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Published in: World Journal of Urology 9/2023

07-07-2023 | Metastasis | Original Article

Performance of indocyanine green in sentinel lymph node mapping and lymph node metastasis in penile cancer: systematic review, meta-analysis, and single-center experience

Authors: Rui Zhang, Yaqin Zhang, Sihan Dong, Kai Pang, Xiaofeng Yang, Xunbin Wei

Published in: World Journal of Urology | Issue 9/2023

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Abstract

Purpose

The aim of this study was to investigate the overall sensitivity and specificity of indocyanine green (ICG)-near-infrared (NIR) fluorescence imaging in the detection of sentinel lymph node metastasis (SLNM) in penile cancer.

Methods

We searched PubMed, Embase, Web of Science, Scopus, and the Cochrane Library databases to identify manuscripts where ICG was intravenously administered prior to or during penile cancer surgery, with no restriction on language or publication status. The results extracted are presented as forest plots.

Results

Seven studies were included in the analysis. The median sensitivity and specificity of ICG-NIR imaging for SLNM detection were 100 and 4%, respectively; the pooled sensitivity was 100.0% (95% confidence interval [CI] 97.0–100.0) and specificity was 2.0% (95% CI 1.0–3.0). There was no significant difference in the diagnostic results between different injection sites and doses in each experimental group.

Conclusion

To our knowledge, this meta-analysis is the first to summarize the diagnostic performance of ICG-NIR imaging for SLNM detection in penile cancer. ICG is sensitive in the imaging of SLN tissue, which can consequently improve the accuracy of lymph node detection. However, the specificity is very low.
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Metadata
Title
Performance of indocyanine green in sentinel lymph node mapping and lymph node metastasis in penile cancer: systematic review, meta-analysis, and single-center experience
Authors
Rui Zhang
Yaqin Zhang
Sihan Dong
Kai Pang
Xiaofeng Yang
Xunbin Wei
Publication date
07-07-2023
Publisher
Springer Berlin Heidelberg
Published in
World Journal of Urology / Issue 9/2023
Print ISSN: 0724-4983
Electronic ISSN: 1433-8726
DOI
https://doi.org/10.1007/s00345-023-04485-x

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