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MRI and MRE images. 64 years old male patient with HCC in the RLL with unenhanced T1-imaging (a), MRE without (b) and with (c) liver detection system, 3D-fusion of MRI and MRE (d) and MAP T1 (e) and MAP T2 (f) imaging.
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The aim of this study was to detect a response difference in primary (PLC) and secondary liver tumors (SLC) with magnetic resonance elastography (MRE) after TACE therapy. Thirty-one patients (25/31 male; mean age 69.6 years [range: 39–85 years]) with repeated TACE therapy of HCC were compared with twenty-seven patients (27/27 female; mean age 61.2...
Citations
... TACE aggravates fibrosis and increases the stiffness of liver cancer tissues within short time periods 82,83 . Haas et al. 84 have demonstrated that the size of liver tumors decreases after treatment with TACE, but the stiffness increases. Praktjknjo et al. 85 have also shown greater stiffness in liver cancer tissue 3 days after TACE treatment than in non-treated liver cancer tissue. ...
Over the past 2 decades, cancer stem cells (CSCs) have been identified as the root cause of cancer occurrence, progression, chemoradioresistance, recurrence, and metastasis. Targeting CSCs is a novel therapeutic strategy for cancer management and treatment. Liver cancer (LC) is a malignant disease that can endanger human health. Studies are increasingly suggesting that changes in the liver mechanical microenvironment are a primary driver triggering the occurrence and development of liver cancer. In this review, we summarize current understanding of the roles of the liver mechano-microenvironment and liver cancer stem cells (LCSCs) in liver cancer progression. We also discuss the relationship between the mechanical heterogeneity of liver cancer tissues and LCSC recruitment and metastasis. Finally, we highlight potential mechanosensitive molecules in LCSCs and mechanotherapy in liver cancer. Understanding the roles and regulatory mechanisms of the mechano-microenvironment and LCSCs may provide fundamental insights into liver cancer progression and aid in further development of novel therapeutic strategies.
... In 1991, Ophir¯rst proposed a static stress elastography method and revealed the feasibility of elastography by measuring the distribution of strain and elastic modulus of biological tissues during the experiment. 35 In recent years, for breast cancer imaging, the main elastography techniques are ultrasonic strain elastography (USE), 36 ultrasonic shear wave elastography (USWE), 37 magnetic resonance elastography (MRE), 38 and photoacoustic elastography (PAE). 39 USE and USWE are the most widely utilized methods clinically. ...
Microwave-induced thermoacoustic imaging (MTI) has the advantages of high resolution, high contrast, non-ionization, and non-invasive. Recently, MTI was used in the field of breast cancer screening. In this paper, based on the finite element method (FEM) and COMSOL Multiphysics software, a three-dimensional breast cancer model suitable for exploring the MTI process is proposed to investigate the influence of Young’s modulus (YM) of breast cancer tissue on MTI. It is found that the process of electromagnetic heating and initial pressure generation of the entire breast tissue is earlier in time than the thermal expansion process. Besides, compared with normal breast tissue, tumor tissue has a greater temperature rise, displacement, and pressure rise. In particular, YM of the tumor is related to the speed of thermal expansion. In particular, the larger the YM of the tumor is, the higher the heating and contraction frequency is, and the greater the maximum pressure is. Different Young’s moduli correspond to different thermoacoustic signal spectra. In MTI, this study can be used to judge different degrees of breast cancer based on elastic imaging. In addition, this study is helpful in exploring the possibility of microwave-induced thermoacoustic elastic imaging (MTAE).
In addressing the challenge of optimizing targeted combined immunotherapy for advanced hepatocellular carcinoma (HCC), this study developed and validated a novel prognostic model, the Target Immunotherapy Predict Model (TIPM), utilizing ultrasound and serological markers. Data from patients at Mengchao Hepatobiliary Hospital and Fujian Provincial Cancer Hospital were analyzed, encompassing demographics, serological markers, and ultrasound findings, including tumor and peritumoral tissue stiffness changes pre- and post-treatment. The multivariate analysis revealed the neutrophil-to-lymphocyte ratio (NLR), ΔT (tumor stiffness change), tumor diameter, and albumin levels as independent predictors of therapy response. The TIPM model, integrating these factors, demonstrated superior predictive accuracy, validated by Receiver Operating Characteristic (ROC) curves, calibration curves, and decision curve analysis across both training and external validation cohorts. This predictive model stands to refine clinical decision-making, potentially improving treatment outcomes for advanced HCC patients by identifying those most likely to benefit from combined immunotherapy approaches
