Publications by authors named "Jingfeng Cheng"
Article Synopsis
- The study aimed to assess how preoperative analysis of apparent diffusion coefficient (ADC) histograms can predict prognosis and its relationship with the Ki-67 labeling index (LI) in sinonasal adenoid cystic carcinoma (ACC) patients.
- It included 66 patients who underwent surgery, evaluated disease-free survival (DFS) with various methods, and found significant correlations between certain ADC parameters and Ki-67 LI.
- Results indicated that both Ki-67 LI and ADC skewness were strong predictors of DFS, suggesting that ADC histogram analysis could serve as a useful biomarker in predicting outcomes for ACC patients.
Background: Primary open-angle glaucoma (POAG), a leading cause of irreversible blindness, is associated with neurodegeneration in the visual pathway, but the underlying pathophysiology remains incompletely resolved.
Purpose: To characterize macro- and microstructural white matter abnormalities in optic tract (OT) and optic radiation (OR) of POAG.
Study Type: Prospective.
Purpose: To investigate the role of magnetic resonance imaging (MRI) based on radiomics using T2-weighted imaging fat suppression (T2WI-FS) and contrast enhanced T1-weighted imaging (CE-T1WI) sequences in differentiating T1-category nasopharyngeal carcinoma (NPC) from nasopharyngeal lymphoid hyperplasia (NPH).
Materials And Methods: This study enrolled 614 patients (training dataset: n = 390, internal validation dataset: n = 98, and external validation dataset: n = 126) of T1-category NPC and NPH. Three feature selection methods were used, including analysis of variance, recursive feature elimination, and relief.
Background: Normal tension glaucoma (NTG) is considered a neurodegenerative disease with glaucomatous damage extending to diffuse brain areas. Therefore, this study aims to explore the abnormalities in the NTG structural network to help in the early diagnosis and course evaluation of NTG.
Methods: The structural networks of 46 NTG patients and 19 age- and sex-matched healthy controls were constructed using diffusion tensor imaging, followed by graph theory analysis and correlation analysis of small-world properties with glaucoma clinical indicators.
Purpose: To explore the alterations of whole brain functional network using the degree centrality (DC) analysis in neovascular glaucoma (NVG) and the correlation between DC values and NVG clinical indices.
Materials And Methods: Twenty NVG patients and twenty normal controls (NC), closely matched in age, sex, and education, were recruited for this study. All subjects underwent comprehensive ophthalmologic examinations and a resting-state functional magnetic resonance imaging (rs-fMRI) scan.
Background: Preoperative differentiation of head and neck lesions is important for treatment plan selection.
Purpose: To evaluate the diagnostic value of diffusion kurtosis imaging (DKI) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in differentiating benign from malignant head and neck lesions and subgroups, including lymphoma subgroup (LS), Warthin's tumor subgroup (WS), malignant tumor subgroup (excluding lymphoma) (MTS), and benign tumor subgroup (excluding Warthin's tumor) (BTS).
Study Type: Retrospective.
Objective: To evaluate the utility of radiomics analysis for differentiating benign and malignant epithelial salivary gland tumors on diffusion-weighted imaging (DWI).
Methods: A retrospective dataset involving 218 and 51 patients with histology-confirmed benign and malignant epithelial salivary gland tumors was used in this study. A total of 396 radiomic features were extracted from the DW images.