Laparoscopic Anatomical Extended Right Posterior Sectionectomy Using Virtual Liver Segment Projection Navigation and Indocyanine Green Fluorescence Imaging
- PMID: 36209326
- DOI: 10.1245/s10434-022-12551-8
Laparoscopic Anatomical Extended Right Posterior Sectionectomy Using Virtual Liver Segment Projection Navigation and Indocyanine Green Fluorescence Imaging
Abstract
Background: Extended right posterior sectionectomy is an alternative to right hepatectomy (RH) for tumors located mainly in the right posterior section (RPS) and partially in the right anterior section (RAS).1 Anatomical extended right posterior sectionectomy (AERPS) combining RPS and right anterior subsegmental resections not only achieves anatomical hepatectomy to reduce remnant liver ischemia2 but also preserves more functional liver parenchyma than RH. AERPS can be extremely challenging, especially under laparoscopy.
Patient and methods: A 48-year-old male was admitted to our institution for a tumor in the right liver. The three-dimensional (3D) model revealed that the subsegments innervated by the P5dor and the P8lat could cover the territory of the tumor in the RAS.3 Therefore, laparoscopic AERPS was performed. First, an intrafascial approach was adopted to dissect and ligate the right posterior Glissonean pedicle. Then, we used intraoperative ultrasound and virtual liver segment projection by Laparoscopic Hepatectomy Navigation System4 to identify the intersegmental fissure between the dorsal and ventral segments of S5. Partial parenchymal transection was used to reach the common stem of G5dor and G8lat.5 Finally, using indocyanine green (ICG) negative staining fluorescence imaging, the precise transection interface was determined.
Results: The operation lasted 360 min with 100 ml of intraoperative blood loss. There were no postoperative complications, and the patient was discharged after 3 days.
Conclusion: Laparoscopic AERPS is technically feasible and can be performed with greater precision coupled with virtual liver segment projection and ICG fluorescence imaging.
© 2022. Society of Surgical Oncology.
Comment in
-
ASO Author Reflections: Anatomical Extended Right Posterior Sectionectomy: A New Surgical Strategy for Right Liver Tumor in the Digital Intelligent Liver Surgery Era.Ann Surg Oncol. 2023 Jan;30(1):377-378. doi: 10.1245/s10434-022-12637-3. Epub 2022 Oct 3. Ann Surg Oncol. 2023. PMID: 36190584 No abstract available.
-
ASO Author Reflections: Laparoscopic Anatomical Segment 8 Resection Using Digital Intelligent Liver Surgery Technologies: The Combination of Multiple Navigation Approaches.Ann Surg Oncol. 2023 Nov;30(12):7388-7390. doi: 10.1245/s10434-023-14214-8. Epub 2023 Aug 23. Ann Surg Oncol. 2023. PMID: 37610492 No abstract available.
References
-
- Torzilli G, Donadon M, Marconi M, et al. Systematic extended right posterior sectionectomy: a safe and effective alternative to right hepatectomy. Ann Surg. 2008;247(4):603–11. - DOI
-
- Cho JY, Han HS, Choi Y, et al. Association of remnant liver ischemia with early recurrence and poor survival after liver resection in patients with hepatocellular carcinoma. JAMA Surg. 2017;152(4):386–92. - DOI
-
- Ichida H, Imamura H, Yoshioka R, et al. Re-evaluation of the Couinaud classification for segmental anatomy of the right liver, with particular attention to the relevance of cranio-caudal boundaries. Surgery. 2021;169(2):333–40. - DOI
-
- Chen R, Wang Z, Zhu W, et al. Laparoscopic in situ anatomical mesohepatectomy for solitary massive HCC using combined intrafascial and extrafascial approaches with indocyanine green navigation (with video). Ann Surg Oncol. 2022;29(3):2034–40. https://doi.org/10.1245/s10434-021-10886-2 - DOI
-
- Morimoto M, Tomassini F, Berardi G, et al. Glissonean approach for hepatic inflow control in minimally invasive anatomic liver resection: a systematic review. J. Hepato-Biliary-Pancreat. Sci. 2022;29(1):51-65.
Publication types
MeSH terms
Substances
Grants and funding
- 2021A1515011869/Guangdong Basic and Applied Basic Research Foundation
- 2021B1515130003/Regional Joint Fund of Guangdong(Guangdong-Hong Kong-Macao Research Team Project)
- 81627805/National Major Scientific Instruments and Equipments Development Project of the National Natural Science Foundation of China
- 2021A1414020003/the Science and Technology Plan Project of Guangdong Province
- 12026602/Mathematical Tianyuan Fund of the National Natural Science Foundation of China
LinkOut - more resources
Full Text Sources
Medical