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  1. Article ; Online: Authors' Reply to "Diffuse Involvement of Pancreas Should Raise Suspicion of Mahvash Disease, an Autosomal Recessive Pancreatic Neuroendocrine Tumor Syndrome".

    He, Ming / Xue, Huadan

    Academic radiology

    2022  Volume 29, Issue 11, Page(s) 1772

    MeSH term(s) Humans ; Neuroendocrine Tumors/diagnostic imaging ; Neuroendocrine Tumors/genetics ; Neuroendocrine Tumors/pathology ; Pancreas/diagnostic imaging ; Pancreas/pathology ; Pancreatic Neoplasms/diagnostic imaging ; Pancreatic Neoplasms/genetics ; Pancreatic Neoplasms/pathology ; Abdomen/pathology ; Syndrome
    Language English
    Publishing date 2022-09-28
    Publishing country United States
    Document type Letter
    ZDB-ID 1355509-1
    ISSN 1878-4046 ; 1076-6332
    ISSN (online) 1878-4046
    ISSN 1076-6332
    DOI 10.1016/j.acra.2022.08.004
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: The appropriate position of radiology in COVID-19 diagnosis and treatment-current status and opinion from China.

    Xue, Huadan / Jin, Zhengyu

    Chinese journal of academic radiology

    2020  Volume 3, Issue 1, Page(s) 1–3

    Keywords covid19
    Language English
    Publishing date 2020-03-26
    Publishing country Singapore
    Document type Editorial
    ZDB-ID 2967251-X
    ISSN 2520-8993 ; 2520-8985
    ISSN (online) 2520-8993
    ISSN 2520-8985
    DOI 10.1007/s42058-020-00030-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: How to keep artificial intelligence evolving in the medical imaging world? Challenges and opportunities.

    Xue, Huadan / Hu, Ge / Hong, Nan / Dunnick, N Reed / Jin, Zhengyu

    Science bulletin

    2023  Volume 68, Issue 7, Page(s) 648–652

    MeSH term(s) Artificial Intelligence ; Diagnostic Imaging ; Machine Learning ; Radiography
    Language English
    Publishing date 2023-03-21
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2816140-3
    ISSN 2095-9281 ; 2095-9273
    ISSN (online) 2095-9281
    ISSN 2095-9273
    DOI 10.1016/j.scib.2023.03.031
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Slice Specific Adjustment. Improves the Image Quality of Whole-Body Diffusion-Weighted Examinations at 3T

    Huadan, Xue

    Magnetom flash

    2016  Volume -, Issue 2 = Nr. 65, Page(s) 26

    Language English
    Document type Article
    ZDB-ID 2465783-9
    Database Current Contents Medicine

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  5. Article ; Online: Prediction of Hepatic Encephalopathy After Transjugular Intrahepatic Portosystemic Shunt Based on CT Radiomic Features of Visceral Adipose Tissue.

    Cheng, Sihang / Hu, Ge / Jin, Zhengyu / Wang, Zhiwei / Xue, Huadan

    Academic radiology

    2023  

    Abstract: Rationale and objectives: To evaluate the performance and clinical utility of CT radiomic features of visceral adipose tissue (VAT) in the prediction of hepatic encephalopathy (HE) after transjugular intrahepatic portosystemic shunt (TIPS).: Materials ...

    Abstract Rationale and objectives: To evaluate the performance and clinical utility of CT radiomic features of visceral adipose tissue (VAT) in the prediction of hepatic encephalopathy (HE) after transjugular intrahepatic portosystemic shunt (TIPS).
    Materials and methods: This multi-center study was retrospectively designed. Patients with cirrhosis who underwent TIPS were recruited from January 2015 to December 2020. Pre-TIPS contrast-enhanced CT images were collected for VAT segmentation and radiomic feature extraction. Least absolute shrinkage and selection operator regression with ten-fold cross-validation was performed to reduce dimension. Logistic regression with regularization, support vector machine, and random forest were used for model construction.
    Results: A total of 130 patients (90 men; mean age, 54 ± 11 years) were finally enrolled. The cohort was split into 85 patients for the training set (58 men; mean age, 53 ± 12 years) with 19 HE, 21 patients for the internal test set (17 men; mean age, 53 ± 11 years) with 5 HE, and 24 patients for the external test set (15 men; mean age, 55 ± 11 years). Ten radiomic features and C-reactive protein constituted radiomic-clinical models with the best performance. The average area under the receiver operating characteristic curve is 0.97 in the training set and 0.84 in the test sets. For a fixed sensitivity of 0.90, the specificity and negative predictive value of the model is 0.63 and 1.00, respectively; while for a fixed specificity of 0.90, the sensitivity and positive predictive value is 0.60 and 0.75, respectively.
    Conclusion: Machine learning models based on CT radiomic features extracted from VAT can predict post-TIPS HE with satisfactory performance.
    Clinical relevance statement: Our machine learning models based on CT radiomic features of visceral adipose tissue in patients with cirrhosis may assist in predicting hepatic encephalopathy after transjugular intrahepatic portosystemic shunt, indicating its potential in patient selection and clinical decision-making.
    Key points: Radiomics of visceral adipose tissue provide great help in predicting hepatic encephalopathy after transjugular intrahepatic portosystemic shunt. The clinical-radiomic models showed satisfactory performance with an average area under the receiver operating characteristic curve of 0.84. The model can hypothetically provide 90% sensitivity and 100% negative predictive value for guiding patients who are considering transjugular intrahepatic portosystemic shunt.
    Language English
    Publishing date 2023-11-24
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1355509-1
    ISSN 1878-4046 ; 1076-6332
    ISSN (online) 1878-4046
    ISSN 1076-6332
    DOI 10.1016/j.acra.2023.10.013
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: CT-based radiomics nomogram for prediction of survival after transarterial chemoembolization with drug-eluting beads in patients with hepatocellular carcinoma and portal vein tumor thrombus.

    Cheng, Sihang / Hu, Ge / Jin, Zhengyu / Wang, Zhiwei / Xue, Huadan

    European radiology

    2023  Volume 33, Issue 12, Page(s) 8715–8726

    Abstract: Objectives: To develop and validate a CT-based radiomics model for the prediction of the overall survival (OS) of patients with hepatocellular carcinoma (HCC) and portal vein tumor thrombus (PVTT) treated with drug-eluting beads transarterial ... ...

    Abstract Objectives: To develop and validate a CT-based radiomics model for the prediction of the overall survival (OS) of patients with hepatocellular carcinoma (HCC) and portal vein tumor thrombus (PVTT) treated with drug-eluting beads transarterial chemoembolization (DEB-TACE).
    Methods: Patients were retrospectively enrolled from two institutions for the constitution of training (n = 69) and validation (n = 31) cohorts with a median follow-up of 15 months. A total of 396 radiomics features were extracted from each baseline CT image. Features selected by variable importance and minimal depth were used for random survival forest model construction. The performance of the model was assessed using the concordance index (C-index), calibration curves, integrated discrimination index (IDI), net reclassification index (NRI), and decision curve analysis.
    Results: Type of PVTT and tumor number were proved to be significant clinical indicators for OS. Arterial phase images were used to extract radiomics features. Three radiomics features were selected for model construction. The C-index for the radiomics model was 0.759 in the training cohort and 0.730 in the validation cohort. To improve the predictive performance, clinical indicators were integrated into the radiomics model to form a combined model with a C-index of 0.814 in the training cohort and 0.792 in the validation cohort. The IDI was significant in both cohorts for the combined model versus the radiomics model in predicting 12-month OS.
    Conclusions: Type of PVTT and tumor number affected the OS of HCC patients with PVTT treated with DEB-TACE. Moreover, the combined clinical-radiomics model had a satisfactory performance.
    Clinical relevance statement: A CT-based radiomics nomogram, which consisted of 3 radiomics features and 2 clinical indicators, was recommended to predict 12-month overall survival of patients with hepatocellular carcinoma and portal vein tumor thrombus initially treated with drug-eluting beads transarterial chemoembolization.
    Key points: • Type of portal vein tumor thrombus and tumor number were significant predictors of the OS. • Integrated discrimination index and net reclassification index provided a quantitative evaluation of the incremental impact added by new indicators for the radiomics model. • A nomogram based on a radiomics signature and clinical indicators showed satisfactory performance in predicting OS after DEB-TACE.
    MeSH term(s) Humans ; Carcinoma, Hepatocellular/complications ; Carcinoma, Hepatocellular/diagnostic imaging ; Carcinoma, Hepatocellular/therapy ; Liver Neoplasms/complications ; Liver Neoplasms/diagnostic imaging ; Liver Neoplasms/therapy ; Nomograms ; Portal Vein/diagnostic imaging ; Portal Vein/pathology ; Retrospective Studies ; Chemoembolization, Therapeutic/methods ; Thrombosis/pathology ; Tomography, X-Ray Computed
    Language English
    Publishing date 2023-07-12
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1085366-2
    ISSN 1432-1084 ; 0938-7994 ; 1613-3749
    ISSN (online) 1432-1084
    ISSN 0938-7994 ; 1613-3749
    DOI 10.1007/s00330-023-09830-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Damage evaluation of craniofacial localized scleroderma using magnetic resonance imaging.

    Ma, Xuda / Huang, Jiuzuo / Xue, Huadan / Wang, Hongwei / Wang, Tianjiao / Chen, Yu / Long, Xiao / Wang, Xiaojun

    Quantitative imaging in medicine and surgery

    2024  Volume 14, Issue 2, Page(s) 1891–1903

    Abstract: Background: Localized scleroderma (LoS) is an autoimmune disease in which craniofacial lesions can cause severe facial deformities with brain involvement. Objective evaluation of craniofacial LoS is challenging. Magnetic resonance imaging (MRI) may be ... ...

    Abstract Background: Localized scleroderma (LoS) is an autoimmune disease in which craniofacial lesions can cause severe facial deformities with brain involvement. Objective evaluation of craniofacial LoS is challenging. Magnetic resonance imaging (MRI) may be used as a damage assessment tool. This study aimed to analyze the tissue involvement of craniofacial LoS based on MRI and evaluate MRI for craniofacial LoS assessment.
    Methods: This cross-sectional study included patients with craniofacial LoS from September 2021 to August 2022 in Peking Union Medical College Hospital. Patients who were clinically assessed in a stable phase were enrolled; patients with previous surgical treatment or contraindications to MRI were excluded. Participants underwent clinical, MRI, and ultrasound assessments. MRI was compared with ultrasound by correlation analysis and Bland-Altman analysis. The involvement of different tissues and different facial subunits was compared. The accumulated soft tissue atrophy index (ASTAI) was compared with clinical scores by correlation analysis.
    Results: A total of 28 patients were included (13 female; mean age, 18 years). MRI showed a good correlation and agreement with ultrasound (r=0.916, P<0.001). In different facial subunits, a significant negative correlation between the forehead and chin was found (r=-0.593, P=0.001). The ASTAI correlated well with the facial LoS damage index (r=0.580, P=0.001) and the Peking Union Medical College LoS facial aesthetic index (PUMC LoSFAI) (r=0.921, P<0.001). A total of 38.6% of clinical scores were inaccurate based on MRI. Neurological changes were found in one patient.
    Conclusions: MRI can reliably quantify damage in craniofacial LoS, and may serve as a useful and objective tool for overall craniofacial LoS evaluation.
    Language English
    Publishing date 2024-01-19
    Publishing country China
    Document type Journal Article
    ZDB-ID 2653586-5
    ISSN 2223-4306 ; 2223-4292
    ISSN (online) 2223-4306
    ISSN 2223-4292
    DOI 10.21037/qims-23-980
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Supramolecular Nanofibrils Formed by Coassembly of Clinically Approved Drugs for Tumor Photothermal Immunotherapy.

    Li, Shukun / Zhang, Wenjia / Xing, Ruirui / Yuan, Chengqian / Xue, Huadan / Yan, Xuehai

    Advanced materials (Deerfield Beach, Fla.)

    2021  Volume 33, Issue 29, Page(s) e2103733

    Language English
    Publishing date 2021-07-19
    Publishing country Germany
    Document type Published Erratum
    ZDB-ID 1474949-X
    ISSN 1521-4095 ; 0935-9648
    ISSN (online) 1521-4095
    ISSN 0935-9648
    DOI 10.1002/adma.202103733
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: The appropriate position of radiology in COVID-19 diagnosis and treatment—current status and opinion from China

    Xue, Huadan / Jin, Zhengyu

    Chinese Journal of Academic Radiology

    2020  Volume 3, Issue 1, Page(s) 1–3

    Keywords covid19
    Language English
    Publisher Springer Science and Business Media LLC
    Publishing country us
    Document type Article ; Online
    ZDB-ID 2967251-X
    ISSN 2520-8993 ; 2520-8985
    ISSN (online) 2520-8993
    ISSN 2520-8985
    DOI 10.1007/s42058-020-00030-6
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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