Evidence map›Paper›PMID 37370907›Full record

ArticleDiagnostics (Basel, Switzerland)2023

What Imaging Modality Is More Effective in Predicting Early Recurrence of Hepatocellular Carcinoma after Hepatectomy Using Radiomics Analysis: CT or MRI or Both?

Qing Wang, Ye Sheng, Zhenxing Jiang, Haifeng Liu, Haitao Lu, Wei Xing

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. 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

6 authors at 1 institution in 1 country.

Qing WangDepartment of Radiology, Third Affiliated Hospital of Soochow University, Changzhou First People's Hospital, Changzhou 213200, China.
Ye ShengDepartment of Interventional Radiology, Third Affiliated Hospital of Soochow University, Changzhou First People's Hospital, Changzhou 213200, China.
Zhenxing JiangDepartment of Radiology, Third Affiliated Hospital of Soochow University, Changzhou First People's Hospital, Changzhou 213200, China.
Haifeng LiuDepartment of Radiology, Third Affiliated Hospital of Soochow University, Changzhou First People's Hospital, Changzhou 213200, China.
Haitao LuDepartment of Radiology, Third Affiliated Hospital of Soochow University, Changzhou First People's Hospital, Changzhou 213200, China.ORCID 0000-0003-1622-0254
Wei XingDepartment of Radiology, Third Affiliated Hospital of Soochow University, Changzhou First People's Hospital, Changzhou 213200, China.ORCID 0000-0003-2140-2685
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is of great importance to predict the early recurrence (ER) of hepatocellular carcinoma (HCC) after hepatectomy using preoperative imaging modalities. Nevertheless, no comparative studies have been conducted to determine which modality, CT or MRI with radiomics analysis, is more effective.

methodsWe retrospectively enrolled 119 HCC patients who underwent preoperative CT and MRI. A total of 3776 CT features and 4720 MRI features were extracted from the whole tumor. The minimum redundancy and maximum relevance algorithm (MRMR) and least absolute shrinkage and selection operator (LASSO) regression were applied for feature selection, then support vector machines (SVMs) were applied for model construction. Multivariable logistic regression analysis was employed to construct combined models that integrate clinical-radiological-pathological (CRP) traits and radscore. Receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA) were used to compare the efficacy of CT, MRI, and CT and MRI models in the test cohort.

resultsThe CT model and MRI model showed no significant difference in the prediction of ER in HCC patients (

conclusionsNo significant difference was found in predicting the ER of HCC between CT models and MRI models. However, the multimodal radiomics model derived from CT and MRI can significantly improve the prediction of ER in HCC patients after resection.

Indexed as

early recurrencehepatocellular carcinomapredictionradiomics

Identifiers

PMID37370907
PMCPMC10297510
OpenAlexW4380085506

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.