Evidence map›Paper›PMID 39844102›Full record

ArticleBMC cancer2025

MRI delta radiomics during chemoradiotherapy for prognostication in locally advanced cervical cancer.

Kari S Wagner-Larsen, Njål Lura, Ankush Gulati, Stian Ryste, Erlend Hodneland, Kristine E Fasmer, Kathrine Woie, Bjørn I Bertelsen, Øyvind Salvesen, Mari K Halle and 3 more

Abstract read
In one paragraph

Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

13 authors.

Kari S Wagner-LarsenMohn Medical Imaging and Visualization Centre (MMIV), Department of Radiology, Haukeland University Hospital, Jonas Lies vei 65, Bergen, 5021, Norway. kari.strono.wagner-larsen@helse-bergen.no.
Njål LuraMohn Medical Imaging and Visualization Centre (MMIV), Department of Radiology, Haukeland University Hospital, Jonas Lies vei 65, Bergen, 5021, Norway.
Ankush GulatiMohn Medical Imaging and Visualization Centre (MMIV), Department of Radiology, Haukeland University Hospital, Jonas Lies vei 65, Bergen, 5021, Norway.
Stian RysteMohn Medical Imaging and Visualization Centre (MMIV), Department of Radiology, Haukeland University Hospital, Jonas Lies vei 65, Bergen, 5021, Norway.
Erlend HodnelandMohn Medical Imaging and Visualization Centre (MMIV), Department of Radiology, Haukeland University Hospital, Jonas Lies vei 65, Bergen, 5021, Norway.
Kristine E FasmerMohn Medical Imaging and Visualization Centre (MMIV), Department of Radiology, Haukeland University Hospital, Jonas Lies vei 65, Bergen, 5021, Norway.
Kathrine WoieDepartment of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway.
Bjørn I BertelsenDepartment of Pathology, Haukeland University Hospital, Bergen, Norway.
Øyvind SalvesenClinical Research Unit, Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.
Mari K HalleDepartment of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway.
Noeska SmitMohn Medical Imaging and Visualization Centre (MMIV), Department of Radiology, Haukeland University Hospital, Jonas Lies vei 65, Bergen, 5021, Norway.
Camilla KrakstadDepartment of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway.
Ingfrid S HaldorsenMohn Medical Imaging and Visualization Centre (MMIV), Department of Radiology, Haukeland University Hospital, Jonas Lies vei 65, Bergen, 5021, Norway. ingfrid.helene.salvesen.haldorsen@helse-bergen.no.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEffective diagnostic tools for prompt identification of high-risk locally advanced cervical cancer (LACC) patients are needed to facilitate early, individualized treatment. The aim of this work was to assess temporal changes in tumor radiomics (delta radiomics) from T2-weighted imaging (T2WI) during concurrent chemoradiotherapy (CCRT) in LACC patients, and their association with progression-free survival (PFS). Furthermore, to develop, validate, and compare delta- and pretreatment radiomic signatures for prognostic modeling.

methodsA total of 110 LACC patients undergoing CCRT with MRI at baseline and mid-treatment were divided into training (cohort

resultsDelta

conclusionsDelta- and pretreatment radiomic signatures equally allow early prognostication in LACC, outperforming FIGO stage and MRI-assessed maximum tumor diameter.

Indexed as

ChemoradiotherapyMagnetic Resonance ImagingUterine Cervical NeoplasmsAdultAgedFemaleHumansMiddle AgedNeoplasm StagingPrognosisProgression-Free SurvivalRadiomicsRetrospective StudiesChemoradiotherapyDelta-radiomicsMagnetic resonance imagingRadiomicsUterine cervical neoplasms

Identifiers

PMID39844102
PMCPMC11753090

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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.