Evidence map›Paper›PMID 39518405›Full record

ArticleDiagnostics (Basel, Switzerland)2024

Role of Apparent Diffusion Coefficient Value and Apparent Diffusion Coefficient Ratio as Prognostic Factors for Prostate Cancer Aggressiveness.

Arvids Buss, Maija Radzina, Mara Liepa, Edgars Birkenfelds, Laura Saule, Karlis Miculis, Madara Mikelsone, Egils Vjaters

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Arvids BussRadiology Research Laboratory, Riga Stradins University, LV-1007 Riga, Latvia.ORCID 0000-0002-1646-9853
Maija RadzinaRadiology Research Laboratory, Riga Stradins University, LV-1007 Riga, Latvia.
Mara LiepaRadiology Research Laboratory, Riga Stradins University, LV-1007 Riga, Latvia.
Edgars BirkenfeldsDiagnostic Radiology Institute, Paula Stradina Clinical University Hospital, LV-1002 Riga, Latvia.
Laura SauleRadiology Research Laboratory, Riga Stradins University, LV-1007 Riga, Latvia.
Karlis MiculisCenter of Urology, Paula Stradina Clinical University Hospital, LV-1002 Riga, Latvia.
Madara MikelsoneDepartment of Statistics, Riga Stradins University, LV-1007 Riga, Latvia.
Egils VjatersMedical Faculty, University of Latvia, LV-1004 Riga, Latvia.ORCID 0000-0003-0054-3745

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProstate cancer is one of the most prevalent cancers in the male population. To determine the aggressiveness of suspected lesions precisely, predictive models are increasingly being developed using quantitative MRI measurements, and particularly the ADC value. This study aimed to determine whether ADC values could be used to establish the aggressiveness of prostate cancer.

methodsA retrospective single-center study included 398 patients with prostate cancer who underwent a multiparametric MRI prior to radical prostatectomy. DWI ADC values were measured (µm

resultsA very strong negative correlation (

conclusionDWI ADC values and the calculated ADC ratio have a significant inverse correlation with GS. The findings indicate a strong capability in determining prostate cancer aggressiveness, as well as the possibility of assisting with assigning PI-RADS categories using ADC as quantitative metrics.

Indexed as

ADC ratioADC valueGSmultiparametric MRIprostate cancertumor aggressiveness

Identifiers

PMID39518405
PMCPMC11545188

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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.