Evidence map›Paper›PMID 29520210›Full record

ArticleRadiology and oncology2018

MRI and

Catrin von Below, Cecilia Wassberg, Rafael Grzegorek, Joel Kullberg, Charlotta Gestblom, Jens Sörensen, Mauritz Waldén, Håkan Ahlström

Open access · goldAbstract read
In one paragraph

Article in Radiology and oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
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 at 3 institutions in 1 country.

Catrin von BelowDepartment of Surgical Sciences/Radiology, Uppsala University, Uppsala, Sweden.
Cecilia WassbergDepartment of Surgical Sciences/Radiology, Uppsala University, Uppsala, Sweden.
Rafael GrzegorekDepartment of Urology, Centralsjukhuset Karlstad, Karlstad, Sweden.
Joel KullbergDepartment of Surgical Sciences/Radiology, Uppsala University, Uppsala, Sweden.
Charlotta GestblomDepartment of Pathology, Centralsjukhuset Karlstad, Karlstad, Sweden.
Jens SörensenDepartment of Surgical Sciences/Radiology, Uppsala University, Uppsala, Sweden.
Mauritz WaldénDepartment of Urology, Centralsjukhuset Karlstad, Karlstad, Sweden.
Håkan AhlströmDepartment of Surgical Sciences/Radiology, Uppsala University, Uppsala, Sweden.
Uppsala University · SEKarlstad Central Hospital · SEAntaros Medical (Sweden) · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of the study was to examine the value of quantitative and qualitative MRI and PATIENTS AND

methodsPatients with intermediate (n = 6) and high risk (n = 47) PCa underwent 3T MRI (40 patients) and

resultsAll variables, except ADCmean and SUVmax of the primary tumor, were independent predictors of LN metastasis. In multiple logistic regression analysis the best model was ADCmean in combintion with MRI T-stage where both were independent predictors of LN metastasis, this combination had an AUC of 0.81 which was higher than the AUC of 0.65 for LN ADCmean alone and the AUC of 0.69 for MRI T-stage alone.

conclusionsSeveral quantitative and qualitative imaging parameters are predictive of regional LN metastasis in PCa. The combination of ADCmean in lymph nodes and T-stage on MRI was the best model in multiple logistic regression with increased predictive value compared to lymph node ADCmean and T-stage on MRI alone.

Indexed as

diffusion magnetic resonance imaginglymph node excisionlymph nodespositronemission tomographyprostatic neoplasm

Identifiers

PMID29520210
PMCPMC5839086
OpenAlexW2786863839

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.