Papathemelis, Thomas and Scharl, Anton and Anapolski, Michael and Inwald, Elisabeth C. and Ignatov, Atanas and Ortmann, Olaf and Gerken, Michael and Klinkhammer-Schalke, Monika and Scharl, Sophia (2020) Value of indocyanine green pelvic lymph node mapping in the surgical approach of cervical cancer. ARCHIVES OF GYNECOLOGY AND OBSTETRICS, 301 (3). pp. 787-792. ISSN 0932-0067, 1432-0711
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Purpose Lymph node metastasis is a significant predictive factor for disease recurrence and survival in cervical cancer patients and relevant for therapeutic strategies. We evaluated the clinical value of indocyanine green (ICG) by measuring the sensitivity and negative predictive value of sentinel lymph node mapping compared with the gold standard of complete lymphadenectomy in detecting lymph node metastases for cervical cancer. Methods We utilized the near-infrared imaging agent ICG to detect tumor-infested lymph nodes in the pelvis analogue to a classical sentinel lymph node procedure by analyzing data from 20 patients who had undergone surgery for cervical cancer at our institution. A laparoscopic lymph node mapping procedure by means of ICG, followed by a complete pelvic lymphadenectomy with or without paraaortic lymphadenectomy was done in all patients. Results Histological examination identified seven patients with tumor-positive pelvic nodes, whereas mapping with ICG identified only five of these patients. Detection rate of positive nodes by ICG mapping and false negative rate was 71.4% and 28.6%, respectively; bilateral detection rate was 83.3%. One of the two false negative patients additionally suffered from deep infiltrating endometriosis. Conclusions Our results indicate that ICG can identify the relevant pelvic nodes independent of tumor size, provided bilateral detection is achieved and additional, related diseases are excluded.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | BLUE-DYE; SENTINEL; BIOPSY; FLUORESCENCE; WOMEN; IDENTIFICATION; RADIOTRACER; Cervical cancer; Lymph node mapping; Indocyanine green |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Zentren des Universitätsklinikums Regensburg > Tumorzentrum e.V. |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 30 Mar 2021 08:52 |
| Last Modified: | 30 Mar 2021 08:52 |
| URI: | https://pred.uni-regensburg.de/id/eprint/45127 |
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