Ping Zhou
Sichuan University
8 Papers
19 Citations
Ping Zhou is an academic researcher from Sichuan University. The author has contributed to research in topics: Lung cancer & Adenocarcinoma. The author has an hindex of 3, co-authored 8 publications.
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Papers
The important role of circulating CYFRA21-1 in metastasis diagnosis and prognostic value compared with carcinoembryonic antigen and neuron-specific enolase in lung cancer patients.
Li Zhang,Dan Liu,Lei Li,Dan Pu,Ping Zhou,Yuting Jing,He Yu,Yanwen Wang,Yihan Zhu,Yanqi He,Yalun Li,Shuang Zhao,Zhixin Qiu,Weimin Li +13 more
TL;DR: CYFRA21-1 levels had stronger association with metastases and survival status than CEA and NSE in all lung cancer patients and Cox regression results indicated that CYFRA 21-1 could act as independent prognostic factor in different stages of lung cancer.
Unique Genetic Characteristics and Clinical Prognosis of Female Patients with Lung Cancer Harboring RET Fusion Gene.
TL;DR: Unique genetic characteristics and poor prognosis are found in female patients with lung cancer harboring RET fusion gene, and Immune checkpoint inhibitors are a potential option for patients with high expression of PD–L1.
•Journal Article
[Clinicopathological Features, Diagnoses and Treatments of 6 458 Lung Cancer Patients]
TL;DR: The clinicopathological features of primary lung cancer and the practice in diagnoses and treatments in West China Hospital of Sichuan University from 2008 to 2014 are reviewed, with primarily elderly men diagnosed.
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•Journal Article
L1CAM-positive expression is associated with poorer survival outcomes in resected non-small cell lung cancer patients.
He Yu,Ping Zhou,Dan Li,Weimin Li +3 more
TL;DR: L 1CAM-positive expression associated with poorer survival outcomes, but to elucidate whether L1CAM is an independent predictive factor of poor OS for NSCLC patients, more studies are needed.
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A Generalized Deep Learning Approach for Evaluating Secondary Pulmonary Tuberculosis on Chest Computed Tomography
Ye Wang,Xueyan Mei,Chenyu Liu,Timothy W. Deyer,Jingyi Zeng,Chunchao Xia,Javin Schefflein,Lian Jia,He Yu,Faming Jiang,Chen Yang,Ping Zhou,Helena L. Chang,Philip Robson,Amish H. Doshi,David Mendelson,Hui Zhu,Charles Powell,Yang Yang,Zahi Fayad,Weimin Li +20 more
TL;DR: The application of deep learning to chest computerized tomography (CT) to assist doctors in detecting and differentiating PTB from non-TB pneumonia in an expedient, non-invasive, and reproducible manner is proposed.
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