Article
Radiology, Nuclear Medicine & Medical Imaging
Xiaoyu Han, Yanqing Fan, Osamah Alwalid, Na Li, Xi Jia, Mei Yuan, Yumin Li, Yukun Cao, Jin Gu, Hanping Wu, Heshui Shi
Summary: The study found that over one-third of severe COVID-19 patients showed fibrotic-like changes in the lung at 6-month follow-up CT, which were associated with older age, acute respiratory distress syndrome, longer hospital stays, tachycardia, noninvasive mechanical ventilation, and higher initial chest CT score.
Article
Radiology, Nuclear Medicine & Medical Imaging
Damiano Caruso, Gisella Guido, Marta Zerunian, Tiziano Polidori, Elena Lucertini, Francesco Pucciarelli, Michela Polici, Carlotta Rucci, Benedetta Bracci, Matteo Nicolai, Antonio Cremona, Chiara De Dominicis, Andrea Laghi
Summary: At the 6-month follow-up chest CT, 72% of patients with COVID-19 showed late sequelae, particularly fibrosis-like changes. The baseline Lung Severity Score and well-aerated lung volume at quantitative chest CT analysis performed well in predicting fibrosis-like changes after 6 months. Male sex, cough, lymphocytosis, and well-aerated lung volume at QCCT analysis were significant predictors of fibrosis-like changes at 6 months, showing an inverse correlation.
Article
Computer Science, Software Engineering
Shreeraj Jadhav, Gaofeng Deng, Marlene Zawin, Arie E. Kaufman
Summary: Significant progress has been made in the development of deep learning models for automatic lung and lesion segmentation and classification of COVID-19 on chest CT data. However, there is currently a lack of comprehensive visualization systems that support the dual visual and deep learning diagnosis of COVID-19. In this study, the authors present COVID-view, a visualization application designed specifically for radiologists to diagnose COVID-19 from chest CT data. The system incorporates a complete pipeline of automatic lung segmentation, abnormality localization, visualization, and deep learning analysis, providing radiologists with a more comprehensive diagnostic tool.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Marialuisa Bocchino, Roberta Lieto, Federica Romano, Giacomo Sica, Giorgio Bocchini, Emanuele Muto, Ludovica Capitelli, Davide Sequino, Tullio Valente, Giuseppe Fiorentino, Gaetano Rea
Summary: This study aimed to illustrate the temporal change of lung abnormalities associated with COVID-19 pneumonia on chest CT scans over 1 year. The study found that residual lung abnormalities in individuals hospitalized with moderate COVID-19 pneumonia were infrequent, with no evidence of fibrosis at 1-year chest CT.
Article
Radiology, Nuclear Medicine & Medical Imaging
Anna K. Luger, Thomas Sonnweber, Leonhard Gruber, Christoph Schwabl, Katharina Cima, Piotr Tymoszuk, Anna K. Gerstner, Alex Pizzini, Sabina Sahanic, Anna Boehm, Maximilian Coen, Carola J. Strolz, Ewald Woell, Gunter Weiss, Rudolf Kirchmair, Gudrun M. Feuchtner, Helmut Prosch, Ivan Tancevski, Judith Loeffler-Ragg, Gerlig Widmann
Summary: This study aimed to evaluate the improvement of chest CT abnormalities 1 year after COVID-19 pneumonia. The study found that more than half of the participants still had CT abnormalities after 1 year, and age over 60, severe COVID-19 symptoms, and male sex were associated with persistent CT abnormalities at 1-year follow-up. During the follow-up period, about half of the participants had complete resolution of CT abnormalities, but some participants with abnormalities showed no further improvement after 6 months.
Article
Radiology, Nuclear Medicine & Medical Imaging
Chun-Shuang Guan, Zhi-Bin Lv, Jing-Jing Li, Yan-Ni Du, Hui Chen, Tao Cui, Ning Guo, Bu-Dong Chen, Ru-Ming Xie
Summary: COVID-19 exhibited different appearances on CT as it progressed; the peak pattern was the most common progression pattern; CT appearances were closely related to the intervals; COVID-19 pneumonia can remain or be completely absorbed on CT with follow-up.
INSIGHTS INTO IMAGING
(2021)
Review
Radiology, Nuclear Medicine & Medical Imaging
Marialuisa Bocchino, Gaetano Rea, Ludovica Capitelli, Roberta Lieto, Dario Bruzzese
Summary: A systematic review and meta-analysis of 1-year follow-up chest CT scans in post-COVID-19 patients revealed highly heterogeneous prevalence of lung sequelae, with unknown determinants of heterogeneity. Caution should be exercised in interpreting the data.
Article
Multidisciplinary Sciences
Xi Jia, Xiaoyu Han, Yukun Cao, Yanqing Fan, Mei Yuan, Yumin Li, Jin Gu, Yuting Zheng, Li Wang, Yali Qu, Heshui Shi
Summary: In this study, pulmonary sequelae in COVID-19 survivors were evaluated using quantitative inspiratory-expiratory chest CT (QCT) and abnormal pulmonary diffusion risk factors were explored at the 6-month follow-up. The findings revealed that 29% of survivors showed air trapping in the follow-up QCT. The semiquantitative CT score and QCT parameter of air trapping were significantly higher in group 1 compared to group 2. Furthermore, decreased DLCO was negatively correlated with the follow-up CT score for ground-glass opacity, reticulation, air trapping, and relative lung volume changes.
SCIENTIFIC REPORTS
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Guillaume Herpe, Mathieu Lederlin, Mathieu Naudin, Mickael Ohana, Kathia Chaumoitre, Jules Gregory, Valerie Vilgrain, Cornelia Anna Freitag, Constance De Margerie-Mellon, Violaine Flory, Marie Ludwig, Lydiane Mondot, Isabelle Fitton, Alexis Raymond Robert Jacquier, Paul Ardilouze, Isabelle Petit, Alban Gervaise, Olivier Bayle, Arielle Crombe, Magloire Mekuko Sokeng, Clement Thomas, Geraldine Henry, Virginie Bliah, Thomas Le Tat, Marc-Samir Guillot, Paul Gendrin, Marc Garetier, Estelle Bertolle, Catherine Montagne, Benjamin Langlet, Abdulrazak Kalaaji, Hampar Kayayan, Florian Desmots, Benjamin Dhaene, Pierre-Jean Saulnier, Remy Guillevin, Jean-Michel Bartoli, Jean-Paul Beregi, Jean Pierre Tasu
Summary: The French national experience using chest CT for COVID-19 was evaluated by comparing results with RT-PCR assays and final discharge diagnosis. Chest CT showed high sensitivity, specificity, negative predictive value, and positive predictive value in diagnosing COVID-19. The use of chest CT for initial diagnosis and triage of COVID-19 patients was successful, regardless of varying disease prevalence in different geographic areas.
Article
Radiology, Nuclear Medicine & Medical Imaging
Martina Pecoraro, Stefano Cipollari, Livia Marchitelli, Emanuele Messina, Maurizio Del Monte, Nicola Galea, Maria Rosa Ciardi, Marco Francone, Carlo Catalano, Valeria Panebianco
Summary: The study found good agreement between chest MRI and CT, with MRI being highly sensitive for ground-glass opacities, consolidation, and interlobular septal thickening. MRI also showed high specificity for most findings. DWI could serve as a reliable imaging biomarker of inflammatory activity.
Article
Medicine, General & Internal
Mengqi Liu, Fajin Lv, Yang Huang, Kaihu Xiao
Summary: Most COVID-19 patients can absorb chest CT lesions without sequelae, but older patients with severe conditions are more likely to develop fibrosis, potentially leading to cardiopulmonary insufficiency. The combined clinical-radiological model may help predict the early formation of pulmonary fibrosis.
FRONTIERS IN MEDICINE
(2021)
Article
Clinical Neurology
Sihong Huang, Zhiguo Zhou, Danhui Yang, Wei Zhao, Mu Zeng, Xingzhi Xie, Yanyao Du, Yingjia Jiang, Xianglin Zhou, Wenhan Yang, Hu Guo, Hui Sun, Ping Liu, Jiyang Liu, Hong Luo, Jun Liu
Summary: The study revealed persistent white matter changes in recovered COVID-19 patients at 1-year follow-up, with slightly more abnormalities seen in patients who were admitted to the ICU. The duration of hospital stay may be a predictor for white matter changes at the 1-year follow-up.
Article
Computer Science, Artificial Intelligence
Xujing Yao, Ziquan Zhu, Cheng Kang, Shui-Hua Wang, Juan Manuel Gorriz, Yu-Dong Zhang
Summary: This article introduces a computer-aided diagnosis system based on deep learning that automatically classifies chest CT scans into COVID-19, tuberculosis, and healthy control subjects. The system uses a novel classification model called AdaD-FNN, which sequentially transfers trained knowledge and updates sample weights to improve learning of complex patterns. Additionally, a novel image preprocessing model called F-U2MNet-C is used to enhance image features and eliminate interference factors. Experimental results show that the system achieves high classification accuracies for COVID-19 detection and outperforms 22 state-of-the-art methods.
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE
(2023)
Article
Chemistry, Analytical
Paulo Lacerda, Bruno Barros, Celio Albuquerque, Aura Conci
Summary: This study investigated the use of the Hyperband optimization algorithm in optimizing a CNN for the diagnosis of COVID-19. The optimized CNN achieved a high sensitivity, precision, and accuracy, outperforming other testing methods and human expert diagnosis accuracy.
Article
Medicine, General & Internal
Yanfei Chen, Cheng Ding, Ling Yu, Wanru Guo, Xuewen Feng, Liang Yu, Junwei Su, Ting Xu, Cheng Ren, Ding Shi, Wenrui Wu, Ping Yi, Jun Liu, Jingjing Tao, Guanjing Lang, Yongtao Li, Min Xu, Jifang Sheng, Lanjuan Li, Kaijin Xu
Summary: A 1-year follow-up study on COVID-19 patients after hospital discharge showed gradual recovery on chest CT scans. Residual abnormalities, mainly ground-glass opacity, were associated with older age, smoking, hypertension, lower oxygen saturation, and secondary bacterial infections. These abnormalities were correlated with reduced lung volume parameters.
Article
Oncology
Haohao Lu, Chuansheng Zheng, Bin Liang, Bin Xiong
Summary: The study found that lobaplatin-TACE has a higher safety and efficacy in treating primary hepatocellular carcinoma. Compared with the epirubicin-TACE group, the lobaplatin-TACE group had higher tumor response rate and survival rates. There was no statistical difference in liver function and blood routine changes after TACE between the two groups, but the platelet decrease was more significant in the lobaplatin-TACE group.
ANTI-CANCER AGENTS IN MEDICINAL CHEMISTRY
(2023)
Letter
Gastroenterology & Hepatology
Yusheng Guo, Yanqiao Ren, Xiangjun Dong, Xuefeng Kan, Chuansheng Zheng
Article
Pharmacology & Pharmacy
Yanyan Cao, Fu Xiong, Xuefeng Kan, Xiaopeng Guo, Tao Ouyang, Runyang Wang, Junhan Yang, Linkang Cai, Binlei Liu, Bin Liang, Chuansheng Zheng
Summary: The optimal viral titer of OH2 was determined to be 1 x 10(7) CCID50. Transarterial viroembolization (TAVE) showed better therapeutic efficacy compared to other administration routes. The TAVE treatment improved locoregional tumor response, standby effect, survival benefit, and antitumor immune memory in immune-excluded liver cancer. TAVE is considered as a safe and effective modality for clinical practice.
PHARMACOLOGICAL RESEARCH
(2023)
Article
Gastroenterology & Hepatology
Lijie Zhang, Xin Zhang, Qing Li, Joyman Makamure, Ziyi Liu, Dan Zhao, Xin Li, Heshui Shi, Chuansheng Zheng, Fengyong Liu, Bin Liang
Summary: This study aimed to investigate the incidence, manifestation, and risk factors of transarterial chemoembolization (TACE) failure in patients with hepatocellular carcinoma (HCC). The results showed that TACE failure occurred in 20.4% of patients, and tumor without complete capsule and non-smooth margin were independent predictors of TACE failure.
CLINICS AND RESEARCH IN HEPATOLOGY AND GASTROENTEROLOGY
(2023)
Article
Multidisciplinary Sciences
Yusheng Guo, Yanqiao Ren, Licheng Zhu, Lian Yang, Chuansheng Zheng
Summary: This meta-analysis shows that sarcopenia is highly prevalent in HCC patients and is associated with poorer prognosis, including impaired overall survival, increased risk of tumor recurrence, lower objective response rate, and more drug-related adverse events. Moreover, the presence of cirrhosis and poor liver functional reserve further increase the hazard of sarcopenia. The impact of sarcopenia on overall survival is more severe in HCC patients at the early stage of tumor compared to other tumor stages.
SCIENTIFIC REPORTS
(2023)
Article
Medicine, General & Internal
Qing Fu, Dingxi Liu, Hui Ma, Kun Zhou, Ting Yin, Chuansheng Zheng, Ziqiao Lei
Summary: The purpose of this study was to investigate the feasibility and diagnostic performance of TGSE-BLADE-DWI for depicting EOM involvement and activity in TAO, and compare it with RESOLVE. The results showed that TGSE-BLADE-DWI had better image quality for EOM visualization and equivalent performance in detecting active TAO compared to RESOLVE.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Medicine, General & Internal
Li Cheng, Dongqiao Xiang, Shan Zhang, Chuansheng Zheng, Xiaoyan Wu
Summary: In this retrospective study, reintervention after TEVAR was observed in 11.3% of patients with uncomplicated TBAD, and the main reasons included endoleak, aneurysmal dilation, and dissection progression. Larger initial aortic diameter and excessive proximal landing zone oversizing were identified as significant risk factors for reintervention. Reintervention did not significantly affect long-term survival rates.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Medicine, General & Internal
Prashant Patel, Robert Thomas, Mohamad Hamady, Julian Hague, Jowad Raja, Tricia Tan, Stephen Bloom, Toby Richards, Clifford R. Weiss, Christina Gabriele Prechtl, Claire Smith, Thiagarajah Sasikaran, Richard Hesketh, Elli Bourmpaki, Nicholas Andrew Johnson, Francesca Fiorentino, Ahmed R. Ahmed
Summary: Left gastric artery embolisation (LGAE) is a treatment option for major upper gastrointestinal bleeding and has shown potential for weight loss. This study aims to evaluate the efficacy, mechanism of action, safety profile, and effects on obesity-related comorbidities of LGAE.
Article
Biotechnology & Applied Microbiology
Feng Pan, Qianqian Fan, Han Xie, Chongxin Bai, Zhi Zhang, Hebing Chen, Lian Yang, Xin Zhou, Qingjia Bao, Chaoyang Liu
Summary: This study proposes and evaluates DR-CycleGAN, a disentangled unsupervised network with a novel content-consistency loss, for removing motion artifacts in gadoxetic acid-enhanced liver MRI examinations. The performance of DR-CycleGAN is compared to Cycle-MedGAN V2.0, and it demonstrates higher image quality and lower motion artifact grades.
BIOENGINEERING-BASEL
(2023)
Article
Clinical Neurology
Xiaoyun Su, Xiangquan Kong, Xiangchuang Kong, Qing Zhu, Zuneng Lu, Chuansheng Zheng
Summary: This study evaluated the relationships between multisequence magnetic resonance neurography (MRN) findings, electrophysiological parameters, and clinical characteristics in CIDP patients. The results showed that MRN could serve as quantitative biomarkers of myelin sheath integrity in CIDP patients. Diffusion tensor imaging (DTI) parameters and contrast-enhanced ratio correlated with clinical characteristics better than morphological parameters-MR for CIDP patients.
THERAPEUTIC ADVANCES IN NEUROLOGICAL DISORDERS
(2023)
Article
Medicine, Research & Experimental
Tao Sun, Yusheng Guo, Bo Sun, Lei Chen, Yanqiao Ren, Licheng Zhu, Lijie Zhang, Yiming Liu, Chuansheng Zheng
Summary: This study evaluated the association between pretreatment Lung Immune Prognostic Index (LIPI) and outcomes in advanced hepatocellular carcinoma (HCC) patients treated with immune checkpoint inhibitors (ICIs). The results showed that high LIPI was associated with worse overall survival (OS) and progression-free survival (PFS), suggesting that LIPI could be a promising biomarker for advanced HCC patients under ICIs.
EUROPEAN JOURNAL OF MEDICAL RESEARCH
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yuyang Chen, Yiliang Wan, Feng Pan
Summary: The current AI models are not effective enough in diagnosing multiple diseases from real-world data due to their long-tail distribution. To address this issue, researchers used the ChestX-ray14 dataset, which includes 14 disease labels, and divided it into train, validation, and test sets. They added a final layer with 14 sigmoid activation units to output the diagnosis for each disease and designed a novel loss function to improve adaptive learning. The performance of different models was evaluated using the overall and individual areas under the receiver operating curve (AUROC), and CoAtNet-0-rw + L-ours model showed the best overall AUROC of 0.842.
JOURNAL OF DIGITAL IMAGING
(2023)
Article
Biochemistry & Molecular Biology
Hai-Dong Zhu, Hai-Liang Li, Ming-Sheng Huang, Wei-Zhu Yang, Guo-Wen Yin, Bin-Yan Zhong, Jun-Hui Sun, Zhi-Cheng Jin, Jian-Jian Chen, Nai-Jian Ge, Wen-Bin Ding, Wen-Hui Li, Jin-Hua Huang, Wei Mu, Shan-Zhi Gu, Jia-Ping Li, Hui Zhao, Shu-Wei Wen, Yan-Ming Lei, Yu-Sheng Song, Chun-Wang Yuan, Wei-Dong Wang, Ming Huang, Wei Zhao, Jian-Bing Wu, Song Wang, Xu Zhu, Jian-Jun Han, Wei-Xin Ren, Zai-Ming Lu, Wen-Ge Xing, Yong Fan, Hai-Lan Lin, Zi-Shu Zhang, Guo-Hui Xu, Wen-Hao Hu, Qiang Tu, Hong-Ying Su, Chuan-Sheng Zheng, Yong Chen, Xu-Ya Zhao, Zhu-Ting Fang, Qi Wang, Jin-Wei Zhao, Ai-Bing Xu, Jian Xu, Qing-Hua Wu, Huan-Zhang Niu, Jian Wang, Feng Dai, Dui-Ping Feng, Qing-Dong Li, Rong-Shu Shi, Jia-Rui Li, Guang Yang, Hai-Bin Shi, Jian-Song Ji, Yu-E Liu, Zheng Cai, Po Yang, Yang Zhao, Xiao-Li Zhu, Li-Gong Lu, Gao-Jun Teng
Summary: There is significant potential for combining transarterial chemoembolization (TACE), programmed death-(ligand)1 (PD-[L]1) inhibitors, and molecular targeted treatments (MTT) in hepatocellular carcinoma (HCC). A nationwide retrospective cohort study found that TACE plus PD-(L)1 inhibitors and MTT could significantly improve progression-free survival (PFS), overall survival (OS), and objective response rate (ORR) compared to TACE monotherapy in Chinese patients with predominantly advanced HCC in real-world practice.
SIGNAL TRANSDUCTION AND TARGETED THERAPY
(2023)
Article
Microbiology
Yanyan Cao, Lijie Zhang, Fu Xiong, Xiaopeng Guo, Xuefeng Kan, Songlin Song, Bo Liang, Bin Liang, Li Yu, Chuansheng Zheng
Summary: The study found that fecal microbiota transplantation (FMT) is a more attractive alternative to probiotics in dirty rats with liver cancer. FMT has a significant modulating effect on gut flora and can decrease the density of Treg cells, but it has no inhibitory effect on tumors.
FUTURE MICROBIOLOGY
(2023)
Article
Chemistry, Physical
Yiming Liu, Dingwen Shi, Yanqiao Ren, Ling Li, Yanbing Zhao, Chuansheng Zheng, Xiangliang Yang
Summary: In this study, a temperature sensitive polymer modified with gold nanoparticles was used to encapsulate doxorubicin, resulting in gold nanomedicines with improved antitumor efficacy and enhanced post-operative tumor immunosuppressive microenvironment.