Evidence map›Paper›PMID 34007206›Full record

ArticleInternational journal of general medicine2021

Prediction of Pretreatment 18F-FDG-PET/CT Parameters on the Outcome of First-Line Therapy in Patients with Metastatic Breast Cancer.

Yi Li, Cheng Liu, Bibo Wang, Xichun Hu, Chengcheng Gong, Yannan Zhao, Yizhao Xie, Yingjian Zhang, Shaoli Song, Zhongyi Yang and 1 more

Abstract read
In one paragraph

Article in International journal of general medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. The Role of Estrogen Receptor-Targeted PET with 16α-Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026
    Pooled it
  2. Head-to-head study of [BMC cancer · 2024
    Trial
  3. Article
  4. Article
  5. Article
  6. Annals of nuclear medicine · 2023
    Article
  7. Article
  8. PretreatmentCancer imaging : the official publication of the International Cancer Imaging Society · 2023
    Article
  9. Evaluation of tumour heterogeneity byBreast cancer research : BCR · 2022
    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

11 authors.

Yi Li *Department of Medical Oncology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
Cheng Liu *Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China.
Bibo Wang *Orthopaedic Department, Shanghai Ruijin Hospital, Shanghai Jiaotong University Medicine School, Shanghai, People's Republic of China.
Xichun HuDepartment of Medical Oncology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
Chengcheng GongDepartment of Medical Oncology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
Yannan ZhaoDepartment of Medical Oncology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
Yizhao XieDepartment of Medical Oncology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
Yingjian ZhangDepartment of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China.
Shaoli SongDepartment of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China.
Zhongyi YangDepartment of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China.
Biyun WangDepartment of Medical Oncology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objective18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG-PET/CT) can provide prognostic information, especially 18F-FDG uptake has been proven to be a predictor for the prognosis of various tumors. Nevertheless, the prognosis of other PET parameters in the metastatic setting remains unclear. This study was aimed at investigating pretreatment parameters based on 18F-FDG-PET/CT so as to estimate the progression-free survival (PFS) of metastatic breast cancer (MBC) patients receiving first-line treatment.

methodsMBC patients who underwent a whole-body 18F-FDG-PET/CT prior to first-line therapy were enrolled. The heterogeneity parameter of PET/CT was analyzed, including heterogeneity index (HI) and general parameters (metabolic tumor volume (MTV), total lesion glycolysis (TLG), maximum standardized uptake value (SUVmax) and mean SUV (SUVmean). PFS was used to evaluate the treatment outcome. Kaplan-Meier method was adopted to carry out survival analysis and Log rank test was conducted to make a comparison.

resultsA total of 177 MBC patients were selected, in which 68 were in De novo stage IV. Thirty patients were human epidermal growth factor receptor 2 (HER2)-positive, 60 patients were triple-negative, and 87 patients were hormone receptor (HR)-positive and HER2-negative. In the whole population, patients with high baseline SUVmax, SUVmean, MTV, TLG or HI were associated with lower PFS (

conclusionPretreatment 18F-FDG-PET/CT parameters show the predictive value of PFS in MBC patients receiving first-line treatment. However, predictive PET/CT parameters might be different in patients with different molecular subtypes and De novo stage IV.

Indexed as

FDG-PET/CTmetastatic breast cancermolecular subtypesparameterprognosis

Identifiers

PMID34007206
PMCPMC8123971

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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.