Evidence map›Paper›PMID 38737404›Full record

ArticleDiagnostic and interventional radiology (Ankara, Turkey)2024

Assessing hepatic steatosis by magnetic resonance in potential living liver donors

Diğdem Kuru Öz, Zeynep Ellik, Ayşegül Gürsoy Çoruh, Mehmet Adıgüzel, Mesut Gümüşsoy, Saba Kiremitci, Onur Elvan Kırımker, Hale Gökcan, Atilla Halil Elhan, Deniz Balcı and 3 more

Abstract read
In one paragraph

Article in Diagnostic and interventional radiology (Ankara, Turkey), 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

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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
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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

13 authors.

Diğdem Kuru ÖzAnkara University Faculty of Medicine, Department of Radiology, Ankara, TürkiyeORCID 0000-0001-8873-3476
Zeynep EllikAnkara University Faculty of Medicine, Department of Gastroenterology, Ankara, TürkiyeORCID 0000-0001-8290-7965
Ayşegül Gürsoy ÇoruhAnkara University Faculty of Medicine, Department of Radiology, Ankara, TürkiyeORCID 0000-0002-8638-8688
Mehmet AdıgüzelAnkara University Faculty of Medicine, Department of Radiology, Ankara, TürkiyeORCID 0000-0001-5453-8621
Mesut GümüşsoyAnkara University Faculty of Medicine, Department of Gastroenterology, Ankara, TürkiyeORCID 0000-0003-4338-1467
Saba KiremitciAnkara University Faculty of Medicine, Department of Pathology, Ankara, TürkiyeORCID 0000-0001-8868-1362
Onur Elvan KırımkerAnkara University Faculty of Medicine, Department of General Surgery, Ankara, TürkiyeORCID 0000-0002-9890-9540
Hale GökcanAnkara University Faculty of Medicine, Department of Gastroenterology, Ankara, TürkiyeORCID 0000-0001-5663-0683
Atilla Halil ElhanAnkara University Faculty of Medicine, Department of Biostatistics, Ankara, TürkiyeORCID 0000-0003-3324-248X
Deniz BalcıBahçesehir University Faculty of Medicine, Department of General Surgery, İstanbul, TürkiyeORCID 0000-0002-6246-1123
Berna SavaşAnkara University Faculty of Medicine, Department of Pathology, Ankara, TürkiyeORCID 0000-0003-3971-1419
Ayşe ErdenAnkara University Faculty of Medicine, Department of Radiology, Ankara, TürkiyeORCID 0000-0002-9518-5428
Ramazan İdilmanAnkara University Faculty of Medicine, Department of Gastroenterology, Ankara, TürkiyeORCID 0000-0001-8840-5472

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo determine the accuracy of magnetic resonance imaging-proton density fat fraction (MRI-PDFF) measurements for detecting liver fat content in potential living liver donors and to compare these results using liver biopsy findings.

methodsA total of 139 living liver donors (men/women: 83/56) who underwent MRI between January 2017 and September 2021 were included in this analysis retrospectively. The PDFFs were measured using both MR spectroscopy (MRS) and chemical shift-based MRI (CS-MRI) for each donor in a blinded manner.

resultsSignificant positive correlations were found between liver biopsy and MRS-PDFF and CS-MRI PDFF in terms of hepatic steatosis detection [r = 0.701, 95% confidence interval (CI): 0.604–0.798, r = 0.654, 95% CI: 0.544–0.765,

conclusionThe methods of MRS-PDFF and CS-MRI PDFF provide a non-invasive and accurate approach for assessing hepatic steatosis in potential living liver donor candidates. These MRI PDFF techniques present a promising clinical advantage in the preoperative evaluation of living liver donors by eliminating the requirement for invasive procedures like liver biopsy.

Indexed as

Fatty LiverLiverLiving DonorsMagnetic Resonance ImagingAdultBiopsyElasticity Imaging TechniquesFemaleHumansLiver TransplantationMagnetic Resonance SpectroscopyMaleMiddle AgedRetrospective StudiesROC Curvechemical shift-based magnetic resonance imagingliver transplantationliving liver donorMagnetic resonance spectroscopymetabolic-associated steatotic liver diseaseproton density fat fraction

Identifiers

PMID38737404
PMCPMC11589523

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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.