ArticleEuropean radiology2020
Differential diagnosis of nasopharyngeal carcinoma and nasopharyngeal lymphoma based on DCE-MRI and RESOLVE-DWI.
Article in European radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed, 61 citations in OpenAlex.
- Trial
- Rosai-Dorfman Disease in Nasal Cavity and Paranasal Sinuses: Imaging Features in a Series of 23 Patients.Head & neck · 2026Article
- Dual-energy CT for distinguishing between T3 and T4 stages of locally advanced nasopharyngeal carcinoma.Quantitative imaging in medicine and surgery · 2025Article
- A Signature of Typical MRI Features and Time-Intensity Curve Achieves Accurate Diagnosis of Distensible Orbital Venous Malformation.Investigative ophthalmology & visual science · 2025Article
- [The value of DCE-MRI combined with spectral CT in the short-term efficacy of concurrent chemoradiotherapy for nasopharyngeal carcinoma].Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery · 2025Article
- Role of resolve DWI and DCE MRI in differentiating benign and malignant skull base lesions.Neuroradiology · 2025Article
- [A deep learning method for differentiating nasopharyngeal carcinoma and lymphoma based on MRI].Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery · 2025Article
- Comparison of four MRI diffusion models to differentiate benign from metastatic retropharyngeal lymph nodes.European radiology experimental · 2025Article
- Using non-Gaussian diffusion models to distinguish benign from malignant head and neck lesions.Frontiers in oncology · 2025Article
- Added-value of dynamic contrast-enhanced MRI to conventional MRI for the differentiation between inflammatory myofibroblastic tumor and squamous cell carcinoma in the sinonasal region.Neuroradiology · 2024Article
- Value of multiparametric magnetic resonance imaging in distinguishing sinonasal lymphoma from sinonasal carcinoma: a case control study.BMC medical imaging · 2024Article
- Synthetic MRI and diffusion-weighted imaging for differentiating nasopharyngeal lymphoma from nasopharyngeal carcinoma: combination with morphological features.The British journal of radiology · 2024Article
- Artificial intelligence for diagnosis and prognosis prediction of natural killer/T cell lymphoma using magnetic resonance imaging.Cell reports. Medicine · 2024Article
- Value of radiomics and deep learning feature fusion models based on dce-mri in distinguishing sinonasal squamous cell carcinoma from lymphoma.Frontiers in oncology · 2024Article
- A collision tumor of nasopharyngeal carcinoma and primary mantle cell lymphoma in the nasopharynx: a case report and review of the literature.BMC oral health · 2023Review
- Artificial intelligence aided precise detection of local recurrence on MRI for nasopharyngeal carcinoma: a multicenter cohort study.EClinicalMedicine · 2023Article
- Readout-segmented diffusion weighted imaging of the testis at 3.0 T: comparison with single-shot echo-planar imaging.Abdominal radiology (New York) · 2023Article
- Non-invasive evaluation of the pathological and functional characteristics of chronic kidney disease by diffusion kurtosis imaging and intravoxel incoherent motion imaging: comparison with conventional DWI.The British journal of radiology · 2023Article
- Multi-b-values-fitting readout-segmentation of long variable echo-trains diffusion-weighted imaging (RESOLVE DWI) in evaluation of disease activity and curative effect of axial spondyloarthritis (axSpA).Frontiers in immunology · 2023Article
- A practical overview of CT and MRI features of developmental, inflammatory, and neoplastic lesions of the sphenoid body and clivus.Neuroradiology · 2022Review
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo explore the utility of dynamic contrast-enhanced MRI (DCE-MRI) and readout-segmented diffusion-weighted imaging (RESOLVE-DWI) in the differentiation of nasopharyngeal carcinoma (NPC) and nasopharyngeal lymphoma (NPL).
methodsSixty-two patients with NPC and 39 patients with NPL who underwent DCE-MRI and RESOLVE-DWI examinations were evaluated. The time signal-intensity curve (TIC) types, time to peak (TTP), enhancement peak (EP), maximum contrast enhancement ratio (MCER), washout ratio (WR), apparent diffusion coefficient (ADC), and relative ADC (rADC) values were calculated. Statistical analysis between the two groups was performed to determine the statistical significance of each parameter. Receiver operating characteristic (ROC) curve analysis and binary logistic regression analysis were used to assess the diagnostic ability of single and combined metrics for distinguishing NPC from NPL.
resultsThe most common TIC curve was type III in patients with NPC (n = 26), while the majority of the curves were types I (n = 14) and II (n = 19) in patients with NPL. TTP, EP, MCER, ADC, and rADC were statistically significantly different between NPCs and NPLs (p < 0.05). Among these factors, ADC revealed the most reliable diagnostic performance, followed by rADC, TTP, MCER, and EP. Moreover, the diagnostic efficiency of the combined DCE-MRI parameters was higher than that of TTP, MCER, and EP each alone. In addition, the combination of all DCE-MRI and DWI parameters together demonstrated the highest diagnostic efficiency (area under the curve = 0.961). However, none of the parameters was significantly different between keratinising NPC and non-keratinising NPC or between NK/T lymphoma and diffuse large B cell lymphoma (all p > 0.05).
conclusionDCE-MRI and RESOLVE-DWI are effective in differentiating NPC from NPL. KEY POINTS: • RESOLVE offers high image quality in the head and neck regions. • Dynamic contrast-enhanced MRI and RESOLVE-DWI help clinicians to make the differential diagnosis between NPC and NPL. • The combination of all the DCE-MRI and DWI parameters together demonstrated the highest diagnostic efficiency compared with each parameter alone.
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