Evidence map›Paper›PMID 38562724›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Quantitative transport mapping of multi-delay arterial spin labeling MRI detects early blood perfusion alteration in Alzheimer's disease.

Yihao Guo, Liangdong Zhou, Yi Li, Gloria C Chiang, Tao Liu, Huijuan Chen, Weiyuan Huang, Mony J de Leon, Yi Wang, Feng Chen

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 2 countries.

Yihao GuoDepartment of Radiology, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou, China.
Liangdong ZhouDepartment of Radiology, Brain Health Imaging Institute (BHII), Weill Cornell Medicine, New York, New York, United States.
Yi LiDepartment of Radiology, Brain Health Imaging Institute (BHII), Weill Cornell Medicine, New York, New York, United States.
Gloria C ChiangDepartment of Radiology, Brain Health Imaging Institute (BHII), Weill Cornell Medicine, New York, New York, United States.
Tao LiuDepartment of Neurology, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou, China.
Huijuan ChenDepartment of Radiology, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou, China.
Weiyuan HuangDepartment of Radiology, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou, China.
Mony J de LeonDepartment of Radiology, Brain Health Imaging Institute (BHII), Weill Cornell Medicine, New York, New York, United States.
Yi WangDepartment of Radiology, MRI Research Institute (MRIRI), Weill Cornell Medicine, New York, New York, United States.
Feng ChenDepartment of Radiology, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou, China.
Hainan General Hospital · CNCornell University · USNewYork–Presbyterian Hospital · US

Funding

PET Measures of CSF Clearance in Preclinical Alzheimer's DiseaseRF1AG057570 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI DE LEON, MONY J. · 2017 to 2017
$4.1M
CSF Clearance in Sporadic Alzheimer's DiseaseR01AG057848 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI LI, YI · 2018 to 2023
$4.0M
Quantitative MRI-based cerebral oxygen metabolism in Alzheimer's diseaseR01AG080011 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI GLORIA Chia-Yi CHIANG, Yi Wang · 2023 to 2026
$3.3M
The effects of iron on oxidative stress and Alzheimer's biomarkers in amyloid-positive and negative elderly normalR01AG068398 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI CHIANG, GLORIA CHIA-YI · 2020 to 2024
$2.8M
Fluid mechanics approach to tissue perfusion quantification in MRIR01EB034755 · NIBIB · WEILL MEDICAL COLL OF CORNELL UNIV · PI Yi Wang · 2023 to 2026
$2.6M
CSF Clearance with 11C-Butanol PET Predicts Amyloid DepositionR56AG058913 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI DE LEON, MONY J., RUSINEK, HENRY · 2018 to 2018
$861k
NIA NIH HHS R01 AG057848NIA NIH HHS R01 AG068398NIA NIH HHS R01 AG080011NIA NIH HHS R56 AG058913NIA NIH HHS RF1 AG057570NIBIB NIH HHS R01 EB034755
6 · The paper itself

Abstract

Background: Quantitative transport mapping (QTM) of blood velocity, based on the transport equation has been demonstrated higher accuracy and sensitivity of perfusion quantification than the traditional Kety's method-based blood flow (Kety flow). This study aimed to investigate the associations between QTM velocity and cognitive function in Alzheimer's disease (AD) using multiple post-labeling delay arterial spin labeling (ASL) MRI. Methods: A total of 128 subjects (21 normal controls (NC), 80 patients with mild cognitive impairment (MCI), and 27 AD) were recruited prospectively. All participants underwent MRI examination and neuropsychological evaluation. QTM velocity and traditional Kety flow maps were computed from multiple delay ASL. Regional quantitative perfusion measurements were performed and compared to study group differences. We tested the hypothesis that cognition declines with reduced cerebral blood flow with consideration of age and gender effects. Results: In cortical gray matter (GM) and the hippocampus, QTM velocity and Kety flow showed decreased values in AD group compared to NC and MCI groups; QTM velocity, but not Kety flow, showed a significant difference between MCI and NC groups. QTM velocity and Kety flow showed values decreasing with age; QTM velocity, but not Kety flow, showed a significant gender difference between male and female. QTM velocity and Kety flow in the hippocampus were positively correlated with cognition, including global cognition, memory, executive function, and language function. Conclusion: This study demonstrated an increased sensitivity of QTM velocity as compared with the traditional Kety flow. Specifically, we observed only in QTM velocity, reduced perfusion velocity in GM and the hippocampus in MCI compared with NC. Both QTM velocity and Kety flow demonstrated reduction in AD vs controls. Decreased QTM velocity and Kety flow in the hippocampus were correlated with cognitive measures. These findings suggest QTM velocity as an improved biomarker for early AD blood flow alterations.

Indexed as

Alzheimer’s diseaseCerebral blood flow (CBF)cognitive functionearly detectionquantitative transport mapping (QTM)

Identifiers

PMID38562724
PMCPMC10984056
OpenAlexW4392939133

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LicenceCC BY-NC-ND
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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.