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Article
Synthesis, preclinical evaluation and pilot clinical translation of [68Ga]Ga-PMD22, a novel nanobody PET probe targeting CLDN18.2 of gastrointestinal cancer
Claudin18.2 (CLDN18.2) is a novel target for diagnosis and therapy of gastrointestinal cancer. This study aimed to evaluate the safety and feasibility of a novel CLDN18.2-targeted nanobody, PMD22, labeled with...
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Article
Synthesis, preclinical, and initial clinical evaluation of integrin αVβ3 and gastrin-releasing peptide receptor (GRPR) dual-targeting radiotracer [68Ga]Ga-RGD-RM26-03
Integrin receptor αvβ3 and gastrin-releasing peptide receptor (GRPR) expression of tumors could be detected using PET imaging with radiolabeled Arg-Gly-Asp (RGD) and the antagonistic bombesin analog RM26, respect...
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Article
Comparison of novel PSMA-targeting [177Lu]Lu-P17-087 with its albumin binding derivative [177Lu]Lu-P17-088 in metastatic castration-resistant prostate cancer patients: a first-in-human study
Prostate-specific membrane antigen (PSMA) is a promising target for diagnosis and radioligand therapy (RLT) of prostate cancer. Two novel PSMA-targeting radionuclide therapy agents, [177Lu]Lu-P17-087, and its alb...
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Article
A prospective head-to-head comparison of [68Ga]Ga-P16-093 and [68Ga]Ga-PSMA-11 PET/CT in patients with primary prostate cancer
We aimed to compare the diagnostic performance and biodistribution of two similar PET agents, [68Ga]Ga-P16-093 and [68Ga]Ga-PSMA-11, in the same group of primary prostate cancer (PCa) patients.
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Article
Open AccessRelationships of work stress and interpersonal needs with industrial workers’ mental health: a moderated mediation model
This study explores whether feelings of defeat (i.e., a sense of failed struggle and losing rank; referred to as defeat for simplicity) mediated the effect of work stress on depression/anxiety, the effect of i...
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Article
Open AccessThe value of 18F-FDG PET/CT in the systemic evaluation of patients with Rosai–Dorfman disease: a retrospective study and literature review
Rosai–Dorfman disease (RDD) is a rare form of non-Langerhans cell histiocytic disease. The aim of this study was to review the characteristics of RDD using 18F-FDG PET/CT and determine its efficacy in the disease...
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Article
Open AccessMolecular imaging of HER2 expression in breast cancer patients using a novel peptide-based tracer 99mTc-HP-Ark2: a pilot study
Due to the temporal and spatial heterogeneity of human epidermal growth factor receptor 2 (HER2) expression in breast tumors, immunohistochemistry (IHC) cannot accurately reflect the HER2 status in real time, ...
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Article
A prospective head-to-head comparison of 68 Ga-NOTA-3P-TATE-RGD and 68 Ga-DOTATATE in patients with gastroenteropancreatic neuroendocrine tumours
The aim of this study was to compare 68 Ga-NOTA-3P-TATE-RGD, a dual somatostatin receptor 2– and integrin αVβ3–targeting tracer, to 68 Ga-DOTATATE in a single group of patients with gastroenteropancreatic (GEP)-n...
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Article
Open AccessThe association between entrapment and depression among migrant workers in China: a social rank theory based study
Migrant workers are a group susceptible for depression evolution due to occupational maladaptive triggers. The social rank theory illustrates the pathology process from defensive adaptation to depression, poin...
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Article
Correction to: 68Ga-FAPI outperforms 18F-FDG PET/CT in identifying solitary fibrous tumor
A Correction to this paper has been published: https://doi.org/10.1007/s00259-021-05228-z
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Article
68Ga-FAPI outperforms 18F-FDG PET/CT in identifying solitary fibrous tumor
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Article
Convolution neural network model with improved pooling strategy and feature selection for weld defect recognition
Weld defect recognition plays an important role in the manufacturing process of large-scale equipment. Traditional methods generally include several serial steps, such as image preprocessing, region segmentati...
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Article
An artificial immune and incremental learning inspired novel framework for performance pattern identification of complex electromechanical systems
Performance pattern identification is the key basis for fault detection and condition prediction, which plays a major role in ensuring safety and reliability in complex electromechanical systems (CESs). Howeve...
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Article
A dilated convolution network-based LSTM model for multi-step prediction of chaotic time series
Aiming to solve the problems of low accuracy of multi-step prediction and difficulty in determining the maximum number of prediction steps of chaotic time series, a multi-step time series prediction model base...
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Article
Classification of weld defects based on the analytical hierarchy process and Dempster–Shafer evidence theory
Weld quality management is currently one of the most concerning issues in the manufacturing industry. In this paper, a novel method is proposed for weld defect classification based on the analytical hierarchy ...
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Article
Data fusion combined with echo state network for multivariate time series prediction in complex electromechanical system
Multivariate time series is widely used to evaluate and predict the health state of system. To focus on the importance of prediction accuracy for multivariate time series, many a research have been done on imp...
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Article
Application research of multivariate linkage fluctuation analysis on condition evaluation in process industry
Abnormal conditions are hazardous in complex process systems, and the aim of condition recognition is to detect abnormal conditions and thus avoid severe accidents. The relationship of linkage fluctuation betw...
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Article
Coupling analysis-based false monitoring information identification of production system in process industry
False monitoring information is a major problem in process production system and several ineffective methods have been proposed to identify false monitoring information in the production system. In this paper,...
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Article
Complex network theory-based condition recognition of electromechanical system in process industry
In order to recognize the different operating conditions of a distributed and complex electromechanical system in the process industry, this work proposed a novel method of condition recognition by combining c...
