ArticleInsights into imaging2023
Pretreatment synthetic magnetic resonance imaging predicts disease progression in nonmetastatic nasopharyngeal carcinoma after intensity modulation radiation therapy.
Article in Insights into imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 12 citations in OpenAlex.
- The value of time-dependent diffusion MRI in nasopharyngeal carcinoma: correlation with prognostic factors.European radiology · 2026Article
- MRI-based assessment of tumor aggressiveness in nasopharyngeal carcinoma: risk stratification and survival prediction.European radiology · 2026Article
- Diffusion weighted imaging-based tumor growth rate for predicting long-term survival in nasopharyngeal carcinoma.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026Article
- The prognostic value of intra- and peritumoral habitat analysis in nasopharyngeal carcinoma: combining IVIM and ASL.European radiology · 2026Article
- Non-Gaussian diffusion MRI using CTRW and FROC models for early treatment response assessment in nasopharyngeal carcinoma.BMC medical imaging · 2026Article
- Quantitative MRI in the assessment of clival invasion in locally advanced nasopharyngeal carcinoma.Frontiers in oncology · 2026Article
- Whole-tumor histogram analysis of synthetic MRI relaxation maps for nasopharyngeal carcinoma: correlations with histopathologic components.Japanese journal of radiology · 2025Article
- Multiplexed sensitivity encoding diffusion-weighted imaging in the assessment of meningiomas: improving the image quality, grading accuracy, and proliferative activity evaluation.Quantitative imaging in medicine and surgery · 2025Article
- Whole-tumor histogram analysis of synthetic MRI for discriminating benign from malignant sinonasal tumors: correlations with histopathologic factors.Quantitative imaging in medicine and surgery · 2025Article
- Prognostic Value of Pre-Treatment Diffusion Kurtosis Imaging for Progression-Free Survival Prediction in Advanced Nasopharyngeal Carcinoma.Cancer medicine · 2025Article
- A nomogram with the peripheral blood neutrophil-to-lymphocyte ratio before treatment predicts the survival of patients with nasopharyngeal carcinoma.Frontiers in oncology · 2025Article
- Synthetic MRI and amide proton transfer-weighted MRI for differentiating between benign and malignant sinonasal lesions.European radiology · 2024Article
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Authors and funding
10 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTo investigate the potential of synthetic MRI (SyMRI) in the prognostic assessment of patients with nonmetastatic nasopharyngeal carcinoma (NPC), and the predictive value when combined with diffusion-weighted imaging (DWI) as well as clinical factors.
methodsFifty-three NPC patients who underwent SyMRI were prospectively included. 10th Percentile, Mean, Kurtosis, and Skewness of T1, T2, and PD maps and ADC value were obtained from the primary tumor. Cox regression analysis was used for analyzing the association between SyMRI and DWI parameters and progression-free survival (PFS), and then age, sex, staging, and treatment as confounding factors were also included. C-index was obtained by bootstrap. Moreover, significant parameters were used to construct models in predicting 3-year disease progression. ROC curves and leave-one-out cross-validation were used to evaluate the performance and stability.
resultsDisease progression occurred in 16 (30.2%) patients at a follow-up of 39.6 (3.5, 48.2) months. T1_Kurtosis, T1_Skewness, T2_10th, PD_Mean, and ADC were correlated with PFS, and T1_Kurtosis (HR: 1.093) and ADC (HR: 1.009) were independent predictors of PFS. The C-index of SyMRI and SyMRI + DWI + Clinic models was 0.687 and 0.779. Moreover, the SyMRI + DWI + Clinic model predicted 3-year disease progression better than DWI or Clinic model (p ≤ 0.008). Interestingly, there was no significant difference between the SyMRI model (AUC: 0.748) and SyMRI + DWI + Clinic model (AUC: 0.846, p = 0.092).
conclusionSyMRI combined with histogram analysis could predict disease progression in NPC patients, and SyMRI + DWI + Clinic model further improved the predictive performance.
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