Evidence map›Paper›PMID 35142611›Full record

ArticleDiagnostic and interventional radiology (Ankara, Turkey)2022

Performance of apparent diffusion coefficient values and ratios for the prediction of prostate cancer aggressiveness across different MRI acquisition settings.

Ercan Karaarslan, Aylin Altan Kus, Deniz Alis, Umut Can Karaarslan, Yesim Saglican, Omer Burak Argun, Ali Riza Kural

Open access · greenAbstract read
In one paragraph

Article in Diagnostic and interventional radiology (Ankara, Turkey), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 48% 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 2 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Ercan KaraarslanDepartment of Radiology, Acibadem Mehmet Ali Aydinlar University, School of Medicine, Istanbul, Turkey.
Aylin Altan KusDepartment of Radiology, Acibadem Mehmet Ali Aydinlar University, School of Medicine, Istanbul, Turkey.
Deniz AlisDepartment of Radiology, Acibadem Mehmet Ali Aydinlar University, School of Medicine, Istanbul, Turkey.
Umut Can KaraarslanAcibadem Mehmet Ali Aydinlar University, School of Medicine, Istanbul, Turkey.
Yesim SaglicanDepartment of Pathology, Acibadem Mehmet Ali Aydinlar University, School of Medicine, Istanbul, Turkey.
Omer Burak ArgunDepartment of Urology, Acibadem Mehmet Ali Aydinlar University, School of Medicine, Istanbul, Turkey.
Ali Riza KuralDepartment of Urology, Acibadem Mehmet Ali Aydinlar University, School of Medicine, Istanbul, Turkey.
Kent Hastanesi · TRAcıbadem Adana Hospital · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIn this study, we assessed the performance of apparent diffusion coefficient (ADC) and diffusion-weighted imaging (DWI) metrics and their ratios across different magnetic resonance imaging (MRI) acquisition settings, with or without an endorectal coil (ERC), for the evaluation of prostate cancer (PCa) aggressiveness using whole-mount specimens as a reference.

methodsWe retrospectively reviewed the data of prostate carcinoma patients with a Gleason score (GS) of 3+4 or higher who underwent prostate MRI using a 3T unit at our institution. They were divided into two groups based on the use of ERC for MRI acquisition, and patients who underwent prostate MRI with an ERC constituted the ERC (n = 55) data set, while the remaining patients accounted for the non-ERC data set (n = 41). DWI was performed with b-values of 50, 500, 1000, and 1,400 s/mm2, and ADC maps were automatically calculated. Additionally, computed DWI (cDWI) was performed with a b-value of 2000 s/mm2. Six ADC and two cDWI parameters were evaluated. In the ERC data set, receiver operating characteristic (ROC) curves were plotted for each metric to determine the best cutoff threshold values for differentiating GS 3+4 PCa from that with a higher GS. The performance of these cutoff values was assessed in non-ERC dataset. The diagnostic accuracies and area under the curves (AUCs) of the metrics were compared using Fisher's exact test and De Long's method, respectively.

resultsAmong all metrics, the ADCmean-ratio yielded the highest AUC, 0.84, for differing GS 3+4 PCa from that with a higher GS. The best threshold cutoff values of ADCmean-ratio (£0.51) for discriminating GS 3+4 PCa from that with a higher GS classified 48 patients out of 55 with an accuracy of 87.27%. However, there was no significant difference between each metric in terms of accuracy and AUC (p = 0.163 and 0.214). Similarly, in the non-ERC data set, the ADCmean-ratio provided the highest diagnostic accuracy (82.92%) by classifying 34 patients out of 41. However, Fisher's exact test yielded no significant difference between DWI and ADC metrics in terms of diagnostic accuracy in non-ERC data (p = 0.561).

conclusionThe mean ADC ratio of the tumor to the normal prostate showed the highest accuracy and AUC in differentiating GS 3+4 PCa and PCa with a higher GS across different MRI acquisition settings; however, the performance of different ADC and DWI metrics did not differ significantly.

Indexed as

Prostatic NeoplasmsDiffusion Magnetic Resonance ImagingHumansMagnetic Resonance ImagingMaleNeoplasm GradingRetrospective Studies

Identifiers

PMID35142611
PMCPMC12278917
OpenAlexW3165184556

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.