Article
Radiology, Nuclear Medicine & Medical Imaging
Xujie Gao, Tingting Ma, Jingli Cui, Yuwei Zhang, Lingwei Wang, Hui Li, Zhaoxiang Ye
Summary: This study developed and validated a CT-based radiomics model for predicting lymph node metastasis in early stage gastric cancer, showing good performance and clinical utility.
ACADEMIC RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Xiaohan Bai, Lingyu Wu, Jie Dai, Kexin Wang, Hongyuan Shi, Zipeng Lu, Guwei Ji, Jing Yu, Qing Xu
Summary: This study identified radiological features and clinical biomarkers, including rim enhancement, peripancreatic fat stranding, tumor size, tumor resectability, and level of CA125, as predictors of occult metastasis (OM) in pancreatic ductal adenocarcinoma (PDAC). A combined model incorporating these factors showed the highest performance in predicting OM.
ACADEMIC RADIOLOGY
(2023)
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
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
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
Florian N. Loch, Katharina Beyer, Martin E. Kreis, Carsten Kamphues, Wael Rayya, Christian Schineis, Janosch Jahn, Moritz Tronser, Fabian H. J. Elsholtz, Bernd Hamm, Rolf Reiter
Summary: This study investigates the diagnostic performance of Node-RADS compared to individual criteria for assessing regional lymph nodes in gastric cancer. The findings suggest that structured reporting of combined size and configuration criteria slightly improves overall diagnostic performance.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Kristine E. Fasmer, Ankush Gulati, Julie A. Dybvik, Kari S. Wagner-Larsen, Njal Lura, Oyvind Salvesen, David Forsse, Jone Trovik, Johanna M. A. Pijnenborg, Camilla Krakstad, Ingfrid S. Haldorsen
Summary: This study evaluated the diagnostic performance of four different preoperative imaging workups for predicting lymph node metastases in endometrial cancer. The results showed that selective use of [F-18]FDG-PET/CT in patients with high-risk MRI findings detected lymph node metastases better than MRI alone.
EUROPEAN RADIOLOGY
(2023)
Article
Oncology
Xiu-qing Xue, Wen-Ji Yu, Xun Shi, Xiao-Liang Shao, Yue-Tao Wang
Summary: This study developed a radiomics nomogram using preoperative F-18-FDG PET/CT primary lesions and clinical risk factors to predict lymph node metastasis in gastric cancer patients. The nomogram showed good performance in predicting lymph node metastasis and can contribute to risk stratification in gastric cancer patients.
FRONTIERS IN ONCOLOGY
(2022)
Article
Gastroenterology & Hepatology
Anna Sofie Friis Olsen, Anders Kierkegaard Gundestrup, Jakob Kleif, Tara Thanon, Claus Anders Bertelsen
Summary: This study aimed to validate the accuracy of MDCT in Danish patients with colon cancer, showing a high rate of misclassification and questioning the current practice of personalized treatments.
COLORECTAL DISEASE
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Felix G. Gassert, Sebastian Ziegelmayer, Johanna Luitjens, Florian T. Gassert, Fabian Tollens, Johann Rink, Marcus R. Makowski, Johannes Ruebenthaler, Matthias F. Froelich
Summary: This study found that combined CE-MR/CT is a cost-effective imaging strategy for the staging of pancreatic cancer compared to CE-CT. Deterministic and probabilistic sensitivity analyses showed model robustness for varying input parameters.
EUROPEAN RADIOLOGY
(2022)
Article
Oncology
Zepang Sun, Yuming Jiang, Chuanli Chen, Huan Zheng, Weicai Huang, Benjamin Xu, Weijing Tang, Qingyu Yuan, Kangneng Zhou, Xiaokun Liang, Hao Chen, Zhen Han, Hao Feng, Shitong Yu, Yanfeng Hu, Jiang Yu, Zhiwei Zhou, Wei Wang, Yikai Xu, Guoxin Li
Summary: This study developed a radiomics signature based on preoperative CT images to predict LNM status at individual lymph node stations in gastric cancer patients. The radiomics nomograms showed good prediction accuracy and outperformed clinicopathologic characteristics in terms of net benefit according to decision curve analysis. The radiomics signature was found to be significantly associated with LNM status and an independent predictor in multivariable logistic regression analysis.
RADIOTHERAPY AND ONCOLOGY
(2021)
Article
Medicine, General & Internal
Guiling Lu, Liang Chen
Summary: This study compared the diagnostic performance of ultrasound and computed tomography in screening for cervical lymph node metastasis in patients with papillary thyroid cancer before thyroidectomy. The results showed that computed tomography had higher sensitivity and accuracy compared to ultrasound, making it a complementary imaging method for detecting lymph node metastasis.
Article
Health Care Sciences & Services
Martijn P. A. Starmans, Li Shen Ho, Fokko Smits, Nick Beije, Inge de Kruijff, Joep J. de Jong, Diederik M. Somford, Egbert R. Boeve, Ed Te Slaa, Evelyne C. C. Cauberg, Sjoerd Klaver, Antoine G. van der Heijden, Carl J. Wijburg, Addy C. M. van de Luijtgaarden, Harm H. E. van Melick, Ella Cauffman, Peter de Vries, Rens Jacobs, Wiro J. Niessen, Jacob J. Visser, Stefan Klein, Joost L. Boormans, Astrid A. M. van der Veldt
Summary: The study aimed to evaluate the ability of CT-based radiomics to differentiate between pN+ and pN0 disease in patients with clinical stage cT2-T4aN0-N1M0 MIBC. The results showed that radiomics features did not significantly differentiate between pN+ and pN0 disease, and the radiomics models performed no better than random guessing.
JOURNAL OF PERSONALIZED MEDICINE
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Xiaochan Ou, Jianbin Zhu, Yaoming Qu, Chengmei Wang, Baiye Wang, Xirui Xu, Yanyu Wang, Haitao Wen, Andong Ma, Xinzi Liu, Xia Zou, Zhibo Wen
Summary: This study successfully predicted ALN status in breast cancer patients using MDCT-LG mapping of SLN. A cortical thickness greater than 3.3mm may indicate a higher risk of ALN metastasis. MDCT-LG showed high sensitivity, specificity, and negative predictive value for predicting ALN metastasis based on cortical thickness.
BMC MEDICAL IMAGING
(2021)
Article
Oncology
Xingyu Liu, Xiaoyuan Liang, Lingxiang Ruan, Sheng Yan
Summary: The study developed and validated a nomogram for predicting lymph node metastasis in gallbladder cancer patients based on CT radiomics features and clinical variables. The nomogram showed the best diagnostic efficiency in the training cohort, internal validation cohort, and external validation cohort, indicating its promising potential for preoperative prediction of LN status in GBC patients.
FRONTIERS IN ONCOLOGY
(2021)
Article
Cardiac & Cardiovascular Systems
Coen K. M. Boerhout, Guus A. de Waard, Joo Myung Lee, Hernan Mejia-Renteria, Seung Hun Lee, Ji-Hyun Jung, Masahiro Hoshino, Mauro Echavarria-Pinto, Martijn Meuwissen, Hitoshi Matsuo, Maribel Madera-Cambero, Ashkan Eftekhari, Mohamed A. Effat, Tadashi Murai, Koen Marques, Joon-Hyung Doh, Evald H. Christiansen, Rupak Banerjee, Chang-Wook Nam, Giampaolo Niccoli, Masafumi Nakayama, Nobuhiro Tanaka, Eun-Seok Shin, Steven A. J. Chamuleau, Niels van Royen, Paul Knaapen, Javier Escaned, Tsunekazu Kakuta, Bon Kwon Koo, Jan J. Piek, Tim P. van de Hoef
Summary: The study aimed to evaluate the diagnostic and prognostic value of non-hyperemic Pd/Pa and its additional value when combined with hyperemic pressure ratio (FFR) to guide revascularization. A total of 2141 patients with physiological data in 2726 vessels were included in a retrospective registry. Abnormal pressure ratios in both non-hyperemic and hyperemic conditions were found to have important prognostic value. The combined use of FFR and non-hyperemic Pd/Pa efficiently identified vessels with concordant normal pressure ratios and excellent long-term clinical outcomes.
INTERNATIONAL JOURNAL OF CARDIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jae Hyun Kim, Jeong Hee Yoon, Ijin Joo, Jeong Min Lee
Summary: This study compared two different two-dimensional shear wave elastography techniques, PWI and MB imaging, for evaluating liver fibrosis. The results showed that the MB technique is more reliable for long-term follow-up, suggesting its preference in assessing liver fibrosis in chronic liver disease patients.
Article
Oncology
Jeongin Yoo, Jeong Min Lee, Ijin Joo, Dong Ho Lee, Jeong Hee Yoon, Mi Hye Yu, Jin-Young Jang, Sang Hyub Lee
Summary: This study aimed to determine if the addition of PET/MRI and CA 19-9 to CECT can improve the accuracy of predicting resectability and prognosis in PDAC patients. The results showed that the combination of CECT, PET, and CA 19-9 increased the AUC and sensitivity for determining resectability without compromising specificity. Additionally, FDG avidity on post-NAT PET and pathologically confirmed vascular invasion predicted recurrence-free survival in PDAC patients.
Article
Radiology, Nuclear Medicine & Medical Imaging
Christiane Kuhl, Tibor Csoszi, Wojciech Piskorski, Tomasz Miszalski, Jeong-Min Lee, Pamela M. Otto
Summary: This study compared the effectiveness of Gadopiclenol and Gadobutrol for lesion visualization in body MRI. The results showed that Gadopiclenol at a dose of 0.05 mmol/kg was comparable to Gadobutrol at a dose of 0.1 mmol/kg in terms of lesion evaluation, and both had a similar safety profile.
Article
Oncology
Jeong Hee Yoon, Jin Young Park, Sang Min Lee, Eun Sun Lee, Jae Hyun Kim, Jeong Min Lee
Summary: This study investigated the effect of reduced iodinated contrast medium (CM) dose on contrast-enhanced liver computed tomography (CT). The results showed that image contrast and overall image quality caused by decreased CM can be restored using low monoenergetic imaging or DL-based iodine-boosting reconstruction.
Article
Oncology
Jae Hyun Kim, Hee Soo Kim, Jeong Hee Yoon, Ijin Joo, Jung-Hwan Yoon, Yoon Jun Kim, Su Jong Yu, Jeong Min Lee
Summary: The purpose of this study was to evaluate the technical feasibility and therapeutic outcomes of anatomical ablation using multiple radiofrequency applicators for peripherally-located small hepatocellular carcinomas (HCCs). The results showed a technical success rate of 98.2% and a low incidence of local tumor progression (3.7%) after treatment. Therefore, anatomical ablation using multiple RF applicators can provide excellent local tumor control in patients with peripherally-located small HCCs.
Article
Oncology
Sae-Jin Park, Jeong Hee Yoon, Ijin Joo, Jeong Min Lee
Summary: The calculation of muscle volume on abdominal CT scans can predict survival outcomes and the occurrence of diabetes for liver transplantation recipients.
Review
Radiology, Nuclear Medicine & Medical Imaging
Hyo-Jin Kang, Jeong Min Lee, Se Woo Kim
Summary: Contrast-enhanced ultrasonography (CEUS) is a noninvasive imaging modality used for diagnosing hepatocellular carcinoma (HCC) without the need for pathological confirmation. Different contrast agents, such as SonoVue and Sonazoid, are available for CEUS imaging. Major guidelines recognize CEUS as a reliable method for HCC diagnosis, but the choice of contrast agent varies. This review provides a comparative overview of the pharmacokinetic features, examination protocols, diagnostic criteria, and potential applications of these contrast agents in the HCC diagnostic algorithm.
Article
Radiology, Nuclear Medicine & Medical Imaging
Junghoan Park, Jae Seok Bae, Jong-Min Kim, Joseph Nathanael Witanto, Sang Joon Park, Jeong Min Lee
Summary: This study aimed to develop a deep-learning model for classifying LI-RADS major features using subtraction MRI images. The model showed satisfactory performance in both HCC segmentation and LI-RADS major feature classification.
ABDOMINAL RADIOLOGY
(2023)
Meeting Abstract
Cardiac & Cardiovascular Systems
Bon-Kwon Koo, Doyeon Hwang, Jaewook Chung, Joo Myung Lee, Hyunjong Lee, Chang-Wook Nam, Eun-Seok Shin, Joon-Hyung Doh, Akiko Matsuo, Hitoshi Matsuo, Shao-Liang Chen
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
(2023)
Article
Cardiac & Cardiovascular Systems
Sonali Kumar, David Molony, Sameer Khawaja, Kaylyn Crawford, Elizabeth W. Thompson, Olivia Hung, Imran Shah, Jessica Navas-Simbana, Arlen Ho, Arnav Kumar, Yi-An Ko, Hossein Hosseini, Adrien Lefieux, Joo Myung Lee, Joo-Yong Hahn, Shao-Liang Chen, Hiromasa Otake, Takashi Akasaka, Eun-Seok Shin, Bon-Kwon Koo, Goran Stankovic, Dejan Milasinovic, Chang-Wook Nam, Ki-Bum Won, Javier Escaned, Andrejs Erglis, Yoshinobu Murasato, Alessandro Veneziani, Habib Samady
Summary: Coronary stent underexpansion is associated with restenosis and stent thrombosis. High wall shear stress (WSS) has been linked to prothrombotic pathways activation, matrix metalloproteinases upregulation, and future myocardial infarction in atherosclerosis studies. This study aimed to investigate the relationship between stent underexpansion and WSS. The results showed that frames with stent underexpansion were more likely to exhibit high WSS, while no significant association was found between underexpansion and low WSS or between underexpansion and stent platform.
INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Hyo-Jin Kang, Jeong Min Lee, Chulkyun Ahn, Jae Seok Bae, Seungchul Han, Se Woo Kim, Jeong Hee Yoon, Joon Koo Han
Summary: This study investigated the image quality and lesion conspicuity of a deep-learning-based contrast-boosting algorithm on double-low-dose CT in high-risk participants for HCC. The results showed that the algorithm improved the visibility of the aorta and portal vein and did not significantly affect the detection rate of HCC.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jae Hyun Kim, Jeong Hee Yoon, Se Woo Kim, Junghoan Park, Seong Hwan Bae, Jeong Min Lee
Summary: This study evaluated the efficacy of a vendor-specific deep learning reconstruction algorithm (DLRA) in enhancing image quality and focal lesion detection in gadoxetic acid-enhanced liver MRI. The results showed that DLRA significantly improved image quality and had higher sensitivity for focal lesion detection compared to conventional methods.
ABDOMINAL RADIOLOGY
(2023)
Article
Oncology
Dong Ho Lee, Seung Soo Lee, Jeong Min Lee, Jin-Young Choi, Chang Hee Lee, Hong Il Ha, Bo-Kyeong Kang, Mi Hye Yu, Won Chang, Sae Jin Park
Summary: The assessment of tumor vascular contact is crucial for evaluating the resectability of pancreatic ductal adenocarcinoma (PDAC). This study compared the image quality and diagnostic performance of high-resolution (HR) pancreas computed tomography (CT) using 80 kVp with 1 mm slice thickness (ST) with the standard protocol CT using 120 kVp. The results showed that HR-CT had better contrast and tumor visibility, but it was not significantly different from standard CT in predicting resectability.
Correction
Radiology, Nuclear Medicine & Medical Imaging
Kathryn J. Fowler, Mustafa R. Bashir, David T. Fetzer, Azusa Kitao, Jeong Min Lee, Hanyu Jiang, Ania Z. Kielar, Maxime Ronot, Aya Kamaya, Robert M. Marks, Khaled M. Elsayes, An Tang, Claude B. Sirlin, Victoria Chernyak