Sebastian Harth

Dr. Sebastian Harth

University Hospital Gießen, Justus Liebig University, Gießen, Hesse, Germany
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Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 June 2015 in RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren
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FRFritz Roller
Fritz Roller
SHSebastian Harth
Sebastian Harth
CSC. Schneider
C. Schneider
GKG. A. Krombach
G. A. Krombach
Cardiac magnetic resonance imaging (CMRI) is a versatile diagnostic tool. One of its main advantages is the possibility of tissue characterization. T1-weighted images for scar and T2-weighted images for edema visualization are key methods for tissue characterization. Otherwise these sequences are strongly limited for the detection of diffuse myocardial pathologies. Recently, rapid technical innovations have generated new techniques. T1, T2 mapping and evaluation of the extracellular volume fraction (ECV) allow quantification of diffuse myocardial pathologies and showed great potential in the visualization of fibrosis, edema, amyloid, iron overload and lipid. In the future these techniques might enable the detection of early cardiac involvement, even act as a prognosticator. Moreover, therapy monitoring and follow-up might be possible due to versatile parameter quantification with these new techniques. Key points: • CMR allows for tissue characterization via T1- and T2-weighted sequences. • In cases of diffuse, global myocardial pathologies, correct image interpretation with traditional CMR sequences might be difficult. • T1, T2 mapping and ECV can quantify diffuse, global myocardial pathologies. • Alterations of myocardial T1 and T2 relaxation times occur in various myocardial diseases (e. g. acute myocarditis). • In the future mapping might act as a prognosticator or therapy monitoring tool. Citation Format: • Roller FC, Harth S, Schneider C et al. T1, T2 Mapping and Extracellular Volume Fraction (ECV): Application, Value and Further Perspectives in Myocardial Inflammation and Cardiomyopathies. Fortschr Röntgenstr 2015; 187: 760 – 770 Die kardiale Magnetresonanztomografie (MRT) ist eine sehr vielseitig einsetzbare diagnostische Modalität. Einer ihrer Hauptvorteile liegt in der Möglichkeit Gewebecharakterisierung zu betreiben. Bisher wurden standardmäßig vor allem T1-gewichtete Sequenzen zur Bildgebung von fokalen myokardialen Narben bzw. Schädigungen und T2-gewichtete Bilder für die Ödembildgebung genutzt. Andererseits sind diese Techniken insbesondere bei der Visualisierung von globalen myokardialen Veränderungen technisch bedingt stark limitiert. Aktuell entwickelte Techniken wie das T1- und das T2-Mapping oder auch die Bestimmung des „Extrazellulären Volumens“ ermöglichen uns hingegen eine Quantifizierung von globalen myokardialen Veränderungen und Pathologien wie bereits für Fibrose und Ödem aber auch für Amyloidose, Fett- bzw. Eisenspeichererkrankungen gezeigt werden konnte. Aufgrund der vielversprechenden Ergebnisse, ihrer Robustheit sowie einer Quantifizierung von T1- und T2-Zeiten erlauben uns diese Techniken in Zukunft eine Detektion von frühen Krankheitsstadien oder eignen sich darüber hinaus vielleicht auch für eine Therapiemonitoring und eine Prognoseabschätzung im Rahmen von Verlaufskontrollen. Kernaussagen: • Die kardiale MRT ermöglicht eine Gewebecharakterisierung mittels T1- und T2-gewichteten Sequenzen. • Bei globalen bzw. diffusen myokardialen Veränderungen sind diese Sequenzen jedoch limitiert und schränken die korrekte Bildinterpretation ein. • Im Gegensatz dazu ermöglichen T1-, T2-Mapping und ECV eine Quantifizierung globaler myokardialer Veränderungen. • Bei sehr vielen unterschiedlichen Erkrankungen konnten Veränderungen von T1 und T2 Relaxationszeiten gezeigt werden (z.B. Myokarditis) • Zukünftig könnte Mapping auch in der Prognose und im Therapiemonitoring eine bedeutende Rolle zukommen

3 March 2021 in American Journal of Physiology-Lung Cellular and Molecular Physiology
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Journal Article
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MRManuel J. Richter
Manuel J. Richter
SHSteven Hsu
Steven Hsu
AYAthiththan Yogeswaran
Athiththan Yogeswaran
FHFaeq Husain-Syed
Faeq Husain-Syed
IVIstván Vadász
István Vadász
KTKhodr Tello
Khodr Tello
Right ventricular (RV) function determines outcome in pulmonary arterial hypertension (PAH). RV pressure-volume loops, the gold standard for measuring RV function, are difficult to analyze. Our aim was to investigate whether simple assessments of RV pressure-volume loop morphology and RV systolic pressure differential reflect PAH severity and RV function. We analyzed multibeat RV pressure-volume loops (obtained by conductance catheterization with preload reduction) in 77 patients with PAH and 15 patients without pulmonary hypertension in two centers. Patients were categorized according to their pressure-volume loop shape (triangular, quadratic, trapezoid, or notched). RV systolic pressure differential was defined as end-systolic minus beginning-systolic pressure (ESP − BSP), augmentation index as ESP − BSP/pulse pressure, pulmonary arterial capacitance (PAC) as stroke volume/pulse pressure, and RV-arterial coupling as end-systolic/arterial elastance (Ees/Ea). Trapezoid and notched pressure-volume loops were associated with the highest afterload (Ea), augmentation index, pulmonary vascular resistance (PVR), mean pulmonary arterial pressure, stroke work, B-type natriuretic peptide, and the lowest Ees/Ea and PAC. Multivariate linear regression identified Ea, PVR, and stroke work as the main determinants of ESP − BSP. ESP − BSP also significantly correlated with multibeat Ees/Ea (Spearman’s ρ: −0.518, P < 0.001). A separate retrospective analysis of 113 patients with PAH showed that ESP − BSP obtained by routine right heart catheterization significantly correlated with a noninvasive surrogate of RV-arterial coupling (tricuspid annular plane systolic excursion/pulmonary arterial systolic pressure ratio; ρ: −0.376, P < 0.001). In conclusion, pressure-volume loop shape and RV systolic pressure differential predominately depend on afterload and PAH severity and reflect RV-arterial coupling in PAH.

16 April 2010 in Journal of Forensic Sciences
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Journal Article
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SHSebastian Harth
Sebastian Harth
MOMartin Obert
Martin Obert
FRFrank Ramsthaler
Frank Ramsthaler
CRChristina Reuß
Christina Reuß
HTHorst Traupe
Horst Traupe
MVMarcel A. Verhoff
Marcel A. Verhoff

15 January 2011 in International journal of legal medicine
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Journal Article
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CSChristina Schulte-Geers
Christina Schulte-Geers
MOMartin Obert
Martin Obert
RSRené L. Schilling
René L. Schilling
SHSebastian Harth
Sebastian Harth
HTHorst Traupe
Horst Traupe
MVMarcel A. Verhoff
Marcel A. Verhoff

1 April 2009 in Legal Medicine
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Journal Article
Closed access
SHSebastian Harth
Sebastian Harth
MOMartin Obert
Martin Obert
FRFrank Ramsthaler
Frank Ramsthaler
CRChristina Reuß
Christina Reuß
HTHorst Traupe
Horst Traupe
MVMarcel A. Verhoff
Marcel A. Verhoff

19 September 2025 in International Journal of Gynecology & Obstetrics
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Journal Article
Open access
RLRosa Lakabi
Rosa Lakabi
SHSebastian Harth
Sebastian Harth
Ivo Meinhold-HeerleinIvo Meinhold-Heerlein
Ivo Meinhold-Heerlein
AOAlisha V. Olsthoorn
Alisha V. Olsthoorn
MMMalcolm G. Munro
Malcolm G. Munro
AMAlly Murji
Ally Murji
Uterine fibroids, or leiomyomas, are benign uterine tumors with a lifetime prevalence of approximately 75%. While only a minority become symptomatic, their impact on quality of life remains profound owing to heavy menstrual bleeding, bulk symptoms, and reproductive dysfunction. Interestingly, fibroids are not reliably diagnosed on physical examination, nor can their impact be predicted through palpation. Consequently, the diagnosis and phenotypic categorization of uterine fibroids relies primarily on imaging to guide subsequent clinical management. Ultrasound should be the first‐line diagnostic modality, and magnetic resonance imaging should be reserved for complex cases and/or surgical planning. Adherence to standardized structured reporting across imaging modalities is critical to improve diagnostic accuracy, differentiate fibroids from conditions such as adenomyosis or malignancies, predict therapeutic responses, and plan surgical interventions. Imaging reports should follow the FIGO classification system for uterine fibroids, to enable a standardized description of their relationship to the endometrium, myometrium, and uterine serosa.