Evidence map›Paper›PMID 35682758›Full record

ReviewInternational journal of molecular sciences2022

Neuroimaging Modalities in Alzheimer's Disease: Diagnosis and Clinical Features.

JunHyun Kim, Minhong Jeong, Wesley R Stiles, Hak Soo Choi

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 4 pooled it
–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

58 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Review
  6. Article
  7. Article
  8. Neuroimaging PheWAS and molecular phenotyping implicate PSMC3 in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Flexible Multimodal Neuroimaging Fusion for Alzheimer's Disease Progression Prediction.Applications of medical artificial intelligence. AMAI (Workshop) (4th : 2024 : Taejon-si, Korea) · 2026
    Article
  14. Adaptive Integration of Incomplete Multimodal 3D Neuroimaging for Alzheimer's Prediction and Biomarker Discovery.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2026
    Article
  15. Article
  16. Review
  17. Neuroimaging PheWAS and molecular phenotyping implicatemedRxiv : the preprint server for health sciences · 2025
    Article
  18. Article
  19. Review
  20. BrainEpilepsia · 2025
    Article
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

4 authors.

JunHyun KimGordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.ORCID 0000-0002-8765-2620
Minhong JeongGordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.
Wesley R StilesGordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.
Hak Soo ChoiGordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.ORCID 0000-0002-7982-6483

Funding

Image-Guided Drug Delivery for Pancreatic Neuroendocrine Tumor.R01EB022230 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI CHOI, HAK SOO, HENARY, MAGED M · 2017 to 2020
$3.6M
Nanochelation Therapies for Iron Overload DisordersR01HL143020 · NHLBI · UNIVERSITY OF MASSACHUSETTS LOWELL · PI CHOI, HAK SOO, KIM, JONGHAN · 2018 to 2021
$2.6M
Ministry of Health and Welfare HI19C1085National Research Foundation of Korea 2019M3D1A1078938National Research Foundation of Korea 2022R1A2B5B01002377NHLBI NIH HHS R01 HL143020NIBIB NIH HHS R01 EB022230NIBIB NIH HHS R01EB022230
6 · The paper itself

Abstract

Alzheimer's disease (AD) is a neurodegenerative disease causing progressive cognitive decline until eventual death. AD affects millions of individuals worldwide in the absence of effective treatment options, and its clinical causes are still uncertain. The onset of dementia symptoms indicates severe neurodegeneration has already taken place. Therefore, AD diagnosis at an early stage is essential as it results in more effective therapy to slow its progression. The current clinical diagnosis of AD relies on mental examinations and brain imaging to determine whether patients meet diagnostic criteria, and biomedical research focuses on finding associated biomarkers by using neuroimaging techniques. Multiple clinical brain imaging modalities emerged as potential techniques to study AD, showing a range of capacity in their preciseness to identify the disease. This review presents the advantages and limitations of brain imaging modalities for AD diagnosis and discusses their clinical value.

Indexed as

Alzheimer DiseaseCognitive DysfunctionNeurodegenerative DiseasesBiomarkersBrainDisease ProgressionHumansNeuroimagingBiomarkersAlzheimer’s diseasebrain imagingearly diagnosismultimodal imagingneuroimagingpreclinical biomarkers

Identifiers

PMID35682758
PMCPMC9181385

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.