摘要： Introduction: The complete surgical removal of endometriosis lesions is not always feasible because some implants may be very small or hidden. The use of intra-operative near-infrared radiation (NIR) imaging after intravenous injection of indocyanine green (ICG) coupled with robotic technical advances, including tridimensional and high-resolution vision, might improve detection rates. Material and methods: This is a retrospective, multicenter case-control study (Canadian Task Force classification II-2) on medical records of women with endometriosis that submitted to surgery at the Catholic University of Rome (controls) and the University of Bologna (Cases) between January, 2016, and March, 2018. Surgical and post-surgical data from the procedures were collected. We compared the visual detection rate of endometriotic lesions using near-infrared radiation imaging after intravenous injection of indocyanine green (NIR-ICG) in Real 3D (Cases) with the 2D Camera approach (Controls) in symptomatic women with pelvic endometriosis. Results: Twenty cases were matched as closely as possible with 27 controls. The suspected lesions identified both with the WL and the NIR-ICG approach were 116 and 70 in the Controls (2D) and Cases (3D), respectively. Among them, 16 of 116 controls (13.8%) and 12 of 70 cases (17.1%) were identified using only NIR-ICG imaging and collected as occult lesions (p=0.536). The overall NIR-ICG lesion identification showed a positive predictive value of 97.8%, negative predictive value of 82.3%, sensitivity of 82.0%, and specificity of 97.9% for the Control group, and a positive predictive value of 100%, negative predictive value of 97.1%, sensitivity of 97.1%, and specificity of 100% for the Cases group, confirming that NIR-ICG imaging is a good diagnostic and screening test (p=0.643 and p=0.791, according to the Cohen kappa tests, respectively for the laparoscopic and robotic groups). Conclusions: The few differences observed did not seem to be clinically relevant, thus making the two procedures comparable in terms of the ability to visually detect endometriotic lesions. Further prospective trials are needed to confirm our results.