LIVIVO - Das Suchportal für Lebenswissenschaften

switch to English language
Zurück zur letzten Suche Suchhistorie
Erweiterte Suche

Ihre letzten Suchen

  1. AU="Goberdhan, Sankalp"
  2. AU="Krammer, Sandy"
  3. AU="Whitehorne-Smith, Patrice"
  4. AU="Witek, M." AU="Witek, M."
  5. AU="Steiner, Luzius A"
  6. AU=Williams Kirryn
  7. AU="Rossi, Simone"
  8. AU="Bryan, Nathan S."
  9. AU="Sodhi, Sohail"
  10. AU="Sotiropoulos, Thodoris"
  11. AU="Osborne, Cameron"
  12. AU="Seira, Jordan"
  13. AU="Komiya, Ryota"
  14. AU="Yeonsoo Joe"
  15. AU="Christina Drake"
  16. AU="Rosenbloom, E Scott"
  17. AU="Clémentine Schilte"
  18. AU="Montanari, Andrea"
  19. AU="Salehi Karizmeh, Mojtaba"
  20. AU="Svanberg Frisinger, Frida"
  21. AU="Iyappan, Petchi"
  22. AU="Naomi Nakagata"
  23. AU="Marianne A. van der Sande"
  24. AU="Reno, Chiara"

Suchergebnis

Treffer 1 - 3 von insgesamt 3

Suchoptionen

  1. Artikel: Postprandial Right Upper Quadrant Abdominal Pain.

    Hemmrich, Megan A / Goberdhan, Sankalp / Sirotkin, Igor

    Federal practitioner : for the health care professionals of the VA, DoD, and PHS

    2022  Band 39, Heft 8, Seite(n) e0301

    Sprache Englisch
    Erscheinungsdatum 2022-08-18
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ISSN 1078-4497
    ISSN 1078-4497
    DOI 10.12788/fp.0301
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

    Zusatzmaterialien

    Kategorien

    Über subito bestellen

    Dieser Service ist kostenpflichtig (siehe Lieferbedingungen von subito). Bestellungen, die einen Artikel nebst Supplementary Material umfassen, werden grundsätzlich wie mehrfache Bestellungen bearbeitet. Gebühren fallen in diesen Fällen für jede einzelne Bestellung an.

    Fernleihe an ZB MED

    Sie können sich den gewünschten Titel als lokale Nutzerin oder lokaler Nutzer von ZB MED direkt an den Standort Köln schicken lassen.

  2. Artikel ; Online: Is tadalafil associated with decreased risk of major adverse cardiac events or venous thromboembolism in men with lower urinary tract symptoms?

    Goberdhan, Sankalp / Blachman-Braun, Ruben / Nackeeran, Sirpi / Masterson, Thomas A / Ramasamy, Ranjith

    World journal of urology

    2022  Band 40, Heft 7, Seite(n) 1799–1803

    Abstract: Purpose: To evaluate the association of tadalafil, a phosphodiesterase-5 inhibitor (PDE5I), with major adverse cardiac events (MACE) or venous thromboembolism (VTE) in men with lower urinary tract symptoms (LUTS).: Methods: Data was obtained from the ...

    Abstract Purpose: To evaluate the association of tadalafil, a phosphodiesterase-5 inhibitor (PDE5I), with major adverse cardiac events (MACE) or venous thromboembolism (VTE) in men with lower urinary tract symptoms (LUTS).
    Methods: Data was obtained from the TriNetX Research Network, ICD-10 codes were used to identify men with LUTS, MACE, and VTE. In addition, demographic characteristics and use of tadalafil or alpha-blocker was evaluated. Then, unbalanced and balanced association analyses was performed to assess the relation between tadalafil and/or alpha-blocker use with MACE/VTE.
    Results: After participant selection, analysis included 821,592 men that did not use an alpha blocker or tadalafil, 5,004 men that used tadalafil but no alpha blocker, 327,482 men that used an alpha blocker but no tadalafil, and 6,603 men that used both an alpha blocker and tadalafil. On balanced analysis, tadalafil was independently associated with a decreased risk of MACE/VTE within a 3-year time period (OR = 0.59, 95%CI 0.49-0.70, p < 0.0001). Among men with a history of alpha blocker use, tadalafil use was also independently associated with a decreased risk of MACE or VTE, both before and after controlling for potentially confounding variables (OR = 0.57, 95%CI: 0.50-0.66; p < 0.0001).
    Conclusions: In our study, tadalafil was associated with a decreased risk of MACE/VTE in men with LUTS with and without a history of alpha blocker use. It is time to perform further long-term prospective randomized studies to further analyze the cardiovascular effects of PDE5Is as combination treatment with alpha blockers in the management of LUTS.
    Mesh-Begriff(e) Adrenergic alpha-Antagonists ; Erectile Dysfunction/complications ; Humans ; Lower Urinary Tract Symptoms/drug therapy ; Lower Urinary Tract Symptoms/epidemiology ; Male ; Prospective Studies ; Prostatic Hyperplasia/complications ; Tadalafil/therapeutic use ; Treatment Outcome ; Venous Thromboembolism/chemically induced
    Chemische Substanzen Adrenergic alpha-Antagonists ; Tadalafil (742SXX0ICT)
    Sprache Englisch
    Erscheinungsdatum 2022-04-25
    Erscheinungsland Germany
    Dokumenttyp Journal Article
    ZDB-ID 380333-8
    ISSN 1433-8726 ; 0724-4983
    ISSN (online) 1433-8726
    ISSN 0724-4983
    DOI 10.1007/s00345-022-04005-3
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

    Volltext online

    Zusatzmaterialien

    Kategorien

    Verfügbar in ZB MED Köln/Königswinter

    Zs.A 1832: Hefte anzeigen Standort:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

    Über subito bestellen

    Dieser Service ist kostenpflichtig (siehe Lieferbedingungen von subito). Bestellungen, die einen Artikel nebst Supplementary Material umfassen, werden grundsätzlich wie mehrfache Bestellungen bearbeitet. Gebühren fallen in diesen Fällen für jede einzelne Bestellung an.

  3. Artikel: Generative Adversarial Networks Can Create High Quality Artificial Prostate Cancer Magnetic Resonance Images.

    Xu, Isaac R L / Van Booven, Derek J / Goberdhan, Sankalp / Breto, Adrian / Porto, Joao / Alhusseini, Mohammad / Algohary, Ahmad / Stoyanova, Radka / Punnen, Sanoj / Mahne, Anton / Arora, Himanshu

    Journal of personalized medicine

    2023  Band 13, Heft 3

    Abstract: The recent integration of open-source data with machine learning models, especially in the medical field, has opened new doors to studying disease progression and/or regression. However, the ability to use medical data for machine learning approaches is ... ...

    Abstract The recent integration of open-source data with machine learning models, especially in the medical field, has opened new doors to studying disease progression and/or regression. However, the ability to use medical data for machine learning approaches is limited by the specificity of data for a particular medical condition. In this context, the most recent technologies, like generative adversarial networks (GANs), are being looked upon as a potential way to generate high-quality synthetic data that preserve the clinical variability of a condition. However, despite some success, GAN model usage remains largely minimal when depicting the heterogeneity of a disease such as prostate cancer. Previous studies from our group members have focused on automating the quantitative multi-parametric magnetic resonance imaging (mpMRI) using habitat risk scoring (HRS) maps on the prostate cancer patients in the BLaStM trial. In the current study, we aimed to use the images from the BLaStM trial and other sources to train the GAN models, generate synthetic images, and validate their quality. In this context, we used T2-weighted prostate MRI images as training data for Single Natural Image GANs (SinGANs) to make a generative model. A deep learning semantic segmentation pipeline trained the model to segment the prostate boundary on 2D MRI slices. Synthetic images with a high-level segmentation boundary of the prostate were filtered and used in the quality control assessment by participating scientists with varying degrees of experience (more than ten years, one year, or no experience) to work with MRI images. Results showed that the most experienced participating group correctly identified conventional vs. synthetic images with 67% accuracy, the group with one year of experience correctly identified the images with 58% accuracy, and the group with no prior experience reached 50% accuracy. Nearly half (47%) of the synthetic images were mistakenly evaluated as conventional. Interestingly, in a blinded quality assessment, a board-certified radiologist did not significantly differentiate between conventional and synthetic images in the context of the mean quality of synthetic and conventional images. Furthermore, to validate the usability of the generated synthetic images from prostate cancer MRIs, we subjected these to anomaly detection along with the original images. Importantly, the success rate of anomaly detection for quality control-approved synthetic data in phase one corresponded to that of the conventional images. In sum, this study shows promise that high-quality synthetic images from MRIs can be generated using GANs. Such an AI model may contribute significantly to various clinical applications which involve supervised machine-learning approaches.
    Sprache Englisch
    Erscheinungsdatum 2023-03-18
    Erscheinungsland Switzerland
    Dokumenttyp Journal Article
    ZDB-ID 2662248-8
    ISSN 2075-4426
    ISSN 2075-4426
    DOI 10.3390/jpm13030547
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

    Zusatzmaterialien

    Kategorien

    Über subito bestellen

    Dieser Service ist kostenpflichtig (siehe Lieferbedingungen von subito). Bestellungen, die einen Artikel nebst Supplementary Material umfassen, werden grundsätzlich wie mehrfache Bestellungen bearbeitet. Gebühren fallen in diesen Fällen für jede einzelne Bestellung an.

Zum Seitenanfang