Evidence map›Paper›PMID 26758726›Full record

ReviewEuropean journal of nuclear medicine and molecular imaging2016

¹⁸F-FDG PET/CT in the early prediction of pathological response in aggressive subtypes of breast cancer: review of the literature and recommendations for use in clinical trials.

David Groheux, David Mankoff, Marc Espié, Elif Hindié

Abstract readReview
PubMed Publisher
In one paragraph

Review in European journal of nuclear medicine and molecular imaging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 3 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

38 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Joint EANM-SNMMI guideline on the role of 2-[European journal of nuclear medicine and molecular imaging · 2024
    Guideline
  2. Prognostic value ofBreast cancer research : BCR · 2020
    Pooled it
  3. Pooled it
  4. Trial
  5. BaselineLa Radiologia medica · 2025
    Article
  6. Comparative analysis of metabolic characteristics and prognostic stratification of HER2-low and HER2-zero breast cancer usingCancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Article
  7. Review
  8. Article
  9. Radiology. Imaging cancer · 2024
    Article
  10. Review
  11. Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Novel applications of molecular imaging to guide breast cancer therapy.Cancer imaging : the official publication of the International Cancer Imaging Society · 2022
    Review
  19. 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

4 authors.

David GroheuxDepartment of Nuclear Medicine, Saint-Louis Hospital, 1 avenue Claude Vellefaux, 75475, Paris Cedex 10, France. dgroheux@yahoo.fr.
David MankoffDepartment of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA.
Marc EspiéUniversity Paris-Diderot, PRES Paris Cité, INSERM/CNRS UMR944/7212, Paris, France.
Elif HindiéDepartment of Nuclear Medicine, Haut-Lévêque Hospital, University of Bordeaux, Bordeaux, France.

Funding

UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI SHELLEY L BERGER · 1985 to 2026
$222.3M
NCI NIH HHS P30 CA016520
6 · The paper itself

Abstract

Early assessment of response to neoadjuvant chemotherapy (NAC) might be helpful in avoiding the toxicity of ineffective chemotherapy and allowing refinement of treatment. We conducted a review of the literature regarding the applicability of (18)F-FDG PET/CT to the prediction of an early pathological response in different subgroups of breast cancer. Clinical research in this field has intensified in the last few years. Early studies by various groups have shown the potential of (18)F-FDG PET/CT in the early assessment of response to NAC. However, interim PET/CT in breast cancer has not yet gained wide acceptance compared to its use in other settings such as lymphomas. This is in part due to a lack of consensus that early evaluation of response can be used to direct change in therapy in the neoadjuvant breast cancer setting, and only limited data showing that response-adaptive therapy leads to improved outcomes. However, one major element that has hampered the use of (18)F-FDG PET/CT in directing neoadjuvant therapy is its evaluation in populations with mixed subtypes of breast cancer. However, major improvements have occurred in recent years. Pilot studies have highlighted the need for considering breast cancer subtype and the type of treatment, and have offered criteria for the use of PET/CT for the early prediction of response in specific settings. (18)F-FDG PET/CT has considerable potential for the early prediction of pathological complete response to NAC in aggressive subtypes such as triple-negative or HER2-positive breast cancers. The results of a multicentre trial that used early metabolic response on (18)F-FDG PET/CT as a means to select poor responders to adapt neoadjuvant treatment have recently been published. Other trials are ongoing or being planned.

Indexed as

Clinical Trials as TopicPractice Guidelines as TopicAntineoplastic AgentsBreast NeoplasmsFemaleFluorodeoxyglucose F18HumansPositron Emission Tomography Computed TomographyRadiopharmaceuticalsAntineoplastic AgentsFluorodeoxyglucose F18Radiopharmaceuticals18F-FDG PET/CTHER2-positive breast cancerNeoadjuvant treatmentPathological complete responsePrognosisTreatment response assessmentTriple-negative breast cancer

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.