Evidence map›Paper›PMID 28208155›Full record

ArticleBritish journal of cancer2017

PET/MR in invasive ductal breast cancer: correlation between imaging markers and histological phenotype.

Onofrio Antonio Catalano, Gary Lloyd Horn, Alberto Signore, Carlo Iannace, Maria Lepore, Mark Vangel, Angelo Luongo, Marco Catalano, Constance Lehman, Marco Salvatore and 4 more

Open access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 16% of its field
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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 65 citations in OpenAlex.

  1. Joint EANM-SNMMI guideline on the role of 2-[European journal of nuclear medicine and molecular imaging · 2024
    Guideline
  2. Pooled it
  3. Article
  4. Hybrid [Bioengineering (Basel, Switzerland) · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Breast PET/MRI Hybrid Imaging and Targeted Tracers.Journal of magnetic resonance imaging : JMRI · 2023
    Review
  14. Review
  15. Article
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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

14 authors at 8 institutions in 2 countries.

Onofrio Antonio CatalanoMartinos Center for Biomedical Imaging, Harvard Medical School, Massachusetts General Hospital, 149 13th Street, Charlestown, MA 02129, USA.
Gary Lloyd HornDepartment of Radiology, University of Texas Medical Branch, 301 University Boulevard, Galveston, TX 77555, USA.
Alberto SignoreNuclear Medicine Unit, University of Rome 'La Sapienza', Viale del Policlinico 5, Rome 00161, Italy.
Carlo IannaceBreast Unit, Ospedale Moscati, Avellino 83010, Italy.
Maria LeporeDepartment of Pathology, Ospedale Moscati, Avellino 83010, Italy.
Mark VangelDepartment of Biostatistics, Martinos Center for Biomedical Imaging, Harvard Medical School, Massachusetts General Hospital, 149 13th Street, Charlestown, MA 02129, USA.
Angelo LuongoDepartment of Radiology, Gamma Cord, Benevento 82100, Italy.
Marco CatalanoDepartment of Radiology, University of Naples 'Federico II', Napoli 80131, Italy.
Constance LehmanBreast Imaging, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA 02114, USA.
Marco SalvatoreDiagnostic Imaging, SDN, Via Gianturco 113, Napoli 80131, Italy.
Andrea SoricelliDiagnostic Imaging, University of Naples 'Parthenope', Napoli 80131, Italy.
Ciprian CatanaDepartment of Radiology, Martinos Center for Biomedical Imaging, Harvard Medical School, Massachusetts General Hospital, 149 13th Street, Charlestown, MA 02129, USA.
Umar MahmoodPrecision Medicine and Radiology, Harvard Medical School, Martinos Center for Biomedical Imaging, Massachusetts General Hospital, 149 13th Street, Charlestown, MA 02129, USA.
Bruce Robert RosenDepartment of Radiology, Martinos Center for Biomedical Imaging, Harvard Medical School, Massachusetts General Hospital, 149 13th Street, Charlestown, MA 02129, USA.
Athinoula A. Martinos Center for Biomedical Imaging · USAzienda Ospedaliera S.Giuseppe Moscati · ITHarvard University · USMassachusetts General Hospital · USParthenope University of Naples · ITSDN Istituto di Ricerca Diagnostica e Nucleare · ITThe University of Texas Medical Branch at Galveston · USUniversity of Naples Federico II · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDifferences in genetics and receptor expression (phenotypes) of invasive ductal breast cancer (IDC) impact on prognosis and treatment response. Immunohistochemistry (IHC), the most used technique for IDC phenotyping, has some limitations including its invasiveness. We explored the possibility of contrast-enhanced positron emission tomography magnetic resonance (CE-FDG PET/MR) to discriminate IDC phenotypes.

methods21 IDC patients with IHC assessment of oestrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor-2 (HER2), and antigen Ki-67 (Ki67) underwent CE-FDG PET/MR. Magnetic resonance-perfusion biomarkers, apparent diffusion coefficient (ADC), and standard uptake value (SUV) were compared with IHC markers and phenotypes, using a Student's t-test and one-way ANOVA.

resultsER/PR- tumours demonstrated higher Kep

conclusionsPositron emission tomography magnetic resonance might non-invasively help discriminate IDC phenotypes, helping to optimise individual therapy options.

Indexed as

AdolescentAdultAgedBiomarkers, TumorBreast NeoplasmsCarcinoma, Ductal, BreastDiffusion Magnetic Resonance ImagingErb-b2 Receptor Tyrosine KinasesFemaleFluorodeoxyglucose F18Follow-Up StudiesHumansKi-67 AntigenMiddle AgedMultimodal ImagingNeoplasm StagingBiomarkers, TumorErb-b2 Receptor Tyrosine KinasesFluorodeoxyglucose F18Ki-67 AntigenRadiopharmaceuticalsReceptors, EstrogenReceptors, Progesterone

Identifiers

PMID28208155
PMCPMC5379139
OpenAlexW2588061738

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.