Article
Chemistry, Multidisciplinary
Hanrui Liu, Ran Sun, Lei Wang, Xiaoyong Chen, Galong Li, Yu Cheng, Gaohong Zhai, Boon-Huat Bay, Fang Yang, Ning Gu, Yingkun Guo, Haiming Fan
Summary: This article describes an advanced magnetothermal approach for efficient labeling of stem cells and tracking them using magnetic resonance imaging (MRI) for targeted therapy. The research found that this method has superior labeling efficiency and long-term tracking capability, and can enable magnetic manipulation in vivo. A proof-of-concept study in a rat stroke model demonstrated the great potential of this method for future clinical usage.
Article
Chemistry, Multidisciplinary
Jeff W. M. Bulte, Chao Wang, Ali Shakeri-Zadeh
Summary: Superparamagnetic iron oxide (SPIO)-labeling of cells for magnetic resonance imaging (MRI) cell tracking has a long history, but studies have shown that the labeled cells may have different behaviors compared to unlabeled cells. With the emergence of magnetic particle imaging (MPI) cell tracking, there has been a renaissance in the formulation of SPIO nanoparticles optimized for MPI. Lessons learned from past experiences with SPIO-labeling for MRI could potentially facilitate the clinical translation of (combined) MRI/MPI cell tracking.
ADVANCED FUNCTIONAL MATERIALS
(2022)
Article
Biochemistry & Molecular Biology
Tianqi Liu, Zhenlin Li, Xiaodong Li, Ruiting Zhao, Xinhua Wei, Zixin Wang, Sherman Xuegang Xin
Summary: Exosomes play a significant role in promoting tumor progression, and magnetic resonance imaging (MRI) is an ideal technique to visualize their dynamics. A novel self-label method was proposed for imaging labeled exosomes of tumor cells in vivo through MRI.
BIOCHIMICA ET BIOPHYSICA ACTA-GENERAL SUBJECTS
(2022)
Article
Cell & Tissue Engineering
Jeong Pyo Son, Eun Hee Kim, Eun Kyoung Shin, Dong Hee Kim, Ji Hee Sung, Mi Jeong Oh, Jae Min Cha, Michael Chopp, Oh Young Bang
Summary: This study aimed to test the feasibility of producing MSC-derived extracellular vesicles (EVs) with customized therapeutic properties using a scalable 3D-bioprocessing method and evaluate their effects on neuroplasticity in stroke animal models using MRI. The results showed that EVs obtained from the 3D platform were more consistent in terms of production and reproduction compared to traditional 2D culture. Additionally, EVs induced neurogenesis and neuritogenesis through the actions of specific microRNAs and improved functional recovery and reduced infarct volume in stroke models. Furthermore, the EV group demonstrated better anatomical and functional connectivity on diffusion tensor imaging and resting-state functional MRI.
STEM CELLS TRANSLATIONAL MEDICINE
(2023)
Article
Chemistry, Multidisciplinary
Bingling Lin, Liejing Lu, Yong Wang, Qinyuan Zhang, Zhe Wang, Guanxun Cheng, Xiaohui Duan, Fang Zhang, Mingwei Xie, Hongbo Le, Xintao Shuai, Jun Shen
Summary: A theranostic nanomedicine has been developed to co-deliver super-paramagnetic iron oxide nanoparticles (SPIO) and small interfering RNA/antisense oligonucleotides (siRNA/ASO) targeting Pnky long noncoding RNA (lncRNA) into neural stem cells (NSCs). This nanomedicine promotes neuronal differentiation of NSCs by silencing the Pnky lncRNA, while also enabling in vivo tracking of NSCs with improved magnetic resonance imaging. The enhanced neuronal differentiation of NSCs leads to structural and functional recovery of the damaged brain after a stroke, demonstrating potential for enhancing stem cell-based therapies for stroke.
Article
Chemistry, Multidisciplinary
Lu Liu, Juanyan Wu, Shuanghu Wang, Liu Kun, Junbin Gao, Bin Chen, Yicheng Ye, Fei Wang, Fei Tong, Jiamiao Jiang, Juanfeng Ou, Daniela A. Wilson, Yingfeng Tu, Fei Peng
Summary: The study presents a minimally invasive micromotor platform for precise navigation and targeting of neural stem cells, which can be directed to differentiate into specific neuron types by tuning ultrasound intensity. This platform has the potential to serve as a controllable wireless tool for bioelectronics and neuronal regenerative therapy.
Article
Clinical Neurology
Paul Steffen, Lara-Sophie Beyer, Rosalie McDonough, Christian Thaler, Tobias Faizy, Jens Fiehler, Joystone Gbadamosi, Christian R. Habermann, Michael H. Schoenfeld
Summary: The study evaluated the benefit of coronal DWI in detecting brain stem infarctions, showing that combined coronal and axial DWI can improve detection rates with minimal increase in scan times.
Article
Multidisciplinary Sciences
Louise Kiru, Aimen Zlitni, Aidan Michael Tousley, Guillermo Nicolas Dalton, Wei Wu, Famyrah Lafortune, Anna Liu, Kristen May Cunanan, Hossein Nejadnik, Todd Sulchek, Michael Eugene Moseley, Robbie G. Majzner, Heike Elisabeth Daldrup-Link
Summary: The study introduces a new approach to label CAR T cells with iron oxide nanoparticles, enabling noninvasive detection of the CAR T cells in solid tumors. The results show that labeled CAR T cells could locate to osteosarcomas and off-target sites, while unlabeled cells were not visible. This study provides a new method for monitoring the location of CAR T cells in solid tumors.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Environmental Sciences
Kai Wang, Huanxuan Guo, Xiaoyan Tian, Yanping Miao, Ping Han, Feng Jin
Summary: The efficacy of three-dimensional arterial spin labeling (3D-ASL) imaging in preoperative grading of brain gliomas was evaluated, and the discrepancy between 3D-ASL and contrast enhanced magnetic resonance imaging (CE-MRI) in grading gliomas was compared. The study found that 3D-ASL imaging is significant in preoperative grading of brain gliomas and may be more sensitive than CE-MRI in detection of tumor perfusion.
ENVIRONMENTAL TOXICOLOGY
(2023)
Article
Multidisciplinary Sciences
Xiaoyu Wei, Sulei Fu, Hanbo Li, Yang Liu, Shuai Wang, Weimin Feng, Yunzhi Yang, Xiawei Liu, Yan-Yun Zeng, Mengnan Cheng, Yiwei Lai, Xiaojie Qiu, Liang Wu, Nannan Zhang, Yujia Jiang, Jiangshan Xu, Xiaoshan Su, Cheng Peng, Lei Han, Wilson Pak-Kin Lou, Chuanyu Liu, Yue Yuan, Kailong Ma, Tao Yang, Xiangyu Pan, Shang Gao, Ao Chen, Miguel A. Esteban, Huanming Yang, Jian Wang, Guangyi Fan, Longqi Liu, Liang Chen, Xun Xu, Ji-Feng Fei, Ying Gu
Summary: This study used Stereo-seq technology to analyze spatial distribution and molecular features of axolotl brain during development and regeneration. The researchers identified an injury-induced ependymoglial cell cluster as a potential progenitor cell population for replenishing lost neurons. They also discovered regressed neurons and provided evidence for the involvement of resident ependymoglial cells in neurogenesis.
Article
Engineering, Biomedical
Zhe Wang, Yujun Cai, Qinyuan Zhang, Jianing Li, Bingling Lin, Junya Zhao, Fang Zhang, Yunhua Li, Xieqing Yang, Liejing Lu, Xintao Shuai, Jun Shen
Summary: A nanomedicine has been developed to enhance the therapeutic effect of neural stem cell transplantation for stroke treatment and enable in vivo tracking of the transplanted stem cells using magnetic resonance imaging.
ADVANCED HEALTHCARE MATERIALS
(2022)
Article
Engineering, Biomedical
Yimeng Shu, Ming Ma, Xiaoxia Pan, Muhammad Shafiq, Huizhu Yu, Hangrong Chen
Summary: A multifunctional nano-self-assembly was developed in this study by combining gold nanoparticles, superparamagnetic iron oxide nanoparticles, and cobalt protoporphyrin IX. This nanoassembly can effectively label mesenchymal stem cells and has potential for high-efficient therapy for pulmonary fibrosis.
BIOACTIVE MATERIALS
(2023)
Article
Environmental Sciences
Long Zhang, Haonan Liu, Qi Xin, Lijuan Tang, Jie Tang, Yin Liu, Le Hu
Summary: This study proposes a strategy to quantify nanoplastics (NPs) internalized by mouse macrophages using magnetic resonance imaging (MRI). Model NPs (Fe3O4@PS) were obtained by encapsulating Fe3O4 in polystyrene. A standard curve was generated by fitting the MRI data and the mass of NPs captured by mouse macrophages was estimated. The accuracy of the MRI results was validated using inductively coupled plasma (ICP), showing an uptake rate of 57.7% in mouse macrophages at a concentration of 10 μg/mL.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Chemistry, Multidisciplinary
Jing Li, Yao Zhang, Zhichao Lou, Mingxi Li, Lin Cui, Zhenrong Yang, Lijuan Zhang, Yu Zhang, Ning Gu, Fang Yang
Summary: Magnetic nanobubbles can modulate the differentiation of neural stem cells through the activation of mechanosensory channels and biochemical signaling pathways, potentially improving their clinical applications.
Article
Developmental Biology
Angie Molina, Frederic Bonnet, Julie Pignolet, Valerie Lobjois, Sophie Bel-Vialar, Jacques Gautrais, Fabienne Pituello, Eric Agius
Summary: Although the lengthening of cell cycle and G1 phase is a common phenomenon during tissue maturation, the underlying mechanism is still unclear. This study developed a time-lapse imaging strategy to measure the four cell cycle phases in single chick neural progenitor cells, and found that neural progenitors exhibit wide heterogeneity in cell cycle length. The study also identified a mechanism that contributes to the lengthening of G1 phase.
Article
Oncology
Chunping Mao, Wei Jiang, Jiayi Huang, Mengzhu Wang, Xu Yan, Zehong Yang, Dongye Wang, Xiang Zhang, Jun Shen
Summary: DSI quantitative parameters showed differences between HER2-positive and HER2-negative breast cancer patients, with NODDI_ICVF potentially being an independent predictor of HER2 status. However, DSI alone may not be sufficient for preoperative prediction of HER2 status in patients with breast cancer.
FRONTIERS IN ONCOLOGY
(2022)
Article
Chemistry, Multidisciplinary
Lu Xu, Qinyuan Zhang, Liejing Lu, Yi Shi, Lixin Liu, Jun Shen, Yongming Chen
Summary: Magnetic resonance (MR) imaging is crucial for noninvasive lymphography. However, current MR contrast agents lack sufficient tissue contrast and long observation window. By using one-dimensional unimolecular nanoparticles as nanoparticulate chelates, a significant improvement in contrast agent performance has been achieved, leading to high relaxivity and excellent contrast enhancement.
Article
Biology
Chang Gong, Ziliang Cheng, Yaping Yang, Jun Shen, Yingying Zhu, Li Ling, Wanyi Lin, Zhigang Yu, Zhihua Li, Weige Tan, Chushan Zheng, Wenbo Zheng, Jiajie Zhong, Xiang Zhang, Yunjie Zeng, Qiang Liu, R. Stephanie Huang, Andrzej L. Komorowski, Eddy S. Yang, Francois Bertucci, Francesco Ricci, Armando Orlandi, Gianluca Franceschini, Kazuaki Takabe, Suzanne Klimberg, Naohiro Ishii, Angela Toss, Mona P. Tan, Mathew A. Cherian, Erwei Song
Summary: This study developed a model based on a 10-microRNA risk score that accurately predicts the pathological complete response to neoadjuvant chemotherapy in patients with hormone receptor-positive breast cancer. The model was also validated to be associated with disease-free survival.
SCIENCE CHINA-LIFE SCIENCES
(2022)
Article
Chemistry, Physical
Xiuqi Hou, Xi Yang, Yanwen Xu, Jiayin Lin, Fang Zhang, Xiaohui Duan, Sitong Liu, Jie Liu, Jun Shen, Xintao Shuai, Zhong Cao
Summary: This study developed a theranostic nanodrug that combines MRI and cancer therapy, which released specific drugs and metal ions in the tumor microenvironment and achieved high sensitivity MRI monitoring and gas therapy, while synergistically targeting tumor-promoting macrophages.
Article
Radiology, Nuclear Medicine & Medical Imaging
Taihui Yu, Zhaoxi Cai, Zehong Yang, Wenhao Lin, Yun Su, Jixin Li, Shuanglun Xie, Jun Shen
Summary: This study aimed to determine the added value of myocardial fibrosis parameters derived from cardiac magnetic resonance imaging (MRI) in the risk stratification of hypertrophic cardiomyopathy (HCM) patients. The results showed that the global extracellular volume fraction (ECV) was an effective predictor of sudden cardiac death (SCD) risk and outperformed other cardiac MRI features and the HCM Risk-SCD score. The integration of global ECV and HCM Risk-SCD score yielded a more accurate prediction model for SCD risk stratification in HCM patients.
ACADEMIC RADIOLOGY
(2023)
Article
Neurosciences
Zhuozhi Dai, Zhiqi Yang, Xiaofeng Chen, Wenbin Zheng, Zerui Zhuang, Yuting Liao, Mu Li, Shaoxian Chen, Daiying Lin, Xianheng Wu, Jun Shen
Summary: This study aimed to investigate the aging of the glymphatic system in healthy adults and its correlation with brain charts and neuropsychological functioning. Two independent brain MRI datasets were analyzed, and the function of the glymphatic system was quantified. The results showed that the aging of the glymphatic system exists in healthy adults but is not correlated with changes in brain charts and neuropsychological functioning.
Review
Computer Science, Artificial Intelligence
Chenji Zhao, Shun Xiang, Yuanquan Wang, Zhaoxi Cai, Jun Shen, Shoujun Zhou, Di Zhao, Weihua Su, Shijie Guo, Shuo Li
Summary: This paper proposes a context-aware network (CA-Net) for semi-supervised left atrium (LA) segmentation from 3D MRI. Experimental results show that contextual information is helpful in extracting accurate atrial structures, and CA-Net achieves better performance than some state-of-the-art semi-supervised networks.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Zhaoxi Cai, Taihui Yu, Zehong Yang, Huijun Hu, Yongqing Lin, Haifeng Zhang, Meiwei Chen, Guangzi Shi, Jun Shen
Summary: This study aimed to determine the optimal site for measuring FFRCT to detect lesion-specific ischemia in patients with coronary artery disease (CAD). The results showed that measuring FFRCT at 2 cm distal to the target lesion had the highest diagnostic ability for detecting lesion-specific ischemia compared to invasive coronary angiography.
BMC MEDICAL IMAGING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Guangzhou Du, Minghui Cao, Zhihui Hou, Zhaoxi Cai, Taihui Yu, Haisheng Zheng, Zhuozhi Dai, Zehong Yang, Jun Shen, Daiying Lin
Summary: This study evaluated the role of quantitative plaque analysis based on coronary computed tomography angiography (CCTA) in predicting the outcome of percutaneous coronary intervention (PCI) for chronic total occlusion (CTO). The results showed that the morphology of the blunt stump and plaque characteristics (noncalcified plaque volume, calcified plaque volume, and plaque length) were predictive of CTO-PCI outcomes. The plaque-based model outperformed the morphology-based model in predicting the outcomes of CTO-PCI.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2023)
Article
Nanoscience & Nanotechnology
Ya-Ping Wang, Xiao-Hui Duan, Yin-Hui Huang, Ya-Jun Hou, Kai Wu, Fang Zhang, Mei Pan, Jun Shen, Cheng-Yong Su
Summary: In this study, a discrete Os-based metal-organic nanocage was designed as a versatile theranostic nanoplatform for multipurpose diagnosis and treatment. The nanocage exhibits various functions, including synergistic treatments for breast cancer, NIR imaging and anticancer drug transport. The micellization of the nanocage enables efficient subcellular endocytosis and uptake. Promising antitumor performance was demonstrated both in vitro and in vivo, offering a conceptual protocol for collaborative cancer theranostics on a single-nanomaterial platform.
ACS APPLIED MATERIALS & INTERFACES
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Zhenwei Shi, Xiaomei Huang, Ziliang Cheng, Zeyan Xu, Huan Lin, Chen Liu, Xiaobo Chen, Chunling Liu, Changhong Liang, Cheng Lu, Yanfen Cui, Chu Han, Jinrong Qu, Jun Shen, Zaiyi Liu
Summary: A quantitative measure of intratumoral heterogeneity (ITH) on pretreatment MRI scans, combined with conventional radiomics features and clinicopathologic variables, shows good performance in predicting pathologic complete response (pCR) after neoadjuvant chemotherapy (NAC) in patients with breast cancer.
Article
Radiology, Nuclear Medicine & Medical Imaging
Yanbo Chen, Yong Li, Wenzhou Liu, Zhihui Wang, Jiajie Li, Chen Chen, Gang Zeng, Jun Shen, Weidong Song
Summary: This study shows that using the surface microscopy coil (SMC) for preoperative assessment improves the accuracy of measurement of osteochondral lesions of the talus (OLTs) compared with conventional coil MRI. The traditional MRI has low reliability and tends to overestimate or underestimate the size of the lesions. The SMC provides more accurate diameter measurements and has a higher concordance rate with surgical assessment compared to ASC MRI.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2023)
Article
Materials Science, Multidisciplinary
Yuxun Ding, Xiaohui Xiao, Lu Bai, Bowen Yang, Guanghui Lin, Lingli Zeng, Lisi Xie, Lei Li, Xiaohui Duan, Jun Shen, Jianhua Zhou, Yue Pan
Summary: This paper describes a novel multifunctional superparamagnetic iron oxide nanoparticle (SPION)@polymer hybrid nanosensitizer (SPHN) with enhanced radiosensitization and dual-targeting capability. These unique structures endow SPHN with outstanding radiosensitization and tumor targeting abilities. Through a combination of radiation and chemotherapy, this nanotechnology can achieve remarkable inhibition of tumor growth in vivo.
NPG ASIA MATERIALS
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Chunping Mao, Lanxin Hu, Wei Jiang, Ya Qiu, Zehong Yang, Yeqing Liu, Mengzhu Wang, Dongye Wang, Yun Su, Jinru Lin, Xu Yan, Zhaoxi Cai, Xiang Zhang, Jun Shen
Summary: The objective of this study was to evaluate the value of conventional DWI, CTRW, FROC, and SEM in discriminating HER2 status in breast cancer. The study found that α(CTRW) was the best discriminative metric, which could help differentiate HER2-low-expressing and HER2-overexpressing breast cancers.
EUROPEAN RADIOLOGY
(2023)
Article
Chemistry, Physical
Xiuqi Hou, Xi Yang, Yanwen Xu, Jiayin Lin, Fang Zhang, Xiaohui Duan, Sitong Liu, Jie Liu, Jun Shen, Xintao Shuai, Zhong Cao
Summary: A multifunctional nanodrug combining MRI imaging and cancer therapy has been developed, which can release drugs and achieve sensitive MRI imaging in tumor microenvironment, as well as achieve synergistic antitumor effects through immune activation and gas therapy.
Article
Radiology, Nuclear Medicine & Medical Imaging
Hila Tal Tamir, Dana Stav, Yitzhac Hadad, Rivka Kessner
Summary: This study aimed to characterize thyroid nodules seen on Spectral Detector computed tomography (SDCT) and compare them with their Thyroid Imaging Reporting and Data System (TI-RADS) category on Ultrasound (US). The results showed that the spectral results of SDCT can assist in differentiating thyroid nodules of different risk levels.
EUROPEAN JOURNAL OF RADIOLOGY
(2024)
Article
Radiology, Nuclear Medicine & Medical Imaging
Volha Nizhnikava, Ursula Reiter, Gabor Kovacs, Clemens Reiter, Corina Kraeuter, Horst Olschewski, Michael Fuchsjaeger, Gert Reiter
Summary: The purpose of this study was to investigate the associations between cardiac magnetic resonance feature-tracking-derived myocardial strain parameters and volumetric function and hemodynamic parameters in patients with pulmonary hypertension. The results showed that impairment of myocardial strains was more strongly associated with alterations in ventricular function parameters than elevated pulmonary arterial pressure, limiting the diagnostic information of myocardial strain parameters in pulmonary hypertension.
EUROPEAN JOURNAL OF RADIOLOGY
(2024)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yu-ling Qian, Rui-lin Quan, Xiao-xi Chen, Yang-yi Lin, Xiao-li Jing, Qing Gu, Chang-ming Xiong, Jian-guo He, Ai-hua Zhi
Summary: The purpose of this study was to investigate the imaging characteristics and prognostic factors for the long-term survival of Behcet's disease (BD) with arterial involvement. The results showed that arterial lesions associated with BD usually involve multiple arteries and manifest differently in different types of arteries. Cardiac involvement and pulmonary artery aneurysm/dilation were independent prognostic factors for the survival of BD patients with arterial involvement.
EUROPEAN JOURNAL OF RADIOLOGY
(2024)
Letter
Radiology, Nuclear Medicine & Medical Imaging
Yong Xie, Jian Wang, Yinghua Zou
EUROPEAN JOURNAL OF RADIOLOGY
(2024)
Article
Radiology, Nuclear Medicine & Medical Imaging
Daria Kifjak, Maximilian Hochmair, Daniel Sobotka, Alexander R. Haug, Raphael Ambros, Florian Prayer, Benedikt H. Heidinger, Sebastian Roehrich, Ruxandra-Iulia Milos, Wolfgang Wadsak, Thorsten Fuereder, Dagmar Krenbek, Andreas Fazekas, Michael Meilinger, Marius E. Mayerhoefer, Georg Langs, Christian Herold, Helmut Prosch, Lucian Beer
Summary: The ability of pretreatment PET parameters and peripheral blood biomarkers to predict PFS and OS in NSCLC patients treated with ICIT was assessed. The study found that MTV and the number of SOI were independent risk factors for progression and overall survival, and the combination of these factors improved risk stratification.
EUROPEAN JOURNAL OF RADIOLOGY
(2024)
Article
Radiology, Nuclear Medicine & Medical Imaging
Theresa Sophie Patzer, Jan-Peter Grunz, Henner Huflage, Jan-Lucca Hennes, Pauline Pannenbecker, Philipp Gruschwitz, Saif Afat, Judith Herrmann, Thorsten Alexander Bley, Andreas Steven Kunz
Summary: This study investigated the potential of tin prefiltration and virtual monoenergetic imaging (VMI) in suppressing metal artifacts in high-resolution CT images of the lower extremities. The results showed that VMI reconstructions had better artifact reduction compared to T3D. VMI110keV had the least image noise. In terms of image quality, interpretability of bone-metal interface, and overall image quality, VMI110keV performed the best.
EUROPEAN JOURNAL OF RADIOLOGY
(2024)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yue Li, Huan Zhang, Lei Yue, Caixia Fu, Robert Grimm, Wenhua Li, Weijian Guo, Tong Tong
Summary: This study evaluated and compared the diagnostic value of diffusion-related texture analysis parameters from different magnetic resonance diffusion models in predicting the clinical response to chemotherapy in patients with colorectal liver metastases. Among the models, DKI-derived parameters showed the best performance for early prediction, followed by IVIM-derived parameters and DWI baseline features.
EUROPEAN JOURNAL OF RADIOLOGY
(2024)
Article
Radiology, Nuclear Medicine & Medical Imaging
Lu Wang, ShiXiong Zhang, Jun Xin
Summary: This study aimed to determine if sex differences in abdominal visceral fat composition and metabolism can help predict the prognosis of DLBCL patients. The results showed that females with certain fat composition and metabolism characteristics had worse progression-free survival, while no significant differences were found in males with DLBCL.
EUROPEAN JOURNAL OF RADIOLOGY
(2024)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yu-ping Wu, Lan Wu, Jing Ou, Jin-ming Cao, Mao-yong Fu, Tian-wu Chen, Erika Ouchi, Jiani Hu
Summary: This study aimed to develop CT radiomics models to preoperatively identify lymph node (LN) status in resectable esophageal squamous cell carcinoma (ESCC) patients. The results showed that the combined model, integrating ESCC and LN radiomics features with clinical features, had the highest predictive ability among the three models. The combined model's predictive ability was validated in both the test and external validation cohorts.
EUROPEAN JOURNAL OF RADIOLOGY
(2024)
