Evidence map›Paper›PMID 41607275›Full record

ArticleNuclear medicine communications2026

Correlation between 18 F-FDG PET/CT, Gd-EOB-DTPA MRI combined with laboratory parameters and microvascular invasion, and the potential of nomogram to predict microvascular invasion of hepatocellular carcinoma before liver transplantation.

Xianglei Kong, Mengting Zhu, Shengli Ye, Guohong Cao, Jiaqi Wang

Abstract read
In one paragraph

Article in Nuclear medicine communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Xianglei KongDepartment of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine.
Mengting ZhuDepartment of Nuclear Medicine and Radiology, Shulan (Hangzhou) Hospital, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, China.
Shengli YeDepartment of Nuclear Medicine and Radiology, Shulan (Hangzhou) Hospital, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, China.
Guohong CaoDepartment of Nuclear Medicine and Radiology, Shulan (Hangzhou) Hospital, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, China.
Jiaqi WangDepartment of Nuclear Medicine and Radiology, Shulan (Hangzhou) Hospital, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatocellular carcinoma (HCC) is a highly prevalent malignant tumor worldwide, with Chinese patients accounting for over 50% of cases. Microvascular invasion (MVI) is a critical risk factor for postoperative recurrence. Preoperative identification and prediction of MVI remain clinically challenging.

objectiveTo evaluate the clinical value of 18 F-fluorodeoxyglucose ( 18 F-FDG) PET/computed tomography (CT) and Gd-EOB-DTPA dynamic contrast-enhanced MRI in predicting MVI in HCC before liver transplantation, and to construct a nomogram prediction model by integrating laboratory indicators.

methodsA total of 121 HCC patients undergoing liver transplantation were retrospectively enrolled. The correlation between clinical characteristics, laboratory parameters, imaging findings (from PET/CT and MRI), and MVI status was analyzed. Independent predictors were identified through univariate and multivariate logistic regression analyses, and a nomogram was developed. Model performance was assessed using calibration and receiver operating characteristic (ROC) curves.

resultsMultivariate analysis identified PIVKA-II, peritumoral hypointensity on hepatobiliary phase MRI, and PET heterogeneity index as independent predictors of MVI. The combined model achieved an area under the ROC curve of 0.875, significantly outperforming any single parameter. The nomogram demonstrated excellent calibration.

conclusion18 F-FDG PET/CT and Gd-EOB-DTPA MRI can effectively predict the risk of MVI in HCC patients prior to liver transplantation. The nomogram model provides a reliable tool for individualized preoperative assessment.

Indexed as

Carcinoma, HepatocellularFluorodeoxyglucose F18Gadolinium DTPALiver NeoplasmsLiver TransplantationMagnetic Resonance ImagingMicrovesselsNomogramsPositron Emission Tomography Computed TomographyAdultAgedFemaleHumansMaleMiddle AgedNeoplasm InvasivenessFluorodeoxyglucose F18Gadolinium DTPAgadolinium ethoxybenzyl DTPA18F-fluorodeoxyglucose PET/computed tomographydiagnostic performancegadoxetate disodium-enhanced MRIhepatocellular carcinoma (HCC)liver transplantationmicrovascular invasion (MVI)multimodal imagingpreoperative prediction

Identifiers

PMID41607275
PMCPMC13015801

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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.