Evidence map›Paper›PMID 40419616›Full record

ArticleScientific reports2025

Estimating liver cirrhosis severity with extracellular volume fraction by spectral CT.

Hong Zhang, Ee Hao, Dongqin Xia, Mingyue Ma, Jiayu Wu, Tongchi Liu, Ming Gao, Xiaoping Wu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

8 authors.

Hong Zhang *Department of Radiology, Affiliated Xi'an Central Hospital of Xi'an Jiaotong University, No. 161, Xiwu Road, Xincheng District, Xi'an, 710003, Shaanxi, China.
Ee Hao *Department of Sixth Outpatient, Xijing 986 Hospital, Xi'an, 710054, China.
Dongqin Xia *Department of Ultrasound, Affiliated Xi'an Central Hospital of Xi'an Jiaotong University, Xi'an, 710003, China.
Mingyue MaDepartment of Radiology, Affiliated Xi'an Central Hospital of Xi'an Jiaotong University, No. 161, Xiwu Road, Xincheng District, Xi'an, 710003, Shaanxi, China.
Jiayu WuDepartment of Radiology, Affiliated Xi'an Central Hospital of Xi'an Jiaotong University, No. 161, Xiwu Road, Xincheng District, Xi'an, 710003, Shaanxi, China.
Tongchi LiuDepartment of Radiology, Affiliated Xi'an Central Hospital of Xi'an Jiaotong University, No. 161, Xiwu Road, Xincheng District, Xi'an, 710003, Shaanxi, China.
Ming GaoDepartment of Radiology, Affiliated Xi'an Central Hospital of Xi'an Jiaotong University, No. 161, Xiwu Road, Xincheng District, Xi'an, 710003, Shaanxi, China.
Xiaoping WuDepartment of Radiology, Affiliated Xi'an Central Hospital of Xi'an Jiaotong University, No. 161, Xiwu Road, Xincheng District, Xi'an, 710003, Shaanxi, China. szping518@163.com.

Funding

Xi'an Science and Technology Program Project NO.23YXYJ0004Xi'an Science and Technology Program Project No.24YXYJ0073
6 · The paper itself

Abstract

To investigate the diagnostic value of spectral CT in calculating extracellular volume fraction (ECV) for assessing the severity of liver cirrhosis. This retrospective study enrolled 172 participants, including 127 patients diagnosed with liver cirrhosis and 45 matched controls, all of whom underwent spectral CT hepatic enhancement imaging. Disease severity stratification was performed using the Child-Pugh classification system. ECV values were derived from the iodine density map during the delayed phase. These ECV values were then compared across the control group and subclassified cirrhosis groups (Child-Pugh classes A-C). Furthermore, a correlation analysis was performed to assess the relationship between ECV values and Child-Pugh scores in liver cirrhosis. Receiver operating characteristic (ROC) curves were constructed to evaluate the diagnostic performance of ECV values and MELD-Na in the Child-Pugh classification of liver cirrhosis. The ECV values were 25.49 ± 3.15, 29.73 ± 3.20, 35.64 ± 3.15, and 45.30 ± 5.16 for the control, Child-Pugh A, Child-Pugh B, and Child-Pugh C group, respectively, demonstrating significant intergroup differences (F = 184.67 P < 0.001). A strong positive correlation was observed between ECV and Child-Pugh liver function classification (r = 0.791, P < 0.001). The diagnostic performance of ECV for differentiating between Child-Pugh classes A and B (AUC: 0.901), B and C (AUC: 0.966) was higher compared to the MELD-Na score (AUC: 0.772 and 0.868) (P < 0.05, respectively). Multivariate analyses showed that ECV was an independent factor for cirrhosis (OR 1.610, P < 0.001). ECV values measured using spectral CT can serve as a noninvasive biomarker for assessing the severity of liver cirrhosis.

Indexed as

Liver CirrhosisTomography, X-Ray ComputedAdultAgedCase-Control StudiesFemaleHumansLiverMaleMiddle AgedRetrospective StudiesROC CurveSeverity of Illness IndexChild-Pugh classificationExtracellular volumeIodine densityLiver cirrhosisSpectral CT

Identifiers

PMID40419616
PMCPMC12106838

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.