The role of routine biopsy of the background liver in the management of hepatocellular carcinoma DOI
Seohyuk Lee, Muhammad S. Ahmed, Tamar H. Taddei

et al.

Human Pathology, Journal Year: 2023, Volume and Issue: 138, P. 18 - 23

Published: May 25, 2023

Language: Английский

Automated Ultrasonography of Hepatocellular Carcinoma using Discrete Wavelet Transform based Deep-learning Neural Network DOI Creative Commons
Se-Yeol Rhyou, Jae-Chern Yoo

Medical Image Analysis, Journal Year: 2025, Volume and Issue: 101, P. 103453 - 103453

Published: Jan. 5, 2025

Language: Английский

Citations

1

Mixture of Expert-Based SoftMax-Weighted Box Fusion for Robust Lesion Detection in Ultrasound Imaging DOI Creative Commons
Se-Yeol Rhyou,

Ming Yu,

Jae-Chern Yoo

et al.

Diagnostics, Journal Year: 2025, Volume and Issue: 15(5), P. 588 - 588

Published: Feb. 28, 2025

Background/Objectives: Ultrasound (US) imaging plays a crucial role in the early detection and treatment of hepatocellular carcinoma (HCC). However, challenges such as speckle noise, low contrast, diverse lesion morphology hinder its diagnostic accuracy. Methods: To address these issues, we propose CSM-FusionNet, novel framework that integrates clustering, SoftMax-weighted Box Fusion (SM-WBF), padding. Using raw US images from leading hospital, Samsung Medical Center (SMC), applied intensity adjustment, adaptive histogram equalization, low-pass, high-pass filters to reduce noise enhance resolution. Data augmentation generated ten per one image, allowing training 10 YOLOv8 networks. The [email protected] each network was used SoftMax-derived weights SM-WBF. Threshold-lowered bounding boxes were clustered using Density-Based Spatial Clustering Applications with Noise (DBSCAN), outliers managed within clusters. SM-WBF reduced redundant boxes, padding enriched features, improving classification Results: accuracy improved 82.48% 97.58% sensitivity reaching 100%. increased 56.11% 95.56% after clustering Conclusions: CSM-FusionNet demonstrates potential significantly improve reliability US-based detection, aiding precise clinical decision-making.

Language: Английский

Citations

1

Delta-radiomics in cancer immunotherapy response prediction: A systematic review DOI Creative Commons
Engy Abbas, Salvatore Claudio Fanni, Claudio Bandini

et al.

European Journal of Radiology Open, Journal Year: 2023, Volume and Issue: 11, P. 100511 - 100511

Published: July 18, 2023

The new immunotherapies have not only changed the oncological therapeutic approach but also made it necessary to develop imaging methods for assessing response treatment. Delta radiomics consists of analysis radiomic features variation between different medical images, usually before and after therapy. This review aims evaluate role delta in immunotherapy assessment. A systematic search was performed PubMed, Scopus, Web Of Science using "delta AND immunotherapy" as terms. included articles' methodological quality measured Radiomics Quality Score (RQS) tool. Thirteen articles were finally review. Overall, RQS studies ranged from 4 17, with a mean total 11,15 ± 4,18 corresponding percentage 30.98 11.61 %. Eleven out 13 at multiple time points. All feature reduction. No study carried prospective validation, decision curve analysis, or cost-effectiveness analysis. has been demonstrated useful evaluating oncologic patients undergoing immunotherapy. overall found law, due lack design external validation. Thus, further efforts are needed bring step closer clinical implementation.

Language: Английский

Citations

17

Biosensing of Alpha-Fetoprotein: A Key Direction toward the Early Detection and Management of Hepatocellular Carcinoma DOI Creative Commons

Lohit Ramachandran,

Farah Abul Rub,

Amro Hajja

et al.

Biosensors, Journal Year: 2024, Volume and Issue: 14(5), P. 235 - 235

Published: May 8, 2024

Hepatocellular carcinoma (HCC) is currently one of the most prevalent cancers worldwide. Associated risk factors include, but are not limited to, cirrhosis and underlying liver diseases, including chronic hepatitis B or C infections, excessive alcohol consumption, nonalcoholic fatty disease (NAFLD), exposure to chemical carcinogens. It crucial detect this early on before it metastasizes adjoining parts body, worsening prognosis. Serum biomarkers have proven be a more accurate diagnostic tool compared imaging. Among various markers such as nucleic acids, circulating genetic material, proteins, enzymes, other metabolites, alpha-fetoprotein (AFP) protein marker primarily used diagnose HCC. However, current methods need large sample carry high cost, among challenges, which can improved using biosensing technology. Early detection AFP prevent severe progression ensure better management HCC patients. This review sheds light development in human body. Afterward, we outline types biosensors (optical, electrochemical, mass-based), well relevant studies modalities for non-invasive monitoring AFP. The also explains these sensing platforms, substrates, surface modification agents, fluorescent probes develop biosensors. Finally, challenges future trends routine clinical analysis discussed motivate further developments.

Language: Английский

Citations

7

Clinical impact of CEUS on non-characterizable observations and observations with intermediate probability of malignancy on CT/MRI in patients at risk for HCC DOI Creative Commons
Yuko Kono, Fabio Piscaglia, Stephanie R. Wilson

et al.

Abdominal Radiology, Journal Year: 2024, Volume and Issue: 49(8), P. 2639 - 2649

Published: June 11, 2024

Abstract Background Hepatocellular carcinoma (HCC) is a unique cancer allowing tumor diagnosis with identification of definitive patterns enhancement on contrast-enhanced imaging, avoiding invasive biopsy. However, it still unclear to what extent Contrast-Enhanced Ultrasound (CEUS) clinically useful additional step when Computed tomography (CT) or Magnetic resonance imaging (MRI) are inconclusive. Methods A prospective international multicenter validation study for CEUS Liver Imaging Reporting and Data System (LI-RADS) was conducted between January 2018 August 2021. 646 patients at risk HCC focal liver lesions were enrolled. performed using an intravenous ultrasound contrast agent within 4 weeks CT/MRI. nodules categorized based LI-RADS (LR) criteria. Histology one-year follow-up CT/MRI results used as the reference standard. The diagnostic performance evaluated inconclusive scan in two scenarios which AASLD recommends repeat follow-up: observations deemed non-characterizable (LR-NC) indeterminate probability malignancy (LR-3). Results 75 CT MRI LR-3 ( n = 54) LR-NC 21) recategorization such into different LR category (namely, one among LR-1, LR-2, LR-5, LR-M, LR-TIV) resulted management recommendation changes 33.3% (25/75) all but (96.0%, 24/25) observation, new recommendations correct. Conclusion change substantial number initial characterization, identifying both non-malignant HCC, potentially accelerating process alleviating need biopsy imaging. ClinicalTrials.gov number, NCT03318380.

Language: Английский

Citations

5

Imaging Investigation of Hepatocellular Carcinoma Progress via Monitoring γ-Glutamyltranspeptidase Level with a Near-Infrared Fluorescence/Photoacoustic Bimodal Probe DOI
Kai Wang, Xu-Yang Chen, Wendong Liu

et al.

Analytical Chemistry, Journal Year: 2023, Volume and Issue: 95(38), P. 14235 - 14243

Published: Aug. 31, 2023

Hepatocellular carcinoma (HCC) is one of the main principal causes cancer death, and late definite diagnosis limits therapeutic approaches in time. The early HCC essential, previous investigations on biomarkers inferred that γ-glutamyltranspeptidase (GGT) level could indicate process. Herein, a near-infrared fluorescence/photoacoustic (NIRF/PA) bimodal probe, CySO3-GGT, was developed for monitoring GGT thus to image After in-solution tests, response convinced. various processes were imaged by CySO3-GGT at cellular level. Then, CCl4-induced (both induction treatment) subcutaneous orthotopic xenograft mice models selected. All throughout achieved NIRF PA imaging In particular, effectively realize 3D nodule visualizing boundary between tumor normal tissue. information here might offer significant guidance dynamic near future.

Language: Английский

Citations

13

Decoding the Role of O-GlcNAcylation in Hepatocellular Carcinoma DOI Creative Commons
Xinyu Zhou,

Sirui Hang,

Qingqing Wang

et al.

Biomolecules, Journal Year: 2024, Volume and Issue: 14(8), P. 908 - 908

Published: July 25, 2024

Post-translational modifications (PTMs) influence protein functionality by modulating stability, localization, and interactions with other molecules, thereby controlling various cellular processes. Common PTMs include phosphorylation, acetylation, ubiquitination, glycosylation, SUMOylation, methylation, sulfation, nitrosylation. Among these modifications, O-GlcNAcylation has been shown to play a critical role in cancer development progression, especially hepatocellular carcinoma (HCC). This review outlines the of progression HCC. Moreover, we delve into underlying mechanisms HCC highlight compounds that target O-GlcNAc transferase (OGT) O-GlcNAcase (OGA) improve treatment outcomes. Understanding will offer insights potential therapeutic strategies targeting OGT OGA, which could for patients

Language: Английский

Citations

4

Prediction of early postoperative recurrence of hepatocellular carcinoma by habitat analysis based on different sequence of contrast-enhanced CT DOI Creative Commons
Yubo Zhang,

Hongyan Ma,

Peng Lei

et al.

Frontiers in Oncology, Journal Year: 2025, Volume and Issue: 14

Published: Jan. 3, 2025

To develop a habitat imaging method for preoperative prediction of early postoperative recurrence hepatocellular carcinoma. A retrospective cohort study was conducted to collect data on 344 patients who underwent liver resection HCC. The internal subregion the tumor objectively delineated and clinical features were also analyzed construct models. Radiomics feature extraction performed subregions arterial portal venous phase images. Machine learning classification models constructed as fusion model combining three different models, assessed. comprehensive analysis hepatic cancer at one two centers. it found that combined SVM yielded superior results after comparing various metrics, such AUC, accuracy, sensitivity, specificity, DCA. Habitat sequential CT images can delineate distinct within tumor, offering valuable insights HCC recurrence.

Language: Английский

Citations

0

Aggregation-induced magnetic coupling nanoassemblies that effectively switched from T to T contrast imaging for highly specific MRI detection of micron sized hepatocellular carcinoma DOI
Hao Hong, Yanan Zhang, Miao Yan

et al.

Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: unknown, P. 159882 - 159882

Published: Jan. 1, 2025

Language: Английский

Citations

0

A Bi-modal Temporal Segmentation Network for Automated Segmentation of Focal Liver Lesions in Dynamic Contrast-enhanced Ultrasound DOI

Yu Duan,

Siyuan Shi,

Haiyi Long

et al.

Ultrasound in Medicine & Biology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

Citations

0