Zhizhao Luo

ORCID: 0000-0002-8285-9673
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About
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Research Areas
  • Topic Modeling
  • Natural Language Processing Techniques
  • Colorectal Cancer Surgical Treatments
  • Gastric Cancer Management and Outcomes
  • Colorectal and Anal Carcinomas
  • Neuroendocrine Tumor Research Advances
  • Advanced Text Analysis Techniques
  • Data Quality and Management
  • Neuroblastoma Research and Treatments
  • Web Data Mining and Analysis

Chinese Academy of Medical Sciences & Peking Union Medical College
2023-2025

Beijing Institute of Technology
2023

Objective: To explore the clinicopathological features of rectal neuroendocrine tumor (R-NET) G2, identify prognostic factors, and summarize treatment experience. Methods: The clinical data patients diagnosed with R-NET G2 by pathological diagnosis admitted to Cancer Hospital Chinese Academy Medical Sciences from January 2003 September 2023 were retrospectively analyzed. Fisher's exact test Kaplan-Meier curves performed analyze association between prognosis. Results: A total 22 enrolled in...

10.3760/cma.j.cn112152-20240113-00027 article EN PubMed 2025-01-23

Objective: To analyze the clinicopathological factors affecting long-term disease-free survival and characteristics of local recurrence or distance metastasis rectal cancer patients with complete pathological response after neoadjuvant chemoradiotherapy. Methods: The data follow-up information a chemoradiotherapy in Cancer Hospital Chinese Academy Medical Sciences from June 2004 to December 2019 were retrospectively collected. analyzed build prediction model distant evaluate benefits...

10.3760/cma.j.cn112137-20230312-00384 article EN PubMed 2023-05-30

Objective: To analyze the recurrence pattern of rectal cancer patients with radical surgery after neoadjuvant chemoradiotherapy. Methods: The clinicopathological characteristics and follow-up information chemoradiotherapy in Cancer Hospital Chinese Academy Medical Sciences from June 2004 to December 2017 were retrospectively collected. including time site was investigated. Results: age 537 (55.5±11.7) years, whom 361 male (67.2%). median [M(Q1,Q3)] 77.9 (64.5, 95.6) months. Moreover, 30.7%...

10.3760/cma.j.cn112137-20230407-00560 article EN PubMed 2023-06-27
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