Evidence map›Paper›PMID 39006386›Full record

ArticleWorld journal of gastroenterology2024

Predicting hepatocellular carcinoma: A new non-invasive model based on shear wave elastography.

Dong Jiang, Yi Qian, Yi-Jun Gu, Ru Wang, Hua Yu, Hui Dong, Dong-Yu Chen, Yan Chen, Hao-Zheng Jiang, Bi-Bo Tan and 2 more

Abstract read
In one paragraph

Article in World journal of gastroenterology, 2024. 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.

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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

12 authors.

Dong JiangDepartment of Ultrasound, Eastern Hepatobiliary Surgery Hospital, The Third Affiliated Hospital of Naval Medical University, Shanghai 200433, China.
Yi QianDepartment of Ultrasound, Eastern Hepatobiliary Surgery Hospital, The Third Affiliated Hospital of Naval Medical University, Shanghai 200433, China.
Yi-Jun GuDepartment of Ultrasound, Eastern Hepatobiliary Surgery Hospital, The Third Affiliated Hospital of Naval Medical University, Shanghai 200433, China.
Ru WangDepartment of Ultrasound, Eastern Hepatobiliary Surgery Hospital, The Third Affiliated Hospital of Naval Medical University, Shanghai 200433, China.
Hua YuDepartment of Pathology, Shanghai Eastern Hepatobiliary Surgery Hospital, Third Affiliated Hospital of Naval Medical University, Shanghai 200433, China.
Hui DongDepartment of Pathology, Shanghai Eastern Hepatobiliary Surgery Hospital, Third Affiliated Hospital of Naval Medical University, Shanghai 200433, China.
Dong-Yu ChenDepartment of Ultrasound, Eastern Hepatobiliary Surgery Hospital, The Third Affiliated Hospital of Naval Medical University, Shanghai 200433, China.
Yan ChenDepartment of Ultrasound, Eastern Hepatobiliary Surgery Hospital, The Third Affiliated Hospital of Naval Medical University, Shanghai 200433, China.
Hao-Zheng JiangDepartment of College of Art and Science, Case Western Reserve University, Cleveland, OH 44106, United States.
Bi-Bo TanDepartment of Ultrasound, Eastern Hepatobiliary Surgery Hospital, The Third Affiliated Hospital of Naval Medical University, Shanghai 200433, China.
Min PengUltrasound Diagnosis, PLA Naval Medical Center, Shanghai 200437, China.
Yi-Ran LiDepartment of Ultrasound, Eastern Hepatobiliary Surgery Hospital, The Third Affiliated Hospital of Naval Medical University, Shanghai 200433, China. liyiranehsh@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntegrating conventional ultrasound features with 2D shear wave elastography (2D-SWE) can potentially enhance preoperative hepatocellular carcinoma (HCC) predictions.

aimTo develop a 2D-SWE-based predictive model for preoperative identification of HCC.

methodsA retrospective analysis of 884 patients who underwent liver resection and pathology evaluation from February 2021 to August 2023 was conducted at the Oriental Hepatobiliary Surgery Hospital. The patients were divided into the modeling group (

resultsIn the modeling group analysis, maximal elasticity (Emax) of tumors and their peripheries, platelet count, cirrhosis, and blood flow were independent risk indicators for malignancies. These factors yielded an area under the curve of 0.77 (95% confidence interval: 0.73-0.81) with 84% sensitivity and 61% specificity. The model demonstrated good calibration in both the construction and validation cohorts, as shown by the calibration graph and Hosmer-Lemeshow test (

conclusion2D-SWE's hardness value serves as a valuable marker for enhancing the preoperative diagnosis of malignant liver lesions, correlating significantly with MVI and antiviral treatment efficacy.

Indexed as

Carcinoma, HepatocellularElasticity Imaging TechniquesLiverLiver NeoplasmsAdultAgedFemaleHepatectomyHumansLiver CirrhosisMaleMiddle AgedNomogramsPredictive Value of TestsRetrospective StudiesRisk FactorsAntiviral treatmentHepatocellular carcinomaMicrovascular invasionPredicting modelShear wave elastography

Identifiers

PMID39006386
PMCPMC11238667

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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.