Evidence map›Paper›PMID 33081713›Full record

ArticleBMC medical imaging2020

Evaluation of liver function using liver parenchyma, spleen and portal vein signal intensities during the hepatobiliary phase in Gd-EOB-D TPA-enhanced MRI.

Ming Yang, Yue Zhang, Wenlu Zhao, Wen Cheng, Han Wang, Shengren Guo

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC medical imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 12% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. 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

6 authors at 1 institution in 1 country.

Ming YangDepartment of Radiology, The Second Affiliated Hospital of Soochow University, Sanxiang Street No. 1055, Suzhou, 215004, Jiangsu, China.
Yue ZhangDepartment of Radiology, The Second Affiliated Hospital of Soochow University, Sanxiang Street No. 1055, Suzhou, 215004, Jiangsu, China.
Wenlu ZhaoDepartment of Radiology, The Second Affiliated Hospital of Soochow University, Sanxiang Street No. 1055, Suzhou, 215004, Jiangsu, China.
Wen ChengDepartment of Radiology, The Second Affiliated Hospital of Soochow University, Sanxiang Street No. 1055, Suzhou, 215004, Jiangsu, China.
Han WangDepartment of Radiology, The Second Affiliated Hospital of Soochow University, Sanxiang Street No. 1055, Suzhou, 215004, Jiangsu, China.
Shengren GuoDepartment of Radiology, The Second Affiliated Hospital of Soochow University, Sanxiang Street No. 1055, Suzhou, 215004, Jiangsu, China. Guosrsdefy@163.com.ORCID 0000-0002-8935-9954
Soochow University · CN

Funding

Suzhou Livelihood Technology - Project of Scientific Industry Demonstration SS2019012
6 · The paper itself

Abstract

backgroundPrevious studies have used signal intensity (SI) to reflect liver function. However, few studies have evaluated liver function via the portal vein. Regarding the SI of the liver, spleen, and portal vein, no study has indicated which can best reflect liver function. Therefore, the aim of this study is to investigate whether these parameters can evaluate liver function in patients with cirrhosis and determine which is the best parameter.

methods120 patients with normal livers (n = 41) or Child-Pugh class A (n = 50), B (n = 21) or C (n = 8) disease who had undergone Gd-EOB-DTPA-enhanced MRI were retrospectively reviewed. Comparisons of the MRI data (liver parenchyma SI, portal vein SI, and spleen SI and liver-to-portal vein contrast ratio (LPC), liver-to-spleen contrast ratio (LSC), and portal vein-to-spleen contrast ratio (PSC)) in the 15-min hepatobiliary phase images were performed among the groups, and the correlations among the liver function parameters (total bilirubin, direct bilirubin, indirect bilirubin, aspartate aminotransferase, alanine aminotransferase, albumin, creatinine, platelet count, prothrombin time and international normalized ratio), liver function scores and MRI data were also quantitatively analysed.

resultsSignificant differences were observed in the liver parenchyma SI, LPC and LSC among the groups. These values all decreased gradually from normal livers to Child-Pugh class C cirrhotic livers (P < 0.001). The portal vein SI constantly and slightly increased from normal livers to Child-Pugh class C cirrhotic livers, but no differences were found among the groups in the portal vein SI and PSC (P > 0.05). LPC showed a stronger correlation with the Child-Pugh score and MELD score than LSC and the liver parenchyma SI. The order of the AUCs of these parameters, from largest to smallest, was as follows: LPC, LSC, and liver parenchyma SI (P > 0.05).

conclusionThe liver parenchyma SI, LSC and LPC may be used as alternative imaging biomarkers to assess liver function, while the portal vein SI and PSC do not reflect liver function. Furthermore, LPC values can more effectively distinguish severity among patients with cirrhosis than the liver parenchyma SI and LSC.

Indexed as

AgedArea Under CurveCase-Control StudiesContrast MediaFemaleGadolinium DTPAHumansLiverLiver CirrhosisLiver Function TestsMagnetic Resonance ImagingMaleMiddle AgedPortal VeinRadiographic Image Interpretation, Computer-AssistedRetrospective StudiesContrast MediaGadolinium DTPAgadolinium ethoxybenzyl DTPAGd-EOB-DTPALiver functionMagnetic resonance imagingPortal veinSpleen

Identifiers

PMID33081713
PMCPMC7576754
OpenAlexW3094126917

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.