Virtual reality with three-dimensional image guidance of individual patients' vessel anatomy in laparoscopic distal pancreatectomy.
Laparoscopic distal pancreatectomy
Laparoscopic spleen-preserving distal pancreatectomy
Preoperative simulation
Three-dimensional virtual endoscopy
Journal
Langenbeck's archives of surgery
ISSN: 1435-2451
Titre abrégé: Langenbecks Arch Surg
Pays: Germany
ID NLM: 9808285
Informations de publication
Date de publication:
May 2020
May 2020
Historique:
received:
27
12
2019
accepted:
24
03
2020
pubmed:
16
5
2020
medline:
13
5
2021
entrez:
16
5
2020
Statut:
ppublish
Résumé
Three-dimensional virtual endoscopy (3DVE) has the potential advantage of enhanced anatomic delineation and spatial orientation during laparoscopic procedures. In the present study, we aimed to evaluate the impact of 3DVE guidance in laparoscopic distal pancreatectomy (LDP). Thirty-eight patients presenting to our hospital with a variety of pancreatic tumors underwent preoperative computed tomography scanning to clearly define the major peripancreatic vasculature and correlate it with a 3DVE system (SYNAPSE VINCENT: Fujifilm Medical, Tokyo, Japan). This map served as the guide during preoperative planning, surgical education, and simulation and as intraoperative navigation reference for LDP. Operative records and pathological findings were analyzed for each procedure. Operative parameters were compared between the 38 patients in this study and 8 patients performed without 3DVE guidance at our institution. The 3DVE navigation system successfully created a preoperative resection map in all patients. Relevant peripancreatic vasculature displayed on the system was identified and compared during the intervention. The mean blood loss in LDP performed under 3DVE guidance versus LDP without 3DVE was 168.5 +/- 347.6 g versus 330.0 +/- 211.4 g, p = 0.008 while and the operative time was 171.9 +/- 51.7 min versus 240.6 +/- 24.8 min, p = 0.001. 3DVE in conjunction with a "laparoscopic eye" creates a preoperative and intraoperative three-dimensional data platform that potentially enhances the accuracy and safety of LDP.
Identifiants
pubmed: 32410077
doi: 10.1007/s00423-020-01871-6
pii: 10.1007/s00423-020-01871-6
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM