Article
Radiology, Nuclear Medicine & Medical Imaging
Jin Jiang, Fa-jin Lv, Yang Tao, Bin-jie Fu, Wang-jia Li, Rui-yu Lin, Zhi-gang Chu
Summary: Through multivariate analysis of clinical and CT characteristics, smoking history, larger nodule diameter, lobulation, narrow basement, and other factors were identified as independent predictors for distinguishing between malignant and benign SPANs.
INSIGHTS INTO IMAGING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Wang-Jia Li, Fa-Jin Lv, Yi-Wen Tan, Bin-Jie Fu, Zhi-Gang Chu
Summary: By comparing the CT features of PSNs, significant differences were found in patient age, smoking history, and nodule morphology between benign and malignant PSNs. Malignant PSNs tend to have well-defined, lobulated nodules with irregular and scattered internal solid components. Lesion shape, density, and margin were not helpful in distinguishing malignant from benign PSNs.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2022)
Review
Oncology
Sara Ricciardi, Richard Booton, Rene Horsleben Petersen, Maurizio Infante, Marco Scarci, Giulia Veronesi, Giuseppe Cardillo
Summary: This paragraph discusses the multiple lung cancer screening trials and studies conducted in Europe since 2011, following the promising results of the National Lung Screening Trial. It highlights the increasing importance of managing subsolid nodules, with guidelines and controversies existing around their optimal management. Follow-up imaging is crucial in the clinical assessment and management of subsolid nodules, as they can represent both benign and malignant lesions with varying clinical behavior.
TRANSLATIONAL LUNG CANCER RESEARCH
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Kiran Vaidhya Venkadesh, Arnaud A. A. Setio, Anton Schreuder, Ernst T. Scholten, Kaman Chung, Mathilde M. W. Wille, Zaigham Saghir, Bram van Ginneken, Mathias Prokop, Colin Jacobs
Summary: The deep learning algorithm developed in this study showed excellent performance in estimating the malignancy risk of pulmonary nodules detected at screening CT, outperforming the PanCanadian model in certain cohorts and performing comparably to thoracic radiologists. This algorithm has the potential to provide reliable and reproducible malignancy risk scores for clinicians, which may help optimize management in lung cancer screening.
Article
Radiology, Nuclear Medicine & Medical Imaging
Mark M. Hammer, Suzanne C. Byrne
Summary: This study evaluated the performance of Lung-RADS and NELSON classifications in assessing nodules detected on follow-up lung cancer screening CT examinations. The results showed that clinical Lung-RADS achieved excellent performance, while volumetric assessments had weaker performance. Furthermore, new nodules warrant smaller size thresholds than existing nodules.
AMERICAN JOURNAL OF ROENTGENOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Kai-Hsiung Ko, Tsai-Wang Huang, Wei-Chou Chang, Hsu-Kai Huang, Wen-Chiuan Tsai, Hsian-He Hsu
Summary: The study investigated CT features of pulmonary subsolid nodules in the size range of 5-20 mm and identified well-defined border, nodule thickness, and C/A ratio as significant predictors of malignancy. A predictive model combining these factors showed high accuracy and specificity in distinguishing focal interstitial fibrosis from adenocarcinoma.
EUROPEAN RADIOLOGY
(2021)
Article
Immunology
Rui-Yu Lin, Fa-Jin Lv, Bin-Jie Fu, Wang-Jia Li, Zhang-Rui Liang, Zhi-Gang Chu
Summary: This study aimed to investigate the clinical and CT characteristics of absorbable pulmonary solid nodules (PSNs) and found that in patients younger than 55 years, PSNs with specific features should be highly suspected as absorbable nodules.
JOURNAL OF INFLAMMATION RESEARCH
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Hirofumi Koike, Kazuto Ashizawa, Shin Tsutsui, Minoru Fukuda, Shinji Okano, Keitaro Matsumoto, Takeshi Nagayasu, Sumihisa Honda, Masataka Uetani
Summary: The study revealed that patients with heterogeneous ground-glass nodules had significantly longer disease-free survival (DFS) compared to those with part-solid nodules. There were also significant pathological differences between the heterogeneous GGNs and part-solid nodules.
JAPANESE JOURNAL OF RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Suzanne C. Byrne, Mark M. Hammer
Summary: This study evaluated the yield of short-term follow-up CT in showing growth among malignant nodules detected on lung cancer screening CT. The findings suggest that malignant nodules grow slowly on follow-up CT, and 3-month follow-up CT has a very low yield. Therefore, stability at 3-month follow-up should not instill high confidence in benignancy.
AMERICAN JOURNAL OF ROENTGENOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Zhang-Rui Liang, Fa-Jin Lv, Bin-Jie Fu, Rui-Yu Lin, Wang-Jia Li, Zhi-Gang Chu
Summary: This study evaluated the use of the reticulation sign on thin-section CT images for predicting the invasiveness of pure ground-glass nodules (pGGNs). The reticulation sign was found to have high specificity in predicting invasiveness. Therefore, the presence of the reticulation sign on thin-section CT suggests a high suspicion of invasive adenocarcinoma.
AMERICAN JOURNAL OF ROENTGENOLOGY
(2023)
Article
Respiratory System
Yeon Wook Kim, Byoung Soo Kwon, Sung Yoon Lim, Yeon Joo Lee, Jong Sun Park, Young-Jae Cho, Ho Il Yoon, Kyung Won Lee, Jae Ho Lee, Jin-Haeng Chung, Eunjeong Ji, Choon-Taek Lee
Summary: Limited data are available regarding the management of subsolid nodules detected on lung cancer screening with low-dose CT (LDCT). This study aimed to determine the characteristics of screen-detected subsolid nodules and evaluate the probability of lung cancer and the clinical course of these nodules. Results showed a high rate of subsolid nodule detection on LDCT screening, particularly among never-smokers, with new subsolid nodules showing a lower probability of lung cancer and a higher likelihood of spontaneous resolution.
Review
Oncology
Masaaki Sato, Shun-Mao Yang, Dong Tian, Nakajima Jun, Jang-Ming Lee
Summary: This article discusses the controversial issues and conditions surrounding subsolid pulmonary nodules commonly seen in Asia, including lack of guidelines, roles of preoperative biopsy and imaging, lesion location, selection of localization techniques, dissection and sampling of frozen sections and lymph nodes, multifocal lesions, and non-surgical treatment modalities. The aim is to provide updated evidence and opinions to assist surgeons and physicians in managing ground glass nodules in a balanced manner and encourage further discussion for better guidelines and algorithms.
TRANSLATIONAL LUNG CANCER RESEARCH
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Roger Y. Kim, Jason L. Oke, Lyndsey C. Pickup, Reginald F. Munden, Travis L. Dotson, Christina R. Bellinger, Avi Cohen, Michael J. Simoff, Pierre P. Massion, Claire Filippini, Fergus Gleeson, Anil Vachani
Summary: Computer-aided diagnosis improves malignancy risk assessment and interobserver agreement in the evaluation of indeterminate pulmonary nodules.
Article
Oncology
Hirofumi Koike, Kazuto Ashizawa, Shin Tsutsui, Hirokazu Kurohama, Shinji Okano, Takeshi Nagayasu, Shoji Kido, Masataka Uetani, Ryo Toya
Summary: This study evaluated the differences between heterogeneous ground-glass nodules (HGGNs) and part-solid nodules (PSNs) in lung cancer using grayscale histogram analysis. The results showed that histogram parameters were effective in differentiating between HGGNs and PSNs, as well as differentiating between different pathological types. Grayscale histogram analysis can be a useful tool in estimating the pathology of these lesions.
CLINICAL LUNG CANCER
(2023)
Review
Oncology
Alan D. L. Sihoe
Summary: The increasing use of low-dose CT for lung cancer screening leads to the identification of many small, asymptomatic lung nodules and ground-glass opacities. Current guidelines suggest a conservative approach, but recent developments in thoracic surgery raise questions about the necessity of holding back on operative biopsy and resection. The option for early surgical therapy, especially with sublobar resection, is now being considered due to modern data suggesting the risk of inaction may be higher than expected.
TRANSLATIONAL LUNG CANCER RESEARCH
(2021)
Review
Environmental Sciences
Jiyong Heo, Namguk Her, Min Jang, Chang Min Park, Ahjeong Son, Jonghun Han, Yeomin Yoon
Summary: This comprehensive review summarizes the recent research on the photocatalytic and electrocatalytic reduction of CO2 using MXene-based nanomaterials. It covers various catalysts for photocatalytic CO2 reduction, electrocatalytic CO2 reduction, CO2 reduction with photothermal catalysis and hydrogenation, and the stability of MXene-based photoelectrocatalysts. The challenges in large-scale fabrication of MXene-based nanomaterials are also discussed, as well as the future research prospects.
CRITICAL REVIEWS IN ENVIRONMENTAL SCIENCE AND TECHNOLOGY
(2023)
Article
Engineering, Environmental
Lewis Kamande Njaramba, Minseok Kim, Yeonji Yea, Yeomin Yoon, Chang Min Park
Summary: In this study, a novel biopolymer-based aerogel composite was developed for efficient removal of non-steroidal anti-inflammatory drugs (NSAIDs). The composite aerogel exhibited superior adsorption performance and remained highly efficient after multiple uses. The study also revealed the adsorption mechanisms and proposed optimized experimental conditions.
CHEMICAL ENGINEERING JOURNAL
(2023)
Review
Engineering, Environmental
Seong-Nam Nam, Chang Min Park, Min Jang, Yi Huang, Am Jang, Ahjeong Son, Yeomin Yoon
Summary: Boron nitride (BN) has attracted significant interest in environmental applications due to its unique properties. BN-based membranes have been used in various liquid purification/separation applications, but further research is needed to fully understand the removal/separation mechanisms. This review provides an overview of different types of BN nanomaterials incorporated into RO, NF, and UF membranes and discusses various factors affecting the fabrication and separation performance.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Chemistry, Physical
Velusamy Maheskumar, Karunamoorthy Saravanakumar, Yeonji Yea, Yeomin Yoon, Chang Min Park
Summary: In this study, a nanocomposite catalyst of FeNi2S4 nanoparticles/CoFe nanowires supported on nickel foam was prepared and showed excellent electrocatalytic performance. The FeNi2S4/CoFe electrode exhibited small overpotentials for oxygen and hydrogen evolution reactions and improved charge transfer processes. Furthermore, it also showed promising potential for urea-assisted water electrolysis with lower energy consumption. These results highlight the applications of nanoparticle and nanowire composite catalysts in wastewater treatment and green energy production.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Engineering, Environmental
Soyoung Park, Sewoon Kim, Yeonji Yea, Karunamoorthy Saravanakumar, Eunji Lee, Yeomin Yoon, Chang Min Park
Summary: In this study, cobalt doped/ZnTiO3/Ti3C2Tx MXene material was synthesized and found to have excellent performance in the adsorption and photocatalytic degradation of tetracycline antibiotics. The material showed high adsorption capacity and degradation rate, suggesting its potential application in removing tetracycline antibiotics widely used in animal husbandry.
JOURNAL OF HAZARDOUS MATERIALS
(2023)
Article
Surgery
Kicheol Yoon, Sung-Min Cho, Kwang Gi Kim, Young Woo Cheon
Summary: This paper proposes a remote monitoring technology to observe a patient's condition in real time, addressing the inconvenience of daily observation required in free flap surgery. The camera system captures images of the surgical site every 2 seconds and transmits them to the attending physician or nurse via Wi-Fi. Results show that high-quality images are obtained without any storage errors during the shooting process.
SURGICAL INNOVATION
(2023)
Article
Multidisciplinary Sciences
Jae Won Seo, Suyoung Park, Young Jae Kim, Jung Han Hwang, Sung Hyun Yu, Jeong Ho Kim, Kwang Gi Kim
Summary: Early diagnosis of deep venous thrombosis is crucial for reducing complications. This study evaluated the performance of an artificial intelligence algorithm in detecting iliofemoral deep venous thrombosis on computed tomography angiography. The results demonstrated the effectiveness of the clinical approach in improving the reporting efficiency of critical cases.
SCIENTIFIC REPORTS
(2023)
Article
Chemistry, Physical
Velusamy Maheskumar, Karunamoorthy Saravanakumar, Jagan Govindan, Chang Min Park
Summary: The design and implementation of a novel heterostructure interface of La2Ni0.5Co0.5MnO6 nanoparticles and MoO3 nanobelt array-supported amorphous polyaniline (PANI; MoO3/P) have been developed for efficient oxygen evolution reaction (OER) and urea electrooxidation reaction (UOR). The optimized La2Ni0.5Co0.5MnO6@MoO3/P (LMP-30) showed excellent electrocatalytic performance with low overpotentials of 300 mV at 10 mA cm-2 (vs RHE) for OER and 0.48 V at 50 mA cm-2 (vs Hg/HgO) for UOR, as well as enhanced stability after 12-hour testing. This improved performance is attributed to the distinctive hierarchical nanostructure, offering synergistic effects on electrical characteristics and an electrochemically active surface area. Furthermore, the LNCM nanoparticles on the MoO3/P nanobelts provide more electrocatalytic active sites, efficient charge transport capacity, improved electrical properties, and strong electronic contacts.
APPLIED SURFACE SCIENCE
(2023)
Article
Dentistry, Oral Surgery & Medicine
Seok Oh, Young Jae Kim, Jeseong Kim, Joon Hyeok Jung, Hun Jun Lim, Bong Chul Kim, Kwang Gi Kim
Summary: This study investigated the possibility of predicting the osseointegration of dental implants using deep learning based on plain radiography. The results showed that deep learning models can predict the degree of osseointegration to some extent, which is expected to complement the currently widely used evaluation methods.
Article
Medicine, General & Internal
Sungho Hong, Eui Jin Hwang, Soojin Kim, Jiyoung Song, Taehee Lee, Gyeong Deok Jo, Yelim Choi, Chang Min Park, Jin Mo Goo
Summary: This study evaluated the influence of different visualization methods for AI-CAD on the accuracy of radiologists' interpretations of chest radiographs. The combined method of closed-line and heat map visualization showed significantly higher sensitivity and accuracy compared to the closed-line method. The heat map and combined methods also had significantly higher detection rates of clinically significant abnormalities.
Article
Medicine, General & Internal
Minki Ju, Kicheol Yoon, Sangyun Lee, Kwang Gi Kim
Summary: To remove tumors with the same blood vessel color, observation is performed using a surgical microscope through fluorescent staining. This study proposes to increase the beam width and power of LED by utilizing the quasi-symmetrical beam irradiation method. The result shows a significant enhancement in fluorescence emission probability and approximately four times increase in mirror light power.
Article
Radiology, Nuclear Medicine & Medical Imaging
Yong-Tae Kim, Tae Seok Jeong, Young Jae Kim, Woo Seok Kim, Kwang Gi Kim, Gi Taek Yee
Summary: Radiographic examination is essential for diagnosing spinal disorders. We propose a pipeline for automated measurement of spinal parameters by combining a Mask R-CNN model for spine segmentation with computer vision algorithms. This pipeline can be incorporated into clinical workflows to provide clinical utility in diagnosis and treatment planning.
JOURNAL OF DIGITAL IMAGING
(2023)
Article
Medical Informatics
Juhui Lee, Soyoon Kwon, Jong Hoon Kim, Kwang Gi Kim
Summary: This paper proposes a system that can automatically generate pill image data from various angles. The system consists of three components: structure, controller, and graphical user interface. The system is manufactured using a 3D printer for lightweight and easy manufacturing. The workflow of the pill filming system generates 300 pill images with a total collection time of 21 minutes and 25 seconds. The high-quality, large quantity of data generated by this system can contribute to various studies using pill images.
HEALTHCARE INFORMATICS RESEARCH
(2023)
Article
Medicine, General & Internal
Seon Min Lee, Kicheol Yoon, Sangyun Lee, Seung Yeob Ryu, Kwang Gi Kim
Summary: This study proposes an asymmetric irradiation array for LEDs to provide uniform power and increase their intensity within the beam width. By using a ring-type array structure and a multi-asymmetric irradiation method, the irradiation power of the LEDs was increased. Through experimental methods and 3D printing technology, it was confirmed that the LED satisfies the conditions for fluorescence emission induction.
Article
Clinical Neurology
Tae Seok Jeong, Gi Taek Yee, Kwang Gi Kim, Young Jae Kim, Sang Gu Lee, Woo Kyung Kim
Summary: This study analyzed and evaluated the diagnostic performance of a deep learning algorithm in identifying skull fractures in plain radiographic images. The results showed that the algorithm achieved high precision and recall rates for skull fracture diagnosis. Furthermore, significant differences were found between different views of the skull images, and the algorithm performed poorly in detecting certain types of fractures.
JOURNAL OF KOREAN NEUROSURGICAL SOCIETY
(2023)
