Initial Experience of Single-Port Robotic Lobectomy for Large-Sized Non-Small Cell Lung Cancer: A Single-Center Retrospective Study.

Single-port robotic-assisted thoracic surgery (SP-RATS) lobectomy using the da Vinci Xi system has been performed by several pioneers. However, due to the severe collisions and the steep learning curve, this approach is not yet widely used. This study aimed to evaluate the feasibility of SP-RATS lobectomy for large-sized non-small cell lung cancer (NSCLC).

Multi-Biomarker Profiling for Precision Diagnosis of Lung Cancer.

Multi-biomarker analysis can enhance the accuracy of the single-biomarker analysis by reducing the errors caused by genetic and environmental differences. For this reason, multi-biomarker analysis shows higher accuracy in early and precision diagnosis. However, conventional analysis methods have limitations for multi-biomarker analysis because of their long pre-processing times, inconsistent results, and large sample requirements.

Subxiphoid Single-Port Robotic Thymectomy Using the Single-Port Robotic System versus VATS: A Multi-Institutional, Retrospective, and Propensity Score-Matched Study.

Subxiphoid thymectomy is a novel alternative to the transthoracic approach and sternotomy, with potential benefits, such as reduced postoperative pain and faster recovery. We previously reported the initial experience with subxiphoid single-port robotic-assisted thoracic surgery (SRATS) thymectomy using the single-port robotic system (SPS). However, the efficacy of this technique remains unknown.

Novel locally nebulized indocyanine green for simultaneous identification of tumor margin and intersegmental plane.

Background: Segmentectomy, recommended for early-stage lung cancer or compromised lung function, demands precise tumor detection and intersegmental plane identification. While indocyanine green (ICG) commonly aids in these aspects using near-infrared imaging, its separate administrations through different routes and times can lead to complications and patient anxiety. This study aims to develop a lung-specific delivery method by nebulizing low-dose ICG to targeted lung segments, allowing simultaneous detection of lung tumors and intersegmental planes across diverse animal models.

Robotic thoracic surgery using the single-port robotic system: Initial experience with more than 100 cases.

Objective: This study aimed to report the initial experiences of 115 patients who underwent robotic thoracic surgery using the da Vinci single-port robotic surgical system (Intuitive Surgical).

Methods: Robotic thoracic surgery using the da Vinci single-port robotic surgical system was performed on 115 patients between November 2020 and June 2023. Patient characteristics, intraoperative outcomes, and postoperative outcomes were analyzed retrospectively.

An injectable fluorescent and iodinated hydrogel for preoperative localization and dual image-guided surgery of pulmonary nodules.

The widespread use of video-assisted thoracoscopic surgery (VATS) has triggered the rapid expansion in the field of computed tomography (CT)-guided preoperative localization and near-infrared (NIR) fluorescence image-guided surgery. However, its broader application has been hindered by the absence of ideal imaging contrasts that are biocompatible, minimally invasive, highly resolvable, and perfectly localized within the diseased tissue. To achieve this goal, we synthesize a dextran-based fluorescent and iodinated hydrogel, which can be injected into the tissue and imaged with both CT and NIR fluorescence modalities.

Simultaneous Visualization of Lung Tumor and Intersegmental Plane during Pulmonary Segmentectomy by Intravenous Injection of Indocyanine Green.

Segmentectomy is a targeted surgical approach tailored for patients with compromised health and early-stage lung cancer. The key to successful segmentectomy lies in precisely identifying the tumor and intersegmental planes to ensure adequate resection margins. In this study, we aimed to enhance this process by simultaneously visualizing the tumor and intersegmental planes through the intravenous injection of indocyanine green (ICG) at different time points and doses.

Single-port robotic subcostal major pulmonary resection using the single-port robotic system.

Background: The da Vinci single-port system (SPS) (Intuitive Surgical, Sunnyvale, CA, USA) was designed for single-port (SP) surgery. Although we have reported our clinical outcomes using the SPS for a simple procedure in general thoracic surgery, major pulmonary resection had been performed only in cadaveric experiments to date. This study evaluated the feasibility of SP subcostal robotic major pulmonary resection using the SPS.

Detection of metastatic lymph node and sentinel lymph node mapping ​using mannose receptor targeting in in vivo mouse footpad tumor models and rabbit uterine cancer models.

Background: This study aimed to evaluate the effectiveness of neo-mannosyl human serum albumin-indocyanine green (MSA-ICG) for detecting metastatic lymph node (LN) and mapping sentinel lymph node (SLN) using mouse footpad uterine tumor models. Additionally, the authors assessed the feasibility of MSA-ICG in SLN mapping in rabbit uterine cancer models.

Materials And Methods: The authors compared the LN targeting ability of MSA-ICG with ICG.

Precise and safe pulmonary segmentectomy enabled by visualizing cancer margins with dual-channel near-infrared fluorescence.

Background: Segmentectomy is a type of limited resection surgery indicated for patients with very early-stage lung cancer or compromised function because it can improve quality of life with minimal removal of normal tissue. For segmentectomy, an accurate detection of the tumor with simultaneous identification of the lung intersegment plane is critical. However, it is not easy to identify both during surgery.

Health risk assessment of uranium intake from private residential drinking groundwater facilities based on geological characteristics across the Republic of Korea.

Groundwater contributes to an average of 8 % of the total water source capacity in the Republic of Korea. Hence, private residential households in rural areas in Korea are still using groundwater for drinking without any regular water quality inspection. This can increase the risk of exposure to natural radionuclides like uranium through drinking groundwater.

Prediction of groundwater quality index to assess suitability for drinking purpose using averaged neural network and geospatial analysis.

Groundwater quality management is pivotal for ensuring public health and ecological resilience. However, the conventional water quality indices often face challenges related to parameter selection, geographic coverage, and scalability. The integration of machine learning and spatial analysis represents a promising methodological shift, allowing for high accuracy and adaptive management strategies.

The novel use and feasibility of hemostatic oxidized regenerated cellulose agent (SurgiGuard): multicenter retrospective study.

Background: SurgiGuard is an absorbent hemostatic agent based on oxidized regenerated cellulose. The efficacy, effects and safety of SurgiGuard are equivalent to existing hemostatic agents in animal experiments. This study was designed to confirm that the use of SurgiGuard alone is effective, safe and feasible compared to combination with other hemostatic methods.

Optimization of Indocyanine Green for Intraoperative Fluorescent Image-Guided Localization of Lung Cancer; Analysis Based on Solid Component of Lung Nodule.

ICG fluorescence imaging has been used to detect lung cancer; however, there is no consensus regarding the optimization of the indocyanine green (ICG) injection method. The aim of this study was to determine the optimal dose and timing of ICG for lung cancer detection using animal models and to evaluate the feasibility of ICG fluorescence in lung cancer patients. In a preclinical study, twenty C57BL/6 mice with footpad cancer and thirty-three rabbits with VX2 lung cancer were used.

Characterization of seasonal behaviors of naturally occurring radioactive materials in a groundwater borehole using an in situ monitoring system.

Understanding the temporal behaviors of naturally occurring radioactive materials is important for safeguarding groundwater as a secure water resource for drinking, agriculture, and industry usage. This study reports the vertical profiles of U concentration and Rn activity and the management of in situ monitoring systems during intensive field sampling of a national groundwater-monitoring borehole for seven years (2015-2021). The aim was to capture the seasonal characteristics of the U concentrations and Rn activity.

Improvement of phoswich detector-based β+/γ-ray discrimination algorithm with deep learning.

Background: Positron probes can accurately localize malignant tumors by directly detecting positrons emitted from positron-emitting radiopharmaceuticals that accumulate in malignant tumors. In the conventional method for direct positron detection, multilayer scintillator detection and pulse shape discrimination techniques are used. However, some γ-rays cannot be distinguished by conventional methods.

Identification of Metastatic Lymph Nodes Using Indocyanine Green Fluorescence Imaging.

Indocyanine green (ICG) has been used to detect several types of tumors; however, its ability to detect metastatic lymph nodes (LNs) remains unclear. Our goal was to determine the feasibility of ICG in detecting metastatic LNs. We established a mouse model and evaluated the potential of ICG.

Biportal robotic surgery for anterior mediastinal mass.

Background: Robotic-assisted surgery for mediastinal disease has been shown to be beneficial in facilitating easier mediastinal dissection with its three-dimensional views and multi-articulated moving instruments. Herein, we report our experience with the biportal approach of robot-assisted anterior mediastinal mass surgery, including both lateral transthoracic and subxiphoid approaches.

Methods: We retrospectively analyzed 21 patients who underwent biportal robotic-assisted anterior mediastinal mass resection, without considering the tumor size between May 2018 and September 2022.

Single test-based diagnosis of multiple cancer types using Exosome-SERS-AI for early stage cancers.

Early cancer detection has significant clinical value, but there remains no single method that can comprehensively identify multiple types of early-stage cancer. Here, we report the diagnostic accuracy of simultaneous detection of 6 types of early-stage cancers (lung, breast, colon, liver, pancreas, and stomach) by analyzing surface-enhanced Raman spectroscopy profiles of exosomes using artificial intelligence in a retrospective study design. It includes classification models that recognize signal patterns of plasma exosomes to identify both their presence and tissues of origin.

Multi-institutional surgical outcomes of robotic single-port surgery: a Korean experience.

Background: The da Vinci single-port system (SPS) has been applied in several fields of surgery; however, only a few studies have reported its applications in general thoracic surgery. This retrospective study aimed to investigate the multi-institutional experiences of applications of SPS in Korea.

Methods: The surgical outcomes of three institutions in Korea were collected and retrospectively reviewed.