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Updated: Apr 7, 2026

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Sentinel Lymph Node Mapping and Biopsy for Endometrial Cancer at Early Stage with Laparoscopy
Published on: August 19, 2021
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Sentinel lymph node biopsy in bladder cancer: Systematic review and technology update
Michael A Liss1, Jonathan Noguchi2, Hak J Lee2
1Department of Urology, University of Texas Health Science Center, San Antonio, TX, United States.
Summary
Sentinel lymph node (SLN) biopsy shows promise for bladder cancer staging, with a 92% negative predictive value. However, high false negative rates necessitate further research and standardization for accurate metastasis detection.
Area of Science:
- Uro-oncology
- Surgical oncology
- Diagnostic imaging
Background:
- Sentinel lymph node (SLN) biopsy is a standard staging tool for melanoma and breast cancer.
- Its role in urothelial carcinoma of the bladder remains under investigation.
- SLNs are the initial lymph nodes to receive drainage from a solid tumor.
Purpose of the Study:
- To systematically review the utility of SLN detection in urothelial carcinoma of the bladder.
- To assess the accuracy of SLN biopsy in predicting metastasis.
- To identify areas for improvement in SLN biopsy techniques for bladder cancer.
Main Methods:
- Systematic literature search of PubMed for human and animal studies on SLN detection in bladder cancer.
- Analysis of identified studies assessing various imaging techniques for SLN identification.
- Evaluation of reported negative and positive predictive values and false negative rates.
Main Results:
- Nine studies (8 human, 1 animal) met the inclusion criteria.
- The overall negative predictive value of SLN biopsy was 92% (92/100) for predicting a metastasis-free state.
- The positive predictive value was 77% (43/56), with a false negative rate ranging from 0-19%.
Conclusions:
- SLN biopsy is a promising concept for bladder cancer staging with a high negative predictive value.
- High false negative rates indicate a need for standardization of patient populations and indications.
- Advancements in detection technologies may improve micrometastasis identification and surgical guidance, potentially reducing patient morbidity.

