Evidence map›Paper›PMID 33540589›Full record

ArticleJournal of clinical medicine2021

An MRI-Based Radiomic Prognostic Index Predicts Poor Outcome and Specific Genetic Alterations in Endometrial Cancer.

Havjin Jacob, Julie A Dybvik, Sigmund Ytre-Hauge, Kristine E Fasmer, Erling A Hoivik, Jone Trovik, Camilla Krakstad, Ingfrid S Haldorsen

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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

8 authors.

Havjin JacobSection of Radiology, Department of Clinical Medicine, University of Bergen, 5020 Bergen, Norway.
Julie A DybvikSection of Radiology, Department of Clinical Medicine, University of Bergen, 5020 Bergen, Norway.ORCID 0000-0003-1377-4999
Sigmund Ytre-HaugeSection of Radiology, Department of Clinical Medicine, University of Bergen, 5020 Bergen, Norway.
Kristine E FasmerSection of Radiology, Department of Clinical Medicine, University of Bergen, 5020 Bergen, Norway.
Erling A HoivikCentre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway.
Jone TrovikCentre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway.
Camilla KrakstadCentre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway.ORCID 0000-0002-0174-8139
Ingfrid S HaldorsenSection of Radiology, Department of Clinical Medicine, University of Bergen, 5020 Bergen, Norway.ORCID 0000-0001-9313-7564

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Integrative tumor characterization linking radiomic profiles to corresponding gene expression profiles has the potential to identify specific genetic alterations based on non-invasive radiomic profiling in cancer. The aim of this study was to develop and validate a radiomic prognostic index (RPI) based on preoperative magnetic resonance imaging (MRI) and assess possible associations between the RPI and gene expression profiles in endometrial cancer patients. Tumor texture features were extracted from preoperative 2D MRI in 177 endometrial cancer patients. The RPI was developed using least absolute shrinkage and selection operator (LASSO) Cox regression in a study cohort (n = 95) and validated in an MRI validation cohort (n = 82). Transcriptional alterations associated with the RPI were investigated in the study cohort. Potential prognostic markers were further explored for validation in an mRNA validation cohort (n = 161). The RPI included four tumor texture features, and a high RPI was significantly associated with poor disease-specific survival in both the study cohort (

Indexed as

endometrial cancerLASSO regressionmolecular markersMRIprognostic modelradiomics

Identifiers

PMID33540589
PMCPMC7867221

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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.