ArticleDento maxillo facial radiology2023
Synthetic MRI for the quantitative and morphologic assessment of head and neck tumors: a preliminary study.
Article in Dento maxillo facial radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Added value of synthetic MRI in refining biparametric MRI VI-RADS for predicting muscle-invasive bladder cancer.Abdominal radiology (New York) · 2026Article
- Two-Minute Deep Learning-Powered Brain Quantitative Mapping: Accelerating Clinical Imaging With Synthetic Magnetic Resonance Imaging.JMIR medical informatics · 2026Article
- A novel synthetic MRI for discrimination of oral cavity and oropharynx malignancy.BMC medical imaging · 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
- Technical development and In Silico implementation of SyntheticMR in head and neck adaptive radiation therapy: A prospective R-IDEAL stage 0/1 technology development report.Journal of applied clinical medical physics · 2025Article
- Improving Diagnostic Performance for Head and Neck Tumors with Simple Diffusion Kurtosis Imaging and Machine Learning Bi-Parameter Analysis.Diagnostics (Basel, Switzerland) · 2025Article
- Synthetic MRI and amide proton transfer-weighted MRI for differentiating between benign and malignant sinonasal lesions.European radiology · 2024Article
- Multiparametric approach with synthetic MR imaging for diagnosing salivary gland lesions.Japanese journal of radiology · 2024Article
- Synthetic MRI and diffusion-weighted imaging for differentiating nasopharyngeal lymphoma from nasopharyngeal carcinoma: combination with morphological features.The British journal of radiology · 2024Article
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Authors and funding
7 authors.
Funding
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Abstract
objectivesTo evaluate the feasibility of synthetic MRI for quantitative and morphologic assessment of head and neck tumors and compare the results with the conventional MRI approach. METHODS AND MATERIALS: A total of 92 patients with different head and neck tumor histology who underwent conventional and synthetic MRI were retrospectively recruited. The quantitative T1, T2, proton density (PD), and apparent diffusion coefficient (ADC) values of 38 benign and 54 malignant tumors were measured and compared. Diagnostic efficacy for differentiating malignant and benign tumors was evaluated with receiver operating characteristic (ROC) analysis and integrated discrimination index. The image quality of conventional and synthetic
resultsT1, T2 and ADC values of malignant head and neck tumors were smaller than those of benign tumors (all
conclusionsSynthetic MRI can facilitate the characterization of head and neck tumors by providing quantitative relaxation parameters and synthetic
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