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  1. Book ; Thesis: In-vitro- und In-vivo-Evaluierung einer flußsensitiven MRT-Technik zur Untersuchung von angeborenen Herzfehlern

    Kühne, Titus

    1998  

    Author's details vorgelegt von Titus Kühne / vorgelegt von Titus Kühne
    Language German
    Size 116 Bl., Ill., graph. Darst., 30 cm
    Edition [Mikrofiche-Ausg.]
    Publishing country Germany
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Berlin, Humboldt-Univ., Diss., 1999
    HBZ-ID HT013105692
    Database Catalogue ZB MED Medicine, Health

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  2. Article: Deep learning based assessment of hemodynamics in the coarctation of the aorta: comparison of bidirectional recurrent and convolutional neural networks.

    Versnjak, Jakob / Yevtushenko, Pavlo / Kuehne, Titus / Bruening, Jan / Goubergrits, Leonid

    Frontiers in physiology

    2024  Volume 15, Page(s) 1288339

    Abstract: The utilization of numerical methods, such as computational fluid dynamics (CFD), has been widely established for modeling patient-specific hemodynamics based on medical imaging data. Hemodynamics assessment plays a crucial role in treatment decisions ... ...

    Abstract The utilization of numerical methods, such as computational fluid dynamics (CFD), has been widely established for modeling patient-specific hemodynamics based on medical imaging data. Hemodynamics assessment plays a crucial role in treatment decisions for the coarctation of the aorta (CoA), a congenital heart disease, with the pressure drop (PD) being a crucial biomarker for CoA treatment decisions. However, implementing CFD methods in the clinical environment remains challenging due to their computational cost and the requirement for expert knowledge. This study proposes a deep learning approach to mitigate the computational need and produce fast results. Building upon a previous proof-of-concept study, we compared the effects of two different artificial neural network (ANN) architectures trained on data with different dimensionalities, both capable of predicting hemodynamic parameters in CoA patients: a one-dimensional bidirectional recurrent neural network (1D BRNN) and a three-dimensional convolutional neural network (3D CNN). The performance was evaluated by median point-wise root mean square error (RMSE) for pressures along the centerline in 18 test cases, which were not included in a training cohort. We found that the 3D CNN (median RMSE of 3.23 mmHg) outperforms the 1D BRNN (median RMSE of 4.25 mmHg). In contrast, the 1D BRNN is more precise in PD prediction, with a lower standard deviation of the error (±7.03 mmHg) compared to the 3D CNN (±8.91 mmHg). The differences between both ANNs are not statistically significant, suggesting that compressing the 3D aorta hemodynamics into a 1D centerline representation does not result in the loss of valuable information when training ANN models. Additionally, we evaluated the utility of the synthetic geometries of the aortas with CoA generated by using a statistical shape model (SSM), as well as the impact of aortic arch geometry (gothic arch shape) on the model's training. The results show that incorporating a synthetic cohort obtained through the SSM of the clinical cohort does not significantly increase the model's accuracy, indicating that the synthetic cohort generation might be oversimplified. Furthermore, our study reveals that selecting training cases based on aortic arch shape (gothic
    Language English
    Publishing date 2024-02-21
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2564217-0
    ISSN 1664-042X
    ISSN 1664-042X
    DOI 10.3389/fphys.2024.1288339
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  3. Article: Modelling blood flow in patients with heart valve disease using deep learning: A computationally efficient method to expand diagnostic capabilities in clinical routine.

    Yevtushenko, Pavlo / Goubergrits, Leonid / Franke, Benedikt / Kuehne, Titus / Schafstedde, Marie

    Frontiers in cardiovascular medicine

    2023  Volume 10, Page(s) 1136935

    Abstract: Introduction: The computational modelling of blood flow is known to provide vital hemodynamic parameters for diagnosis and treatment-support for patients with valvular heart disease. However, most diagnosis/treatment-support solutions based on flow ... ...

    Abstract Introduction: The computational modelling of blood flow is known to provide vital hemodynamic parameters for diagnosis and treatment-support for patients with valvular heart disease. However, most diagnosis/treatment-support solutions based on flow modelling proposed utilize time- and resource-intensive computational fluid dynamics (CFD) and are therefore difficult to implement into clinical practice. In contrast, deep learning (DL) algorithms provide results quickly with little need for computational power. Thus, modelling blood flow with DL instead of CFD may substantially enhances the usability of flow modelling-based diagnosis/treatment support in clinical routine. In this study, we propose a DL-based approach to compute pressure and wall-shear-stress (WSS) in the aorta and aortic valve of patients with aortic stenosis (AS).
    Methods: A total of 103 individual surface models of the aorta and aortic valve were constructed from computed tomography data of AS patients. Based on these surface models, a total of 267 patient-specific, steady-state CFD simulations of aortic flow under various flow rates were performed. Using this simulation data, an artificial neural network (ANN) was trained to compute spatially resolved pressure and WSS using a centerline-based representation. An unseen test subset of 23 cases was used to compare both methods.
    Results: ANN and CFD-based computations agreed well with a median relative difference between both methods of 6.0% for pressure and 4.9% for wall-shear-stress. Demonstrating the ability of DL to compute clinically relevant hemodynamic parameters for AS patients, this work presents a possible solution to facilitate the introduction of modelling-based treatment support into clinical practice.
    Language English
    Publishing date 2023-03-03
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2781496-8
    ISSN 2297-055X
    ISSN 2297-055X
    DOI 10.3389/fcvm.2023.1136935
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  4. Article ; Online: Correction: Muscle sodium content in patients with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome.

    Petter, Elisabeth / Scheibenbogen, Carmen / Linz, Peter / Stehning, Christian / Wirth, Klaus / Kuehne, Titus / Kelm, Marcus

    Journal of translational medicine

    2023  Volume 21, Issue 1, Page(s) 243

    Language English
    Publishing date 2023-04-04
    Publishing country England
    Document type Published Erratum
    ZDB-ID 2118570-0
    ISSN 1479-5876 ; 1479-5876
    ISSN (online) 1479-5876
    ISSN 1479-5876
    DOI 10.1186/s12967-023-03948-4
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  5. Book ; Online: Cardiovascular MRI in congenital heart diseases

    Kühne, Titus

    Schlussbericht zum Vorhaben

    2012  

    Title variant Vorhaben: Cardiovascular MRI in congenital heart diseases
    Author's details Autor/Antragsteller: Titus Kühne
    Language German ; English
    Size Online-Ressource (PDF-Datei: 7 S., 67 KB)
    Publisher Technische Informationsbibliothek u. Universitätsbibliothek ; Dt. Herzzentrum Berlin
    Publishing place Hannover ; Berlin
    Document type Book ; Online
    Note Text dt. - Zsfassung in dt. u. engl. Sprache ; Förderkennzeichen BMBF 01EV0704 ; Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden
    Database Library catalogue of the German National Library of Science and Technology (TIB), Hannover

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  6. Article ; Online: Muscle sodium content in patients with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome.

    Petter, Elisabeth / Scheibenbogen, Carmen / Linz, Peter / Stehning, Christian / Wirth, Klaus / Kuehne, Titus / Kelm, Marcus

    Journal of translational medicine

    2022  Volume 20, Issue 1, Page(s) 580

    Abstract: Background: Muscle fatigue and pain are key symptoms of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS). Although the pathophysiology is not yet fully understood, there is ample evidence for hypoperfusion which may result in electrolyte ... ...

    Abstract Background: Muscle fatigue and pain are key symptoms of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS). Although the pathophysiology is not yet fully understood, there is ample evidence for hypoperfusion which may result in electrolyte imbalance and sodium overload in muscles. Therefore, the aim of this study was to assess levels of sodium content in muscles of patients with ME/CFS and to compare these to healthy controls.
    Methods: Six female patients with ME/CFS and six age, BMI and sex matched controls underwent
    Results: Baseline tissue sodium content was higher in all 5 lower leg muscle compartments in ME/CFS compared to controls. Within the anterior extensor muscle compartment, the highest difference in baseline muscle sodium content between ME/CFS and controls was found (mean ± SD; 12.20 ± 1.66 mM in ME/CFS versus 9.38 ± 0.71 mM in controls, p = 0.0034). Directly after exercise, tissue sodium content increased in gastrocnemius and triceps surae muscles with + 30% in ME/CFS (p = 0.0005) and + 24% in controls (p = 0.0007) in the medial gastrocnemius muscle but not in the extensor muscles which were not exercised. Compared to baseline, the increase of sodium content in medial gastrocnemius muscle was stronger in ME/CFS than in controls with + 30% versus + 17% to baseline at 12 min (p = 0.0326) and + 29% versus + 16% to baseline at 15 min (p = 0.0265). Patients had reduced average handgrip strength which was associated with increased average muscle tissue sodium content (p = 0.0319, R
    Conclusion: Muscle sodium content before and after exercise was higher in ME/CFS than in healthy controls. Furthermore, our findings indicate an inverse correlation between muscle sodium content and handgrip strength. These findings provide evidence that sodium overload may play a role in the pathophysiology of ME/CFS and may allow for potential therapeutic targeting.
    MeSH term(s) Humans ; Female ; Fatigue Syndrome, Chronic ; Hand Strength ; Sodium ; Muscle, Skeletal ; Magnetic Resonance Imaging
    Chemical Substances Sodium (9NEZ333N27)
    Language English
    Publishing date 2022-12-09
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2118570-0
    ISSN 1479-5876 ; 1479-5876
    ISSN (online) 1479-5876
    ISSN 1479-5876
    DOI 10.1186/s12967-022-03616-z
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  7. Article ; Online: CT-based comparison of porcine, ovine, and human pulmonary arterial morphometry.

    Goubergrits, Leonid / Schafstedde, Marie / Cesarovic, Nikola / Szengel, Angelika / Schmitt, Boris / Wiegand, Moritz / Romberg, Jan / Arndt, Andreas / Kuehne, Titus / Brüning, Jan

    Scientific reports

    2023  Volume 13, Issue 1, Page(s) 20211

    Abstract: To facilitate pre-clinical animal and in-silico clinical trials for implantable pulmonary artery pressure sensors, understanding the respective species pulmonary arteries (PA) anatomy is important. Thus, morphological parameters describing PA of pigs and ...

    Abstract To facilitate pre-clinical animal and in-silico clinical trials for implantable pulmonary artery pressure sensors, understanding the respective species pulmonary arteries (PA) anatomy is important. Thus, morphological parameters describing PA of pigs and sheep, which are common animal models, were compared with humans. Retrospective computed tomography data of 41 domestic pigs (82.6 ± 18.8 kg), 14 sheep (49.1 ± 6.9 kg), and 49 patients (76.8 ± 18.2 kg) were used for reconstruction of the subject-specific PA anatomy. 3D surface geometries including main, left, and right PA as well as LPA and RPA side branches were manually reconstructed. Then, specific geometric parameters (length, diameters, taper, bifurcation angle, curvature, and cross-section enlargement) affecting device implantation and post-interventional device effect and efficacy were automatically calculated. For both animal models, significant differences to the human anatomy for most geometric parameters were found, even though the respective parameters' distributions also featured relevant overlap. Out of the two animal models, sheep seem to be better suitable for a preclinical study when considering only PA morphology. Reconstructed geometries are provided as open data for future studies. These findings support planning of preclinical studies and will help to evaluate the results of animal trials.
    MeSH term(s) Humans ; Sheep ; Animals ; Swine ; Pulmonary Artery/diagnostic imaging ; Pulmonary Artery/anatomy & histology ; Retrospective Studies ; Tomography, X-Ray Computed ; Sus scrofa ; Hypertrophy
    Language English
    Publishing date 2023-11-18
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-023-47532-8
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  8. Book: Cardiovascular MRI in congenital heart diseases

    Kühne, Titus

    Schlussbericht zum Vorhaben

    2012  

    Title variant Vorhaben: Cardiovascular MRI in congenital heart diseases
    Author's details [Autor]/Antragsteller: Titus Kühne
    Language German ; English
    Size 5, [4] Bl.
    Publisher Dt. Herzzentrum Berlin
    Publishing place Berlin
    Document type Book
    Note Text dt. - Zsfassung in dt. u. engl. Sprache ; Förderkennzeichen BMBF 01EV0704 ; Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden
    Database Library catalogue of the German National Library of Science and Technology (TIB), Hannover

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  9. Article ; Online: COVID-19-convalescence phase unmasks a silent myocardial infarction due to coronary plaque rupture.

    Tschöpe, Carsten / Sherif, Mohammad / Anker, Markus S / Geisel, Dominik / Kuehne, Titus / Kelle, Sebastian

    ESC heart failure

    2021  Volume 8, Issue 2, Page(s) 971–973

    Abstract: Increased risk of cardiovascular complications during and post-COVID-19 infection is more and more recognized-including myocarditis, arrhythmias, and myocardial infarctions (MIs). The mechanisms leading to these complications are direct virus-induced ... ...

    Abstract Increased risk of cardiovascular complications during and post-COVID-19 infection is more and more recognized-including myocarditis, arrhythmias, and myocardial infarctions (MIs). The mechanisms leading to these complications are direct virus-induced injuries, as well as potential thrombotic and inflammatory-induced mechanisms. To the latter, inflammatory plaque instability and plaque rupture are discussed entities contributing to MI-induced post-COVID-19 complications. Our case report describes the first time, when a temporary impairment of LVEF in the COVID-19-convalescence phase unmasks a silent MI due to coronary plaque rupture by using invasive (OCT) and non-invasive (CMR) modalities. Myocardial infarction might be an important differential diagnosis to consider in deteriorating patients with COVID-19, especially if dyspnoea persists after acute infection.
    MeSH term(s) Aged ; COVID-19/complications ; Convalescence ; Humans ; Male ; Myocardial Infarction/diagnosis ; Myocardial Infarction/etiology ; Myocardial Infarction/therapy ; Plaque, Atherosclerotic/diagnosis ; Plaque, Atherosclerotic/etiology ; Plaque, Atherosclerotic/therapy ; Stroke Volume
    Language English
    Publishing date 2021-01-06
    Publishing country England
    Document type Case Reports ; Journal Article
    ZDB-ID 2814355-3
    ISSN 2055-5822 ; 2055-5822
    ISSN (online) 2055-5822
    ISSN 2055-5822
    DOI 10.1002/ehf2.13186
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  10. Article: Midwall Fibrosis and Cardiac Mechanics: Rigid Body Rotation Is a Novel Marker of Disease Severity in Pediatric Primary Dilated Cardiomyopathy.

    Al-Wakeel-Marquard, Nadya / Seidel, Franziska / Kühnisch, Jirko / Kuehne, Titus / Berger, Felix / Messroghli, Daniel R / Klaassen, Sabine

    Frontiers in cardiovascular medicine

    2022  Volume 8, Page(s) 810005

    Abstract: Background: Midwall fibrosis (MWF) detected by late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) predicts adverse outcome in adults with dilated cardiomyopathy (DCM). Its relevance in children and adolescents is relatively ... ...

    Abstract Background: Midwall fibrosis (MWF) detected by late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) predicts adverse outcome in adults with dilated cardiomyopathy (DCM). Its relevance in children and adolescents is relatively unknown. Left ventricular (LV) strain, rotation and twist are important parameters of cardiac function; yet, their role in pediatric heart failure is understudied. This study aimed to evaluate MWF and cardiac mechanics in pediatric DCM.
    Methods: Patients ≤21 years with primary DCM were prospectively enrolled and underwent standardized CMR including LGE. All participants were categorized according to the presence or absence of MWF (MWF+ vs. MWF-). Cardiac mechanics were assessed using CMR feature tracking. Impaired LV twist with apex and base rotating in the same direction was termed rigid body rotation (RBR).
    Results: In total, 17 patients (median age 11.2 years) were included. MWF was present in seven patients (41%). Median N-terminal pro brain natriuretic peptide (NT-proBNP) was higher (5,959 vs. 242 pg/ml,
    Conclusions: MWF was common, but failed to predict heart failure. RBR was associated with clinical and biventricular functional signs of heart failure as well as the occurrence of adverse events. Our findings suggest that RBR may predict outcomes and may serve as a novel marker of disease severity in pediatric DCM.
    Language English
    Publishing date 2022-02-17
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2781496-8
    ISSN 2297-055X
    ISSN 2297-055X
    DOI 10.3389/fcvm.2021.810005
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