Background: IVIM is a useful quantitative tool for predicting prognosis, but it is labor-intensive. Simplified b-value settings and post-processing could be more practicable for clinical applications.
Purpose: To assess the value of model-free parameters (virtual MR elastography [vMRE] and signature-index [S-index]) derived from IVIM in evaluating pathological indicators and long-term survival in nasopharyngeal carcinoma (NPC), and to compare those with model-based parameters.
Study Type: Prospective.
Population: One hundred six patients (median: 49.5 years, 19.8% females).
Field Strength/sequence: 3-T, IVIM, T1- and T2-weighted imaging, contrast-enhanced T1-weighted imaging.
Assessment: The volumes of primary tumors were separately delineated. vMRE and S-index were calculated based on two b-values (200 and 1500 s/mm), and correlations with pathological indicators (histology, epidermal growth factor receptor [EGFR] level) were analyzed. Six types of model-based parameters were constructed using all b-values. The value in predicting overall survival (OS) and progression-free survival (PFS) was calculated. The vMRE/S-index-Clinic model and tumor-node-metastasis (TNM) staging model were constructed.
Statistical Test: Spearman and intraclass correlation analysis (ICC), univariate and multivariate Cox analyses with seven clinical factors. Significance level: P-value < 0.05.
Results: The median follow-up duration was 63.0 (interquartile range: 55.9, 100.3) months. All parameters showed excellent agreement (all ICC ≥ 0.790). The vMRE/S-index was significantly correlated with EGFR level and histology. Moreover, the vMRE/S-index was an independent predictor of PFS (hazard ratio [HR]: 0.639 and 2.365, respectively) and OS (HR: 0.690 and 2.116, respectively). The performance of the vMRE/S-index (C-index: 0.585 ~ 0.631) was comparable to that of the model-based parameters (C-index: 0.551 ~ 0.630). The vMRE-Clinic model (C-index: 0.700 and 0.702 for PFS and OS, respectively) and the S-index-Clinic model (C-index: 0.703 and 0.709 for PFS and OS, respectively) demonstrated superior performance compared to TNM staging model.
Conclusion: Model-free parameters from IVIM can predict long-term survival in NPC.
Plain Language Summary: This study employed two simplified model-free parameters: the virtual MR Elastography (vMRE) to measure tissue stiffness and the signature index (S-index) to reveal the intricate tissues microstructures. These two parameters showed the comparable value in EGFR expression level and histology diagnosis as well as long-term survival prediction in nasopharyngeal carcinoma. Patients with high vMRE and low S-index value have favorable treatment outcome. Taking advantage of shorter MRI scan time and post-processing difficulty, the two model-free parameters showed good prospects in clinical application.
Evidence Level: 2 TECHNICAL EFFICACY: Stage 2.
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http://dx.doi.org/10.1002/jmri.29725 | DOI Listing |
J Magn Reson Imaging
March 2025
Department of Diagnostic and Interventional Radiology, University Hospital Ulm, Ulm, Germany.
J Magn Reson Imaging
March 2025
Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Background: IVIM is a useful quantitative tool for predicting prognosis, but it is labor-intensive. Simplified b-value settings and post-processing could be more practicable for clinical applications.
Purpose: To assess the value of model-free parameters (virtual MR elastography [vMRE] and signature-index [S-index]) derived from IVIM in evaluating pathological indicators and long-term survival in nasopharyngeal carcinoma (NPC), and to compare those with model-based parameters.
ACS Omega
March 2025
Department of Chemical Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam 781039, India.
Waste flowers constitute a significant portion of organic waste, offering the potential for sustainable waste management through pyrolysis. This study explores the pyrolysis behavior, kinetic parameters, and biochar production from waste flowers. Thermogravimetric analysis (TGA) was employed to examine thermal degradation characteristics under varying heating rates (10, 20, and 50 °C min).
View Article and Find Full Text PDFFood Res Int
February 2025
Tea Research Institute, Shandong Academy of Agricultural Sciences, Jinan 250100 China. Electronic address:
Latitude differences can significantly affect the quality of tea, while in-depth research in this field is lacking. This study investigates green teas from different latitudes in China using thermogravimetric analysis coupled with infrared spectroscopy and machine learning methods. Industrial and elemental analyses were first conducted to characterize their physicochemical properties.
View Article and Find Full Text PDFOral Oncol
March 2025
Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China. Electronic address:
Purpose: To evaluate the value of model-free parameters (virtual magnetic resonance elastography [vMRE] and signature index [S-index]) and tumor aggressiveness indicators (contralateral pharyngeal recess invasion [CPRI] and tumor growth type [TGT]) in forecasting 5-year treatment outcomes in nasopharyngeal carcinoma (NPC).
Materials And Methods: A total of 106 patients were included in this study. Only two b-values were employed to calculate vMRE and S-index.
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