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
Oncology
Anton Schreuder, Mathias Prokop, Ernst T. Scholten, Onno M. Mets, Kaman Chung, Firdaus A. A. Mohamed Hoesein, Colin Jacobs, Cornelia M. Schaefer-Prokop
Summary: The risk assessment of pulmonary nodules on chest computed tomography is crucial for early detection of lung cancer. Findings suggest that the number and types of nodules on CT scans may be predictive of future development of lung cancer at different locations. The study highlights the importance of utilizing information from whole scans to improve accuracy in lung cancer risk assessment.
Article
Oncology
Tianle Shen, Runping Hou, Xiaodan Ye, Xiaoyang Li, Junfeng Xiong, Qin Zhang, Chenchen Zhang, Xuwei Cai, Wen Yu, Jun Zhao, Xiaolong Fu
Summary: The study successfully developed and validated a deep learning-based model on CT images for predicting the malignancy and invasiveness of pulmonary subsolid nodules. Compared to observer readers, the model outperformed in accuracy and has the potential to assist surgeons in making treatment decisions.
FRONTIERS IN ONCOLOGY
(2021)
Review
Oncology
Zhedong Zhang, Lixin Zhou, Fan Yang, Xiao Li
Summary: Research on the natural growth history of persistent pulmonary subsolid nodules can provide evidence-based medical recommendations for nodule management. With the advancement of radiomics and artificial intelligence technology, individualized evaluation of subsolid nodules becomes possible. The combination of these technologies with liquid biopsy is expected to make significant progress in the precise management of subsolid nodules in the early stage of lung cancer.
FRONTIERS IN ONCOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Michael T. Corwin, Mohamed Badawy, Elaine M. Caoili, Benjamin W. Carney, Ceylan Colak, Khaled M. Elsayes, Rosalind Gerson, Sergio P. Klimkowski, Rachel McPhedran, Amit Pandya, Matthew E. Pouw, Nicola Schieda, Julie H. Song, Erick M. Remer
Summary: This study aimed to compare the prevalence of malignancy in incidental adrenal nodules with unenhanced attenuation more than 10 HU in patients without a known malignancy history. The results showed that in nodules smaller than 4 cm, the prevalence of malignancy did not significantly differ between those with and without washout of 60% or more, and washout of 60% or more had suboptimal performance for characterizing nodules as benign.
AMERICAN JOURNAL OF ROENTGENOLOGY
(2022)
Review
Medicine, General & Internal
Yung-Chi Liu, Chia-Hao Liang, Yun-Ju Wu, Chi-Shen Chen, En-Kuei Tang, Fu-Zong Wu
Summary: With the increasing popularity of lung cancer screening, many persistent subsolid nodules (SSNs) have been found in Asian non-smokers. However, studies have shown that SSNs exhibit diverse growth trends during long-term follow ups. This article extensively reviews existing literature to explore the definitions, rationale, and clinical applications of different interval growths of SSN management and follow-up strategies. The establishment of SSN growth thresholds with various growth patterns can assist in clinical decision making and the formulation of follow-up guidelines, thus reducing over- and delayed diagnoses. Overall, utilizing different SSN growth thresholds can optimize the follow-up management and clinical decision making in lung cancer screening programs, leading to a decrease in lung cancer mortality rate and potential harm from overdiagnosis and over management.
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.
Article
Radiology, Nuclear Medicine & Medical Imaging
Fu-Zong Wu, Yun-Ju Wu, Chi-Shen Chen, En-Kuei Tang
Summary: Investigated the prognostic value of radiomic-based prediction model in predicting the interval growth rate of persistent subsolid nodules with an initial size of < 3 cm manifesting as lung adenocarcinomas.
ACADEMIC RADIOLOGY
(2023)
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
Fu-Zong Wu, Yun-Ju Wu, En-Kuei Tang
Summary: In this study, a nomogram model based on least absolute shrinkage and selection operator was developed, which integrated semantic-radiomic features to differentiate preinvasive and invasive pulmonary adenocarcinoma lesions. The model showed good diagnostic performance and could provide guidance for physicians and aid in making informed decisions in managing subsolid nodules.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2023)
Article
Oncology
Zhedong Zhang, Lixin Zhou, Xianjun Min, Hao Li, Qingyi Qi, Chao Sun, Kunkun Sun, Fan Yang, Xiao Li
Summary: This study aimed to explore the long-term follow-up results of three different types of subsolid nodules (SSNs), finding that pure ground-glass nodules (pGGNs), heterogeneous ground-glass nodules (hGGNs), and real part-solid nodules (rPSNs) have significantly different natural histories. Age, initial nodule diameter, and ground-glass nodule ratio are important risk factors for SSN growth.
Article
Radiology, Nuclear Medicine & Medical Imaging
Hae Young Kim, Yoon Jin Lee, Won Chang, Ji Hoon Park, Jungheum Cho, Hyeon Jeong Oh, Young Hoon Kim, Kyoung Ho Lee
Summary: The study found that adrenal nodules detected on staging CT in patients with resectable colorectal cancer are rarely malignant.
EUROPEAN RADIOLOGY
(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
Radiology, Nuclear Medicine & Medical Imaging
Hae Young Kim, Won Chang, Yoon Jin Lee, Ji Hoon Park, Jungheum Cho, Hee Young Na, Hyungwoo Ahn, Sung Il Hwang, Hak Jong Lee, Young Hoon Kim, Kyoung Ho Lee
Summary: This retrospective study aimed to measure the prevalence of adrenal nodules and the proportion of malignant nodules among patients with potentially resectable gastric cancer detected at staging CT. The results showed that the prevalence of adrenal nodules was 4.5% and the proportion of malignant nodules was low. This suggests the need for more accurate screening methods in the evaluation of adrenal nodules to avoid unnecessary additional imaging and examinations.
Article
Cardiac & Cardiovascular Systems
Nobuyuki Yoshiyasu, Fumitsugu Kojima, Kuniyoshi Hayashi, Daisuke Yamada, Toru Bando
Summary: This study developed a method for automatically identifying invasive tumors among subsolid nodules using LD-CT radiomics technology and demonstrated its effectiveness in timely detection and monitoring of these nodules.
THORACIC AND CARDIOVASCULAR SURGEON
(2023)
Article
Environmental Sciences
Jingyeong Shin, Sangki Choi, Chang Min Park, Jinhua Wang, Young Mo Kim
Summary: The study compared the effectiveness of chemically enhanced primary treatment (CEPT) with conventional primary sedimentation alone in reducing antibiotic resistance genes (ARGs) and intI1 in wastewater from a wastewater treatment plant (WWTP). CEPT significantly reduced the absolute abundance of ARGs and intI1, along with a 90% reduction in turbidity. Increasing coagulants' doses improved the reduction of ARGs and intI1, with turbidity or total phosphorus (T-P) identified as suitable indicators linked to variations in ARGs abundance during CEPT. This research suggests that CEPT shows promise in controlling the flow of ARGs into WWTPs.
Article
Environmental Sciences
Sivakumar Vigneshwaran, Palliyalil Sirajudheen, Valiya Peedikakkal Sajna, Chang Min Park, Sankaran Meenakshi
Summary: A hybrid porous nanocomposite CS-Fe@Cu-BTC was synthesized using the hydrothermal method, which exhibited excellent photocatalytic performance and mineralization efficiency. It also demonstrated good durability after multiple cycles.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Eui Jin Hwang, Jongsoo Park, Wonju Hong, Hyun-Ju Lee, Hyewon Choi, Hyungjin Kim, Ju Gang Nam, Jin Mo Goo, Soon Ho Yoon, Chang Hyun Lee, Chang Min Park
Summary: This study investigated the effectiveness of an artificial intelligence system for identifying false negatives in chest radiographs that were initially interpreted as normal by radiologists. The results showed that the AI system was able to identify relevant abnormalities overlooked by radiologists and provide feedback to help correct their false-negative interpretations.
EUROPEAN RADIOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Min Gwan Kim, Bo Ram Yang, Chang Min Park, Soon Ho Yoon
Summary: This study retrospectively analyzed the data of 415 patients with stage I lung cancer who underwent preoperative PTNB, and found that no particular PTNB techniques reduced the risk of pleural recurrence in these patients.
EUROPEAN RADIOLOGY
(2022)
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
Environmental Sciences
Gyuri Kim, Yeonji Yea, Lewis Kamande Njaramba, Yeomin Yoon, Sewoon Kim, Chang Min Park
Summary: In this study, SFZIF-8 was synthesized and found to have a higher adsorption performance for both Pb(II) and TC compared to commonly used adsorbents. The adsorption behaviors were explained by electrostatic attraction, surface complexation, hydrogen bonding, and 7C-7C interactions. SFZIF-8 nanocomposites can be utilized as alternative and promising adsorbents for the simultaneous removal of both Pb(II) and TC.
ENVIRONMENTAL RESEARCH
(2022)
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)
Article
Engineering, Environmental
Nahyun Kim, Byungjun Cha, Yeonji Yea, Lewis Kamande Njaramba, Sivakumar Vigneshwaran, S. SD. Elanchezhiyan, Chang Min Park
Summary: The study successfully enhanced the efficiency of removing TC and CIP from water environments by using Alg@MOF-rGO hydrogel beads, exploring the influencing factors of the adsorption process and kinetic models.
CHEMICAL ENGINEERING JOURNAL
(2022)
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
Engineering, Environmental
Taeyeon Kim, Keunyoung Yun, Nahyun Kim, Byungjun Cha, Jonghun Han, Lewis Kamande Njaramba, S. SD. Elanchezhiyan, Chang Min Park
Summary: Considerable amounts of phenols and their derivatives are present in water bodies, posing a threat to the environment due to their resistance to decomposition and high toxicity. This study focuses on the development of a novel aluminum-based metal-organic framework aerogel composite (GMA-1.0) as an effective adsorbent for the removal of phenolic compounds from aqueous environments. The results show that GMA-1.0 exhibits excellent adsorption capacity, selectivity, and performance, making it a promising material for phenolic waste remediation.
JOURNAL OF WATER PROCESS ENGINEERING
(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
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
Engineering, Environmental
Karunamoorthy Saravanakumar, Keunyoung Yun, Velusamy Maheskumar, Yeonji Yea, Govindan Jagan, Chang Min Park
Summary: In this study, a novel Ti3C2 MXene quantum dots (MQDs)-modified In2S3/MQDs/SmFeO3 (IMS) Z-scheme heterojunction was successfully designed and investigated. The as-prepared IMS heterojunctions showed significantly enhanced photocatalytic degradation of sulfamethoxazole and 4-chlorophenol compared to single and binary catalysts. The introduction of MQDs as charge transport bridges in the Z-scheme system played a crucial role in achieving effective spatial separation and charge transfer.
CHEMICAL ENGINEERING JOURNAL
(2023)