Background: If Natural Orifice Transluminal Endoscopic Surgery (NOTES) peritoneoscopy is to become
an alternative to diagnostic laparoscopy, it must prove to be at least as accurate
as the diagnostic laparoscopy (LAP).
Objective: To create a model of peritoneal metastases for use in the development of transgastric
peritoneoscopy (TGP) and to employ this model to compare TGP to LAP.
Methods: This investigator-initiated protocol was performed in a live anesthetized porcine
model. 2.5 mm color-coded beads were stapled via LAP to the peritoneum to simulate
metastases. Using a non-inferiority design a sample size of 64 beads was determined.
Three to seven beads were placed in each of 12 animals. Randomization was performed
for number and location of beads. Locations included: abdominal peritoneum (14 beads),
diaphragm (11), surface of liver and hepatoduodenal ligament (32), and miscellaneous
sites (7): visceral peritoneum, omentum, anterior stomach and pelvis. 3-port LAP was
performed by one of two surgeons blinded as to the location and number of beads. TGP
was then performed with a 2 channel therapeutic upper endoscope using either standard
accessories (forceps, cap) (TGP-s) or with a specially designed toolkit (bendable
overtube, articulating retractors and graspers) (TGP-t) in randomized order by one
of two endoscopists also blinded to bead placement. A 30 min time limit per examination
was used.
Results: A total of 64 beads were placed into 12 pigs. LAP found 61 beads (yield = 95%, 90%
CI: 91–100%), TGP-s 40 beads (63%, 90% CI: 52–73%, p = 0.8456 vs. LAP), TGP-t 40 beads
(63%, 90% CI: 52–73%, p = 0.7440 vs. LAP). TGP-s and TGP-t were similar in the number,
distribution and time to detect beads. TGP was superior for detecting beads on the
abdominal and diaphragmatic peritoneum (n = 25) in comparison with beads placed on
the liver (n = 32): TGP-s 92% vs. 38% (p < 0.001), TGP-t 100% vs. 34% (p < 0.001).
Conclusions: In this first prospective, blinded, comparative trial TGP was inferior to LAP for
the detection of simulated metastases. We successfully created a model for peritoneal
metastases. This model will be useful for future device development, which should
focus on improved access to the region of the liver and enhanced endoscope optics
and performance.