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  1. Article ; Online: The metaverse training room for cardiovascular interventional surgery.

    Liu, Tai-Cheng / Liu, Ai-Shi / Bai, Zhi-Gang / Zhao, Lei

    Asian journal of surgery

    2023  Volume 46, Issue 7, Page(s) 2780–2781

    Language English
    Publishing date 2023-01-31
    Publishing country Netherlands
    Document type Letter
    ZDB-ID 1068461-x
    ISSN 0219-3108 ; 1015-9584
    ISSN (online) 0219-3108
    ISSN 1015-9584
    DOI 10.1016/j.asjsur.2023.01.043
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.B 2831: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  2. Article ; Online: Assessment of Acute Pulmonary Embolism by Computer-Aided Technique: A Reliability Study.

    Sun, Zhen-Ting / Hao, Fen-E / Guo, You-Min / Liu, Ai-Shi / Zhao, Lei

    Medical science monitor : international medical journal of experimental and clinical research

    2020  Volume 26, Page(s) e920239

    Abstract: BACKGROUND Acute pulmonary embolism is one of the most common cardiovascular diseases. Computer-aided technique is widely used in chest imaging, especially for assessing pulmonary embolism. The reliability and quantitative analyses of computer-aided ... ...

    Abstract BACKGROUND Acute pulmonary embolism is one of the most common cardiovascular diseases. Computer-aided technique is widely used in chest imaging, especially for assessing pulmonary embolism. The reliability and quantitative analyses of computer-aided technique are necessary. This study aimed to evaluate the reliability of geometry-based computer-aided detection and quantification for emboli morphology and severity of acute pulmonary embolism. MATERIAL AND METHODS Thirty patients suspected of acute pulmonary embolism were analyzed by both manual and computer-aided interpretation of vascular obstruction index and computer-aided measurements of emboli quantitative parameters. The reliability of Qanadli and Mastora scores was analyzed using computer-aided and manual interpretation. RESULTS The time costs of manual and computer-aided interpretation were statistically different (374.90±150.16 versus 121.07±51.76, P<0.001). The difference between the computer-aided and manual interpretation of Qanadli score was 1.83±2.19, and 96.7% (29 out of 30) of the measurements were within 95% confidence interval (intraclass correlation coefficient, ICC=0.998). The difference between the computer-aided and manual interpretation of Mastora score was 1.46±1.62, and 96.7% (29 out of 30) of the measurements were within 95% confidence interval (ICC=0.997). The emboli quantitative parameters were moderately correlated with the Qanadli and Mastora scores (all P<0.001). CONCLUSIONS Computer-aided technique could reduce the time costs, improve the and reliability of vascular obstruction index and provided additional quantitative parameters for disease assessment.
    MeSH term(s) Cost-Benefit Analysis ; Diagnosis, Computer-Assisted/economics ; Diagnosis, Computer-Assisted/methods ; Dimensional Measurement Accuracy ; Embolism/diagnostic imaging ; Female ; Humans ; Image Processing, Computer-Assisted/methods ; Male ; Middle Aged ; Pulmonary Artery/diagnostic imaging ; Pulmonary Embolism/diagnosis ; Reproducibility of Results ; Severity of Illness Index
    Language English
    Publishing date 2020-02-29
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1439041-3
    ISSN 1643-3750 ; 1234-1010
    ISSN (online) 1643-3750
    ISSN 1234-1010
    DOI 10.12659/MSM.920239
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 4924: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  3. Article ; Online: MR imaging of epithelial ovarian cancer: a combined model to predict histologic subtypes.

    Qian, LuoDan / Ren, JiaLiang / Liu, AiShi / Gao, Yang / Hao, FenE / Zhao, Lei / Wu, Hui / Niu, GuangMing

    European radiology

    2020  Volume 30, Issue 11, Page(s) 5815–5825

    Abstract: Objective: To compare the performance of clinical features, conventional MR image features, ADC value, T2WI, DWI, DCE-MRI radiomics, and a combined multiple features model in predicting the type of epithelial ovarian cancer (EOC).: Methods: In this ... ...

    Abstract Objective: To compare the performance of clinical features, conventional MR image features, ADC value, T2WI, DWI, DCE-MRI radiomics, and a combined multiple features model in predicting the type of epithelial ovarian cancer (EOC).
    Methods: In this retrospective analysis, 61 EOC patients were confirmed by histology. Significant features (p < 0.05) by multivariate logistic regression were retained to establish a clinical model, conventional MRI morphological model, ADC model, and traditional model. The radiomics model included FS-T2WI, DWI, and DCE-MRI, and also, a multisequence model was established. A total of 1070 radiomics features of each sequence were extracted; then, univariate analysis and LASSO were used to select important features. Traditional models were combined with a combined radiomics model to establish a mixed model. The predictive performance was validated by receiver operating characteristic curve (ROC) analysis, calibration curve, and decision curve analysis (DCA). A stratified analysis was conducted to compare the differences between the combined radiomics model and the traditional model in identifying early- and late-stage EOC.
    Results: Traditional models showed the highest performance (AUC = 0.96). The performance of the mixed model (AUC = 0.97) was not significantly different from that of the traditional model. The calibration curve showed that the traditional model had the highest reliability. Stratified analysis showed the potential of the combined radiomics model in the early distinction of the two tumor types.
    Conclusion: The traditional model is an effective tool to distinguish EOC type I/II. Combined radiomics models have the potential to better distinguish EOC types in early FIGO stage disease.
    Key points: • The combined radiomics model resulted in a better predictive model than that from a single sequence model. • The traditional model showed higher classification accuracy than the combined radiomics model. • Combined radiomics models have the potential to better distinguish EOC types in early FIGO stage disease.
    MeSH term(s) Adult ; Aged ; Aged, 80 and over ; Carcinoma, Ovarian Epithelial/diagnosis ; Female ; Humans ; Magnetic Resonance Imaging/methods ; Middle Aged ; Neoplasm Staging ; Ovarian Neoplasms/diagnosis ; Prognosis ; ROC Curve ; Reproducibility of Results ; Retrospective Studies
    Language English
    Publishing date 2020-06-13
    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/s00330-020-06993-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 3300: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  4. Article ; Online: Large-scale cortical volume correlation networks reveal disrupted small world patterns in Parkinson's disease.

    Wu, Qiong / Gao, Yang / Liu, Ai-Shi / Xie, Li-Zhi / Qian, Long / Yang, Xiao-Guang

    Neuroscience letters

    2018  Volume 662, Page(s) 374–380

    Abstract: To date, the most frequently reported neuroimaging biomarkers in Parkinson's disease (PD) are direct brain imaging measurements focusing on local disrupted regions. However, the notion that PD is related to abnormal functional and structural connectivity ...

    Abstract To date, the most frequently reported neuroimaging biomarkers in Parkinson's disease (PD) are direct brain imaging measurements focusing on local disrupted regions. However, the notion that PD is related to abnormal functional and structural connectivity has received support in the past few years. Here, we employed graph theory to analyze the structural co-variance networks derived from 50 PD patients and 48 normal controls (NC). Then, the small world properties of brain networks were assessed in the structural networks that were constructed based on cortical volume data. Our results showed that both the PD and NC groups had a small world architecture in brain structural networks. However, the PD patients had a higher characteristic path length and clustering coefficients compared with the NC group. With regard to the nodal centrality, 11 regions, including 3 association cortices, 5 paralimbic cortices, and 3 subcortical regions were identified as hubs in the PD group. In contrast, 10 regions, including 7 association cortical regions, 2 paralimbic cortical regions, and the primary motor cortex region, were identified as hubs. Moreover, the regional centrality was profoundly affected in PD patients, including decreased nodal centrality in the right inferior occipital gyrus and the middle temporal gyrus and increased nodal centrality in the right amygdala, the left caudate and the superior temporal gyrus. In addition, the structural cortical network of PD showed reduced topological stability for targeted attacks. Together, this study shows that the coordinated patterns of cortical volume network are widely altered in PD patients with a decrease in the efficiency of parallel information processing. These changes provide structural evidence to support the concept that the core pathophysiology of PD is associated with disruptive alterations in the coordination of large-scale brain networks that underlie high-level cognition.
    MeSH term(s) Aged ; Brain/physiopathology ; Female ; Humans ; Image Interpretation, Computer-Assisted/methods ; Magnetic Resonance Imaging ; Male ; Middle Aged ; Models, Neurological ; Models, Theoretical ; Nerve Net/physiopathology ; Parkinson Disease/physiopathology
    Language English
    Publishing date 2018-01-01
    Publishing country Ireland
    Document type Journal Article
    ZDB-ID 194929-9
    ISSN 1872-7972 ; 0304-3940
    ISSN (online) 1872-7972
    ISSN 0304-3940
    DOI 10.1016/j.neulet.2017.10.032
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 1166: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    Jg. 1995 - 2021: Lesesall (1.OG)
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  5. Article: Functional evaluation of normothermic ischemia and reperfusion injury in dog kidney by combining MR diffusion-weighted imaging and Gd-DTPA enhanced first-pass perfusion.

    Liu, Ai-Shi / Xie, Jing-Xia

    Journal of magnetic resonance imaging : JMRI

    2003  Volume 17, Issue 6, Page(s) 683–693

    Abstract: Purpose: To evaluate functional alterations of renal ischemia and reperfusion injury using MR diffusion-weighted imaging and dynamic perfusion imaging.: Materials and methods: Twelve dogs were randomly divided into four groups. Animal renal ischemia ... ...

    Abstract Purpose: To evaluate functional alterations of renal ischemia and reperfusion injury using MR diffusion-weighted imaging and dynamic perfusion imaging.
    Materials and methods: Twelve dogs were randomly divided into four groups. Animal renal ischemia was respectively induced for 30 (group 1), 60 (group 2), 90 (group 3), and 120 (group 4) minutes by left renal artery ligation under anesthesia. Using a 1.5 T MR system, true-FISP, TSE, EPI, and DWI sequences were acquired in five different periods; specifically, pre-ischemia, onset-ischemia, late ischemia, onset-reperfusion, and post-reperfusion. Moreover, a turbo-FLASH sequence (TR/TE/TI/FA = 5.8/3.2/400 msec/10 degrees ) with a temporal resolution of 1.16 seconds was acquired. Signal intensity (SI) was measured in the cortex, outer medulla, and inner medulla of kidney. Apparent diffusion coefficient (ADC) values were calculated, and SI was plotted as a function of time.
    Results: In all animals, significant SI changes of the left kidney on T2/T2*WI were detected following ischemia-reperfusion insult compared to corresponding values of the right kidney. Following ligation, the ADC values decreased in all layers of the left kidney. Immediately after the release of ligation, ADC values in both outer and inner medulla of the left kidney remained lower than those of the right kidney in those animals which were induced with renal ischemia for 60, 90, and 120 minutes. In all groups, a uniphasic enhancement pattern was observed in the outer and inner medulla of the left kidney, accompanied by a decrease of the area under the curve.
    Conclusion: Our results suggest that MR diffusion-weighted imaging and dynamic perfusion imaging are useful in identifying renal dysfunction following normothermic ischemia and reperfusion injury.
    MeSH term(s) Animals ; Area Under Curve ; Body Temperature/physiology ; Contrast Media/administration & dosage ; Diffusion Magnetic Resonance Imaging/methods ; Dogs ; Feasibility Studies ; Gadolinium DTPA/administration & dosage ; Kidney/pathology ; Ligation ; Magnetic Resonance Imaging/methods ; Male ; Proteinuria/urine ; Reperfusion Injury/diagnosis ; Reperfusion Injury/pathology
    Chemical Substances Contrast Media ; Gadolinium DTPA (K2I13DR72L)
    Language English
    Publishing date 2003-06
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1146614-5
    ISSN 1522-2586 ; 1053-1807
    ISSN (online) 1522-2586
    ISSN 1053-1807
    DOI 10.1002/jmri.10312
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.MO 236: Show issues

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