Evidence map›Paper›PMID 28711994›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2017

[

Lidija Antunovic, Francesca Gallivanone, Martina Sollini, Andrea Sagona, Alessandra Invento, Giulia Manfrinato, Margarita Kirienko, Corrado Tinterri, Arturo Chiti, Isabella Castiglioni

Abstract read
PubMed Publisher
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

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

  1. Pooled it
  2. Association ofMolecular imaging and radionuclide therapy · 2026
    Article
  3. Article
  4. Hybrid [Bioengineering (Basel, Switzerland) · 2026
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  5. Article
  6. Article
  7. Comparison between [EJNMMI research · 2026
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Frontiers in oncology · 2023
    Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Can Radiomics Analyses inMolecular imaging and radionuclide therapy · 2022
    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

10 authors.

Lidija AntunovicNuclear Medicine Department, Humanitas Research Hospital, Via A. Manzoni 56, 20089, Rozzano, Milan, Italy.
Francesca GallivanoneLaboratory of Innovation and Integration in Molecular Medicine, Institute of Molecular Bioimaging and Physiology, National Research Council, Via F. Cervi 93, 20090, Segrate, Milan, Italy.
Martina SolliniDepartment of Biomedical Sciences, Humanitas University, Via A. Manzoni 113, 20089, Rozzano, Milan, Italy.
Andrea SagonaBreast Unit, Humanitas Research Hospital, Via A. Manzoni 56, 20089, Rozzano, Milan, Italy.
Alessandra InventoBreast Unit, Integrated University Hospital, Piazzale A. Stefani 1, Borgo Trento, 37126, Verona, Italy.
Giulia ManfrinatoResidency Program in Nuclear Medicine, University of Milan, Via A. di Rudini 8, 20100, Milan, Italy.
Margarita KirienkoDepartment of Biomedical Sciences, Humanitas University, Via A. Manzoni 113, 20089, Rozzano, Milan, Italy.
Corrado TinterriBreast Unit, Humanitas Research Hospital, Via A. Manzoni 56, 20089, Rozzano, Milan, Italy.
Arturo ChitiNuclear Medicine Department, Humanitas Research Hospital, Via A. Manzoni 56, 20089, Rozzano, Milan, Italy. arturo.chiti@hunimed.eu.ORCID http://orcid.org/0000-0002-5806-1856
Isabella CastiglioniLaboratory of Innovation and Integration in Molecular Medicine, Institute of Molecular Bioimaging and Physiology, National Research Council, Via F. Cervi 93, 20090, Segrate, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this study was to evaluate the role of imaging features derived from [

methodsImages from 43 patients with a first diagnosis of BC were reviewed. Images were acquired before any treatment. Histological data were derived from pretreatment biopsy or surgical histological specimen; these included tumor type, grade, ER and PgR receptor status, lymphovascular invasion, Ki67 index, HER2 status, and molecular subtype. Standard parameters (SUV

resultsA significant correlation was found between some advanced imaging features and the histological type. Different molecular subtypes were characterized by different values of two histogram-based features (median and energy). A significant association was observed between the imaging signature and luminal A and luminal B HER2 negative molecular subtype and also when considering luminal A, luminal B HER2-negative and HER2-positive groups. Similar results were found between the signature and all five molecular subtypes and also when considering the histological types of BC.

conclusionsOur results suggest a complementary role of standard PET imaging parameters and advanced imaging features for the in vivo biological characterization of BC lesions.

Indexed as

Fluorodeoxyglucose F18Positron Emission Tomography Computed TomographyAdultBreast NeoplasmsFemaleHumansMiddle AgedFluorodeoxyglucose F18[18F]FDG-pet/CtBreast cancerRadiomics

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.