Jian-Xian Lin
Fujian Medical University
324 Papers
726 Citations
Jian-Xian Lin is an academic researcher from Fujian Medical University. The author has contributed to research in topics: Cancer & Medicine. The author has an hindex of 25, co-authored 250 publications. Previous affiliations of Jian-Xian Lin include Fujian Normal University & Memorial Sloan Kettering Cancer Center.
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Papers
Difficulty and settlement of digestive reconstruction after laparoscopic gastrectomy for gastric cancer
Chang-Ming Huang,Jian-Xian Lin +1 more
TL;DR: In order to reduce the incidence of postoperative complication and ensure a good quality of life for patients after gastrectomy, surgeons should have experience in open surgery and proper reconstruction technique and surgical instruments should be selected.
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A modified subclassification to evaluate the survival of patients with N3 gastric cancer: an international database study
Man-Qiang Lin,Jia-Bin Wang,Chao-Hui Zheng,Ping Li,Jian-Wei Xie,Jian-Xian Lin,Jun Lu,Qi-Yue Chen,Long-Long Cao,Mi Lin,Qingliang He,Chang-Ming Huang +11 more
TL;DR: For improved prognostic stratification, the cutoff for subclassification of N3 gastric cancer is recommended to be adjusted to 13 metastatic lymph nodes, which is closer to the optimal N3a/N3b cutoff.
OSATS scoring confirms ICG enhancement of performance in laparoscopic radical gastrectomy: A post hoc analysis of a randomized controlled trial.
Ze-Ning Huang,Qi-Chen He,Wen-Wu Qiu,Ju Wu,Chang-Yue Zheng,Guo-sheng Lin,Pingxiang Li,Jian Wang,Jian-Xian Lin,Jun Lu,Long-Long Cao,Mi Lin,Ru-Hong Tu,Chao-Hui Zheng,Qi-Yue Chen,Chang-ming Huang,Jian-Wei Xie +16 more
TL;DR: By applying the ICG fluorescence navigation technique, better OSATS scores were observed, which correlated with greater lymph node retrieval and a lower lymph node noncompliance rate, as recommended for individualized laparoscopic radical gastrectomy.
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Multi-cohort study in gastric cancer to develop CT-based radiomic models to predict pathological response to neoadjuvant immunotherapy
Chang-ming Huang,Ze-Ning Huang,Hao-xiang Zhang,Yu-Qin Sun,Xing-Qi Zhang,Yi-Fen Lin,Cai-Ming Weng,Chao-Hui Zheng,Ping-Li,Jian Wang,Qi-Yue Chen,Long-Long Cao,Mi Lin,Ru-Hong Tu,Jian-Xian Lin,Jian-Wei Xie +15 more
TL;DR: This multi-cohort study develops and validates a CT-based radiomic model using machine learning to predict pathological response to neoadjuvant immunotherapy in locally advanced gastric cancer patients, achieving high accuracy and generalizability across three cohorts.
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•Journal Article
Laparoscopic Spleen-Preserving Splenic Hilar Lymph Node Dissection for Advanced Upper Gastric Cancer in Patients with High Body Mass Index.
Chang-Ming Huang,Yi Wang,Jia-Bin Wang,Chao-Hui Zheng,Ping Li,Jian-Wei Xie,Jian-Xian Lin,Jun Lu +7 more
TL;DR: Laroscopic spleen-preserving splenic hilar LN dissection is feasible and safe in patients with high BMI, although even experienced laparoscopic surgeons should take special care in these patients, especially in men.
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