Evidence map›Paper›PMID 40022269›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2025

Tumor ADC value predicts outcome and yields refined prognostication in uterine cervical cancer.

Njål Lura, Kari S Wagner-Larsen, Stian Ryste, Kristine Fasmer, David Forsse, Jone Trovik, Mari K Halle, Bjørn I Bertelsen, Frank Riemer, Øyvind Salvesen and 3 more

Abstract read
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  5. Review
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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.

Njål LuraMohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Jonas Lies Vei 65, 5021, Bergen, Norway. njal.gjerde.lura@helse-bergen.no.ORCID http://orcid.org/0000-0002-0508-6881
Kari S Wagner-LarsenMohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Jonas Lies Vei 65, 5021, Bergen, Norway.
Stian RysteMohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Jonas Lies Vei 65, 5021, Bergen, Norway.
Kristine FasmerMohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Jonas Lies Vei 65, 5021, Bergen, Norway.
David ForsseDepartment of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway.
Jone TrovikDepartment of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway.
Mari K HalleDepartment of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway.
Bjørn I BertelsenDepartment of Pathology, Haukeland University Hospital, Bergen, Norway.
Frank RiemerMohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Jonas Lies Vei 65, 5021, Bergen, Norway.
Øyvind SalvesenClinical Research Unit, Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.
Kathrine WoieDepartment of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway.
Camilla KrakstadDepartment of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway.
Ingfrid S HaldorsenMohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Jonas Lies Vei 65, 5021, Bergen, Norway.

Funding

Helse Vest Regionalt Helseføretak Grant #F-12512Norwegian research council Grant #311350Trond Mohn stiftelse Grant #F-12512
6 · The paper itself

Abstract

Pelvic MRI is essential for evaluating local and regional tumor extent in uterine cervical cancer (CC). Tumor microstructure captured by diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) markers may be closely linked to prognosis in CC.Purpose To explore whether primary tumor ADC markers predict survival in CC.Material and methods CC patients (n = 179) diagnosed during 2009-2020 with MRI-assessed primary maximum tumor

Indexed as

Diffusion Magnetic Resonance ImagingUterine Cervical NeoplasmsAdultAgedFemaleHumansMiddle AgedNeoplasm StagingPrognosisRetrospective StudiesADCCervical cancerDWI

Identifiers

PMID40022269
PMCPMC11871606

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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.