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  1. Book ; Thesis: Validierung und prognostischer Nutzen des globalen longitudinalen Strain bei Patienten mit nicht-ischämischer dilatativer Kardiomyopathie

    Thome, Simeon / Buß, Sebastian Johannes

    2021  

    Institution Universität Heidelberg
    Author's details vorgelegt von Simeon Thome ; Doktorvater: Prof. Dr. med. Sebastian Johannes Buß
    Language German
    Size IV, 73 Seiten, Illustrationen, Diagramme, 30 cm
    Publishing place Heidelberg
    Publishing country Germany
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Dissertation, Ruprecht-Karls-Universität Heidelberg, 2021
    HBZ-ID HT021249975
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2022 E 244 order for loan Magazin

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  2. Book ; Thesis: Einfluss von Aldosteron- und Endothelin-Antagonisten auf die gestörte neurohumorale Regulation bei der chronischen Herzinsuffizienz

    Buß, Sebastian Johannes

    Untersuchungen an tierexperimentellen Modellen

    2005  

    Author's details vorgelegt von Sebastian Johannes Buß
    Subject code 616.1 ; 615.7
    Language German
    Size VII, 95 Bl., graph. Darst., 30 cm
    Publishing country Germany
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Heidelberg, Univ., Diss., 2005
    HBZ-ID HT014850032
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2006 E 1682 order for loan Magazin

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  3. Article ; Online: Deep learning for vessel-specific coronary artery calcium scoring: validation on a multi-centre dataset.

    Winkel, David J / Suryanarayana, V Reddappagari / Ali, A Mohamed / Görich, Johannes / Buß, Sebastian Johannes / Mendoza, Axel / Schwemmer, Chris / Sharma, Puneet / Schoepf, U Joseph / Rapaka, Saikiran

    European heart journal. Cardiovascular Imaging

    2021  Volume 23, Issue 6, Page(s) 846–854

    Abstract: Aims: To present and validate a fully automated, deep learning (DL)-based branch-wise coronary artery calcium (CAC) scoring algorithm on a multi-centre dataset.: Methods and results: We retrospectively included 1171 patients referred for a CAC ... ...

    Abstract Aims: To present and validate a fully automated, deep learning (DL)-based branch-wise coronary artery calcium (CAC) scoring algorithm on a multi-centre dataset.
    Methods and results: We retrospectively included 1171 patients referred for a CAC computed tomography examination. Total CAC scores for each case were manually evaluated by a human reader. Next, each dataset was fully automatically evaluated by the DL-based software solution with output of the total CAC score and sub-scores per coronary artery (CA) branch [right coronary artery (RCA), left main (LM), left anterior descending (LAD), and circumflex (CX)]. Three readers independently manually scored the CAC for all CA branches for 300 cases from a single centre and formed the consensus using a majority vote rule, serving as the reference standard. Established CAC cut-offs for the total Agatston score were used for risk group assignments. The performance of the algorithm was evaluated using metrics for risk class assignment based on total Agatston score, and unweighted Cohen's Kappa for branch label assignment. The DL-based software solution yielded a class accuracy of 93% (1085/1171) with a sensitivity, specificity, and accuracy of detecting non-zero coronary calcium being 97%, 93%, and 95%. The overall accuracy of the algorithm for branch label classification was 94% (LM: 89%, LAD: 91%, CX: 93%, RCA: 100%) with a Cohen's kappa of k = 0.91.
    Conclusion: Our results demonstrate that fully automated total and vessel-specific CAC scoring is feasible using a DL-based algorithm. There was a high agreement with the manually assessed total CAC from a multi-centre dataset and the vessel-specific scoring demonstrated consistent and reproducible results.
    MeSH term(s) Calcium ; Coronary Angiography/methods ; Coronary Artery Disease/diagnostic imaging ; Coronary Vessels/diagnostic imaging ; Deep Learning ; Humans ; Retrospective Studies
    Chemical Substances Calcium (SY7Q814VUP)
    Language English
    Publishing date 2021-08-07
    Publishing country England
    Document type Journal Article ; Multicenter Study
    ZDB-ID 2638345-7
    ISSN 2047-2412 ; 2047-2404
    ISSN (online) 2047-2412
    ISSN 2047-2404
    DOI 10.1093/ehjci/jeab119
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 5614: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  4. Article ; Online: Ischemic burden and clinical outcome: is one 'culprit' ischemic segment by dobutamine stress magnetic resonance predictive?

    Giusca, Sorin / Kelle, Sebastian / Nagel, Eike / Buss, Sebastian Johannes / Puntmann, Valentina / Wellnhofer, Ernst / Fleck, Eckart / Katus, Hugo Albert / Korosoglou, Grigorios

    PloS one

    2014  Volume 9, Issue 12, Page(s) e115182

    Abstract: Aims: We sought to evaluate the impact of ischemic burden for the prediction of hard cardiac events (cardiac death or nonfatal myocardial infarction) in patients with known or suspected CAD who undergo dobutamine stress cardiac magnetic resonance ... ...

    Abstract Aims: We sought to evaluate the impact of ischemic burden for the prediction of hard cardiac events (cardiac death or nonfatal myocardial infarction) in patients with known or suspected CAD who undergo dobutamine stress cardiac magnetic resonance imaging (DCMR).
    Methods: We included 3166 patients (pts.), mean age 63 ± 12 years, 27% female, who underwent DCMR in 3 tertiary cardiac centres (University Hospital Heildelberg, German Heart Institute and Kings College London). Pts. were separated in groups based on the number of ischemic segments by wall motion abnormalities (WMA) as follows: 1. no ischemic segment, 2. one ischemic segment, 3. two ischemic segments and 4. ≥ three ischemic segments. Cardiac death and nonfatal myocardial infarction were registered as hard cardiac events. Pts. with an "early" revascularization procedure (in the first three months after DCMR) were not included in the final survival analysis.
    Results: Pts. were followed for a median of 3.1 years (iqr 2-4.5 years). 187 (5.9%) pts. experienced hard cardiac events. 2349 (74.2%) had no inducible ischemia, 189 (6%) had ischemia in 1 segment, 292 (9.2%) in 2 segments and 336 (10.6%) ≥ 3 segments. Patients with only 1 ischemic segment showed a high rate of hard cardiac events of ∼ 6% annually, which was 10-fold higher compared to those without ischemia (0.6% annually, p < 0.001) but similar to those with 2 and ≥ 3 ischemic segments (∼ 5.5% and ∼ 7%, p = NS).
    Conclusions: The presence of inducible ischemia even in a single 'culprit' myocardial segment during DCMR is enough to predict hard cardiac events in patients with known or suspected CAD.
    MeSH term(s) Cardiotonic Agents/administration & dosage ; Dobutamine/administration & dosage ; Echocardiography, Stress/methods ; Exercise Test/methods ; Female ; Humans ; London ; Magnetic Resonance Imaging, Cine/methods ; Male ; Middle Aged ; Myocardial Ischemia/diagnosis ; Predictive Value of Tests ; Risk Assessment/methods ; Risk Factors
    Chemical Substances Cardiotonic Agents ; Dobutamine (3S12J47372)
    Language English
    Publishing date 2014-12-17
    Publishing country United States
    Document type Comparative Study ; Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0115182
    Database MEDical Literature Analysis and Retrieval System OnLINE

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