Evidence map›Paper›PMID 34533606›Full record

ArticleEuropean radiology2022

Liver surface nodularity on non-contrast MRI identifies advanced fibrosis in patients with NAFLD.

Marco Dioguardi Burgio, Riccardo Sartoris, Aurélie Beaufrere, Jules Grégory, Boris Guiu, Chloé Guillot, Pierre-Emmanuel Rautou, Laurent Castera, Mohamed Bouattour, Valérie Paradis and 2 more

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Article in European radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Noninvasive Tests for Predicting Decompensation in Compensated Advanced Chronic Liver Disease: A Comprehensive Review.Liver international : official journal of the International Association for the Study of the Liver · 2026
    Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. [Progress on liver diseases in 2021].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2022
    Article
  9. Liver fibrosis quantification.Abdominal radiology (New York) · 2022
    Review
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.

Marco Dioguardi BurgioINSERM U1149 "Centre de Recherche Sur L'inflammation", CRI, Université de Paris, 75018, Paris, France. marco.dioguardiburgio@aphp.fr.ORCID http://orcid.org/0000-0002-3243-6699
Riccardo SartorisINSERM U1149 "Centre de Recherche Sur L'inflammation", CRI, Université de Paris, 75018, Paris, France.
Aurélie BeaufrereDepartment of Pathology, AP-HP.Nord, Hôpital Beaujon, 100 Boulevard du Général Leclerc, 92110, Clichy, France.
Jules GrégoryDepartment of Radiology, AP-HP.Nord, Hôpital Beaujon, 100 Boulevard du Général Leclerc, 92110, Clichy, France.
Boris GuiuDepartment of Radiology, St-Éloi University Hospital, 34980, Montpellier, France.
Chloé GuillotDepartment of Radiology, St-Éloi University Hospital, 34980, Montpellier, France.
Pierre-Emmanuel RautouINSERM U1149 "Centre de Recherche Sur L'inflammation", CRI, Université de Paris, 75018, Paris, France.
Laurent CasteraDepartment of Hepatology, AP-HP.Nord, Hôpital Beaujon, 100 Boulevard du Général Leclerc, 92110, Clichy, France.
Mohamed BouattourDepartment of Digestive Oncology, AP-HP.Nord, Hôpital Beaujon, 100 Boulevard du Général Leclerc, 92110, Clichy, France.
Valérie ParadisINSERM U1149 "Centre de Recherche Sur L'inflammation", CRI, Université de Paris, 75018, Paris, France.
Valérie VilgrainINSERM U1149 "Centre de Recherche Sur L'inflammation", CRI, Université de Paris, 75018, Paris, France.
Maxime RonotINSERM U1149 "Centre de Recherche Sur L'inflammation", CRI, Université de Paris, 75018, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the diagnostic performance of liver surface nodularity (LSN) for the assessment of advanced fibrosis in patients with non-alcoholic fatty liver disease (NAFLD).

methodsWe retrospectively analysed patients with pathologically proven NAFLD who underwent liver MRI. Demographic, clinical, and laboratory data (including FIB-4 scores) were gathered. The SAF score was used to assess NAFLD. MRI-proton density fat fraction (PDFF) and LSN were determined on pre-contrast MR sequences. ROC curve analysis was performed to evaluate the diagnostic performance of MRI-LSN for the diagnosis of advanced (F3-F4) liver fibrosis.

resultsThe final population included 142 patients. Sixty-seven (47%) patients had non-alcoholic steatohepatitis (NASH), and 52 (37%) had advanced fibrosis. The median MRI-PDFF increased with the grades of steatosis: 8.1%, 18.1%, and 31% in S1, S2, and S3 patients, respectively (p < 0.001). The area under the ROC curve (AUC) of MRI-LSN ≥ 2.50 was 0.838 (95%CI 0.767-0.894, sensitivity 67.3%, specificity 88.9%, positive and negative predictive values 77.8% and 82.5%, respectively) for the diagnosis of advanced fibrosis. Combining FIB-4 and MRI-LSN correctly classified 103/142 (73%) patients. This was validated in an external cohort of 75 patients.

conclusionsMRI-LSN has good diagnostic performance in diagnosis of advanced fibrosis in NAFLD patients. A combination of FIB-4 and MRI-LSN derived from pre-contrast MRI could be helpful to detect advanced fibrosis. KEY POINTS: • MRI-LSN ≥ 2.5 was accurate for the diagnosis of advanced hepatic fibrosis in NAFLD patients. • The combination of FIB-4 and MRI-LSN improved the detection of advanced fibrosis. • MRI-LSN can be easily derived by unenhanced MRI sequences that are routinely acquired.

Indexed as

Non-alcoholic Fatty Liver DiseaseBiopsyFibrosisHumansLiverLiver CirrhosisMagnetic Resonance ImagingRetrospective StudiesROC CurveFatty liverLiver cirrhosisMagnetic resonance imagingMetabolic syndrome

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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.