Evidence map›Paper›PMID 28417933›Full record

ReviewInternational journal of molecular sciences2017

Radiogenomic Analysis of Oncological Data: A Technical Survey.

Mariarosaria Incoronato, Marco Aiello, Teresa Infante, Carlo Cavaliere, Anna Maria Grimaldi, Peppino Mirabelli, Serena Monti, Marco Salvatore

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 5 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

83 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  5. TCGA-TCIA Impact on Radiogenomics Cancer Research: A Systematic Review.International journal of molecular sciences · 2019
    Pooled it
  6. Trial
  7. Article
  8. Associations between CT Radiomics Analyses and Hematopoietic Cell Mobilization in Patients with Multiple Myeloma: An Exploratory Analysis.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2026
    Article
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  12. Review
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23 more citing papers are in PubMed but not listed here.

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

8 authors.

Mariarosaria IncoronatoIRCCS SDN, Via E. Gianturco, 113, 80143 Naples, Italy. mincoronato@sdn-napoli.it.
Marco AielloIRCCS SDN, Via E. Gianturco, 113, 80143 Naples, Italy. maiello@sdn-napoli.it.
Teresa InfanteIRCCS SDN, Via E. Gianturco, 113, 80143 Naples, Italy. tinfante@sdn-napoli.it.
Carlo CavaliereIRCCS SDN, Via E. Gianturco, 113, 80143 Naples, Italy. ccavaliere@sdn-napoli.it.
Anna Maria GrimaldiIRCCS SDN, Via E. Gianturco, 113, 80143 Naples, Italy. agrimaldi@sdn-napoli.it.
Peppino MirabelliIRCCS SDN, Via E. Gianturco, 113, 80143 Naples, Italy. pmirabelli@sdn-napoli.it.
Serena MontiIRCCS SDN, Via E. Gianturco, 113, 80143 Naples, Italy. smonti@sdn-napoli.it.
Marco SalvatoreIRCCS SDN, Via E. Gianturco, 113, 80143 Naples, Italy. direzionescientifica@sdn-napoli.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the last few years, biomedical research has been boosted by the technological development of analytical instrumentation generating a large volume of data. Such information has increased in complexity from basic (i.e., blood samples) to extensive sets encompassing many aspects of a subject phenotype, and now rapidly extending into genetic and, more recently, radiomic information. Radiogenomics integrates both aspects, investigating the relationship between imaging features and gene expression. From a methodological point of view, radiogenomics takes advantage of non-conventional data analysis techniques that reveal meaningful information for decision-support in cancer diagnosis and treatment. This survey is aimed to review the state-of-the-art techniques employed in radiomics and genomics with special focus on analysis methods based on molecular and multimodal probes. The impact of single and combined techniques will be discussed in light of their suitability in correlation and predictive studies of specific oncologic diseases.

Indexed as

AlgorithmsComputational BiologyData MiningDiagnostic ImagingGenomicsHigh-Throughput Nucleotide SequencingHumansImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedMagnetic Resonance ImagingNeoplasmsPositron-Emission TomographyTomography, X-Ray Computedcancercorrelation matrixdata miningmicroarraymolecular imagingMRNGS technologiesradiogenomicstexture analysis

Identifiers

PMID28417933
PMCPMC5412389

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.