The Role of Carbon Nanoparticles as Lymph Node Tracers in Colorectal Cancer: A Systematic Review and Meta-Analysis.
Georgios KoimtzisGeorgios GeropoulosLeandros StefanopoulosChristopher Gwydion ChalklinIoannis KarniadakisVyron AlexandrouNikos TteralliEliot Carrington-WindoAndreas PapacharalampousKyriakos PsarrasPublished in: International journal of molecular sciences (2023)
Colorectal malignancies are the third-most common malignancies worldwide, with a rising incidence. Surgery remains the treatment of choice and adequate lymph node dissection is required for accurate staging. The objective of this study is to assess the use of carbon nanoparticles in lymph node tracing and resection in cases of colorectal cancer. For that purpose, we conducted a systematic review and meta-analysis of studies included in Medline, Scopus, Embase, Cochrane Library, and Google Scholar databases. In the end, ten studies with a total number of 1418 patients were included in the final statistical analysis. The meta-analysis carried out showed that the use of carbon nanoparticles results in an increased number of lymph nodes harvested (WMD 6.15, 95% CI 4.14 to 8.16, p < 0.001) and a higher rate of cases with more than 12 lymph nodes harvested (OR 9.57, 95% CI 2.87 to 31.96, p = 0.0002). As a consequence, we suggest that carbon nanoparticles are used on a wider scale and that future research focuses on assessing the association between their use and overall patient survival. This study is limited by the fact that all included studies originate from China and by the fact that certain oncologic parameters and long-term outcomes have not been taken into account in the analysis.
Keyphrases
- lymph node
- sentinel lymph node
- neoadjuvant chemotherapy
- case control
- systematic review
- end stage renal disease
- minimally invasive
- ejection fraction
- chronic kidney disease
- prostate cancer
- newly diagnosed
- peritoneal dialysis
- squamous cell carcinoma
- prognostic factors
- rectal cancer
- coronary artery disease
- pet ct
- decision making
- big data
- free survival
- walled carbon nanotubes
- robot assisted