Evidence map›Paper›PMID 37685551›Full record

ArticleJournal of clinical medicine2023

Clinical Utility of Pre-Therapeutic [18F]FDG PET/CT Imaging for Predicting Outcomes in Breast Cancer.

Sophia Najid, Romain-David Seban, Laurence Champion, Alexandre De Moura, Clara Sebbag, Hélène Salaün, Luc Cabel, Claire Bonneau

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Evaluation of prognostic risk factors of triple-negative breast cancer withFrontiers in cell and developmental biology · 2024
    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

8 authors.

Sophia NajidInstitut Curie, Inserm U900, 92210 Saint-Cloud, France.
Romain-David SebanDepartment of Nuclear Medicine, Institut Curie, 92210 Saint-Cloud, France.ORCID 0000-0002-2584-5478
Laurence ChampionDepartment of Nuclear Medicine, Institut Curie, 92210 Saint-Cloud, France.
Alexandre De MouraDepartment of Medical Oncology, Institut Curie, PSL Research University, 75005 Paris, France.
Clara SebbagDepartment of Medical Oncology, Institut Curie, PSL Research University, 75005 Paris, France.
Hélène SalaünDepartment of Medical Oncology, Institut Curie, PSL Research University, 75005 Paris, France.ORCID 0000-0002-4451-5546
Luc CabelDepartment of Medical Oncology, Institut Curie, PSL Research University, 75005 Paris, France.
Claire BonneauDepartment of Surgery, Institut Curie, 92210 Saint-Cloud, France.ORCID 0000-0001-6251-286X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background[18F]FDG PET/CT is used for staging and could also provide information associated with clinical outcomes. The objective of this study was to determine the clinical utility of biomarkers measured using [18F]FDG PET/CT to predict the absence of pathological complete response (no-pCR) and recurrence.

methodsIn this retrospective study, we included patients with non-special-type breast carcinoma who underwent [18F]FDG PET/CT before neoadjuvant chemotherapy between 2011 and 2019. Clinicopathological data were collected. Tumor SUVmax and total metabolic tumor volume (TMTV) were measured from PET images. The association between biomarkers and no-pCR was studied using logistic regression. The cut-off value was determined using the area under the ROC Curve. To predict 3-year recurrence-free survival (RFS), we used a multivariable Cox model, and the cut-off value was determined using time-dependent ROC and predictiveness curves.

resultsTwo hundred and eighty-six patients were included in the analysis. One hundred and twelve patients had a pCR (39.2%). The pCR rate was significantly higher in patients with a high nuclear grade (

conclusionHigh TMTV in pre-therapeutic imaging is associated with no-pCR and recurrence. It can help in identifying high-risk patients and be considered as an intensified or alternative adjuvant therapy for closely monitoring patients.

Indexed as

breast cancerneoadjuvant chemotherapypathological complete responsePET/CT imagingtotal metabolic tumor volume

Identifiers

PMID37685551
PMCPMC10488013

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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.