Robotic surgeries in pediatric patients: an early experience in a single center.

Purpose: Robotic surgery (RS) has the advantages of 3-dimensional view, optical magnification, motional scaling, and improved ergonomics and degree of freedom. Although RS has widely been performed on pediatric patients lately, there are still numerous restrictions and ambiguous indications. The purpose of this study was to report our early experience with RS on pediatric patients at a single center. Methods: Electronic medical records of patients who underwent RS with the da Vinci Xi surgical platform (Intuitive Surgical, Inc.) in Seoul National University Children Hospital from November 2019 to August 2021 were reviewed retrospectively. The median follow-up was 21.0 months (range, 12.3-31.8 months). An online survey was conducted to investigate satisfaction with robotic surgical scars. Results: Fifty-four patients underwent robotic surgeries (median age at operation, 11.1 years [range, 0.1-17.8 years]). In our hospital, patients had 20 different kinds of robotic surgeries, including choledochal cyst excision with hepaticojejunostomy, ovarian mass excision, and others. Median operation time and console time were 157.5 minutes (range, 45-505 minutes) and 40 minutes (range, 11-360 minutes), respectively. All cases were done without conversion into open or laparoscopic methods. Postoperative complications were found in 5 patients. According to an online survey, over half of patients (60.9%) answered that they felt satisfied with scars. Conclusion: Our early experience demonstrated the safety and feasibility of RS in children with a range of diagnoses and complicated procedures. With more experience, RS could be an alternative to traditional open or laparoscopic operations in pediatric patients. Further studies are needed to clarify indications of pediatric RS.

Quantitative fat analysis of milk using a line-illumination spatially offset Raman probe through carton packaging.

Milk is a popular dairy product that provides various nutrients, but consuming too much saturated fat from milk can increase the risk of diseases and obesity. Adulterated milk containing toxic substances can be harmful to human health, and toxic substances can enter the milk at any stage of production. Thus, analytical technologies for detecting various nutrients and harmful substances inside the package are a key requisite for the assessment of dairy products on the market. In this study, we developed a Raman spectroscopic method as a quantitative tool for assessing the milk fat composition and detecting toxic chemicals in packaged milk. Using a line-illumination deep Raman system based on both conventional optics and novel optical fibers, we could quantitatively discriminate the Raman signals of milk fat from those of the packaging materials. Finally, the present system allowed the detection of melamine in adulterated milk (employed as a toxicity model) using a multiple-depth fiber probe.