Evidence map›Paper›PMID 28289938›Full record

ArticleEuropean radiology2017

Primary and metastatic ovarian cancer: Characterization by 3.0T diffusion-weighted MRI.

Auni Lindgren, Maarit Anttila, Suvi Rautiainen, Otso Arponen, Annukka Kivelä, Petri Mäkinen, Kirsi Härmä, Kirsi Hämäläinen, Veli-Matti Kosma, Seppo Ylä-Herttuala and 2 more

Open access · hybridAbstract read
In one paragraph

Article in European radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
5.4field-weighted citation impact, top 5% 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

21 citing papers in PubMed, 35 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

12 authors at 3 institutions in 1 country.

Auni LindgrenDepartment of Gynaecology and Obstetrics, Kuopio University Hospital, Kuopio, Finland.
Maarit AnttilaDepartment of Gynaecology and Obstetrics, Kuopio University Hospital, Kuopio, Finland.
Suvi RautiainenDepartment of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland.
Otso ArponenDepartment of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland.
Annukka KiveläDepartment of Biotechnology and Molecular Medicine, A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland.
Petri MäkinenDepartment of Biotechnology and Molecular Medicine, A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland.
Kirsi HärmäDepartment of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland.
Kirsi HämäläinenDepartment of Pathology and Forensic Medicine, Kuopio University Hospital, Kuopio, Finland.
Veli-Matti KosmaDepartment of Pathology and Forensic Medicine, Kuopio University Hospital, Kuopio, Finland.
Seppo Ylä-HerttualaDepartment of Biotechnology and Molecular Medicine, A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland.
Ritva VanninenDepartment of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland.
Hanna SallinenDepartment of Gynaecology and Obstetrics, Kuopio University Hospital, Kuopio, Finland. Hanna.Sallinen@kuh.fi.
University of Eastern Finland · FIKuopio University Hospital · FIFinland University · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe aimed to investigate whether apparent diffusion coefficients (ADCs) measured by 3.0T diffusion-weighted magnetic resonance imaging (DWI) associate with histological aggressiveness of ovarian cancer (OC) or predict the clinical outcome. This prospective study enrolled 40 patients with primary OC, treated 2011-2014.

methodsDWI was performed prior to surgery. Two observers used whole lesion single plane region of interest (WLsp-ROI) and five small ROIs (S-ROI) to analyze ADCs. Samples from tumours and metastases were collected during surgery. Immunohistochemistry and quantitative reverse transcription polymerase chain reaction (qRT-PCR) were used to measure the expression of vascular endothelial growth factor (VEGF) and its receptors.

resultsThe interobserver reliability of ADC measurements was excellent for primary tumours ICC 0.912 (WLsp-ROI). Low ADCs significantly associated with poorly differentiated OC (WLsp-ROI P = 0.035). In primary tumours, lower ADCs significantly associated with high Ki-67 (P = 0.001) and low VEGF (P = 0.001) expression. In metastases, lower ADCs (WLsp-ROI) significantly correlated with low VEGF receptors mRNA levels. ADCs had predictive value; 3-year overall survival was poorer in patients with lower ADCs (WLsp-ROI P = 0.023, S-ROI P = 0.038).

conclusionReduced ADCs are associated with histological severity and worse outcome in OC. ADCs measured with WLsp-ROI may serve as a prognostic biomarker of OC. KEY POINTS: • Reduced ADCs correlate with prognostic markers: poor differentiation and high Ki-67 expression • ADCs also significantly correlated with VEGF protein expression in primary tumours • Lower ADC values are associated with poorer survival in ovarian cancer • Whole lesion single plane-ROI ADCs may be used as a prognostic biomarker in OC.

Indexed as

AgedAged, 80 and overCarcinoma, Ovarian EpithelialDiffusion Magnetic Resonance ImagingDisease-Free SurvivalFemaleHumansImmunohistochemistryMiddle AgedNeoplasm Recurrence, LocalNeoplasms, Glandular and EpithelialObserver VariationOvarian NeoplasmsProspective StudiesReal-Time Polymerase Chain ReactionReceptors, Vascular Endothelial Growth FactorReceptors, Vascular Endothelial Growth FactorVascular Endothelial Growth Factor ACell proliferationDiffusion magnetic resonance imagingNeoplasm metastasisNeovascularization pathologicOvarian neoplasms

Identifiers

PMID28289938
PMCPMC5544807
OpenAlexW2596358877

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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.