Zobrazeno 1 - 10
of 103
pro vyhledávání: '"Ning LANG"'
Autor:
Enlong Zhang, Meiyi Yao, Yuan Li, Qizheng Wang, Xinhang Song, Yongye Chen, Ke Liu, Weili Zhao, Xiaoying Xing, Yan Zhou, Fanyu Meng, Hanqiang Ouyang, Gongwei Chen, Liang Jiang, Ning Lang, Shuqiang Jiang, Huishu Yuan
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background A deep learning (DL) model that can automatically detect and classify cervical canal and neural foraminal stenosis using cervical spine magnetic resonance imaging (MRI) can improve diagnostic accuracy and efficiency. Methods A met
Externí odkaz:
https://doaj.org/article/90ced03b349b4b78870d3f8d15ad00c0
Autor:
Siyuan Qin, Ke Liu, Yongye Chen, Yan Zhou, Weili Zhao, Ruixin Yan, Peijin Xin, Yupeng Zhu, Hao Wang, Ning Lang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Establishing predictive models for the pathological response and lymph node metastasis in locally advanced rectal cancer (LARC) treated with neoadjuvant chemoradiotherapy (nCRT) based on MRI radiomic features derived from the tumor and mesor
Externí odkaz:
https://doaj.org/article/0e4e99b0e17c4ea78ae9a77a48d578f1
Publikováno v:
Cancer Imaging, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background Accurate prognostic assessment is vital for the personalized treatment of endometrial cancer (EC). Although radiomics models have demonstrated prognostic potential in EC, the impact of region of interest (ROI) delineation strategi
Externí odkaz:
https://doaj.org/article/242e6acbd1fe49ed948655feb72f7440
Autor:
Qizheng Wang, Weili Zhao, Xiaoxi Ji, Yongye Chen, Ke Liu, Yupeng Zhu, Ruixin Yan, Siyuan Qin, Peijin Xin, Ning Lang
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-9 (2024)
Abstract Objectives Diagnostic imaging plays an important role in the pre-treatment workup of knee osteoarthritis (OA) and rheumatoid arthritis (RA). Herein, we identified a useful MRI sign of infrapatellar fat pad (IPFP) to improve diagnosis. Method
Externí odkaz:
https://doaj.org/article/a45ec7587d554cc59c342c3bb16902a8
Autor:
Ming Ni, Shujing Li, Xiaoyi Wen, Ben Wang, Chenyu Jiang, Xianchang Zhang, Ning Lang, Liang Jiang, Huishu Yuan
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-10 (2024)
Abstract Background Early cervical spondylotic myelopathy (CSM) is challenging to diagnose and easily missed. Diffusion MRI (dMRI) has the potential to identify early CSM. Methods Using diffusion tensor imaging (DTI), diffusion kurtosis imaging (DKI)
Externí odkaz:
https://doaj.org/article/099a32378998448ca35a93e027f1d536
Autor:
Chunjie Wang, Ming Ni, Shuai Tian, Hanqiang Ouyang, Xiaoming Liu, Lianxi Fan, Pei Dong, Liang Jiang, Ning Lang, Huishu Yuan
Publikováno v:
BMC Medical Imaging, Vol 23, Iss 1, Pp 1-9 (2023)
Abstract Purposes To develop a deep learning (DL) model to measure the sagittal Cobb angle of the cervical spine on computed tomography (CT). Materials and methods Two VB-Net-based DL models for cervical vertebra segmentation and key-point detection
Externí odkaz:
https://doaj.org/article/e76e0f84491447339974b031bb4aba41
Autor:
Peijin Xin, Qizheng Wang, Ruixin Yan, Yongye Chen, Yupeng Zhu, Enlong Zhang, Cui Ren, Ning Lang
Publikováno v:
Arthritis Research & Therapy, Vol 25, Iss 1, Pp 1-11 (2023)
Abstract Background Identifying axial spondyloarthritis (axSpA) activity early and accurately is essential for treating physicians to adjust treatment plans and guide clinical decisions promptly. The current literature is mostly focused on axSpA diag
Externí odkaz:
https://doaj.org/article/e8bd4181e0f84d7db57d2ce8b1bb1d57
Autor:
Yongye Chen, Siyuan Qin, Weili Zhao, Qizheng Wang, Ke Liu, Peijin Xin, Huishu Yuan, Hongqing Zhuang, Ning Lang
Publikováno v:
Insights into Imaging, Vol 14, Iss 1, Pp 1-11 (2023)
Abstract Objective This study aimed to extract radiomics features from MRI using machine learning (ML) algorithms and integrate them with clinical features to build response prediction models for patients with spinal metastases undergoing stereotacti
Externí odkaz:
https://doaj.org/article/961d03f856634371b1c6bc5066f559a6
Publikováno v:
Insights into Imaging, Vol 13, Iss 1, Pp 1-9 (2022)
Key points 1. Primary leiomyosarcoma of the spine is extremely rare. 2. Some imaging features could be valuable for diagnosing the disease. 3. The treatment of choice is surgical gross-total resection of the tumor.
Externí odkaz:
https://doaj.org/article/891c4847730541fab7125cd73b36477a
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
BackgroundArterial spin labeling (ASL) is a non-invasive technique for measuring cerebral perfusion. Its accuracy is affected by the arterial transit time. This study aimed to (1) evaluate the accuracy of ASL in measuring the cerebral perfusion of pa
Externí odkaz:
https://doaj.org/article/fd025740171245a9a9f22b34ab906024