Evidence map›Paper›PMID 36550754›Full record

ArticleDiagnostic and interventional radiology (Ankara, Turkey)2022

Multiparametric MRI combined with liver volume for quantitative evaluation of liver function in patients with cirrhosis.

Chenxia Li, Haitian Liu, Jinhan Wang, Xiang Li, Ting Cui, Rong Wang, Jian Yang, Yuelang Zhang

Erratum issuedAbstract 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. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Chenxia LiDepartment of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China; Department of Biomedical Engineering, the Key Laboratory of Biomedical Information Engineering of the Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, PR China.
Haitian LiuThe Third Hospital of Hebei Medical University, the Key Laboratory of Biomedical Information Engineering of the Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, PR China.
Jinhan WangDepartment of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China.
Xiang LiDepartment of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China.
Ting CuiDepartment of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China.
Rong WangDepartment of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China.
Jian YangDepartment of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China; Department of Biomedical Engineering, the Key Laboratory of Biomedical Information Engineering of the Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, PR China.
Yuelang ZhangDepartment of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PURPOSE We aimed to establish a liver function evaluation model by combining multiparametric magnetic resonance imaging (MRI) with liver volume (LV) and further verify the effectiveness of the model to evaluate liver function. METHODS This retrospective study included 101 consecutive cirrhosis patients (69 cases for modeling group and 32 cases for validation group) who underwent gadoxetic acid-enhanced MRI. Five signal intensity parameters were obtained by measuring the signal intensities of the liver, spleen, and erector spinae before and 20 minutes after gadoxetic acid disodium enhancement. The dif fusion coefficient (D), pseudo-diffusion coefficient (D*), and perfusion fraction (f) were obtained from intravoxel incoherent motion diffusion-weighted imaging. The LV parameters (Vliver, Vspleen, and Vliver/Vspleen) were obtained using 3-dimensional image generation software. The most effec tive parameter was selected from each of the 3 methods, and a multivariate regression model for liver function evaluation was established and validated. RESULTS In the modeling group, relative enhancement (RE), D*, and Vliver/Vspleen showed significant dif ferences among the different liver function groups (P < .001). Receiver operating characteristic analysis showed that these parameters had the highest area under the curve (AUC) values for dis tinguishing Child-Pugh A from Child-Pugh B and C groups (0.917, 0.929, and 0.885, respectively). The following liver function model was obtained by multivariate regression analysis: F(x)=3.96 - 1.243 (RE) - 0.034 (D*) - 0.080 (Vliver/Vspleen) (R2=0.811, P < .001). In the patients with cirrhosis, the F(x) of Child-Pugh A, B, and C were 1.16 ± 0.44, 1.95 ± 0.29, and 2.79 ± 0.38, respectively. In the validation group, the AUC for F(x) to distinguish Child-Pugh A from Child-Pugh B and C was 0.973. CONCLUSION Combining multiparametric MRI with LV effectively distinguished patients with different Child Pugh grades. This model could hence be useful as a novel radiological marker to estimate the liver function.

Indexed as

Multiparametric Magnetic Resonance ImagingDiffusion Magnetic Resonance ImagingGadolinium DTPAHumansLiverLiver CirrhosisMagnetic Resonance ImagingRetrospective StudiesGadolinium DTPAgadolinium ethoxybenzyl DTPA

Identifiers

PMID36550754
PMCPMC9885717

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.