Kunlin Ye
Jinan University
8 Papers
Kunlin Ye is an academic researcher from Jinan University. The author has contributed to research in topics: Confidence interval & Medicine. The author has an hindex of 1, co-authored 1 publications.
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Papers
Radiomics features based on MRI predict BRAF V600E mutation in pediatric low-grade gliomas: A non-invasive method for molecular diagnosis
Jiali Xu,Ming Li,Shaoqun Li,Kunlin Ye,Linzhen Li,Qi Hu,Ruyu Ai,Jiangfen Zhou,Juan Li,Junjie Zhen,Linbo Cai,Changzheng Shi +11 more
TL;DR: In this paper , the authors investigated the clinical application value of radiomics features based on preoperative magnetic resonance imaging for predicting B-Raf proto-oncogene serine/threonine-protein (BRAF) V600E mutation in pediatric low-grade gliomas.
11
Atypical primary central nervous system lymphoma and glioblastoma: multiparametric differentiation based on non-enhancing volume, apparent diffusion coefficient, and arterial spin labeling
Weiping Hong,Minting Ye,Ming Li,Changzheng Shi,Linzhen Li,Kunlin Ye,Jiali Xu,Ruyu Ai,Changguo Shan,Linbo Cai,Liangping Luo +10 more
TL;DR: In this paper , the authors evaluated the multiparametric diagnostic performance with non-enhancing tumor volume, apparent diffusion coefficient (ADC), and arterial spin labeling (ASL) to differentiate between atypical primary central nervous system lymphoma (PCNSL) and glioblastoma (GBM).
Clinical and imaging predictors for hemorrhagic transformation of acute ischemic stroke after endovascular thrombectomy.
Yongyao Kuang,Lingtao Zhang,Kunlin Ye,Zijie Jiang,Changzheng Shi,Liangping Luo +5 more
TL;DR: Collateral status, ASPECTS, relative CBF ratio, and blood glucose on admission were predictors for HT in AIS patients, while collateral status, ASPECTS, and blood glucose on admission were also predictors for sICH.
6
Magnetic resonance imaging-based approaches for detecting the efficacy of combining therapy following VEGFR-2 and PD-1 blockade in a colon cancer model
Xi Xu,Kunlin Ye,Dong Zhang,Xinhui Chen,Jiayang Wu,Xukai Mo,Zeyu Xiao +6 more
TL;DR: The combination of VEGFR-2 inhibitors with PD-1 immunotherapy shows a synergistic anti-tumor effect on the mouse colon cancer model and IVIM-DWI exhibits advantages in reflecting tumor angiogenesis.
2
The Diagnostic Performance of DCE-MRI in Evaluating the Pathological Response to Neoadjuvant Chemotherapy in Breast Cancer: A Meta-Analysis.
TL;DR: DCE-MRI could be considered an important auxiliary method for evaluating the pathological response of breast cancer to NAC and used as an effective method for dynamically monitoring the efficacy during NAC.