Personalized Sentinel Node Mapping in Endometrial Cancer by the Indocyanine Green Implementation as Single Tracer: A Case Control Study.
Ignacio Cristóbal QuevedoIgnacio CristóbalMyriam GraciaVirginia Garcia-PinedaMaria Alonso-EspiasJaime SiegristMaria Dolores DiestroAlicia HernándezIgnacio Zapardiel GutiérrezPublished in: Journal of personalized medicine (2023)
The main objective was to analyze the rate of bilateral sentinel lymph node (SLN) detection in endometrial cancer using indocyanine green (ICG) as a unique tracer compared to Technetium99 + ICG. As secondary objectives, we analyzed the drainage pattern and factors that might affect the oncological outcomes. A case-control ambispective study was carried out on consecutive patients at our center. Data on the SLN biopsy with ICG collected prospectively were compared to retrospective data on the use of a double-tracer technique including Technetium99 + ICG. In total, 194 patients were enrolled and assigned to both groups, in which the group with both tracers (controls) included 107 (54.9%) patients and the ICG-alone group (cases) included 87 (45.1%) patients. The rate of bilateral drainage was significantly higher in the ICG group (98.9% vs. 89.7%; p = 0.013). The median number of nodes retrieved was higher in the control group (three vs. two nodes; p < 0.01). We did not find survival differences associated with the tracer used ( p = 0.85). We showed significant differences in terms of disease-free survival regarding the SLN location ( p < 0.01), and obturator fossa retrieved nodes showed better prognosis compared to external iliac. The use of ICG as a single tracer for SLN detection in endometrial cancer patients seemed to obtain higher rates of bilateral detection with similar oncological outcomes.
Keyphrases
- sentinel lymph node
- endometrial cancer
- end stage renal disease
- fluorescence imaging
- ejection fraction
- newly diagnosed
- chronic kidney disease
- lymph node
- free survival
- peritoneal dialysis
- early stage
- healthcare
- prostate cancer
- metabolic syndrome
- computed tomography
- patient reported outcomes
- label free
- deep learning
- cross sectional
- quantum dots
- sensitive detection
- mass spectrometry
- loop mediated isothermal amplification
- case control