ArticleEuropean radiology2025
Three-dimensional MR elastography-based stiffness for assessing the status of Ki67 proliferation index and Cytokeratin-19 in hepatocellular carcinoma.
Article in European radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed.
- Magnetic resonance imaging R2* mapping for evaluating Ki-67 proliferation index and cytokeratin 19 expression in solitary iron-sparing hepatocellular carcinoma: a retrospective single-center study.Quantitative imaging in medicine and surgery · 2026Article
- Multi-parametric MRI diffusion models combined with clinical information for predicting Ki-67 expression in pancreatic ductal adenocarcinoma: a prospective cohort study.Abdominal radiology (New York) · 2026Article
- Detection of macrotrabecular-massive hepatocellular carcinoma based on viscoelastic characteristics obtained by multifrequency magnetic-resonance elastography.European radiology · 2026Article
- A case report of misdiagnosed adenoid cystic carcinoma of the parotid gland on ultrasound: imaging-pathological correlation and diagnostic implications.Gland surgery · 2025Article
- Application of multimodal fusion technology in early recurrence prediction and pathological analysis of hepatocellular carcinoma.World journal of gastrointestinal oncology · 2025Article
- CT-Based 2.5D Deep Learning-Multi-Instance Learning for Predicting Early Recurrence of Hepatocellular Carcinoma and Correlating with Recurrence-Related Pathological Indicators.Journal of hepatocellular carcinoma · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
objectivesTo investigate the potential diagnostic value of MR elastography (MRE)-based stiffness to noninvasively predict the status of Ki67 proliferation index (PI) and Cytokeratin-19 (CK19) in hepatocellular carcinoma (HCC).
methodsTwo hundred and nineteen patients with histologically proven HCCs (high/low Ki67 PI, N = 134/85; +/-CK19, N = 47/172) who underwent preoperative MRI and MRE examinations were retrospectively enrolled. Imaging features and clinical information were analyzed to develop the clinical-radiologic models. Logistic regression and area under the receiver operating characteristic curve (AUC) analyses were used to evaluate the status of Ki67 PI and CK19, and their model performances.
resultsTumor stiffness (TS) (p = 0.004) and TS/liver stiffness (LS) (p < 0.001) were significantly independent predictors of high Ki67 PI and positive CK19, respectively. By incorporating TS or TS/LS value, the AUCs of the clinical-radiological models have been improved for identifying high Ki67 PI from 0.796 to 0.819 (p = 0.113), and positive CK19 from 0.817 to 0.852 (p = 0.026). Patients with predicted high Ki67 PI/positive CK19 based on the combined models had worse recurrence-free survival (RFS) and overall survival (OS) than those with low Ki67 PI/negative CK19 (all p < 0.05), respectively. The combined statuses of predicted Ki67 PI and CK19 stratified patients into three distinct subgroups with significantly different RFS and OS (all p < 0.05). Notably, patients with predicted high Ki67 PI and positive CK19 had the worst prognosis.
conclusionsThree-dimensional MRE could be a promising tool for evaluating and stratifying the prognosis of HCC patients by predicting the status of Ki67 PI and CK19 preoperatively. KEY POINTS: Question Can MRE-based stiffness predict Ki67 PI and Cytokeratin 19 (CK19) in HCC? Findings MRE-based stiffness is an independent predictor of high Ki67 PI and CK19-positive and improves the diagnostic performance of clinical-radiological models predicting Ki67 PI and CK19 status. Clinical relevance MRE-based stiffness is a noninvasive predictor of high Ki67 PI and CK19-positive, and in combination with clinical-radiological models can be used for prognostic analysis, which could refine patients' selection for adjuvant therapy or surveillance.
Indexed as
Identifiers
39964391What OpenQuestion holds
Registered trials
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.