Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Yahong Luo"'
Publikováno v:
Cancer Imaging, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Purpose To investigate the value of multi-parametric MRI-based radiomics for preoperative prediction of lung metastases from soft tissue sarcoma (STS). Methods In total, 122 patients with clinicopathologically confirmed STS who underwent pre
Externí odkaz:
https://doaj.org/article/b6b36ea05ce04817b17feb892d7cc5e5
Autor:
Chenglong Yang, Xiuwen Ban, Mingqiang Zhou, Yu Zhou, Kai Luo, Xiaoyu Yang, Zhifang Li, Fanzhi Liu, Qing Li, Yahong Luo, Xiang Zhou, Jing Lei, Peilin Long, Jian Wang, Jianchun Guo
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Coix lacryma-jobi L. is one of the most economically and medicinally important corns. This study constructed a high-density genetic linkage map of C. lacryma-jobi based on a cross between the parents 'Qianyi No. 2' × 'Wenyi No. 2' and their
Externí odkaz:
https://doaj.org/article/8f8b99d5899b446ea2c478fe80da11d3
Publikováno v:
Insights into Imaging, Vol 13, Iss 1, Pp 1-12 (2022)
Abstract Objectives To evaluate the therapeutic effect of neoadjuvant therapy (NAT) followed by radical hysterectomy and concurrent chemoradiotherapy (CCRT) in stage IB2 and IIA2 squamous cervical cancer (SCC) and investigate the value of apparent di
Externí odkaz:
https://doaj.org/article/bedd2daa107c4614808bcac3bbe01a00
Publikováno v:
Diagnostic and Interventional Radiology, Vol 28, Iss 4, Pp 312-321 (2022)
PURPOSEThis retrospective study aims to evaluate the use of multi-parametric magnetic resonance imaging (MRI) in predicting lymph-vascular space invasion (LVSI) in early-stage cervical cancer using radiomics methods.METHODSA total of 163 patients who
Externí odkaz:
https://doaj.org/article/0112fb495f1b4f2dad82f7a68557d88e
Publikováno v:
Diagnostic and Interventional Radiology, Vol 28, Iss 3, Pp 217-225 (2022)
PURPOSEWe aimed to evaluate digital breast tomosynthesis (DBT)-based radiomics in the differentiation of benign and malignant breast lesions in women.METHODSA total of 185 patients who underwent DBT scans were enrolled between December 2017 and June
Externí odkaz:
https://doaj.org/article/f723df2127f3475eb1f6ff0bc1620086
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
PurposeThis study aims to investigate values of intra- and peri-tumoral regions in the mammography and magnetic resonance imaging (MRI) image for prediction of sentinel lymph node metastasis (SLNM) in invasive breast cancer (BC).MethodsThis study inc
Externí odkaz:
https://doaj.org/article/c0309950587b4a5b99b936d185e52f01
Autor:
Jiaxin Shi, Zilong Zhao, Tao Jiang, Hua Ai, Jiani Liu, Xinpu Chen, Yahong Luo, Huijie Fan, Xiran Jiang
Publikováno v:
Frontiers in Neuroinformatics, Vol 16 (2022)
PurposeTo propose a deep learning network with subregion partition for predicting metastatic origins and EGFR/HER2 status in patients with brain metastasis.MethodsWe retrospectively enrolled 140 patients with clinico-pathologically confirmed brain me
Externí odkaz:
https://doaj.org/article/e82b96e69f1d4a53b01e983e412487c1
Publikováno v:
Diagnostic and Interventional Radiology, Vol 27, Iss 3, Pp 308-314 (2021)
PURPOSEWhether radiomics methods are useful in prediction of therapeutic response to neoadjuvant chemoradiotherapy (nCRT) is unclear. This study aimed to investigate multiple magnetic resonance imaging (MRI) sequence-based radiomics methods in evalua
Externí odkaz:
https://doaj.org/article/0a6204edf15b4e1a94ab123103672b0d
Publikováno v:
Technology in Cancer Research & Treatment, Vol 21 (2022)
Cervical cancer is the fourth most common malignant tumor globally in terms of morbidity and mortality. The presence of lymph node metastasis (LNM) is an independent prognostic factor for progression-free survival (PFS) and overall survival (OS) in c
Externí odkaz:
https://doaj.org/article/09084bdfcf9d4e49ad065f65e5f978ec
Autor:
Minghao Wu, Yanyan Zhang, Jianing Zhang, Yuwei Zhang, Yina Wang, Feng Chen, Yahong Luo, Shuai He, Yulin Liu, Qian Yang, Yanying Li, Hong Wei, Hong Zhang, Nian Lu, Sicong Wang, Yan Guo, Zhaoxiang Ye, Ying Liu
Publikováno v:
Frontiers in Oncology, Vol 11 (2022)
ObjectiveBased on non-contrast-enhanced (NCE)/contrast-enhanced (CE) computed tomography (CT) images, we try to identify a combined-radiomics model and evaluate its predictive capacity regarding response to anti-PD1 immunotherapy of patients with non
Externí odkaz:
https://doaj.org/article/2ab12d354dc04366832611dea5deae86