Diagnostic accuracy of sentinel lymph node biopsy using indocyanine green in lung cancer: a systematic review and meta-analysis

Autor: Awrad Nasralla, Aryan Modasi, Warren Y. L. Sun, Jerry T. Dang, Simon R. Turner, Daniel W. Birch, Shahzeer Karmali, Noah J. Switzer
Rok vydání: 2020
Předmět:
Zdroj: General thoracic and cardiovascular surgery. 68(9)
ISSN: 1863-6713
Popis: The use of sentinel lymph node biopsy (SLNB) has been gaining popularity with the emergence of indocyanine green (ICG) fluorescence imaging. We aimed to systematically review the literature and perform a meta-analysis on the diagnostic accuracy of SLNB using ICG for lung cancer. A comprehensive search of MEDLINE, EMBASE, SCOPUS, Web of Science, and the Cochrane Library using search terms “lung/pulmonary” AND “tumor/carcinoma/cancer/neoplasm/adenocarcinoma/malignancy/squamous/carcinoid” AND “indocyanine green” was completed in June 2018. Articles were selected based on the following inclusion criteria: (1) diagnostic accuracy study design; (2) ICG injected at the tumor site with near-infrared fluorescence imaging identification of sentinel lymph nodes; (3) lymphadenectomy or sampling was performed as the gold standard. Eight primary studies were included with a total of 366 patients. 43.0% of patients were females and the mean tumor size was 2.3 cm. Sentinel lymph nodes were identified with ICG in 251 patients, yielding a pooled identification rate of 0.83 (0.67–0.94). A meta-analysis of seven studies computed a diagnostic odds ratio, sensitivity, and specificity of 177.6 (45.6–691.1), 0.85 (0.71–0.94), and 1.00 (0.98–1.00), respectively. The summary receiver operator characteristic demonstrated an area under the curve of 0.963 (SE = 0.038) and a Q* of 0.91 (SE = 0.057). Our review found suboptimal results for the diagnostic accuracy of SLNB using ICG and must be improved before routine clinical use. Further research is required to develop a robust protocol for the use SLNB with ICG for lung cancer.
Databáze: OpenAIRE