Article
Radiology, Nuclear Medicine & Medical Imaging
Lijuan Feng, Xu Yang, Xia Lu, Ying Kan, Chao Wang, Dehui Sun, Hui Zhang, Wei Wang, Jigang Yang
Summary: This study developed and validated a radiomics nomogram based on F-18-fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) for non-invasive prediction of bone marrow involvement (BMI) in pediatric neuroblastoma. The radiomics nomogram incorporated radiomics signature and independent clinical risk factors, and showed good predictive performance in predicting BMI.
INSIGHTS INTO IMAGING
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Lijuan Feng, Xu Yang, Xia Lu, Ying Kan, Chao Wang, Hui Zhang, Wei Wang, Jigang Yang
Summary: This study developed and validated a radiomics nomogram based on 18F-FDG PET/CT for the diagnosis of bone marrow involvement in pediatric neuroblastoma. The nomogram showed good diagnostic performance and could improve the diagnostic accuracy without additional medical costs and radiation exposure.
ACADEMIC RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yuki Onozato, Takekazu Iwata, Yasufumi Uematsu, Daiki Shimizu, Takayoshi Yamamoto, Yukiko Matsui, Kazuyuki Ogawa, Junpei Kuyama, Yuichi Sakairi, Eiryo Kawakami, Toshihiko Iizasa, Ichiro Yoshino
Summary: This study developed and validated multiple machine learning models using radiomic features from preoperative [F-18]fluorodeoxyglucose positron emission tomography/computed tomography (PET/CT) images to predict the pathological invasiveness of lung cancer.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2023)
Article
Medicine, General & Internal
Dajana Cuicchi, Margherita Mottola, Paolo Castellucci, Alessandro Bevilacqua, Arrigo Cattabriga, Maria Adriana Cocozza, Stefano Cardelli, Gerti Dajti, Susanna Mattoni, Rita Golfieri, Stefano Fanti, Alberta Cappelli, Francesca Coppola, Gilberto Poggioli
Summary: This study used radiomic analysis to improve the diagnosis accuracy of locally recurrent rectal cancer (LRRC). By characterizing tissue properties through quantitative features, it facilitated the accurate detection of LRRC through CT and PET/CT.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Lijuan Feng, Shuxin Zhang, Xia Lu, Xu Yang, Ying Kan, Chao Wang, Hui Zhang, Wei Wang, Jigang Yang
Summary: This study investigated the use of F-18-fluorodeoxyglucose (F-18-FDG) positron emission tomography/computed tomography (PET/CT) radiomics features to accurately identify event-free survival (EFS) in pediatric neuroblastoma. The noninvasive combined model showed superior performance compared to clinical and conventional PET models in predicting EFS.
ACADEMIC RADIOLOGY
(2023)
Review
Oncology
Xinyu Ge, Jianxiong Gao, Rong Niu, Yunmei Shi, Xiaoliang Shao, Yuetao Wang, Xiaonan Shao
Summary: This article reviews the progress in applying 18F-FDG PET/CT and radiomics in clinical research on lung adenocarcinoma and how these data are analyzed using traditional statistics, machine learning, and deep learning to predict EGFR mutation status. Satisfactory results have been achieved through traditional statistics, machine learning, and deep learning. Future research should combine these methods to achieve more accurate predictions and provide reliable evidence for the precision treatment of lung adenocarcinoma.
FRONTIERS IN ONCOLOGY
(2023)
Article
Oncology
Beihui Xue, Jia Jiang, Lei Chen, Sunjie Wu, Xuan Zheng, Xiangwu Zheng, Kun Tang
Summary: This study developed a preoperative radiomics model based on PET images to predict peritoneal metastasis of gastric cancer. By utilizing logistic regression analysis, significant differences were observed in CA125, SUVmax, and radiomics signatures among patients. The comprehensive model incorporating rad-score, CA125, and SUVmax demonstrated promising predictive performance.
FRONTIERS IN ONCOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Xiaohui Zhang, Lin Chen, Han Jiang, Xuexin He, Liu Feng, Miaoqi Ni, Mindi Ma, Jing Wang, Teng Zhang, Shuang Wu, Rui Zhou, Chentao Jin, Kai Zhang, Wenbin Qian, Zexin Chen, Cheng Zhuo, Hong Zhang, Mei Tian
Summary: The hybrid nomograms combining RS with IPI significantly improved survival prediction in DLBCL. Radiomic analysis on MBV may serve as a potential approach for prognosis assessment in DLBCL.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Zhaobang Liu, Ming Li, Changjing Zuo, Zehong Yang, Xiaokai Yang, Shengnan Ren, Ye Peng, Gaofeng Sun, Jun Shen, Chao Cheng, Xiaodong Yang
Summary: The study aimed to create a radiomics-based prediction model using dual-time PET/CT imaging for the classification of PDAC and AIP lesions. The model showed promising performance for discriminating between benign AIP and malignant PDAC lesions, indicating its potential as a diagnostic tool for clinical decision-making.
EUROPEAN RADIOLOGY
(2021)
Article
Medicine, General & Internal
Janna Morawitz, Ole Martin, Johannes Boos, Lino M. Sawicki, Katrin Wingendorf, Martin Sedlmair, Eduards Mamlins, Christina Antke, Gerald Antoch, Benedikt M. Schaarschmidt
Summary: This study evaluated the impact of different metal artifact reduction algorithms on normal organs in patients with metal implants. The results showed that these algorithms do not alter the data information of normal organs not affected by artifacts.
Article
Radiology, Nuclear Medicine & Medical Imaging
Lili Wang, Tiancheng Li, Junjie Hong, Mingyue Zhang, Mingli Ouyang, Xiangwu Zheng, Kun Tang
Summary: This study developed a radiomics model based on PET images for predicting lymph node metastasis in solid lung adenocarcinoma patients. The model demonstrated good predictive accuracy and clinical utility in preoperative prediction of occult lymph node metastasis.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2021)
Review
Radiology, Nuclear Medicine & Medical Imaging
Benjamin Koa, Austin J. Borja, Mahmoud Aly, Sayuri Padmanabhan, Joseph Tran, Vincent Zhang, Chaitanya Rojulpote, Sheila K. Pierson, Mark-Avery Tamakloe, Johnson S. Khor, Thomas J. Werner, David C. Fajgenbaum, Abass Alavi, Mona-Elisabeth Revheim
Summary: Castleman disease is a rare hematologic condition involving lymphadenopathy and clinical abnormalities, classified into UCD and MCD; MCD is further divided based on etiological driver; FDG-PET/CT plays an important role in differential diagnosis and monitoring treatment responses.
INSIGHTS INTO IMAGING
(2021)
Review
Oncology
Federica Matteucci, Giovanni Paganelli, Giovanni Martinelli, Claudio Cerchione
Summary: Recent advances in the diagnosis and treatment of multiple myeloma have emphasized the importance of imaging methods, particularly PET/CT, in providing accurate information for disease localization, prognosis, and therapy response evaluation. While 18F-FDG tracer is commonly used and has high sensitivity, limitations such as physiological uptake in the bone marrow and brain have prompted research on other PET tracers for improved accuracy in multiple myeloma management.
FRONTIERS IN ONCOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Kailin Qiao, Xueting Qin, Shuai Fu, Jiazhong Ren, Jing Jia, Xinying Hu, Yuanyuan Tao, Shuanghu Yuan, Yuchun Wei
Summary: The uptake of [F-18]AlF-NOTA-FAPI-04 and [F-18]FDG imaging tracers varies in malignant and inflammatory lung lesions, with lower uptake observed in inflammatory lesions. This difference in uptake can be valuable for distinguishing between malignancy and various inflammatory findings.
EUROPEAN RADIOLOGY
(2023)
Article
Veterinary Sciences
Dohee Lee, Taesik Yun, Yoonhoi Koo, Yeon Chae, Dongwoo Chang, Mhan-Pyo Yang, Byeong-Teck Kang, Hakhyun Kim
Summary: This is the first case report of using 18F-FDG PET/CT to diagnose suspected adrenal cortical carcinoma in a dog, providing valuable information for its diagnosis.
BMC VETERINARY RESEARCH
(2022)
Article
Computer Science, Artificial Intelligence
Mathieu Hatt, Baptiste Laurent, Anouar Ouahabi, Hadi Fayad, Shan Tan, Laquan Li, Wei Lu, Vincent Jaouen, Clovis Tauber, Jakub Czakon, Filip Drapejkowski, Witold Dyrka, Sorina Camarasu-Pop, Frederic Cervenansky, Pascal Girard, Tristan Glatard, Michael Kain, Yao Yao, Christian Barillot, Assen Kirov, Dimitris Visvikis
MEDICAL IMAGE ANALYSIS
(2018)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jingjing Zhang, Svetlana Markova, Alejandro Garcia, Kirk Huang, Xingyu Nie, Wookjin Choi, Wei Lu, Abraham Wu, Andreas Rimner, Guang Li
JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS
(2018)
Article
Computer Science, Artificial Intelligence
Laquan Li, Xiangming Zhao, Wei Lu, Shan Tan
Article
Oncology
Jiahui Wang, Hao Zhang, Michael Chuong, Kujtim Latifi, Shan Tan, Wookjin Choi, Sarah Hoffe, Ravi Shridhar, Wei Lu
FRONTIERS IN ONCOLOGY
(2019)
Article
Radiology, Nuclear Medicine & Medical Imaging
Noemi Garau, Chiara Paganelli, Paul Summers, Wookjin Choi, Sadegh Alam, Wei Lu, Cristiana Fanciullo, Massimo Bellomi, Guido Baroni, Cristiano Rampinelli
Article
Engineering, Biomedical
Chuang Wang, Sadegh Alam, Siyuan Zhang, Yu-Chi Hu, Saad Nadeem, Neelam Tyagi, Andreas Rimner, Wei Lu, Maria Thor, Pengpeng Zhang
PHYSICS IN MEDICINE AND BIOLOGY
(2020)
Article
Oncology
Sadegh R. Alam, Pengpeng Zhang, Si-Yuan Zhang, Ishita Chen, Andreas Rimner, Neelam Tyagi, Yu-Chi Hu, Wei Lu, Ellen D. Yorke, Joseph O. Deasy, Maria Thor
Summary: A predictive model for acute esophagitis (AE) in locally advanced non-small cell lung cancer (LA-NSCLC) patients undergoing radiation therapy was developed based on esophagus dose and volumetric changes. The model showed improved prediction accuracy compared to traditional models and could potentially inform early plan adaptation to reduce the risk of esophagitis.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Chuan Zeng, Xiang Li, Wei Lu, Marsha Reyngold, Richard M. Gewanter, John J. Cuaron, Ellen Yorke, Tianfang Li
Summary: The accuracy and efficiency of respiratory gating (RG) and deep inspiration breath hold (DIBH) were found to be comparable for pancreas treatment in this study, indicating that RG can be a feasible alternative strategy to DIBH.
JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS
(2021)
Article
Computer Science, Interdisciplinary Applications
Wookjin Choi, Saad Nadeem, Sadegh R. Alam, Joseph O. Deasy, Allen Tannenbaum, Wei Lu
Summary: Spiculations on lung nodules, quantified using area distortion metric and spiculation measures, are important predictors of lung cancer malignancy. The study developed an interpretable and parameter-free technique for quantifying spiculations, achieving higher performance in pathological malignancy prediction compared to previous models.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2021)
Article
Genetics & Heredity
Seungjae Lee, Lu Wei, Binglong Zhang, Raeann Goering, Sonali Majumdar, Jiayu Wen, J. Matthew Taliaferro, Eric C. Lai
Summary: ELAV/Hu factors, a conserved family of RNA binding proteins, orchestrate multiple broad programs of neuronal mRNA processing and isoform diversification in both Drosophila and mammalian neurons. Their impacts on splicing, particularly in relation to 3' UTR extensions, play vital roles in regulating neural mRNA processing events.
Article
Oncology
Sadegh Alam, Maria Thor, Andreas Rimner, Neelam Tyagi, Si-Yuan Zhang, Li Cheng Kuo, Saad Nadeem, Wei Lu, Yu-Chi Hu, Ellen Yorke, Pengpeng Zhang
PHYSICS & IMAGING IN RADIATION ONCOLOGY
(2020)
Proceedings Paper
Computer Science, Artificial Intelligence
Sadegh Riyahi, Wookjin Choi, Chia-Ju Liu, Saad Nadeem, Shan Tan, Hualiang Zhong, Wengen Chen, Abraham J. Wu, James G. Mechalakos, Joseph O. Deasy, Wei Lu
DATA DRIVEN TREATMENT RESPONSE ASSESSMENT AND PRETERM, PERINATAL, AND PAEDIATRIC IMAGE ANALYSIS
(2018)
Article
Engineering, Biomedical
Sadegh Riyahi, Wookjin Choi, Chia-Ju Liu, Hualiang Zhong, Abraham J. Wu, James G. Mechalakos, Wei Lu
PHYSICS IN MEDICINE AND BIOLOGY
(2018)
Article
Engineering, Biomedical
Hoda Sharifi, Hong Zhang, Hassan Bagher-Ebadian, Wei Lu, Munther I. Ajlouni, Jian-Yue Jin, Feng-Ming (Spring) Kong, Indrin J. Chetty, Hualiang Zhong
PHYSICS IN MEDICINE AND BIOLOGY
(2018)
Article
Engineering, Biomedical
Xiangming Zhao, Laquan Li, Wei Lu, Shan Tan
PHYSICS IN MEDICINE AND BIOLOGY
(2019)
