Evidence map›Paper›PMID 31598114›Full record

ReviewContrast media & molecular imaging2019

Preclinical Molecular Imaging for Precision Medicine in Breast Cancer Mouse Models.

M F Fiordelisi, L Auletta, L Meomartino, L Basso, G Fatone, M Salvatore, M Mancini, A Greco

Open access · hybridAbstract readReview
In one paragraph

Review in Contrast media & molecular imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

20 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Contrast-enhanced photon-counting micro-CT of tumor xenograft models.bioRxiv : the preprint server for biology · 2024
    Article
  10. Sensitive, non-immunogenicCell stress · 2023
    Article
  11. Article
  12. Translating a radiolabeled imaging agent to the clinic.Advanced drug delivery reviews · 2022
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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 at 2 institutions in 1 country.

M F FiordelisiIRCCS SDN, Napoli, Italy.
L AulettaIRCCS SDN, Napoli, Italy.ORCID 0000-0002-1624-4240
L MeomartinoCentro Interdipartimentale di Radiologia Veterinaria, Università degli Studi di Napoli Federico II, Naples, Italy.
L BassoIRCCS SDN, Napoli, Italy.
G FatoneDipartimento di Medicina Veterinaria e Produzioni animali, Università degli Studi di Napoli Federico II, Naples, Italy.
M SalvatoreIRCCS SDN, Napoli, Italy.
M ManciniIBB CNR, Napoli, Italy.
A GrecoCentro Interdipartimentale di Radiologia Veterinaria, Università degli Studi di Napoli Federico II, Naples, Italy.ORCID 0000-0001-6841-1963
SDN Istituto di Ricerca Diagnostica e Nucleare · ITUniversity of Naples Federico II · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Precision and personalized medicine is gaining importance in modern clinical medicine, as it aims to improve diagnostic precision and to reduce consequent therapeutic failures. In this regard, prior to use in human trials, animal models can help evaluate novel imaging approaches and therapeutic strategies and can help discover new biomarkers. Breast cancer is the most common malignancy in women worldwide, accounting for 25% of cases of all cancers and is responsible for approximately 500,000 deaths per year. Thus, it is important to identify accurate biomarkers for precise stratification of affected patients and for early detection of responsiveness to the selected therapeutic protocol. This review aims to summarize the latest advancements in preclinical molecular imaging in breast cancer mouse models. Positron emission tomography (PET) imaging remains one of the most common preclinical techniques used to evaluate biomarker expression

Indexed as

RadiopharmaceuticalsAnimalsAntineoplastic AgentsBreast NeoplasmsCell Line, TumorDiagnostic ImagingDrug Resistance, NeoplasmErb-b2 Receptor Tyrosine KinasesEstrogensFemaleForecastingHumansMiceMice, KnockoutMolecular ImagingNeoplasm Proteinsaffibody (ZHER2-342)2Antineoplastic AgentsERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesEstrogensNeoplasm ProteinsProgesteroneRadiopharmaceuticalsRecombinant Fusion ProteinsStat1 protein, mouseSTAT1 Transcription FactorTrastuzumab

Identifiers

PMID31598114
PMCPMC6778915
OpenAlexW2974510148

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.