Evidence map›Paper›PMID 36872413›Full record

ArticleEuropean journal of hybrid imaging2023

Prognostic analysis of curatively resected pancreatic cancer using harmonized positron emission tomography radiomic features.

Masao Watanabe, Ryo Ashida, Chisato Miyakoshi, Shigeki Arizono, Tsuyoshi Suga, Shotaro Kanao, Koji Kitamura, Takahisa Ogawa, Reiichi Ishikura

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in European journal of hybrid imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

9 authors at 3 institutions in 2 countries.

Masao WatanabeDepartment of Diagnostic Radiology, Kobe City Medical Center General Hospital, 2-1-1 Minatojima Minamimachi, Chuo-Ku, Kobe, 650-0047, Japan. d7he4ng@gmail.com.
Ryo AshidaDepartment of Therapeutic Radiology, Kobe City Medical Center General Hospital, 2-1-1 Minatojima Minamimachi, Chuo-Ku, Kobe, 650-0047, Japan.
Chisato MiyakoshiDepartment of Research Support, Center for Clinical Research and Innovation, Kobe City Medical Center General Hospital, 2-1-1 Minatojima Minamimachi, Chuo-Ku, Kobe, 650-0047, Japan.
Shigeki ArizonoDepartment of Diagnostic Radiology, Kobe City Medical Center General Hospital, 2-1-1 Minatojima Minamimachi, Chuo-Ku, Kobe, 650-0047, Japan.
Tsuyoshi SugaDepartment of Diagnostic Radiology, Kobe City Medical Center General Hospital, 2-1-1 Minatojima Minamimachi, Chuo-Ku, Kobe, 650-0047, Japan.
Shotaro KanaoDepartment of Diagnostic Radiology, Kobe City Medical Center General Hospital, 2-1-1 Minatojima Minamimachi, Chuo-Ku, Kobe, 650-0047, Japan.
Koji KitamuraDepartment of Surgery, Kobe City Medical Center General Hospital, 2-1-1 Minatojima Minamimachi, Chuo-Ku, Kobe, 650-0047, Japan.
Takahisa OgawaDepartment of Orthopaedics and Spine Surgery, Graduate School, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-Ku, Tokyo, 113-8519, Japan.
Reiichi IshikuraDepartment of Diagnostic Radiology, Kobe City Medical Center General Hospital, 2-1-1 Minatojima Minamimachi, Chuo-Ku, Kobe, 650-0047, Japan.
Kobe City Medical Center General Hospital · JPEssen University Hospital · DETokyo Medical and Dental University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTexture features reflecting tumour heterogeneity enable us to investigate prognostic factors. The R package ComBat can harmonize the quantitative texture features among several positron emission tomography (PET) scanners. We aimed to identify prognostic factors among harmonized PET radiomic features and clinical information from pancreatic cancer patients who underwent curative surgery.

methodsFifty-eight patients underwent preoperative enhanced dynamic computed tomography (CT) scanning and fluorodeoxyglucose PET/CT using four PET scanners. Using LIFEx software, we measured PET radiomic parameters including texture features with higher order and harmonized these PET parameters. For progression-free survival (PFS) and overall survival (OS), we evaluated clinical information, including age, TNM stage, and neural invasion, and the harmonized PET radiomic features based on univariate Cox proportional hazard regression. Next, we analysed the prognostic indices by multivariate Cox proportional hazard regression (1) by using either significant (p < 0.05) or borderline significant (p = 0.05-0.10) indices in the univariate analysis (first multivariate analysis) or (2) by using the selected features with random forest algorithms (second multivariate analysis). Finally, we checked these multivariate results by log-rank test.

resultsRegarding the first multivariate analysis for PFS after univariate analysis, age was the significant prognostic factor (p = 0.020), and MTV and GLCM contrast were borderline significant (p = 0.051 and 0.075, respectively). Regarding the first multivariate analysis of OS, neural invasion, Shape sphericity and GLZLM LZLGE were significant (p = 0.019, 0.042 and 0.0076). In the second multivariate analysis, only MTV was significant (p = 0.046) for PFS, whereas GLZLM LZLGE was significant (p = 0.047), and Shape sphericity was borderline significant (p = 0.088) for OS. In the log-rank test, age, MTV and GLCM contrast were borderline significant for PFS (p = 0.08, 0.06 and 0.07, respectively), whereas neural invasion and Shape sphericity were significant (p = 0.03 and 0.04, respectively), and GLZLM LZLGE was borderline significant for OS (p = 0.08).

conclusionsOther than the clinical factors, MTV and GLCM contrast for PFS and Shape sphericity and GLZLM LZLGE for OS may be prognostic PET parameters. A prospective multicentre study with a larger sample size may be warranted.

Indexed as

Complete surgeryFDG PET/CTHarmonizationOverall survivalPancreatic cancerPET radiomicsProgression-free survivalRandom forest

Identifiers

PMID36872413
PMCPMC9986192
OpenAlexW4323256734

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.