Evidence map›Paper›PMID 27186439›Full record

ArticleAmerican journal of nuclear medicine and molecular imaging2016

Prognostic value of FDG PET/CT-based metabolic tumor volumes in metastatic triple negative breast cancer patients.

Brett Marinelli, Carina Espinet-Col, Gary A Ulaner, Heather L McArthur, Mithat Gonen, Maxine Jochelson, Wolfgang A Weber

Abstract read
In one paragraph

Article in American 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, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 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, 2 syntheses or guidelines pooled it.

  1. The impact of PET imaging on triple negative breast cancer: an updated evidence-based perspective.European journal of nuclear medicine and molecular imaging · 2024
    Pooled it
  2. Pooled it
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  14. Prognostic significance ofAnnals of nuclear medicine · 2024
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  17. Article
  18. Heterogeneity derived fromCancer medicine · 2022
    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

7 authors.

Brett MarinelliMolecular Imaging and Therapy Service, Department of Radiology, Memorial Sloan Kettering Cancer Center1275 York Avenue, NY 10065, New York; Icahn School of Medicine at Mount SinaiOne Gustave Place, NY 10029, New York.
Carina Espinet-ColMolecular Imaging and Therapy Service, Department of Radiology, Memorial Sloan Kettering Cancer Center 1275 York Avenue, NY 10065, New York.
Gary A UlanerMolecular Imaging and Therapy Service, Department of Radiology, Memorial Sloan Kettering Cancer Center1275 York Avenue, NY 10065, New York; Weill Cornell Medical College1300 York Ave, NY 10065, New York.
Heather L McArthurBreast Medicine Service, Department of Medicine, Memorial Sloan Kettering Cancer Center 300 East 66th Street, NY 10065, New York.
Mithat GonenDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center 1275 York Avenue, NY 10065, New York.
Maxine JochelsonMolecular Imaging and Therapy Service, Department of Radiology, Memorial Sloan Kettering Cancer Center1275 York Avenue, NY 10065, New York; Breast Imaging Service, Department of Radiology, Memorial Sloan Kettering Cancer Center300 East 66th Street, NY 10065, New York.
Wolfgang A WeberMolecular Imaging and Therapy Service, Department of Radiology, Memorial Sloan Kettering Cancer Center 1275 York Avenue, NY 10065, New York.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

FDG PET/CT-based measures of tumor burden show promise to predict survival in patients with metastatic breast cancer, but the patient populations studied so far are heterogeneous. The reports may have been confounded by the markedly different prognosis of the various subtypes of breast cancer. The purpose of this study is to evaluate the correlation between tumor burden on FDG PET/CT and overall survival (OS) in patients within a defined population: metastatic triple negative breast cancer (MTNBC). FDG PET/CT scans of 47 consecutive MTNBC patients (54±12 years-old) with no other known malignancies were analyzed. A total 393 lesions were identified, and maximum standardized uptake value (SUVmax), mean SUV, metabolic tumor volume (MTV), total lesion number (TLN) and total lesion glycolysis (TLG), were measured and correlated with patient survival by Mantel-Cox tests and Cox regression analysis. At a median follow-up time of 12.4 months, 41 patients died with a median OS of 12.1 months. Patients with MTV less than 51.5 ml lived nearly three times longer (22 vs 7.1 months) than those with a higher MTV (χ(2)=21.3, P<0.0001). In a multivariate Cox regression analysis only TLN and MTV were significantly correlated with survival. Those with an MTV burden in the 75(th) percentile versus the 25(th) percentile had a hazard ratio of 6.94 (p=0.001). In patients with MTNBC, MTV appears to be a strong prognostic factor. If validated in prospective studies, MTV may be a valuable tool for risk stratification of MTNBC patients in clinical trials and to guide patient management.

Indexed as

breast cancer prognosisFDG PET/CTmetabolic tumor volumeTriple-negative metastatic breast cancer

Identifiers

PMID27186439
PMCPMC4858608

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.