Evidence map›Paper›PMID 31428998›Full record

ArticleAging clinical and experimental research2021

Radiomics approach in the neurodegenerative brain.

Christian Salvatore, Isabella Castiglioni, Antonio Cerasa

Abstract read
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In one paragraph

Article in Aging clinical and experimental research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Article
  3. Personalized prevention of neurodegenerative diseases: scoping review and evidence gap map.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  4. Review
  5. Article
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  12. Review
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  15. Article
  16. Review
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  18. Radiomics insight into the neurodegenerative "Frontiers in nuclear medicine · 2023
    Review
  19. Article
  20. 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

3 authors.

Christian SalvatoreInstitute of Molecular Bioimaging and Physiology, National Research Council (IBFM-CNR), Milan, Italy.
Isabella CastiglioniInstitute of Molecular Bioimaging and Physiology, National Research Council (IBFM-CNR), Milan, Italy. isabella.castiglioni@ibfm.cnr.it.
Antonio CerasaResearch in Advanced Neurorehabilitation, S. Anna Institute, Crotone, Italy. a.cerasa@unicz.it.ORCID http://orcid.org/0000-0002-8022-4770

Funding

MIUR 2867 25.11.2011
6 · The paper itself

Abstract

As claimed by Robert Gilles et al., "Images are more than pictures, they are data". This statement refers to the power of imaging to provide large amounts of quantitative features for improving diagnosis, prognosis and therapy response. The conversion of digital medical images into high-dimensional mineable data is called radiomics. Radiomics analysis is based on data-characterisation algorithms which have the potential to uncover disease heterogeneity characteristics that might escape from the expert evaluation. This method has been widely applied in oncology and genetic fields, while the literature on neurodegenerative disorders is in its relative infancy. Here, we provide a preliminary evaluation of the main results reached applying radiomics analyses on well-established MRI features of patients with Alzheimer's Disease and Parkinson's disease.

Indexed as

Alzheimer DiseaseParkinson DiseaseAlgorithmsBrainHumansMagnetic Resonance ImagingAlzheimer’s diseaseNeuroimagingParkinson’s diseaseRadiomics

Identifiers

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.