Evidence map›Paper›PMID 30830470›Full record

ReviewInsights into imaging2019

How clinical imaging can assess cancer biology.

Roberto García-Figueiras, Sandra Baleato-González, Anwar R Padhani, Antonio Luna-Alcalá, Juan Antonio Vallejo-Casas, Evis Sala, Joan C Vilanova, Dow-Mu Koh, Michel Herranz-Carnero, Herbert Alberto Vargas

Abstract readReview
In one paragraph

Review in Insights into imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 1 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

62 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Liver metastases beyond classical imaging findings.Abdominal radiology (New York) · 2026
    Review
  4. Article
  5. Review
  6. Bioelectronics forNanotheranostics · 2026
    Review
  7. Review
  8. Article
  9. Colorectal cancer liver metastases: A radiologic point of view.World journal of gastrointestinal oncology · 2025
    Article
  10. Article
  11. In Vivo and Post-mortem Comparisons of IVIM/Time-dependent Diffusion MR Imaging Parameters in Melanoma and Breast Cancer Xenograft Models.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025
    Article
  12. Review
  13. Prognostic significance of Standard Uptake Value (SUVAbdominal radiology (New York) · 2025
    Article
  14. Article
  15. Review
  16. Review
  17. Review
  18. Review
  19. Article
  20. Article

2 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

10 authors.

Roberto García-FigueirasDepartment of Radiology, Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706, Santiago de Compostela, Spain. roberto.garcia.figueiras@sergas.es.
Sandra Baleato-GonzálezDepartment of Radiology, Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706, Santiago de Compostela, Spain.
Anwar R PadhaniPaul Strickland Scanner Centre, Mount Vernon Cancer Centre, Northwood, Middlesex, England, HA6 2RN, UK.
Antonio Luna-AlcaláDepartment of Radiology, University Hospitals of Cleveland, Case Western Reserve University, Cleveland, OH, USA.
Juan Antonio Vallejo-CasasUnidad de Gestión Clínica de Medicina Nuclear. IMIBIC. Hospital Reina Sofía. Universidad de Córdoba, Córdoba, Spain.
Evis SalaDepartment of Radiology and Cancer Research UK Cambridge Center, Cambridge, CB2 0QQ, UK.
Joan C VilanovaDepartment of Radiology, Clínica Girona and IDI, Lorenzana 36, 17002, Girona, Spain.
Dow-Mu KohDepartment of Radiology, Royal Marsden Hospital & Institute of Cancer Research, Fulham Road, London, SW3 6JJ, UK.
Michel Herranz-CarneroNuclear Medicine Department, Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706, Santiago de Compostela, Galicia, Spain.
Herbert Alberto VargasDepartment of Radiology, Memorial Sloan-Kettering Cancer Center, Radiology, 1275 York Av. Radiology Academic Offices C-278, New York, NY, 10065, USA.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Human cancers represent complex structures, which display substantial inter- and intratumor heterogeneity in their genetic expression and phenotypic features. However, cancers usually exhibit characteristic structural, physiologic, and molecular features and display specific biological capabilities named hallmarks. Many of these tumor traits are imageable through different imaging techniques. Imaging is able to spatially map key cancer features and tumor heterogeneity improving tumor diagnosis, characterization, and management. This paper aims to summarize the current and emerging applications of imaging in tumor biology assessment.

Indexed as

Multimodal imagingNeoplasmsPhenotype

Identifiers

PMID30830470
PMCPMC6399375

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.