Liling Jiang
Chongqing University
6 Papers
Liling Jiang is an academic researcher from Chongqing University. The author has contributed to research in topics: Medicine & Thyroid nodules. The author has an hindex of 1, co-authored 3 publications.
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Papers
Association of Gyrification Pattern, White Matter Changes, and Phenotypic Profile in Patients With Parkinson Disease
TL;DR: In this article, the authors investigated the cortical gyrification changes as well as their relationship with white matter microstructural abnormalities in the akinetic-rigid (AR) and tremor-dominant (TD) subtypes of Parkinson disease.
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Dual-source dual-energy computed tomography-derived quantitative parameters combined with machine learning for the differential diagnosis of benign and malignant thyroid nodules
TL;DR: Multiple quantitative parameters of DS-DECT combined with machine learning could differentiate between benign and malignant thyroid nodules.
Comparative analysis of the image quality and diagnostic performance of the zooming technique with diffusion-weighted imaging using different b-values for thyroid papillary carcinomas and benign nodules
Liling Jiang,Jiao Chen,Jian Wu,Junbin Zhang,Daihong Liu,Jiuquan Zhang +5 more
TL;DR: The optimal b-value for differentiating benign and malignant thyroid nodules in ZOOMit-DWI images is 1500 s/mm2, which yielded the highest image quality and diagnostic performance.
rFOV-DWI and SMS-RESLOVE-DWI in patients with thyroid nodules: Comparison of image quality and apparent diffusion coefficient measurements.
TL;DR: In this paper , the authors compared reduced field of view technique diffusionweighted imaging (rFOV-DWI) and simultaneous multislice readout segmentation of long variable echo-trains diffusion-weighted image (SMS-RESOLVE-DVI) in terms of image quality and diagnostic performance for thyroid nodules.
Comparison of the Differential Diagnostic Performance of Intravoxel Incoherent Motion Imaging and Diffusion Kurtosis Imaging in Malignant and Benign Thyroid Nodules
Liling Jiang,Jiao Chen,Haiping Huang,Jian Wu,Junbin Zhang,Xiaosong Lan,Daihong Liu,Jiuquan Zhang +7 more
TL;DR: IVIM and DKI were alternative for each other in in differentiating malignant from benign thyroid nodules, and showed no statistical significance among there prediction models.