Francesco Cosentino1, Giuseppe Vizzielli2, Luigi Carlo Turco3, Anna Fagotti2, Stefano Cianci2, Virginia Vargiu2, Gian Franco Zannoni4, Gabriella Ferrandina2, Giovanni Scambia5. 1. Division of Gynecologic Oncology, Fondazione di ricerca e cura Giovanni Paolo II, Università Cattolica del Sacro Cuore, Campobasso, Italy. Electronic address: francesco.cosentino@fgps.it. 2. Department of Women's and Children's Health, Fondazione Policlinico Universitario A. Gemelli, Università Cattolica del Sacro Cuore, Rome, Italy. 3. Division of Gynecologic Oncology, Fondazione di ricerca e cura Giovanni Paolo II, Università Cattolica del Sacro Cuore, Campobasso, Italy. 4. Department of Pathology, Fondazione Policlinico Universitario A. Gemelli, Università Cattolica del Sacro Cuore, Rome, Italy. 5. Division of Gynecologic Oncology, Fondazione di ricerca e cura Giovanni Paolo II, Università Cattolica del Sacro Cuore, Campobasso, Italy; Department of Women's and Children's Health, Fondazione Policlinico Universitario A. Gemelli, Università Cattolica del Sacro Cuore, Rome, Italy.
Abstract
STUDY OBJECTIVE: To evaluate near-infrared radiation imaging with intravenous indocyanine green (NIR-ICG) during laparoscopic intervention to identify endometriosis lesions. DESIGN: A single-center, prospective, single-arm pilot study (Canadian Task Force classification II-2). SETTING: An academic tertiary care and research center. PATIENTS: Twenty-seven patients with symptomatic endometriosis were enrolled. INTERVENTIONS: Patients underwent laparoscopic surgery using a laparoscopic system prototype with NIR-ICG. MEASUREMENTS AND MAIN RESULTS: A total of 116 suspected endometriosis lesions were removed from 27 patients. One hundred lesions had already been visualized in white light imaging by an expert surgeon; the remaining 16 were detected and removed using NIR-ICG. A total of 111 specimens were positive for endometriosis pathology. Positive predictive value of 95% and 97.8% and negative predictive value of 86.2% and 82.3% were found by white light imaging and NIR-ICG, respectively, with sensitivity of 85.6% and 82% and specificity of 95.2% and 97.9%, respectively. CONCLUSION: NIR-ICG may be a tool for intraoperative diagnosis, confirmation of visible endometriosis lesions, and a marker for identifying occult endometriosis. Further prospective studies with a larger population sample are warranted to validate these encouraging preliminary results.
STUDY OBJECTIVE: To evaluate near-infrared radiation imaging with intravenous indocyanine green (NIR-ICG) during laparoscopic intervention to identify endometriosis lesions. DESIGN: A single-center, prospective, single-arm pilot study (Canadian Task Force classification II-2). SETTING: An academic tertiary care and research center. PATIENTS: Twenty-seven patients with symptomatic endometriosis were enrolled. INTERVENTIONS:Patients underwent laparoscopic surgery using a laparoscopic system prototype with NIR-ICG. MEASUREMENTS AND MAIN RESULTS: A total of 116 suspected endometriosis lesions were removed from 27 patients. One hundred lesions had already been visualized in white light imaging by an expert surgeon; the remaining 16 were detected and removed using NIR-ICG. A total of 111 specimens were positive for endometriosis pathology. Positive predictive value of 95% and 97.8% and negative predictive value of 86.2% and 82.3% were found by white light imaging and NIR-ICG, respectively, with sensitivity of 85.6% and 82% and specificity of 95.2% and 97.9%, respectively. CONCLUSION:NIR-ICG may be a tool for intraoperative diagnosis, confirmation of visible endometriosis lesions, and a marker for identifying occult endometriosis. Further prospective studies with a larger population sample are warranted to validate these encouraging preliminary results.
Authors: S Cianci; A Rosati; V Rumolo; S Gueli Alletti; V Gallotta; L C Turco; G Corrado; G Vizzielli; A Fagotti; F Fanfani; G Scambia; S Uccella Journal: World J Surg Date: 2019-10 Impact factor: 3.352
Authors: Stefano Cianci; Giuseppe Vizzielli; Anna Fagotti; Fabio Pacelli; Andrea Di Giorgio; Alessandro Tropea; Antonio Biondi; Giovanni Scambia Journal: Updates Surg Date: 2018-06-25
Authors: Marit C I Lier; Stijn L Vlek; Marjolein Ankersmit; Peter M van de Ven; Judith J M L Dekker; Maaike C G Bleeker; Velja Mijatovic; Jurriaan B Tuynman Journal: Surg Endosc Date: 2019-04-26 Impact factor: 4.584
Authors: Luigi Carlo Turco; Giuseppe Vizzielli; Virginia Vargiu; Salvatore Gueli Alletti; Maria De Ninno; Gabriella Ferrandina; Luigi Pedone Anchora; Giovanni Scambia; Francesco Cosentino Journal: Front Oncol Date: 2021-11-15 Impact factor: 6.244