Bo Yi

Dr. Bo Yi


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 October 2020 in PLOS ONE
Verified
Journal Article
Open access
YWYanlei Wang
Yanlei Wang
YLYanfei Liu
Yanfei Liu
GHGaoyang Han
Gaoyang Han
BYBo Yi
Bo Yi
SZShaihong Zhu
Shaihong Zhu
Robotic surgery (RS) has been increasingly used for the resection of rectal cancer, and its advantages over laparoscopic surgery (LS) have been demonstrated. However, few studies focused on the severity of postoperative complications. This study aimed to compared the postoperative complications within 30 days after RS over LS according to the Clavien-Dindo (C-D) classification.

1 August 2022 in International Journal of Surgery
Verified
Journal Article
Closed access
YLYihui Liu
Yihui Liu
MLMin Liu
Min Liu
YLYang Lei
Yang Lei
HZHao Zhang
Hao Zhang
JXJingmao Xie
Jingmao Xie
BYBo Yi
Bo Yi
Because the recovery of genitourinary function after total mesorectal excision (TME) is affected by multiple factors, the role of robot-assisted TME technology in postoperative function in previous studies is still controversial. Our study aimed to evaluate the impact of robotic technology on the recovery of genitourinary function after TME for rectal cancer by analysing the correlations between influencing factors of genitourinary function and robotic surgery. Between January 2017 and January 2020, patients with rectal cancer (cT1-3NxM0) were registered. Genitourinary function was assessed by the International Prostate Symptom Score (IPSS), International Index of Erectile Function (IIEF) test, Female Sexual Function Index (FSFI) and urodynamic examination before surgery and 1, 3, 6, and 12 months postoperatively. Genitourinary function was compared between the laparoscopic total mesorectal excision (L-TME) and robotic total mesorectal excision (R-TME) groups, and the correlative factors associated with postoperative genitourinary function were analysed using the generalized estimated equation (GEE). Compared with L-TME, R-TME showed a superior IPSS, voiding volume, residual urine volume and IIEF score during the early postoperative period. According to the GEE analysis, postoperative genitourinary function was positively correlated with laparoscopic anterior resection/abdomen perineal resection (LAR/APR) but negatively correlated with tumour size, tumour distance to anus, TNM, adjuvant chemotherapy, adjuvant radiotherapy, complete TME, circumferential resection margin (CRM), blood loss, diverting stoma, conversion, and anastomotic leakage. Due to the important role of robotic surgical technology on the influential factors of postoperative genitourinary function and the superiority of identifying and preserving autonomic nerves, robotic technology is conducive to the early recovery of postoperative urogenital function while adhering to oncological dissection principles. No significant difference was found between the da Vinci R-TME and MicroHand R-TME groups.

31 August 2020 in The International Journal of Medical Robotics and Computer Assisted Surgery
Verified
Journal Article
Closed access
PDF file
JLJianmin Li
Jianmin Li
SZShaihong Zhu
Shaihong Zhu
JJJiang Juan
Jiang Juan
BYBo Yi
Bo Yi

10 April 2021 in The International Journal of Medical Robotics and Computer Assisted Surgery
Verified
Journal Article
Closed access
PDF file
JJJuan Jiang
Juan Jiang
SZShaihong Zhu
Shaihong Zhu
BYBo Yi
Bo Yi
JLJianmin Li
Jianmin Li

6 February 2025 in BMC Bioinformatics
Verified
Journal Article
Open access
PDF file
BGBo Guan
Bo Guan
GCGuangdi Chu
Guangdi Chu
ZWZiying Wang
Ziying Wang
JLJianmin Li
Jianmin Li
BYBo Yi
Bo Yi
Accurate segmentation and classification of cell nuclei are crucial for histopathological image analysis. However, existing deep neural network-based methods often struggle to capture complex morphological features and global spatial distributions of cell nuclei due to their reliance on local receptive fields. This study proposes a graph neural structure encoding framework based on a vision-language model. The framework incorporates: (1) A multi-scale feature fusion and knowledge distillation module utilizing the Contrastive Language-Image Pre-training (CLIP) model’s image encoder; (2) A method to transform morphological features of cells into textual descriptions for semantic representation; and (3) A graph neural network approach to learn spatial relationships and contextual information between cell nuclei. Experimental results demonstrate that the proposed method significantly improves the accuracy of cell nucleus segmentation and classification compared to existing approaches. The framework effectively captures complex nuclear structures and global distribution features, leading to enhanced performance in histopathological image analysis. By deeply mining the morphological features of cell nuclei and their spatial topological relationships, our graph neural structure encoding framework achieves high-precision nuclear segmentation and classification. This approach shows significant potential for enhancing histopathological image analysis, potentially leading to more accurate diagnoses and improved understanding of cellular structures in pathological tissues.

1 January 2022 in Asian Journal of Surgery
Verified
Journal Article
Open access
YWYanlei Wang
Yanlei Wang
ZLZheng Li
Zheng Li
BYBo Yi
Bo Yi
SZShaihong Zhu
Shaihong Zhu
A Chinese surgical robot, Micro Hand S, was introduced for clinical use as a novel robotic platform. This study aimed to comprehensively compare the early experience of the Micro Hand S robot-assisted total mesorectal excision (TME) with conventional approaches. Between May 2017 and April 2018, 99 consecutive patients who underwent open, laparoscopic and Micro Hand S robot-assisted TME (O-/L-/RTME) for rectal cancer were included. Clinical and pathological outcomes were retrospectively analyzed. Surgical success as the primary endpoint was defined as the absence of (i) conversion, (ii) incomplete TME, (iii) involved circumferential and distal resection margins (CRM/DRM), (iv) severe complications. The rate of surgical success was similar (89.7 vs. 86.4 vs. 84.6%, p = 0.851) in the three groups and the respective incidences were as follows: conversion (not applicable, 4.5 vs. 2.3%, p = 1.000), incomplete TME (6.9 vs. 6.8 vs. 3.8%, p = 0.980), involved CRM/DRM (0 vs. 2.3 vs. 3.8%, p = 0.592), severe complications (3.4 vs. 4.5 vs. 7.7%, p = 0.844). Compared with open and laparoscopic surgery, the robotic surgery was associated with longer operative time, less blood loss, earlier first flatus time and liquid intake time, and shorter length of hospital stay (p < 0.05). The Micro Hand S assisted TME is safe and feasible, showing comparable outcomes than conventional approaches, with superiority in blood loss, recovery of bowel function, length of hospital stay, but with increased operative time.