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Purpose: To investigate the predictive power of mono-exponential, bi-exponential, and stretched exponential signal models of intravoxel incoherent motion (IVIM) in prognosis and survival risk of laryngeal and hypopharyngeal squamous cell carcinoma (LHSCC) patients after chemoradiotherapy.
Materials And Methods: Forty-five patients with laryngeal or hypopharyngeal squamous cell carcinoma were retrospectively enrolled. All patients had undergone pretreatment IVIM examination, subsequently, mean apparent diffusion coefficient (ADCmean), maximum ADC (ADCmax), minimum ADC (ADCmin) and ADCrange (ADCmax - ADCmean) by mono-exponential model, true diffusion coefficient (D), pseudo diffusion coefficient (D*), perfusion fraction (f) by bi-exponential model, distributed diffusion coefficient (DDC), and diffusion heterogeneity index (α) by stretched exponential model were measured. Survival data were collected for 5 years.
Results: Thirty-one cases were in the treatment failure group and fourteen cases were in the local control group. Significantly lower ADCmean, ADCmax, ADCmin, D, f, and higher D* values were observed in the treatment failure group than in the local control group (p < 0.05). D* had the greatest AUC of 0.802, with sensitivity and specificity of 77.4 and 85.7% when D* was 38.85 × 10 mm/s. Kaplan-Meier survival analysis showed that the curves of N stage, ADCmean, ADCmax, ADCmin, D, D*, f, DDC, and α values were significant. Multivariate Cox regression analysis showed ADCmean and D* were independently correlated with progression-free survival (PFS) (hazard ratio [HR] = 0.125, p = 0.001; HR = 1.008, p = 0.002, respectively).
Conclusion: The pretreatment parameters of mono-exponential and bi-exponential models were significantly correlated with prognosis of LHSCC, ADCmean and D* values were independent factors for survival risk prediction.
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http://dx.doi.org/10.1007/s11604-023-01399-x | DOI Listing |
J Chem Phys
September 2025
Center of Materials and Nanotechnologies (CEMNAT), Faculty of Chemical Technology, University of Pardubice, nam. Cs legii 565, 530 02 Pardubice, Czech Republic.
Joint direct microscopy-calorimetry measurements of crystal growth were performed for a 60 nm amorphous Sb2S3 film deposited either on a Kapton foil or on a soda-lime glass. Calorimetric crystallization proceeded in two steps, originating either from mechanical and stress-induced defects (230-275 °C) or from homogeneously formed nuclei (255-310 °C); both processes exhibited an identical activation energy of 200 kJ mol-1. At temperatures <230 °C, a Sb2O3 crystalline phase formed along the rhombohedral Sb2S3 structure.
View Article and Find Full Text PDFFront Oncol
August 2025
Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, China.
Purpose: To develop a magnetic resonance imaging (MRI)-based radiomics nomogram to predict lymphovascular space invasion (LVSI) status in patients with early-stage cervical adenocarcinoma (CAC).
Methods: Clinicopathological and MRI data from 310 patients with histopathologically confirmed early-stage CAC were retrospectively analyzed. Patients were divided into training (n = 186) and validation (n = 124) cohorts.
ACS Omega
September 2025
Department of Chemistry, American University of Beirut, P.O. Box 11-0236, Riad El-Solh, 1107 2020 Beirut, Lebanon.
Fractal growth in reaction-diffusion frameworks (RDF) offers a powerful paradigm for understanding self-assembly in chemical and materials systems. However, its connection to diffusion-limited aggregation (DLA) remains underexplored. Here, we present the first quantitative demonstration of RDF-driven fractal crystallization of benzoic acid (BA), revealing a direct correlation among fractal dimension, diffusion rate, and gel-matrix chemistry.
View Article and Find Full Text PDFOncol Lett
November 2025
Department of Radiology, Zibo Central Hospital, Zibo, Shandong 255020, P.R. China.
Clear cell renal cell carcinoma (ccRCC) is a malignant tumor, originating from the renal epithelium, and accounts for ~85% of RCC cases. The present study aimed to validate the efficacy of an MRI deep learning (DL) model to preoperatively predict the pathological grading of ccRCC. Therefore, a DL algorithm was constructed and trained using diffusion weighted imaging (DWI) and diffusion kurtosis imaging (DKI) sequence images.
View Article and Find Full Text PDFJ Texture Stud
October 2025
Faculty of Chemical-Metallurgical Engineering, Department of Food Engineering, Istanbul Technical University, Sarıyer, Istanbul, Türkiye.
In this study, potato slices were fried in four different vegetable oils (corn, olive, palm olein, and sunflower) to investigate how oil type influences the characteristics of potato chips. The diffusion coefficient of oils was attempted to be correlated with the final moisture, oil uptake, and textural parameters of potato chips. The diffusion coefficients were determined using two approaches.
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