Evidence map›Paper›PMID 32293487›Full record

ArticleRadiation oncology (London, England)2020

DCE-MRI of locally-advanced carcinoma of the uterine cervix: Tofts analysis versus non-model-based analyses.

Kjersti V Lund, Trude G Simonsen, Gunnar B Kristensen, Einar K Rofstad

Open access · goldAbstract readComparative Study
In one paragraph

Article in Radiation oncology (London, England), 2020. 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
1.0field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Kjersti V LundDepartment of Radiation Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
Trude G SimonsenDepartment of Radiation Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
Gunnar B KristensenDepartment of Gynecological Cancer, Oslo University Hospital, Oslo, Norway.
Einar K RofstadDepartment of Radiation Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway. einar.k.rofstad@rr-research.no.
Oslo University Hospital · NO

Funding

Helse Sør-Øst RHF 2017080Kreftforeningen 71409-PR-2006-0203
6 · The paper itself

Abstract

backgroundDynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) may provide biomarkers of the outcome of locally-advanced cervical carcinoma (LACC). There is, however, no agreement on how DCE-MR recordings should be analyzed. Previously, we have analyzed DCE-MRI data of LACC using non-model-based strategies. In the current study, we analyzed DCE-MRI data of LACC using the Tofts pharmacokinetic model, and the biomarkers derived from this analysis were compared with those derived from the non-model-based analyses.

methodsEighty LACC patients given cisplatin-based chemoradiotherapy with curative intent were included in the study. Treatment outcome was recorded as disease-free survival (DFS) and overall survival (OS). DCE-MRI series were analyzed voxelwise to produce K

resultsPoor DFS and OS were associated with low values of K

conclusionsBiomarkers of the outcome of LACC can be provided by analyzing DCE-MRI series using the Tofts pharmacokinetic model. However, these biomarkers do not appear to have greater prognostic value than biomarkers determined by non-model-based analyses.

Indexed as

BiomarkersCarcinomaChemoradiotherapyContrast MediaDisease-Free SurvivalFemaleGadolinium DTPAHumansMagnetic Resonance ImagingModels, BiologicalPrognosisSurvival RateTumor BurdenUterine Cervical NeoplasmsBiomarkersContrast MediaGadolinium DTPABiomarkersCervical carcinomaDCE-MRITofts pharmacokinetic model

Identifiers

PMID32293487
PMCPMC7158049
OpenAlexW3016091906

What OpenQuestion holds

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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.