Evidence map›Paper›PMID 36139543›Full record

ArticleCancers2022

[F18]FDG PET/CT-Derived Metabolic and Volumetric Biomarkers Can Predict Response to Treatment in Locally Advanced Cervical Cancer Patients.

Ronit Gill, Roxolyana Abdah-Bortnyak, Amnon Amit, Uval Bar-Peled, Zohar Keidar

Abstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. A multiparameter diagnostic model based on 2-[Quantitative imaging in medicine and surgery · 2025
    Article
  3. The regulatory roles and clinical significance of glycolysis in tumor.Cancer communications (London, England) · 2024
    Review
  4. Frontiers in oncology · 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

5 authors.

Ronit GillNuclear Medicine Department, Rambam Health Care Campus, Haifa 3109601, Israel.
Roxolyana Abdah-BortnyakOncology Department, Rambam Health Care Campus, Haifa 3109601, Israel.
Amnon AmitBruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa 3200003, Israel.
Uval Bar-PeledBruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa 3200003, Israel.
Zohar KeidarNuclear Medicine Department, Rambam Health Care Campus, Haifa 3109601, Israel.ORCID 0000-0002-6057-778X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Purpose: Current study aimed at evaluating the relationship between quantitative metabolic and volumetric FDG PET/CT parameters and the response to definitive chemoradiation therapy in locally advanced cervical cancer patients; (2) Methods: Ninety newly diagnosed locally advanced cervical cancer patients (FIGO IB2-IVA) were investigated. All patients underwent PET/CT at staging and after treatment. Metabolic and volumetric parameters, including SUVmax, SUVmean, Total Lesion Glycolysis (TLG), and Metabolic Tumor Volume (MTV) of the primary tumor and metastatic lymph nodes were measured and compared between patients with and without complete metabolic response (CMR). A similar analysis was performed in a subgroup of FIGO IB2-IIB patients; (3) Results: SUVmax and SUVmean of the primary tumor as well as those of metastatic lymph nodes, MTV, and TLG were found to be significantly different between CMR and non-CMR patients. In a subgroup of patients with FIGO IB2-IIB disease, MTV and TLG identified women who will achieve CMR with a threshold of 31.1 cm

Indexed as

cervical cancerFDGMTVPET/CTTLG

Identifiers

PMID36139543
PMCPMC9496806

What OpenQuestion holds

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Registered trials

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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.