scholarly journals Augmented Reality Navigation for Stereoscopic Laparoscopic Anatomical Hepatectomy of Primary Liver Cancer: Preliminary Experience

2021 ◽  
Vol 11 ◽  
Author(s):  
Weiqi Zhang ◽  
Wen Zhu ◽  
Jian Yang ◽  
Nan Xiang ◽  
Ning Zeng ◽  
...  
Keyword(s):  
Augmented Reality ◽  
Liver Cancer ◽  
Primary Liver Cancer ◽  
Accurate Determination ◽  
Three Dimensional ◽  
Extent Of Resection ◽  
Postoperative Recovery ◽  
Intraoperative Navigation ◽  
Transfusion Rate ◽  
Anatomical Hepatectomy

BackgroundAccurate determination of intrahepatic anatomy remains challenging for laparoscopic anatomical hepatectomy (LAH). Laparoscopic augmented reality navigation (LARN) is expected to facilitate LAH of primary liver cancer (PLC) by identifying the exact location of tumors and vessels. The study was to evaluate the safety and effectiveness of our independently developed LARN system in LAH of PLC.MethodsFrom May 2018 to July 2020, the study included 85 PLC patients who underwent three-dimensional (3D) LAH. According to whether LARN was performed during the operation, the patients were divided into the intraoperative navigation (IN) group and the non-intraoperative navigation (NIN) group. We compared the preoperative data, perioperative results and postoperative complications between the two groups, and introduced our preliminary experience of this novel technology in LAH.ResultsThere were 44 and 41 PLC patients in the IN group and the NIN group, respectively. No significant differences were found in preoperative characteristics and any of the resection-related complications between the two groups (All P > 0.05). Compared with the NIN group, the IN group had significantly less operative bleeding (P = 0.002), lower delta Hb% (P = 0.039), lower blood transfusion rate (P < 0.001), and reduced postoperative hospital stay (P = 0.003). For the IN group, the successful fusion of simulated surgical planning and operative scene helped to determine the extent of resection.ConclusionsThe LARN contributed to the identification of important anatomical structures during LAH of PLC. It reduced vascular injury and accelerated postoperative recovery, showing a potential application prospects in liver surgery.

scholarly journals Total laparoscopic anatomical hepatectomy for primary liver cancer: a report of 16 cases

2010 ◽  
Vol 18 (20) ◽  
pp. 2163
Author(s):  
Kai Wang ◽  
Zhi Xu ◽  
Ming-Wen Huang ◽  
Zhi-Qiang Luo ◽  
Lu Fang ◽  
...  
Keyword(s):  
Liver Cancer ◽  
Primary Liver Cancer ◽  
Anatomical Hepatectomy

scholarly journals Assisting Difficult Liver Operations Using 3D Printed Models

Livers ◽  
2021 ◽  
Vol 1 (3) ◽  
pp. 138-146
Author(s):  
Andreas Tooulias ◽  
Georgios Tsoulfas ◽  
Vasileios Papadopoulos ◽  
Maria Alexiou ◽  
Ion-Anastasios Karolos ◽  
...  
Keyword(s):  
Liver Cancer ◽  
Primary Liver Cancer ◽  
Three Dimensional ◽  
Liver Parenchyma ◽  
Vital Role ◽  
Machine Learning Techniques ◽  
Accurate Information ◽  
Successful Operation ◽  
Complete Cure ◽  
Surgical Department

Liver cancer is estimated to be the fifth most common in the world, while it is also considered the third leading cause of cancer death. In cases of primary liver cancer, surgery in combination with chemotherapy and radiotherapy can lead to a complete cure or significantly increase the patient’s life expectancy. Since the liver is an organ that performs several critical functions in the human body, the precise estimation of the disease (position and size of tumors and its vicinity to vessels) plays a vital role in a successful operation. In some cases, the removal of the tumor may be successful, but the percentage of the hepatic remnant may not be sufficient to sustain life. Therefore, accurate imaging of the tumor of the liver and proper planning of a difficult surgery to remove tumor(s) from a patient’s liver can be a lifesaver and lead to a complete cure of the disease. The aim of the present study is the initial accurate representation of the liver (parenchyma, tumors, vessels) as a digital three-dimensional (3D) model using advanced image processing and machine learning techniques and its 3D printing in 1:1 scale representing the full size of the liver with the tumor(s). A model of this type has been used at our University surgical department to plan complex hepatobiliary surgeries, provide more accurate information to the patients and their families, as well as improve the training of medical students and resident surgeons and fellows.

Pathomorphological study on primary liver cancer

Kanzo ◽  
1979 ◽  
Vol 20 (8) ◽  
pp. 828-838 ◽  
Author(s):  
Sadaaki KUWAO
Keyword(s):  
Liver Cancer ◽  
Primary Liver Cancer
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