LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 147

Search options

  1. Article: Unraveling the mystery: congenital absence of the portal vein and its cardiac implications.

    Xu, Zhanwen / Yin, Xiaoping

    Revista espanola de enfermedades digestivas

    2024  

    Abstract: A 25-year-old male with tachycardia and right heart enlargement was diagnosed with atrial-ventricular nodal reentrant tachycardia (AVNRT) and successfully treated with radiofrequency ablation. Cardiac MRI confirmed right heart enlargement but ruled out ... ...

    Abstract A 25-year-old male with tachycardia and right heart enlargement was diagnosed with atrial-ventricular nodal reentrant tachycardia (AVNRT) and successfully treated with radiofrequency ablation. Cardiac MRI confirmed right heart enlargement but ruled out cardiomyopathy. Further imaging revealed a rare congenital absence of the portal vein (CAPV) with an associated portosystemic shunt. This case highlights the importance of considering CAPV in unexplained cardiac symptoms and structural heart changes.
    Language English
    Publishing date 2024-03-07
    Publishing country Spain
    Document type Journal Article
    ZDB-ID 1070381-0
    ISSN 1130-0108 ; 0212-7512
    ISSN 1130-0108 ; 0212-7512
    DOI 10.17235/reed.2024.10323/2024
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  2. Article ; Online: Total cholesterol mediates the association between history of gestational diabetes mellitus and bone mineral density in US women aged 20-49 years.

    Zeng, Yan / Yin, Li / Yin, Xiaoping / Zhao, Danqing

    BMC public health

    2024  Volume 24, Issue 1, Page(s) 81

    Abstract: Objective: The aim of this study is to investigate the potential association between a history of gestational diabetes mellitus (GDM) and lumbar bone mineral density (BMD) among premenopausal women, with an additional examination of the mediating role ... ...

    Abstract Objective: The aim of this study is to investigate the potential association between a history of gestational diabetes mellitus (GDM) and lumbar bone mineral density (BMD) among premenopausal women, with an additional examination of the mediating role of serum total cholesterol (TC).
    Methods: In this cross-sectional study, 1809 women aged 20-49 years with at least one live birth between 2011 and 2018, drawn from the NHANES dataset, were analyzed. GDM history was identified through questionnaires. Using weighted multiple linear regression, we assessed the relationship between GDM history and lumbar BMD. Additionally, mediation analysis was performed to investigate the potential mediating role of TC.
    Results: The fully adjusted linear regression model revealed a negative association between a history of GDM and lumbar BMD, indicating a reduction in lumbar BMD (β = -0.023, 95% CI: -0.043, -0.003, P = 0.0275). Subgroup analysis highlighted a more pronounced trend in individuals aged ≥ 35 years and with a body mass index ≥ 30 kg/m². Furthermore, mediation analysis demonstrated a significant direct effect of a history of GDM on lumbar BMD (P < 0.0001), with serum TC playing a partial mediating role in this interaction (5.33%, P = 0.028).
    Conclusions: In women aged 20-49 years within the United States, a history of GDM was associated with diminished lumbar BMD, potentially mediated through serum TC.
    MeSH term(s) Female ; Humans ; Pregnancy ; Absorptiometry, Photon ; Bone Density ; Cholesterol ; Cross-Sectional Studies ; Diabetes, Gestational/epidemiology ; Nutrition Surveys ; United States/epidemiology
    Chemical Substances Cholesterol (97C5T2UQ7J)
    Language English
    Publishing date 2024-01-03
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2041338-5
    ISSN 1471-2458 ; 1471-2458
    ISSN (online) 1471-2458
    ISSN 1471-2458
    DOI 10.1186/s12889-023-17609-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  3. Article ; Online: Delayed cardiotoxicity following osimertinib therapy in non-small cell lung cancer: a unique case report.

    Xu, Zhanwen / Jia, Haiyan / Yin, Xiaoping

    Anti-cancer drugs

    2024  

    Abstract: This case report features a 62-year-old male with stage IB lung adenocarcinoma harboring an epidermal growth factor receptor exon 19 deletion, who underwent treatment with osimertinib following a left upper lobectomy and lymph node dissection. Despite a ... ...

    Abstract This case report features a 62-year-old male with stage IB lung adenocarcinoma harboring an epidermal growth factor receptor exon 19 deletion, who underwent treatment with osimertinib following a left upper lobectomy and lymph node dissection. Despite a history of smoking and well-managed type 2 diabetes, the patient developed heart failure 18 months post-initiation of osimertinib therapy, marking one of the latest occurrences of heart failure following osimertinib treatment documented in limited literature. Cardiac MRI revealed significant left ventricular enlargement, lateral wall myocardial thinning, and localized myocardial fibrosis without perfusion defects, a finding not previously reported in literature. This case underscores the severe and unusual cardiac effects of osimertinib in patients with latent risk factors, highlighting the importance of vigilant cardiac monitoring and a multidisciplinary management approach.
    Language English
    Publishing date 2024-03-08
    Publishing country England
    Document type Journal Article
    ZDB-ID 1065301-6
    ISSN 1473-5741 ; 0959-4973
    ISSN (online) 1473-5741
    ISSN 0959-4973
    DOI 10.1097/CAD.0000000000001595
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  4. Article ; Online: Neurosyphilis with Visual Disturbances as the First Symptom.

    Chen, Zhiying / Zhu, Jing / Yin, Xiaoping

    Neurology India

    2024  Volume 72, Issue 2, Page(s) 416–418

    MeSH term(s) Humans ; Neurosyphilis/complications ; Neurosyphilis/diagnosis ; Vision Disorders/etiology ; Male ; Adult
    Language English
    Publishing date 2024-04-30
    Publishing country India
    Document type Case Reports ; Letter ; Journal Article
    ZDB-ID 415522-1
    ISSN 1998-4022 ; 0028-3886
    ISSN (online) 1998-4022
    ISSN 0028-3886
    DOI 10.4103/neurol-india.Neurol-India-D-24-00068
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  5. Article ; Online: Gemtuzumab ozogamicin (GO) as monotherapy and in combination with hypomethylation agents in the treatment of acute myeloid leukemia: a systematic meta-analysis.

    Li, Jun / Yin, Xiaoping

    Hematology (Amsterdam, Netherlands)

    2022  Volume 27, Issue 1, Page(s) 300–309

    Abstract: Objectives: To explore whether the addition of HMA to GO could bring additional clinical benefits to AML patients.: Background: Several studies have shown the HMA plus GO combination showed exciting results. However, the comparison of the clinical ... ...

    Abstract Objectives: To explore whether the addition of HMA to GO could bring additional clinical benefits to AML patients.
    Background: Several studies have shown the HMA plus GO combination showed exciting results. However, the comparison of the clinical efficacy and safety profile of this combination with GO monotherapy has not been witnessed.
    Methods: We performed a systematic review and meta-analysis of 18 clinical trials regarding the mono-GO therapy alone or the HMA + GO combination. The random-effect model or fixed-effect model was applied to the study based on heterogeneity.
    Results: Pooled data of HMA + GO combination are more effective than mono-GO therapy among the unfit acute myeloid leukemia (AML) patients, based on the evaluation of overall response rate (ORR) (HMA + GO vs. mono-GO, 48% vs. 25%), composite complete remission (CRc) (HMA + GO vs. mono-GO, 42% vs. 25%). But pooled data of CRc and ORR showed no notable difference among R/R AML patients. Safety profiles have demonstrated that the HMA + GO combination was tolerable, considering the relatively low toxicities.
    Conclusion: HMA + GO combination, more effective and better tolerated than mono-GO therapy should be recommended to treat unfit AML patients instead of R/R AML patients.
    MeSH term(s) Gemtuzumab/pharmacology ; Gemtuzumab/therapeutic use ; Humans ; Leukemia, Myeloid, Acute/drug therapy
    Chemical Substances Gemtuzumab (93NS566KF7)
    Language English
    Publishing date 2022-02-26
    Publishing country England
    Document type Journal Article ; Meta-Analysis ; Systematic Review
    ZDB-ID 1341428-8
    ISSN 1607-8454 ; 1024-5332 ; 1024-5340
    ISSN (online) 1607-8454
    ISSN 1024-5332 ; 1024-5340
    DOI 10.1080/16078454.2022.2042964
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  6. Article ; Online: Differentiating HCC from ICC and prediction of ICC grade based on MRI deep-radiomics: Using lesions and their extended regions.

    Wang, Shuping / Wang, Xuehu / Yin, Xiaoping / Lv, Xiaoyan / Cai, Jianming

    Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)

    2024  Volume 120, Page(s) 103322

    Abstract: Purpose: This study aimed to evaluate the ability of MRI-based intratumoral and peritumoral radiomics features of liver tumors to differentiate between hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC) and to predict ICC ... ...

    Abstract Purpose: This study aimed to evaluate the ability of MRI-based intratumoral and peritumoral radiomics features of liver tumors to differentiate between hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC) and to predict ICC differentiation.
    Methods: This study retrospectively collected 87 HCC patients and 75 ICC patients who were confirmed pathologically. The standard region of interest (ROI) of the lesion drawn by the radiologist manually shrank inward and expanded outward to form multiple ROI extended regions. A three-step feature selection method was used to select important radiomics features and convolution features from extended regions. The predictive performance of several machine learning classifiers on dominant feature sets was compared. The extended region performance was assessed by area under the curve (AUC), specificity, sensitivity, F1-score and accuracy.
    Results: The performance of the model is further improved by incorporating convolution features. Compared with the standard ROI, the extended region obtained better prediction performance, among which 6 mm extended region had the best prediction ability (Classification: AUC = 0.96, F1-score = 0.94, Accuracy: 0.94; Grading: AUC = 0.94, F1-score = 0.93, Accuracy = 0.89).
    Conclusion: Larger extended region and fusion features can improve tumor predictive performance and have potential value in tumor radiology.
    MeSH term(s) Humans ; Carcinoma, Hepatocellular ; Liver Neoplasms/pathology ; Retrospective Studies ; Radiomics ; Magnetic Resonance Imaging/methods ; Cholangiocarcinoma ; Bile Ducts, Intrahepatic/pathology ; Bile Duct Neoplasms
    Language English
    Publishing date 2024-03-06
    Publishing country Italy
    Document type Journal Article
    ZDB-ID 1122650-x
    ISSN 1724-191X ; 1120-1797
    ISSN (online) 1724-191X
    ISSN 1120-1797
    DOI 10.1016/j.ejmp.2024.103322
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  7. Article ; Online: Recognition of liver tumors by predicted hyperspectral features based on patient's computed tomography radiomics features.

    Wang, Xuehu / Wang, Tianqi / Zheng, Yongchang / Yin, Xiaoping

    Photodiagnosis and photodynamic therapy

    2023  Volume 42, Page(s) 103638

    Abstract: Background: Primary liver tumors can be a serious threat to life and health. Early diagnosis may be life saving. Therefore, enhancing the accuracy of non-invasive early detection of liver tumors is imperative.: Methods: Firstly, image enhancement was ...

    Abstract Background: Primary liver tumors can be a serious threat to life and health. Early diagnosis may be life saving. Therefore, enhancing the accuracy of non-invasive early detection of liver tumors is imperative.
    Methods: Firstly, image enhancement was applied to augment the dataset, resulting in a total of 464 samples after employing seven data augmentation methods. Subsequently, the XGBoost model was utilized to construct and learn the mapping relationship between Computed Tomography (CT) and corresponding hyperspectral imaging (HSI) data. This model enables the prediction of HSI features corresponding to CT features, thereby enriching CT with more comprehensive hyperspectral information.
    Results: Four classifiers were employed to discern the presence of tumors in patients. The results demonstrated exceptional performance, with a classification accuracy exceeding 90%.
    Conclusions: This study proposes an artificial intelligence-based methodology that utilizes early CT radiomics features to predict HSI features. Subsequently, the results are utilized for non-invasive tumor prediction and early screening, thereby enhancing the accuracy of non-invasive liver tumor detection.
    MeSH term(s) Humans ; Artificial Intelligence ; Photochemotherapy/methods ; Photosensitizing Agents ; Tomography, X-Ray Computed/methods ; Liver Neoplasms/diagnostic imaging ; Retrospective Studies
    Chemical Substances Photosensitizing Agents
    Language English
    Publishing date 2023-05-27
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2149918-4
    ISSN 1873-1597 ; 1572-1000
    ISSN (online) 1873-1597
    ISSN 1572-1000
    DOI 10.1016/j.pdpdt.2023.103638
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  8. Article: Association of triglyceride-glucose index levels with gestational diabetes mellitus in the US pregnant women: a cross-sectional study.

    Zeng, Yan / Yin, Li / Yin, Xiaoping / Zhao, Danqing

    Frontiers in endocrinology

    2023  Volume 14, Page(s) 1241372

    Abstract: Objective: This investigation aimed to assess the correlation between the triglyceride-glucose (TyG) index and gestational diabetes mellitus (GDM) in pregnant women in the United States.: Methods: We calculated the TyG index utilizing data from ... ...

    Abstract Objective: This investigation aimed to assess the correlation between the triglyceride-glucose (TyG) index and gestational diabetes mellitus (GDM) in pregnant women in the United States.
    Methods: We calculated the TyG index utilizing data from pregnant women who participated in the National Health and Nutrition Examination Survey (NHANES) through 1999 to March 2020, and then employed multivariate logistic regression, smoothed curve fitting, and subgroup analysis to investigate the association between the TyG index and gestational diabetes during pregnancy.
    Results: Logistic regression models revealed a positive association between the TyG index and GDM, remaining significant even after adjusting for all confounding variables (OR=3.43, 95% CI: 1.20-9.85,
    Conclusion: The TyG index correlates positively with the GDM, however its diagnostic efficacy is limited. Further research on the TyG index as an early predictor of GDM is required.
    MeSH term(s) Pregnancy ; Humans ; Female ; Diabetes, Gestational/diagnosis ; Diabetes, Gestational/epidemiology ; Cross-Sectional Studies ; Pregnant Women ; Nutrition Surveys ; Glucose ; Triglycerides
    Chemical Substances Glucose (IY9XDZ35W2) ; Triglycerides
    Language English
    Publishing date 2023-10-10
    Publishing country Switzerland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2592084-4
    ISSN 1664-2392
    ISSN 1664-2392
    DOI 10.3389/fendo.2023.1241372
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  9. Article ; Online: TBACkp: HER2 expression status classification network focusing on intrinsic subenvironmental characteristics of breast cancer liver metastases.

    Yang, Kun / Song, Jie / Liu, Meng / Xue, Linyan / Liu, Shuang / Yin, Xiaoping / Liu, Kun

    Computers in biology and medicine

    2024  Volume 170, Page(s) 108002

    Abstract: The HER2 expression status in breast cancer liver metastases is a crucial indicator for the diagnosis, treatment, and prognosis assessment of patients. And typical diagnosis involves assessing the HER2 expression status through invasive procedures like ... ...

    Abstract The HER2 expression status in breast cancer liver metastases is a crucial indicator for the diagnosis, treatment, and prognosis assessment of patients. And typical diagnosis involves assessing the HER2 expression status through invasive procedures like biopsy. However, this method has certain drawbacks, such as being difficult in obtaining tissue samples and requiring long examination periods. To address these limitations, we propose an AI-aided diagnostic model. This model enables rapid diagnosis. It diagnoses a patient's HER2 expression status on the basis of preprocessed images, which is the region of the lesion extracted from a CT image rather than from an actual tissue sample. The algorithm of the model adopts a parallel structure, including a Branch Block and a Trunk Block. The Branch Block is responsible for extracting the gradient characteristics between the tumor sub-environments, and the Trunk Block is for fusing the characteristics extracted by the Branch Block. The Branch Block contains CNN with self-attention, which combines the advantages of CNN and self-attention to extract more meticulous and comprehensive image features. And the Trunk Block is so designed that it fuses the extracted image feature information without affecting the transmission of the original image features. The Conv-Attention is used to calculate the attention in the Trunk Block, which uses kernel dot product and is responsible for providing the weight for the self-attention in the process of using convolution induced deviation calculation. Combined with the structure of the model and the method used, we refer to this model as TBACkp. The dataset comprises the enhanced abdominal CT images of 151 patients with liver metastases from breast cancer, together with the corresponding HER2 expression levels for each patient. The experimental results are as follows: (AUC: 0.915, ACC: 0.854, specificity: 0.809, precision: 0.863, recall: 0.881, F1-score: 0.872). The results demonstrate that this method can accurately assess the HER2 expression status in patients when compared with other advanced deep learning model.
    MeSH term(s) Humans ; Female ; Breast Neoplasms/diagnostic imaging ; Breast Neoplasms/genetics ; Liver Neoplasms/diagnostic imaging ; Biopsy ; Algorithms
    Language English
    Publishing date 2024-01-19
    Publishing country United States
    Document type Journal Article
    ZDB-ID 127557-4
    ISSN 1879-0534 ; 0010-4825
    ISSN (online) 1879-0534
    ISSN 0010-4825
    DOI 10.1016/j.compbiomed.2024.108002
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  10. Article: Moyamoya syndrome may result from psoriasis: Four case reports.

    Chen, Zhi-Ying / Yu, Xiao-Qin / Xiang, Yuan-Yuan / Liu, Ling-Hua / Yin, Xiao-Ping

    World journal of clinical cases

    2024  Volume 12, Issue 10, Page(s) 1830–1836

    Abstract: Background: Moyamoya syndrome (MMS) is a group of diseases that involves more than one underlying disease and is accompanied by moyamoya vascular phenomena. Psoriasis is a chronic immune skin disease closely linked to high blood pressure and heart ... ...

    Abstract Background: Moyamoya syndrome (MMS) is a group of diseases that involves more than one underlying disease and is accompanied by moyamoya vascular phenomena. Psoriasis is a chronic immune skin disease closely linked to high blood pressure and heart disease. However, psoriasis-related MMS has not been reported.
    Case summary: We collected data on patients with stroke due to MMS between January 2017 and December 2019 and identified four cases of psoriasis. Case histories, imaging, and hematological data were collected. The average age of the initial stroke onset was 58.25 ± 11.52 years; three cases of hemorrhagic and one case of ischemic stroke were included. The average duration from psoriasis confirmation to the initial MMS-mediated stroke onset was 17 ± 3.56 years. All MMS-related stenoses involved the bilateral cerebral arteries: Suzuki grade III in one case, grade IV in two cases, and grade V in one case. Abnormally elevated plasma interleukin-6 levels were observed in four patients. Two patients had abnormally elevated immunoglobulin E levels, and two had thrombocytosis. All four patients received medication instead of surgery. With an average follow-up time of 2 years, two causing transient ischemic attacks occurred in two patients, and no hemorrhagic events occurred.
    Conclusion: Psoriasis may be a potential risk factor for MMS. Patients with psoriasis should be screened for MMS when they present with neurological symptoms.
    Language English
    Publishing date 2024-04-10
    Publishing country United States
    Document type Case Reports
    ISSN 2307-8960
    ISSN 2307-8960
    DOI 10.12998/wjcc.v12.i10.1830
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

To top