Real three‐dimensional approach vs two‐dimensional camera with and without real‐time near‐infrared imaging with indocyanine green for detection of endometriosis: A case‐control study

Indocyanine Green
DOI: 10.1111/aogs.13866 Publication Date: 2020-04-10T06:13:03Z
ABSTRACT
The complete surgical removal of endometriosis lesions is not always feasible because some implants may be very small or hidden. use intraoperative near-infrared radiation (NIR) imaging after intravenous injection indocyanine green (ICG) coupled with robotic technical advances, including three-dimensional (3D) and high-resolution vision, might improve detection rates.This a retrospective, multicenter case-control study (Canadian Task Force classification II-2) on medical records women who underwent surgery at the Catholic University Rome (Controls) Bologna (Cases) between January 2016 March 2018. Surgical post-surgical data from procedures were collected. We compared visual rate endometriotic using (NIR-ICG) in Real 3D 2D Camera approach symptomatic pelvic endometriosis.Twenty cases matched as closely possible 27 controls. numbers suspected identified both white light NIR-ICG 116 70 Controls (2D) Cases (3D), respectively. Among them, 16 controls (13.8%) 12 (17.1%) only collected occult (P = .536). overall lesion identification showed positive predictive value 97.8%, negative 82.3%, sensitivity 82.0%, specificity 97.9% for Control group, 100%, 97.1%, 100% Case confirming that good diagnostic screening test .643 P .791, according to Cohen κ tests, respectively laparoscopic groups).The few differences observed did seem clinically relevant, making 2 comparable terms ability visually detect lesions. Further prospective trials are needed confirm our results.
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