Zhonghua wai ke za zhi [Chinese journal of surgery]
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Zhonghua Wai Ke Za Zhi · Feb 2019
Comparative Study[Robotic versus laparoscopic distal pancreatectomy: a retrospective single-center study].
Objective: To compare the short-term clinical outcomes and cost differences of robotic distal pancreatectomy (RDP) versus laparoscopic distal pancreatectomy (LDP). Methods: The retrospective descriptive study was adopted. The clinical data of 158 patients underwent minimally invasive distal pancreatectomy who were admitted to Fujian Medical University Union Hospital between January 2016 and July 2018 were collected. ⋯ Total cost of RDP group was higher than that of LDP group ((80 563.7±10 641.8) yuan vs. (57 792.8±8 943.0) yuan, t=4.515, P<0.01). Conclusions: Both RDP and LDP are safe and feasible procedures. RDP is more expensive, but RDP is associated with significantly less blood loss and higher spleen-preserving rate, which is more suitable for the non-malignant diseases of pancreatic body and tail with an expectation of splenic preservation.
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Zhonghua Wai Ke Za Zhi · Feb 2019
[High definition MRI rectal lymph node aided diagnostic system based on deep neural network].
Objective: To investigate the clinical significance of high definition (HD) MRI rectal lymph node aided diagnostic system based on deep neural network. Methods: The research selected 301 patients with rectal cancer who underwent pelvic HD MRI and reported pelvic lymph node metastasis from July 2016 to December 2017 in Affiliated Hospital of Qingdao University. According to the chronological order, the first 201 cases were used as learning group. ⋯ There were 772 images having identical diagnostic results of lymph node location and number of metastases with the two methods. Compared with manual diagnosis, the AUC of the intelligent platform was 0.886 2, the diagnostic time of a single case was 10 s, but the average diagnostic time of doctors was 600 s. Conclusion: The HD MRI lymph node automatic recognition system based on deep neural network has high accuracy and high efficiency, and has the clinical significance of auxiliary diagnosis.
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Artificial intelligence clinical decision-support system is an important direction of artificial intelligence in the medical field. Both international and domestic researchers are exploring the application value of intelligent decision-making system in the field of cancer. ⋯ Combining the work of the research groups in this field, this paper explores the current confusions and solutions, and hopes to help clinicians better understand intelligent decision-making. It is believed that with the deepening of the concept and the advancement of technology, intelligent decision-making will become a good help for doctors in the future.