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Objectives: This study aimed to develop and evaluate an optimized DWI-based virtual MR elastography (vMRE) technique for diagnosing focal liver lesions (FLLs) and monitoring therapeutic responses in malignant tumors, comparing its performance with traditional MRE.
Materials And Methods: This retrospective analysis of 142 patients with FLLs using six b-value DWI (150-1500 s/mm2) to calculate eight apparent diffusion coefficient (ADC) combinations. Linear regression analysis was performed to evaluate the correlation between ADC and traditional MRE, and a vMRE formula was constructed. Diagnostic performance of vMRE and MRE was compared for FLLs. Prognostic capabilities of both techniques were assessed in malignant tumors using paired t-tests across three response groups at two time points.
Results: Significant negative correlations were found between ADC values and MRE stiffness (all P < 0.001), and strongest at b = 200/1500 s/mm (rho = - 0.785). vMRE and MRE effectively differentiated benign/malignant lesions (AUCs: 0.957 vs. 0.944, P = 0.440), with vMRE showing higher specificity (95.1 % vs. 85.4 %) and MRE better sensitivity (89.2 % vs. 86.3 %). Longitudinal analysis revealed MRE detected earlier stiffness reductions in partial responders (-31.0 %, P = 0.01), while vMRE showed a non-significant decrease (-12.5 %, P > 0.05). Both modalities identified significant stiffness escalation in progressors (vMRE + 40.1 %, MRE + 43.7 %, both P < 0.01) but not in stable disease (all P > 0.05).
Conclusions: Optimized DWI-based vMRE effectively differentiates FLLs, offering high specificity for diagnosis and comparable prognostic capabilities to MRE in monitoring malignant tumor responses.
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http://dx.doi.org/10.1016/j.ejrad.2025.112285 | DOI Listing |
Cancer Med
August 2025
Department of Radiology, Affiliated Hospital of Hebei University, Baoding, People's Republic of China.
Objective: To establish a model based on intratumoral and peritumoral radiomics for preoperatively differentiating solitary intrahepatic mass-forming cholangiocarcinoma (IMCC) lesions from colorectal cancer liver metastases (CRLM).
Methods: Preoperative MRI scans from IMCC patients were retrospectively obtained from three academic medical centers. Radiomics features were extracted from the intratumoral and multiple peritumoral regions.
Eur J Radiol
October 2025
Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China. Electronic address:
Objectives: This study aimed to develop and evaluate an optimized DWI-based virtual MR elastography (vMRE) technique for diagnosing focal liver lesions (FLLs) and monitoring therapeutic responses in malignant tumors, comparing its performance with traditional MRE.
Materials And Methods: This retrospective analysis of 142 patients with FLLs using six b-value DWI (150-1500 s/mm2) to calculate eight apparent diffusion coefficient (ADC) combinations. Linear regression analysis was performed to evaluate the correlation between ADC and traditional MRE, and a vMRE formula was constructed.
Phys Med
August 2025
Politecnico di Milano, Department of Electronics, Information and Bioengineering, Milano, Italy.
Purpose: To integrate patient-specific cell count data from diffusion-weighted MRI (DWI) into the linear-quadratic (LQ) Poisson tumor control probability (TCP) model for sacral chordomas (SC) treated with carbon ion radiotherapy (CIRT), aiming to improve local control (LC) and local relapse (LR) prediction.
Materials And Methods: We considered data from 37 of the first 50 SC patients consecutively treated at the National Centre for Oncological Hadrontherapy (CNAO, Pavia, Italy). LQ Poisson formalism was revised to integrate either a linear (TCP) or logarithmic (TCP) dependence on clonogenic cell count, derived from baseline DWI through an optimal match with in-silico simulations.
Neurosurg Rev
June 2025
Department of Neurosurgery, Fengtai District, Beijing Tiantan Hospital and Beijing Neurosurgical Institute, Capital Medical University, Nansihuanxi Road, Beijing, 100071, China.
This study developed a DWI-based radiomics nomogram to predict impaired health-related quality of life (HRQOL) in patients with unruptured intracranial aneurysms after stent placement, focusing on those who developed new iatrogenic cerebral infarct (NICI). Data from 522 patients across multiple hospitals were divided into a training cohort and two external validation cohorts. Radiomic and deep learning features from DWI-based infarct images were selected through super-resolution reconstruction.
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June 2025
Department of Interventional Radiology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610041, China.
Introduction: It is not rare to experience a biochemical recurrence (BCR) following radical prostatectomy (RP) for prostate cancer (PCa). It has been reported that early detection and management of BCR following surgery could improve survival in PCa. This study aimed to develop a nomogram integrating deep learning-based radiomic features and clinical parameters to predict 1-year BCR after RP and to examine the associations between radiomic scores and the tumor microenvironment (TME).
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