Alzheimer's Disease in Down SyndromeR61AG066543 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI RAFII, MICHAEL S · 2019 to 2020
$5.6M
Tau pathology in Down syndrome and Alzheimer'sRF1AG061566 · NIA · UNIVERSITY OF DENVER (COLORADO SEMINARY) · PI GRANHOLM-BENTLEY, ANN-CHARLOTTE ESTHER, MARGITTAI, MARTIN · 2019 to 2019
$3.4M
Optimizing CNS DHA delivery in elderly adults at risk for dementiaR01AG084834 · NIA · UNIVERSITY OF CINCINNATI · PI ROBERT KRIKORIAN, ROBERT K. MCNAMARA · 2024 to 2026
$2.2M
Development of Emergent PET Tracers in Frontotemporal Lobar DegenerationK23AG076960 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI David Nima Soleimani-Meigooni · 2022 to 2026
$951k
Biological Correlates of Alzheimer in Down Syndrome.R21AG056974 · NIA · UNIVERSITY OF DENVER (COLORADO SEMINARY) · PI GRANHOLM-BENTLEY, ANN-CHARLOTTE ESTHER · 2017 to 2018
$414k
NIA NIH HHS K23 AG076960NIA NIH HHS R01 AG073267NIA NIH HHS R01 AG081394NIA NIH HHS R01 AG084834NIA NIH HHS R21 AG056974NIA NIH HHS R61 AG066543NIA NIH HHS RF1 AG056850NIA NIH HHS RF1 AG061566NIA NIH HHS U01 AG016976NIA NIH HHS U24 AG021886
6 · The paper itself

Abstract

Background: Tau PET quantification typically requires structural MRI for reference-region definition, normalisation, and segmentation. We evaluated whether low-dose CT can serve as a reliable MRI alternative for tau PET quantification when MRI is unavailable. Methods: In this multicentre cross-sectional methods comparison study, we developed a PET-CT pipeline using low-dose CT as the sole anatomical reference for tau PET quantification. Participants were recruited from six sites in the multicentre Head-to-head Harmonisation of tau PET tracers (HEAD) study. The cohort comprised cognitively unimpaired (CU) young adults (<28 years), CU middle-aged adults (50-65 years), CU elderly (>65 years), and participants with mild cognitive impairment (MCI) or dementia. Participants underwent [ Findings: A total of 387 participants were included, with recruitment spanning from November 11, 2022 and July 7, 2025 (205 [53%] female, 182 [47%] male; 6 [2%] aged 19-25 years, 130 [34%] aged 50-65 years and 251 [65%] aged 66-89 years). Against the template-based PET-MR pipeline, CT-derived SUVRs showed near-perfect linear correspondence with the template-based PET-MR pipeline for MK6240 (R Interpretation: CT-only processing enables robust tau PET quantification comparable to standard MRI-based pipelines, including computationally intensive FreeSurfer-based approaches. This method was validated across different radiotracers and represents a reliable alternative when MRI is unavailable or contraindicated. Because low-dose CT is routinely acquired during PET-CT sessions, this approach enables quantification of legacy datasets lacking MRI, broadens participant inclusion in clinical trials, and may reduce imaging costs in settings where MRI is not clinically indicated.

Identifiers

PMID42877686
PMCPMC13662961

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.