Evidence map›Paper›PMID 40670731›Full record

ArticleUpdates in surgery2025

Indocyanine green fluorescence in pelvic lymph node dissection during laparoscopic radical prostatectomy: a randomized controlled trial.

Si-Qi Wang, Hao Wang, Yi-Fan Chu, Da-Wei Xie, Ming-Shuai Wang, Ji-Qing Zhang, Li-Yang Wu, Wei Wang, Jian-Wen Wang

Abstract read
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In one paragraph

Article in Updates in surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Si-Qi Wang *Department of Urology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China.
Hao Wang *Department of Urology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China.
Yi-Fan ChuDepartment of Urology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China.
Da-Wei XieDepartment of Urology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China.
Ming-Shuai WangDepartment of Urology, Cancer Hospital Chinese Academy of Medical Sciences, Beijing, 100021, China.
Ji-Qing ZhangDepartment of Urology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China.
Li-Yang WuDepartment of Urology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China.
Wei WangDepartment of Urology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China. weiwang0920@163.com.
Jian-Wen WangDepartment of Urology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China. wjianw999@163.com.

Funding

S & T Program of Hebei, China 19277716DWu Jieping Medical Foundation 320.6750.18013
6 · The paper itself

Abstract

To evaluate the feasibility and diagnostic accuracy of indocyanine green (ICG)-guided pelvic lymph node dissection (PLND) during laparoscopic radical prostatectomy, and compare the lymph node detection rate and 3-year biochemical recurrence (BCR) rate between PLND and ICG-guided PLND. Sixty-eight patients were randomly divided into intervention and control groups (1:1). The intervention group underwent standard pelvic lymph node dissection (sPLND) and fluorescent visible sentinel lymph node dissection (SLND) after an ultrasound-guided injection of ICG (25 mg), while the control group received sPLND without ICG injection. Kaplan-Meier survival curves were used to compare the two groups of patients for BCR at a point three years post-surgery. In the intervention group, 284 lymph nodes were removed, and 58 lymph nodes were visualized by ICG, including 4 positive lymph nodes. In the control group, 205 lymph nodes were removed. There were three cases of ICG leakage and six cases of lymphocele in the intervention group and one case of lymphocele in the control group. The sensitivity and specificity of ICG-guided lymph node dissection was 80.00% and 82.29%, respectively, while the area under the curve (AUC) of the receiver operating characteristic (ROC) curve was 0.727. The patients in the intervention group had longer biochemical recurrence-free survival (BRFS) rates compared to those in the control group. ICG-mediated fluorescence imaging technology is safe and reliable, although the sensitivity and specificity of identifying metastatic lymph nodes was not sufficient. This technique can be used as an auxiliary method to optimize BRFS, increase diagnostic accuracy during lymph node dissection, and reduce misdiagnosis.

Indexed as

Indocyanine GreenLaparoscopyLymph node dissectionProstate cancerSLN

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.