Hepatobiliary phase MRI-guided radiofrequency ablation of small hepatocellular carcinomas invisible on precontrast MRI

European Journal of Radiology, Journal Year: 2025, Volume and Issue: 186, P. 112026 - 112026

Published: March 1, 2025

Language: Английский

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A nomogram based on quantitative MR signal intensity predicts early response to combined systemic treatment in patients with hepatocellular carcinoma

Frontiers in Oncology, Journal Year: 2025, Volume and Issue: 15

Published: March 13, 2025

Objective This study aimed to develop and evaluate the value of a nomogram based on quantitative MR signal intensity predict response combined systemic therapy anti-angiogenesis immune checkpoint inhibitor (ICI) in hepatocellular carcinoma (HCC) patients. Methods 117 HCC patients who underwent treatment at tertiary hospital between September 2020 May 2024 were enrolled divided into development cohort (n = 82) validation 35). The predictive relative attenuation index (rSIAI) enhanced parameters laboratory disease control was evaluated using receiver operating characteristic (ROC) curves, with determination optimal cut-off values (COVs) accomplished via Youden’s index. Univariate multivariable analyses conducted association COVs control. validity further confirmed through chi-square testing calculation Cramer’s V coefficient (V). A constructed logistic regression model for clinical applicability. Results rSIAI from arterial portal phase (rSI_ap) combination peripheral T-cell subset (CD4+) achieved most accurate performance outcome compared rSI_ap or CD4+ alone, an area under curve (AUC) ROC 0.845 (95% CI, 0.748-0.915). constructed. Calibration decision relevance nomogram. Conclusion has potential be non-invasive tool predicting advanced have received ICI therapies.

Language: Английский

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Extracellular vesicle digital scoring assay for assessment of treatment responses in hepatocellular carcinoma patients

Journal of Experimental & Clinical Cancer Research, Journal Year: 2025, Volume and Issue: 44(1)

Published: May 1, 2025

Language: Английский

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Inter-reader agreement of RECIST and mRECIST criteria for assessing response to transarterial chemoembolization in hepatocellular carcinoma

BMC Medical Imaging, Journal Year: 2025, Volume and Issue: 25(1)

Published: May 3, 2025

Abstract Objectives To evaluate the reproducibilities of Response Evaluation Criteria in Solid Tumors (RECIST) and modified RECIST (mRECIST) for hepatocellular carcinoma (HCC) patients treated with transarterial chemoembolization (TACE) using contrast-enhanced computed tomography (CT). Methods This retrospective study included 105 consecutive confirmed HCC recruited from November 2002 to June 2012. The protocol has been pre-registered at ( https://osf.io/nxg4q/ ) on Open Science Framework (OSF) platform. Patients pre-procedural follow-up CT scans who had solely received TACE were included. tumor response evaluation was conducted 1.1 mRECIST guidelines. Three experienced board-certified abdominal radiologists interpreted scans. Results For pre-procedure CT, agreement more excellent when guidelines a “marginally significant” p-value 0.056. trend continued post-procedural scans, again showing significantly higher 0.001. When evaluating four categories response, Gwet’s coefficient 0.90 (CI = 0.83 0.97) 0.80 0.63 0.90) mRECIST. Conversely, Fleiss Kappa analysis demonstrated guideline. There an insignificant difference inter-reader categorizing 0.101. Conclusion Both guidelines’ reproducibility assessing through after procedure excellent, RECIST’s being very slightly better.

Language: Английский

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Assembly fluorescent probe-based detection of gamma-glutamyl transferase activity in tumor

Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Journal Year: 2025, Volume and Issue: 340, P. 126381 - 126381

Published: May 10, 2025

Language: Английский

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Recent Advances in Liver Tissue Engineering as an Alternative and Complementary Approach for Liver Transplantation

Current Issues in Molecular Biology, Journal Year: 2023, Volume and Issue: 46(1), P. 262 - 278

Published: Dec. 29, 2023

Acute and chronic liver diseases cause significant morbidity mortality worldwide, affecting millions of people. Liver transplantation is the primary intervention method, replacing a non-functional with functional one. However, field faces challenges such as donor shortage, postoperative complications, immune rejection, ethical problems. Consequently, there an urgent need for alternative therapies that can complement traditional or serve method. In this review, we explore potential tissue engineering supplementary approach to transplantation, offering benefits patients severe dysfunctions.

Language: Английский

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Volatile organic compounds for diagnosis of early hepatocellular carcinoma in at-risk patients

Clinica Chimica Acta, Journal Year: 2024, Volume and Issue: 556, P. 117831 - 117831

Published: Feb. 18, 2024

Language: Английский

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Hepatocellular carcinoma imaging: Exploring traditional techniques and emerging innovations for early intervention

Medicine in Novel Technology and Devices, Journal Year: 2024, Volume and Issue: 24, P. 100327 - 100327

Published: Aug. 27, 2024

Hepatocellular carcinoma (HCC) continues to be a diagnostic and therapeutic challenge for healthcare systems around the world in addition being significant contributor oncologic mortality. To improve standard of life survival patients, early diagnosis condition subsequent appropriate treatment are essential. observation, detection, diagnosis, follow-up all depend heavily on imaging modalities. They provide valuable information about characteristics HCC nodules, aiding non-invasive staging. Imaging has evolved beyond simply confirming suspected management hepatocellular (HCC). Several traditional modalities, including PET/CT, MRI, MR elastography, ultrasound (US), endoscopy, along with next-generation modalities such as photoacoustic imaging, Cerenkov luminescence utilization contrasting agents further enhance their capabilities HCC. The selection most modality agent depends various factors, clinical scenario, patient characteristics, availability resources. In these advancements, artificial intelligence (AI) developed tool radiology this review, we highlighted important techniques managing patients high risk

Language: Английский

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Low-KeV Virtual Monoenergetic Dual-Energy CT with Deep Learning Reconstruction for Assessing Hepatocellular Carcinoma

Journal of Medical and Biological Engineering, Journal Year: 2024, Volume and Issue: 44(2), P. 293 - 306

Published: March 9, 2024

Language: Английский

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Prognostic Impact of Metabolic Syndrome and Steatotic Liver Disease in Hepatocellular Carcinoma Using Machine Learning Techniques

Metabolites, Journal Year: 2024, Volume and Issue: 14(6), P. 305 - 305

Published: May 27, 2024

Metabolic dysfunction-associated steatotic liver disease (MASLD) currently represents the predominant cause of chronic and is closely linked to a significant increase in risk hepatocellular carcinoma (HCC), even absence cirrhosis. In this retrospective multicenter study, machine learning (ML) methods were employed investigate relationship between metabolic profile prognosis at diagnosis total 219 HCC patients. The eXtreme Gradient Boosting (XGB) method demonstrated superiority identifying mortality predictors our Etiology was most determining prognostic factor followed by Barcelona Clinic Liver Cancer (BCLC) Eastern Cooperative Oncology Group (ECOG) classifications. Variables related development hepatic steatosis syndrome, such as elevated levels alkaline phosphatase (ALP), uric acid, obesity, alcohol consumption, high blood pressure (HBP), had impact on prediction. This study underscores importance syndrome progression secondary MASLD. use ML techniques provides an effective tool improve stratification individualized therapeutic management these

Language: Английский

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