Evidence map›Paper›PMID 34298775›Full record

ArticleCancers2021

Predicting Survival in Patients with Pancreatic Cancer by Integrating Bone Marrow FDG Uptake and Radiomic Features of Primary Tumor in PET/CT.

Jeong Won Lee, Sang-Heum Park, Hyein Ahn, Sang Mi Lee, Su Jin Jang

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% of its field
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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Peritumoral Adipose Tissue Features Derived from [Journal of personalized medicine · 2024
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  9. Prognostic value ofEsophagus : official journal of the Japan Esophageal Society · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Prognostic Value of Dual-Time-Point [Journal of personalized medicine · 2022
    Article
  17. Review
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 at 3 institutions in 1 country.

Jeong Won LeeDepartment of Nuclear Medicine, Catholic Kwandong University College of Medicine, International St. Mary's Hospital, Incheon 22711, Korea.ORCID 0000-0002-2697-3578
Sang-Heum ParkDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Soonchunhyang University Cheonan Hospital, Cheonan 31151, Korea.
Hyein AhnDepartment of Pathology, Soonchunhyang University Cheonan Hospital, Cheonan 31151, Korea.
Sang Mi LeeDepartment of Nuclear Medicine, Soonchunhyang University Cheonan Hospital, Cheonan 31151, Korea.ORCID 0000-0002-7943-3807
Su Jin JangDepartment of Nuclear Medicine, CHA Bundang Medical Center, CHA University, Seongnam-si 13496, Korea.
Soonchunhyang University · KRCatholic Kwandong University International St. Mary's Hospital · KRCHA University Bundang Medical Center · KR

Funding

Soonchunhyang University Soonchunhyang University Research Fund
6 · The paper itself

Abstract

The purpose of this study was to evaluate the prognostic significance of FDG uptake of bone marrow (BM SUV) and to investigate its role combined with radiomic features of primary tumors in improving the prediction of overall survival (OS) in patients with pancreatic cancer. We retrospectively enrolled 65 pancreatic cancer patients with staging FDG PET/CT. BM SUV and conventional imaging parameters of primary tumors including total lesion glycolysis (TLG) were measured. First-order and higher-order textural features of primary cancer were extracted using PET textural analysis. Associations of PET/CT parameters of bone marrow (BM) and primary cancer with OS were assessed. BM SUV as well as TLG and first-order entropy of pancreatic cancer were significant independent predictors of OS in multivariable analysis. A PET/CT scoring system based on the cumulative scores of these three independent predictors enabled patient stratification into three distinct prognostic groups. The scoring system yielded a good prognostic stratification based on subgroup analysis irrespective of tumor stage and treatment modality. BM SUV was an independent predictor of OS in pancreatic cancer patients. The PET/CT scoring system that integrated PET/CT parameters of primary tumors and BM can provide prognostic information in pancreatic cancer independent of tumor stage and treatment.

Indexed as

bone marrowFDG PET/CTpancreatic cancerprognosistexture analysis

Identifiers

PMID34298775
PMCPMC8304187
OpenAlexW3183248097

What OpenQuestion holds

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LicenceCC BY
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.