Article
Radiology, Nuclear Medicine & Medical Imaging
Ke Sun, Aijun You, Bin Wang, Nan Song, Ziwei Wan, Fengying Wu, Wencheng Zhao, Fei Zhou, Wei Li
Summary: The clinicopathological characteristics and oncological outcomes of c-T1aN0M0 lung cancer were investigated based on the 8th TNM classification. The study found that pure-GGN and part-solid pulmonary nodules had excellent prognosis, while pure-solid nodules were associated with a higher risk of recurrence. Preoperative CEA level and CTR were significant predictors of RFS and OS in c-T1aN0M0 lung cancer.
EUROPEAN RADIOLOGY
(2021)
Article
Oncology
Yinghao Meng, Hao Zhang, Qi Li, Fang Liu, Xu Fang, Jing Li, Jieyu Yu, Xiaochen Feng, Mengmeng Zhu, Na Li, Guodong Jing, Li Wang, Chao Ma, Jianping Lu, Yun Bian, Chengwei Shao
Summary: The study developed and validated a machine learning classifier based on MDCT for preoperative prediction of TSR in PDAC patients. The XGBoost classifier showed good discrimination in the training set and moderate discrimination in the validation set, indicating its potential value as a noninvasive tool for predicting TSR and optimizing risk stratification in PDAC patients.
FRONTIERS IN ONCOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Ronald Booij, Marcel van Straten, Andreas Wimmer, Ricardo P. J. Budde
Summary: The study evaluated the impact of breathing state on the accuracy of a 3D camera for body contour detection and patient positioning in thoracic CT. Results showed that acquiring camera images and subsequent CT scans in the same breathing state leads to accurate and precise patient positioning. It is recommended to obtain expiratory planning images when performing a thoracic CT scan in both inspiratory and expiratory breathing states.
EUROPEAN RADIOLOGY
(2022)
Review
Radiology, Nuclear Medicine & Medical Imaging
Ankush Jajodia, Ashley Wang, Mostafa Alabousi, Christopher Wilks, Ameya Kulkarni, Christian B. van der Pol
Summary: This study conducted a systematic review comparing the diagnostic accuracy of MRI and CT in assessing vascular invasion in pancreatic ductal adenocarcinoma (PDAC). The results showed no difference between MRI and CT in diagnosing PDAC vascular invasion. MRI may be a suitable alternative to pancreatic protocol CT in some patients, but larger and more recent cohort studies are needed to confirm these findings.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yoshifumi Noda, Nozomi Mizuno, Nobuyuki Kawai, Tomohiro Ando, Masaya Kawaguchi, Shoma Nagata, Keita Fujimoto, Fumihiko Nakamura, Tetsuro Kaga, Takuma Ishihara, Fuminori Hyodo, Hiroki Kato, Avinash R. Kambadakone, Masayuki Matsuo
Summary: This study aimed to investigate the accuracy and interobserver variability in the diagnosis of arterial invasion in pancreatic ductal adenocarcinoma (PDAC) and determine the best criterion for CT imaging. The findings showed that solid soft tissue contact ≤ 180 degrees was the best diagnostic criterion for arterial invasion in PDAC. The study also revealed considerable interobserver variability among radiologists.
EUROPEAN RADIOLOGY
(2023)
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Marie-Pierre Revel, Guillaume Chassagnon
Summary: This opinion piece discusses the importance of promoting lung cancer screening in at-risk women who are smokers or ex-smokers from the age of 50. The epidemiology of lung cancer in European women is concerning, with lung cancer mortality expected to surpass breast cancer mortality. In addition to early detection of lung cancer, screening can also detect coronary heart disease and osteoporosis induced by smoking.
INSIGHTS INTO IMAGING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Pengpeng Liu, Ping'an Ding, Haotian Wu, Jiaxiang Wu, Peigang Yang, Yuan Tian, Honghai Guo, Qun Zhao
Summary: A visible nomogram that integrates CT images and clinicopathological parameters was developed to accurately predict preoperative occult peritoneal metastasis (OPM) in gastric cancer (GC), enabling the selection of appropriate therapeutic regimens.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Ieun Yoon, Jae Seok Bae, Jeongin Yoo, Dong Ho Lee, Se Hyung Kim
Summary: Studies suggest that compared to MDCT alone, MDCT combined with [F-18]FDG PET/MRI can improve the diagnostic accuracy for preoperative M staging and resectability in patients with recurrent gastric cancer, with a significant advantage in evaluating M staging.
EUROPEAN RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Giovanni Foti, Ronaldo Silva, Niccolo Faccioli, Alessandro Fighera, Rossella Menghini, Arianna Campagnola, Giovanni Carbognin
Summary: In a selected, high-prevalence population, VP-DECT is considered an accurate imaging tool for diagnosing PE compared to CTPA. The sensitivity of VP-DECT images in per-patient analysis was 90.0%, with 100% specificity; while in per-lobe analysis, sensitivity ranged from 100% for the right lower lobe to 50% for the left upper lobe.
EUROPEAN RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Q. Li, X. Li, X-Y Li, X-Q He, Z-G Chu, T-Y Luo
Summary: The study investigated the value of DESCT in evaluating the histological subtypes of SILADC. Significant differences were found between two groups with different prognosis. DESCT showed potential clinical application prospects in assessing the histological subtypes of SILADC.
CLINICAL RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Li-Wei Chen, Shun-Mao Yang, Hao-Jen Wang, Yi-Chang Chen, Mong-Wei Lin, Min-Shu Hsieh, Hsiang-Lin Song, Huan-Jang Ko, Chung-Ming Chen, Yeun-Chung Chang
Summary: Using near-pure radiomic features and patch-wise image analysis demonstrated high levels of sensitivity and moderate levels of specificity for detecting high-grade ADC subtypes, providing basic information for pathological subtyping.
EUROPEAN RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Matteo Bonatti, Riccardo Valletta, Fabio Lombardo, Giulia A. Zamboni, Emanuela Turri, Giacomo Avesani, Giancarlo Mansueto, Riccardo Manfredi, Gunther Schifferle
Summary: The study evaluated the diagnostic performance of unenhanced brain CT in identifying patients with CVT. The presence of sinus hyperdensity at NECT enabled the detection of patients with CVT with 81% sensitivity and 77% specificity. A sinus attenuation cutoff value of 63 HU can be used to increase specificity, but lower sensitivity.
Article
Radiology, Nuclear Medicine & Medical Imaging
Jun Shu, Didi Wen, Ziliang Xu, Xiaoli Meng, Zhixiang Zhang, Shushen Lin, Minwen Zheng
Summary: The study demonstrates that semi-automated assessment can improve the interobserver agreement of nodule type and Lung-RADS classification for subsolid nodules (SSNs), and tends to classify SSNs corresponding to pathologically confirmed invasive adenocarcinomas (IACs) into higher risk categories.
EUROPEAN JOURNAL OF RADIOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Chengzhou Zhang, Liping Wang, Xiaoting Cai, Mengfei Li, Dandan Sun, Ping Wang
Summary: The relationship between tumor and pleura is a risk factor for occult lymph node metastasis (OLNM) in peripheral clinical stage IA solid adenocarcinoma. Patients with type 3 or 4 tumor-pleura relationship are more likely to have visceral pleural invasion and predict OLNM.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yoshifumi Noda, Nisanard Pisuchpen, Nathaniel D. Mercaldo, Yurie Sekigami, Theodoros Michelakos, Anushri Parakh, Jennifer Y. Wo, Motaz Qadan, Cristina Ferrone, Keith D. Lillemoe, David P. Ryan, Jeffrey W. Clark, Carlos Fernandez-Del Castillo, Theodore S. Hong, Avinash R. Kambadakone
Summary: A CT-based scoring system incorporating arterial involvement and resectability status was developed to predict R0 resection in PDAC patients undergoing neoadjuvant CRT. The score was associated with R0 resection and survival outcomes.
EUROPEAN RADIOLOGY
(2022)
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
Radiology, Nuclear Medicine & Medical Imaging
Ieun Yoon, Jung Hee Hong, Joseph Nathanael Witanto, Jae-Joon Yim, Nakwon Kwak, Jin Mo Goo, Soon Ho Yoon
Summary: This study investigates the clinical significance of CT cavity volume in tuberculosis (TB) and non-tuberculous mycobacterial pulmonary disease (NTM-PD), and develops a 3D nnU-Net model to automatically detect and quantify cavity volume on CT images. The results show that CT cavity volume is associated with sputum positivity in TB and necessity of treatment in NTM-PD. The nnU-Net model accurately detects and quantifies mycobacterial cavities on chest CT, aiding in the assessment of TB infectivity and initiation of NTM-TB treatment.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(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
Radiology, Nuclear Medicine & Medical Imaging
Jongsoo Park, Eui Jin Hwang, Jong Hyuk Lee, Wonju Hong, Ju Gang Nam, Woo Hyeon Lim, Jae Hyun Kim, Jin Mo Goo, Chang Min Park
Summary: This study aimed to evaluate the accuracy of a deep learning-based computer-aided detection (CAD) system in identifying active pulmonary tuberculosis on chest radiographs (CRs) of patients with positive interferon-gamma release assay (IGRA) results in different scenarios of clinical implementation. The results showed that the CAD system can improve the sensitivity of the diagnosis and effectively reduce the workload of radiologists.
JOURNAL OF THORACIC IMAGING
(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
Radiology, Nuclear Medicine & Medical Imaging
Jung Hee Hong, Hyunsook Hong, Ye Ra Choi, Dong Hyun Kim, Jin Young Kim, Jeong-Hwa Yoon, Soon Ho Yoon
Summary: This study aimed to evaluate the correlation between single- and multi-slice cross-sectional thoracolumbar and whole-body compositions. Retrospective analysis of patients who underwent whole-body PET-CT scans was conducted. The results showed that single-slice L2-3 (abdominal CT range) and L1 (chest CT range) analysis had the best correlation of around 0.90 with whole-body composition. Multi-slice waist averaging provided a slightly higher correlation of 0.92.
INSIGHTS INTO IMAGING
(2023)
Review
Radiology, Nuclear Medicine & Medical Imaging
Bo Da Nam, Hyunsook Hong, Soon Ho Yoon
Summary: This study meta-analyzed diagnostic performance measures of standardized typical CT findings for COVID-19 and found that they provided moderate sensitivity and high specificity globally, regardless of region and national income. The findings were also highly reproducible between radiologists.
INSIGHTS INTO IMAGING
(2023)
Correction
Medicine, General & Internal
Soon Ho Yoon, Soo-Youn Ham, Bo Da Nam, Kum Ju Chae, Dabee Lee, Jin Young Yoo, So Hyeon Bak, Jin Young Kim, Jin Hwan Kim, Ki Beom Kim, Jung Im Jung, Jae-Kwang Lim, Jong Eun Lee, Myung Jin Chung, Young Kyung Lee, Young Seon Kim, Ji Eun Jo, Sang Min Lee, Woocheol Kwon, Chang Min Park, Yun-Hyeon Kim, Yeon Joo Jeong
JOURNAL OF KOREAN MEDICAL SCIENCE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Seul Bi Lee, Youngtaek Hong, Yeon Jin Cho, Dawun Jeong, Jina Lee, Soon Ho Yoon, Seunghyun Lee, Young Hun Choi, Jung-Eun Cheon
Summary: This study aimed to improve the performance of deep learning-based automated hepatic segmentation by using image standardization through deep learning-based computed tomography (CT) image conversion. The results showed that after image standardization, the Dice similarity coefficient (DSC) and difference ratio of liver volume significantly increased, indicating that deep learning-based CT image standardization can enhance the performance of automated hepatic segmentation.
KOREAN JOURNAL OF RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Ju Gang Nam, Yunhee Choi, Sang-Min Lee, Soon Ho Yoon, Jin Mo Goo, Hyungjin Kim
Summary: The prognostic value of DL-driven CT fibrosis quantification in IPF was investigated. CT-Norm% and CT-Fib% showed significant correlations with FVC and D-LCO. Both CT-Norm% and CT-Fib% were independent prognostic factors for overall survival in IPF when adjusted for various variables. Substituting CT-Norm% for D-LCO showed comparable discrimination to the original GAP index.
EUROPEAN RADIOLOGY
(2023)
Article
Health Care Sciences & Services
Thiego Ramon Soares, Roberto Dias de Oliveira, Yiran E. Liu, Andrea da Silva Santos, Paulo Cesar Pereira dos Santos, Luma Ravena Soares Monte, Lissandra Maia de Oliveira, Chang Min Park, Eui Jin Hwang, Jason R. Andrews, Julio Croda
Summary: This study assessed the accuracy of artificial intelligence-based chest x-ray interpretation algorithms for tuberculosis (TB) screening in prisons, and found that these algorithms have good accuracy in TB screening in prisons, but have lower specificity in individuals with previous TB.
LANCET REGIONAL HEALTH-AMERICAS
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Eui Jin Hwang, Jin Mo Goo, Ju Gang Nam, Chang Min Park, Ki Jeong Hong, Ki Hong Kim
Summary: This study compared the accuracy of chest radiograph (CR) interpretation assisted by AI-CAD to that of conventional interpretation in patients with acute respiratory symptoms. The results showed that AI-CAD did not improve the accuracy of CR interpretation.
KOREAN JOURNAL OF RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Seok Young Koh, Jong Hyuk Lee, Hyungin Park, Jin Mo Goo
Summary: This study evaluated the relationship between changes in deep learning-based CT quantification of interstitial lung disease (ILD) and changes in forced vital capacity (FVC) and visual assessments of ILD progression, as well as their prognostic implications. The results showed that changes in ILD CT quantification were correlated with changes in FVC and visual assessment of ILD progression, and they served as independent prognostic factors in ILD patients.
EUROPEAN RADIOLOGY
(2023)