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Objective: Evidence determining the optimal treatment for cardiac tumors is rare. We report our midterm clinical outcome and patient characteristics of our series undergoing atrial tumor removal through a right lateral minithoracotomy (RLMT).Methods: From 2015 to 2021, 51 patients underwent RLMT for atrial tumor extirpation. Patients receiving concomitant atrioventricular valvular, cryoablation, and/or patent foramen ovale closure surgery were included. Follow-up was performed using standardized questionnaires (mean: 1,041 ± 666 days). Follow-up involved any tumor recurrence, clinical symptoms, and any recurrent arterial embolization. Survival analysis was successfully achieved in all patients.Results: Successful surgical resection was achieved in all patients. Mean cardiopulmonary bypass and cross-clamping times were 75 ± 36 and 41 ± 22 min, respectively. The most common tumor location was the left atrium (n= 42, 82.4%). Mean ventilation time was 12.74 ± 17.23 h, intensive care unit stay ranged from 1 to 1.9 days (median: 1 day). Nineteen patients (37.3%) received concomitant surgery. Histopathological analysis showed 38 myxoma (74.5%), 9 papillary fibroelastoma (17.6%), and 4 thrombus (7.8%). Thirty-day mortality was observed in 1 case (2%). One patient (2%) suffered a stroke postoperatively. No patient had a relapse of cardiac tumor. Three patients (9.7%) showed arterial embolization during follow-up. Thirteen follow-up patients (25.5%) were in New York Heart Association class ≤II. Overall survival was 90.2% at 2 years.Conclusions: A minimally invasive approach for benign atrial tumor resection is effective, safe, and reproducible. Of the atrial tumors, 74.5% were myxoma and 82% were located in the left atrium. A low 30-day mortality rate with no manifestation of recurrent intracardiac tumor was observed.

Purpose: Numerical phantom methods are widely used in the development of medical imaging methods. They enable quantitative evaluation and direct comparison with controlled and known ground truth information. Cardiac magnetic resonance has the potential for a comprehensive evaluation of the mitral valve (MV). The goal of this work is the development of a numerical simulation framework that supports the investigation of MRI imaging strategies for the mitral valve. Methods: We present a pipeline for synthetic image generation based on the combination of individual anatomical 3D models with a position-based dynamics simulation of the mitral valve closure. The corresponding images are generated using modality-specific intensity models and spatiotemporal sampling concepts. We test the applicability in the context of MRI imaging strategies for the assessment of the mitral valve. Synthetic images are generated with different strategies regarding image orientation (SAX and rLAX) and spatial sampling density. Results: The suitability of the imaging strategy is evaluated by comparing MV segmentations against ground truth annotations. The generated synthetic images were compared to ones acquired with similar parameters, and the result is promising. The quantitative analysis of annotation results suggests that the rLAX sampling strategy is preferable for MV assessment, reaching accuracy values that are comparable to or even outperform literature values. Conclusion: The proposed approach provides a valuable tool for the evaluation and optimization of cardiac valve image acquisition. Its application to the use case identifies the radial image sampling strategy as the most suitable for MV assessment through MRI.

Objective: Venous drainage is often problematic in minimally invasive cardiac surgery (MICS). Here, we describe our experience with a self-expandable stent cannula designed to optimize venous drainage.Methods: The smart canula®was used in 58 consecutive patients undergoing MICS for mitral valve disease (n= 40), left atrial myxoma (n= 3), left ventricular outflow tract obstruction (n= 1), and aortic valve replacement via a right anterior minithoracotomy (n= 14) procedures. The venous cannula was placed under transesophageal echocardiography guidance to reach the superior vena cava. Vacuum-assisted venous drainage (between −20 and −35 mm Hg) was used to reach a target flow index of 2.2 L/min/m² at a core temperature of 34 °C using a goal-directed perfusion strategy aimed at a minimum DO2of 272 mL/min/m2. Cardiopulmonary bypass (CPB) parameters were recorded, and hemolysis-related parameters were analyzed on postoperative days 1 to 7.Results: Mean body surface area and median body mass index were 1.9 ± 0.2 m2and 25.2 (23.4, 30.2) kg/m2. Mean CPB and median cross-clamping times were 107.7 ± 24.4 min and 64.5 (53, 75.8) min, and median CPB flow during cardioplegic arrest was 4 (3.6, 4.2) L/min (median cardiac index 2.1 [2, 2.2] L/min/m²). Venous drainage was considered sufficient by the surgeon in all cases, and insertion and removal were uncomplicated. Mean SvO2during CPB was 80.2% ± 5.5%, and median peak lactate was 10 (8, 14) mg/dL, indicating sufficient perfusion. Mean venous negative drainage pressure during cross-clamping was 27.2 ± 12.3 mm Hg. Platelets dropped by 73.6 ± 37.5 K/µL, lactate dehydrogenase rose by 81.5 (44.3, 140.8) U/L, and leukocytes rose by 3.4 (2.2, 7.2) K/µL on postoperative day 1.Conclusions: The venous smart canula®allows for optimal venous drainage at low negative drainage pressures, facilitating sufficient perfusion in MICS.

Purpose: Careful assessment of the aortic root is paramount to select an appropriate prosthesis for transcatheter aortic valve implantation (TAVI). Relevant information about the aortic root anatomy, such as the aortic annulus diameter, can be extracted from pre-interventional CT. In this work, we investigate a neural network-based approach for segmenting the aortic root as a basis for obtaining these parameters. Methods: To support valve prosthesis selection, geometric measures of the aortic root are extracted from the patient’s CT scan using a cascade of convolutional neural networks (CNNs). First, the image is reduced to the aortic root, valve, and left ventricular outflow tract (LVOT); within that subimage, the aortic valve and ascending aorta are segmented; and finally, the region around the aortic annulus. From the segmented annulus region, we infer the annulus orientation using principal component analysis (PCA). The area-derived diameter of the annulus is approximated based on the segmentation of the aortic root and LVOT and the plane orientation resulting from the PCA. Results: The cascade of CNNs was trained using 90 expert-annotated contrast-enhanced CT scans routinely acquired for TAVI planning. Segmentation of the aorta and valve within the region of interest achieved an F1 score of 0.94 on the test set of 36 patients. The area-derived diameter within the annulus region was determined with a mean error below 2 mm between the automatic measurement and the diameter derived from annotations. The calculated diameters and resulting errors are comparable to published results of alternative approaches. Conclusions: The cascaded neural network approach enabled the assessment of the aortic root with a relatively small training set. The processing time amounts to 30 s per patient, facilitating time-efficient, reproducible measurements. An extended training data set, including different levels of calcification or special cases (e.g., pre-implanted valves), could further improve this method’s applicability and robustness.

Supplemental Digital Content is available in the text.Left ventricular end-diastolic volume (EDV) is an important parameter for monitoring patients with left ventricular assist devices (LVADs) and might be useful for automatic LVAD work adaptation. However, continuous information on the EDV is unavailable to date. The depolarization amplitude (DA) of the noncontact intracardiac electromyogram (iEMG) is physically related to the EDV. Here, we show how a left ventricular (LV) volume sensor based on the iEMG might provide beat-wise EDV estimates. The study was performed in six pigs while undergoing a series of controlled changes in hemodynamic states. The LV volume sensor consisted of four conventional pacemaker electrodes measuring the far-field iEMG inside the LV blood pool, using a novel unipolar amplifier. Simultaneously, noninvasive measurements of EDV and hematocrit were recorded. The proposed EDV predictor was tested for statistical significance using a mixed-effect model and associated confidence intervals. A statistically significant (p= 3e–07) negative correlation was confirmed between the DA of the iEMG and the EDV as measured by electric impedance at a slope of –0.069 (–0.089, –0.049) mV/mL. The DA was slightly decreased by increased hematocrit (p= 0.039) and moderately decreased with the opening of the thorax (p= 0.003). The DA of the iEMG proved to be a significant, independent predictor of EDV. The proposed LV volume sensor is simple to integrate into the inflow cannula of an LVAD and thus has the potential to inform the clinician about the state of LV volume in real time and to automatically control the LVAD.

Objective An accepted landmark to assess feasibility of surgical aortic valve replacement (SAVR) via right anterolateral minithoracotomy (RALT) is the aortic-midpoint to right-sternal-edge distance. We aimed to evaluate single left lung positive-end-expiratory-pressure (SLL-PEEP) ventilation inducing an intraoperative rightward shift of the ascending aorta to improve exposure.Methods Nineteen patients with aortic stenosis undergoing SAVR via RALT were prospectively analyzed. SLL-PEEP ventilation (20,395 cmH2O) via a double-lumen endotracheal tube was applied immediately before transthoracic aortic cross-clamping, thereby inducing rightward shift of the ascending aorta to enhance exposure. We analyzed preoperative computed tomography (CT) reconstructions and intraoperative video recordings. Primary endpoint was extent of rightward shift induced by SLL-PEEP ventilation; secondary endpoints were procedure times and safety events.Results Mean age was 61 ± 14.8 years and 6 of 19 (31.6%) were female. Mean EuroSCORE II was 0.81% ± 0.04%, STS-PROM was 1.13% ± 0.74%, and mean aortic rightward shift induced by SLL-PEEP ventilation was 10.32 ± 4.14 mm (4 to 17 mm; P= 0.003). Median shift in the group considered suitable for the RALT approach by preoperative CT-scan evaluation was 14.2 mm (IQR 11) and in the less suitable group 11.5 mm (IQR 5). Mean procedure time was 167 ± 28.9 min, CPB time was 105.7 ± 18.4 min, and cross-clamp time was 64.5 ± 13 min. Fifteen patients (79%) received SAVR via RALT with implantation of a bioprosthesis, whereas a rapid-deployment-prosthesis was used in 4 patients (21%). Ten of 19 (53%) patients who were classified as less suitable preoperatively received SAVR via RALT after SLL-PEEP ventilation. No strokes were observed.Conclusions The SLL-PEEP ventilation maneuver during SAVR via RALT significantly enhances aortic exposure. There were no safety events associated with this maneuver and we were able to demonstrate significant rightward aortic shift in every single patient.

Purpose: Decision support systems for mitral valve disease are an important step toward personalized surgery planning. A simulation of the mitral valve apparatus is required for decision support. Building a model of the chordae tendineae is an essential component of a mitral valve simulation. Due to image quality and artifacts, the chordae tendineae cannot be reliably detected in medical imaging. Methods: Using the position-based dynamics framework, we are able to realistically simulate the opening and closing of the mitral valve. Here, we present a heuristic method for building an initial chordae model needed for a successful simulation. In addition to the heuristic, we present an interactive editor to refine the chordae model and to further improve pathology reproduction as well as geometric approximation of the closed valve. Results: For evaluation, five mitral valves were reconstructed based on image sequences of patients scheduled for mitral valve surgery. We evaluated the approximation of the closed valves using either just the heuristic chordae model or a manually refined model. Using the manually refined models, prolapse was correctly reproduced in four of the five cases compared to two of the five cases when using the heuristic. In addition, using the editor improved the approximation in four cases. Conclusions: Our approach is suitable to create realistically parameterized mitral valve apparatus reconstructions for the simulation of normally and abnormally closing valves in a decision support system.

Purpose: For planning and guidance of minimally invasive mitral valve repair procedures, 3D+t transesophageal echocardiography (TEE) sequences are acquired before and after the intervention. The valve is then visually and quantitatively assessed in selected phases. To enable a quantitative assessment of valve geometry and pathological properties in all heart phases, as well as the changes achieved through surgery, we aim to provide a new 4D segmentation method. Methods: We propose a tracking-based approach combining gradient vector flow (GVF) and position-based dynamics (PBD). An open-state surface model of the valve is propagated through time to the closed state, attracted by the GVF field of the leaflet area. The PBD method ensures topological consistency during deformation. For evaluation, one expert in cardiac surgery annotated the closed-state leaflets in 10 TEE sequences of patients with normal and abnormal mitral valves, and defined the corresponding open-state models. Results: The average point-to-surface distance between the manual annotations and the final tracked model was \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$1.00\,\hbox {mm} \pm 1.08\,\hbox {mm}$$\end{document}. Qualitatively, four cases were satisfactory, five passable and one unsatisfactory. Each sequence could be segmented in 2–6 min. Conclusion: Our approach enables to segment the mitral valve in 4D TEE image data with normal and pathological valve closing behavior. With this method, in addition to the quantification of the remaining orifice area, shape and dimensions of the coaptation zone can be analyzed and considered for planning and surgical result assessment.

Purpose: While novel tools for segmentation of the mitral valve are often based on automatic image processing, they mostly require manual interaction by a proficient user. Those segmentations are essential for numerical support of mitral valve treatment using computational fluid dynamics, where the reconstructed geometry is incorporated into a simulation domain. To quantify the uncertainty and reliability of hemodynamic simulations, it is crucial to examine the influence of user-dependent variability in valve segmentation. Methods: Previously, the inter-user variability of landmarks in mitral valve segmentation was investigated. Here, the inter-user variability of geometric parameters of the mitral valve, projected orifice area (OA) and projected annulus area (AA), is investigated for 10 mitral valve geometries, each segmented by three users. Furthermore, the propagation of those variations into numerically calculated hemodynamics, i.e., the blood flow velocity, was investigated. Results: Among the three geometric valve parameters, AA was least user-dependent. Almost all deviations to the mean were below 10%. Larger variations were observed for OA. Variations observed for the numerically calculated hemodynamics were in the same order of magnitude as those of geometric parameters. No correlation between variation of geometric parameters and variation of calculated hemodynamic parameters was found. Conclusion: Errors introduced due to the user-dependency were of the same size as the variations of calculated hemodynamics. The variation was thereby of the same scale as deviations in clinical measurements of blood flow velocity using Doppler echocardiography. Since no correlation between geometric and hemodynamic uncertainty was found, further investigation of the complex relationship between anatomy, leaflet shape and flow is necessary.

Purpose: Various options are available for the treatment of mitral valve insufficiency, including reconstructive approaches such as annulus correction through ring implants. The correct choice of general therapy and implant is relevant for an optimal outcome. Additional to guidelines, decision support systems (DSS) can provide decision aid by means of virtual intervention planning and predictive simulations. Our approach on virtual downsizing is one of the virtual intervention tools that are part of the DSS workflow. It allows for emulating a ring implantation based on patient-specific lumen geometry and vendor-specific implants. Methods: Our approach is fully automatic and relies on a lumen mask and an annulus contour as inputs. Both are acquired from previous DSS workflow steps. A virtual surface- and contour-based model of a vendor-specific ring design (26–40 mm) is generated. For each case, the ring geometry is positioned with respect to the original, patient-specific annulus and additional anatomical landmarks. The lumen mesh is parameterized to allow for a vertex-based deformation with respect to the user-defined annulus. Derived from post-interventional observations, specific deformation schemes are applied to atrium and ventricle and the lumen mesh is altered with respect to the ring location. Results: For quantitative evaluation, the surface distance between the deformed lumen mesh and segmented post-operative echo lumen close to the annulus was computed for 11 datasets. The results indicate a good agreement. An arbitrary subset of six datasets was used for a qualitative evaluation of the complete lumen. Two domain experts compared the deformed lumen mesh with post-interventional echo images. All deformations were deemed plausible. Conclusion: Our approach on virtual downsizing allows for an automatic creation of plausible lumen deformations. As it takes only a few seconds to generate results, it can be added to a virtual intervention toolset without unnecessarily increasing the pipeline complexity.

The large amount of clinical signals in intensive care units can easily overwhelm health-care personnel and can lead to treatment delays, suboptimal care, or clinical errors. The aim of this study was to apply deep machine learning methods to predict severe complications during critical care in real time after cardiothoracic surgery.

The importance of mitral valve therapies is rising due to an aging population. Visualization and quantification of the valve anatomy from image acquisitions is an essential component of surgical and interventional planning. The segmentation of the mitral valve from computed tomography (CT) acquisitions is challenging due to high variation in appearance and visibility across subjects. We present a novel semi-automatic approach to segment the open-state valve in 3D CT volumes that combines user-defined landmarks to an initial valve model which is automatically adapted to the image information, even if the image data provide only partial visibility of the valve. Context information and automatic view initialization are derived from segmentation of the left heart lumina, which incorporates topological, shape and regional information. The valve model is initialized with user-defined landmarks in views generated from the context segmentation and then adapted to the image data in an active surface approach guided by landmarks derived from sheetness analysis. The resulting model is refined by user landmarks. For evaluation, three clinicians segmented the open valve in 10 CT volumes of patients with mitral valve insufficiency. Despite notable differences in landmark definition, the resulting valve meshes were overall similar in appearance, with a mean surface distance of $$1.62 \pm 2.10$$ 1.62±2.10 mm. Each volume could be segmented in 5–22 min. Our approach enables an expert user to easily segment the open mitral valve in CT data, even when image noise or low contrast limits the visibility of the valve.

Severe mitral valve regurgitation can either be treated by a replacement or a repair of the valve. The latter is recommended due to lower perioperative mortality and better long-term survival. On the other hand, recurrence rates after mitral valve repair are high compared to those after replacements and the repair intervention can cause induced mitral valve stenosis. So far, there are no methods to predict the hemodynamic outcome of a chosen treatment or to compare different treatment options in advance. To overcome this, diastolic mitral valve hemodynamics are simulated using computational fluid dynamics after different virtual treatments of the valve. The left ventricular geometry of one patient was reconstructed using trans-esophageal echocardiography and computed tomography data. Pre-op hemodynamics are simulated using a referenced wall model to avoid expansive modeling of wall motion. Subsequently, the flow structures are compared to in vivo measurements. After manipulating the patient-specific geometry in order to mimic a restrictive mitral annuloplasty as well as a MitraClip intervention, hemodynamics results are calculated. Good agreements exist between calculated pre-op hemodynamics and in vivo measurements. The virtual annuloplasty did not result in any remarkable change of hemodynamics. Neither the pressure drop nor the velocity field showed strong differences. In contrast, the virtual MitraClip intervention led to a complete change in blood flow structures as well as an elevated pressure drop across the valve. The presented approach allows fast simulation of the diastolic hemodynamic situation before and after treatment of a mitral valve insufficiency. However, this approach is limited to the early diastolic phase of the cardiac cycle and needs to be validated using a larger sample size.

Patient-specific models become increasingly important in cardiovascular research as they allow prediction of surgical procedures. While the left ventricular outflow profile is an essential boundary condition, it remains unknown before treatment takes place. To overcome this problem, hemodynamics after virtual valve replacement were calculated based on different inlet profiles at the left ventricular outflow tract: a generic plug profile and a profile derived from 4D-flow-MRI. Spatially averaged parameters within the aorta were not significantly altered using either profile. A generic profile might be sufficient for the prediction of hemodynamics, circumventing the problem of predicting change in patient-specific boundary conditions. [ABSTRACT FROM AUTHOR]

Objective The term frailty is frequently used during decision-making in transcatheter heart valve procedures. Nevertheless, frailty is still measured by eyeballing rather than by using standardized frailty assessments. In a previous study, we developed a frailty score in a cardiac surgical patient population including patients, who underwent transcatheter aortic valve replacement (TAVR). Here, we present the results from the subsequent validation study focusing on the TAVR cohort.Methods One hundred thirty patients underwent TAVR. Frailty assessment using the FORECAST (Frailty predicts death One yeaR after Elective CArdiac Surgery Test) was performed. The European System for Cardiac Operative Risk Evaluation and The Society of Thoracic Surgeons (STS) score were assessed as well. Follow-up included assessment of in-hospital and 30-day mortality and morbidity and quality of life using the Short Form-36 questionnaire.Results Mean age was 83.3 years, and 50% were female. Logistic European System for Cardiac Operative Risk Evaluation was 14.9 ± 8.7%, and STS score was 5.1 ± 3.4%. Mean ± standard deviation FORECAST score was 4.8 ± 3.3 points of 15. In-hospital and 30-day mortality were 6.9% and 7.7%, respectively. Thirty-day Short Form-36 assessment showed a decrease in quality of life in five of ten items after the intervention. Receiver operating characteristic curves showed that the FORECAST is a valid tool to predict in-hospital mortality (area under the receiver operating characteristic curve, 0.73). By combining the FORECAST and the STS score, this effect was even higher (area under the receiver operating characteristic curve, 0.77; P = 0.021). Stratifying the patients according to the FORECAST score showed best survival in the lowest frailty group.Conclusions The FORECAST is a valid tool to assess frailty in TAVR patients. The FORECAST is easily assessable and can be included in daily clinical routine.

Objective The term frailty is frequently used during decision-making in transcatheter heart valve procedures. Nevertheless, frailty is still measured by eyeballing rather than by using standardized frailty assessments. In a previous study, we developed a frailty score in a cardiac surgical patient population including patients, who underwent transcatheter aortic valve replacement (TAVR). Here, we present the results from the subsequent validation study focusing on the TAVR cohort.Methods One hundred thirty patients underwent TAVR. Frailty assessment using the FORECAST (Frailty predicts death One yeaR after Elective CArdiac Surgery Test) was performed. The European System for Cardiac Operative Risk Evaluation and The Society of Thoracic Surgeons (STS) score were assessed as well. Follow-up included assessment of in-hospital and 30-day mortality and morbidity and quality of life using the Short Form-36 questionnaire.Results Mean age was 83.3 years, and 50% were female. Logistic European System for Cardiac Operative Risk Evaluation was 14.9 ± 8.7%, and STS score was 5.1 ± 3.4%. Mean ± standard deviation FORECAST score was 4.8 ± 3.3 points of 15. In-hospital and 30-day mortality were 6.9% and 7.7%, respectively. Thirty-day Short Form-36 assessment showed a decrease in quality of life in five of ten items after the intervention. Receiver operating characteristic curves showed that the FORECAST is a valid tool to predict in-hospital mortality (area under the receiver operating characteristic curve, 0.73). By combining the FORECAST and the STS score, this effect was even higher (area under the receiver operating characteristic curve, 0.77; P = 0.021). Stratifying the patients according to the FORECAST score showed best survival in the lowest frailty group.Conclusions The FORECAST is a valid tool to assess frailty in TAVR patients. The FORECAST is easily assessable and can be included in daily clinical routine.

A 58-year-old white male with a history of stroke and deep vein thrombosis presented with an interatrial intraseptal mass. Cardiac-computed tomography demonstrated a thin-walled, well-demarcated cyst in the inferior border of the fossa ovalis protruding into both atria. Removal of the interatrial intraseptal cyst was performed using a minimally invasive three-dimensional endoscopic periareolar approach.

A 58-year-old white male with a history of stroke and deep vein thrombosis presented with an interatrial intraseptal mass. Cardiac-computed tomography demonstrated a thin-walled, well-demarcated cyst in the inferior border of the fossa ovalis protruding into both atria. Removal of the interatrial intraseptal cyst was performed using a minimally invasive three-dimensional endoscopic periareolar approach.

Objective We tested the hypothesis that simulated three-dimensional prosthesis overlay procedure planning may support valve selection in transcatheter aortic valve implantation (TAVI) procedures.Methods Preoperative multidimensional computed tomography (MDCT) data sets from 81 consecutive TAVI patients were included in the study. A planning tool was developed, which semiautomatically creates a three-dimensional model of the aortic root from these data. Three-dimensional templates of the commonly used TAVI implants are spatially registered with the patient data and presented as graphic overlay. Fourteen physicians used the tool to perform retrospective planning of TAVI procedures. Results of prosthesis sizing were compared with the prosthesis size used in the actually performed procedure, and the patients were accordingly divided into three groups: those with equal size (concordance with retrospective planning), oversizing (retrospective planning of a smaller prosthesis), and undersizing (retrospective planning of a larger prosthesis).Results In the oversizing group, 85% of the patients had new pacemaker implantation. In the undersizing group, in 66%, at least mild paravalvular leakage was observed (greater than grade 1 in one third of the cases). In 46% of the patients in the equal-size group, neither of these complications was observed.Conclusions Three-dimensional prosthesis overlay in MDCT-derived patient data for patient-specific planning of TAVI procedures is feasible. It may improve valve selection compared with two-dimensional MDCT planning and thus yield better outcomes.

Objective We tested the hypothesis that simulated three-dimensional prosthesis overlay procedure planning may support valve selection in transcatheter aortic valve implantation (TAVI) procedures.Methods Preoperative multidimensional computed tomography (MDCT) data sets from 81 consecutive TAVI patients were included in the study. A planning tool was developed, which semiautomatically creates a three-dimensional model of the aortic root from these data. Three-dimensional templates of the commonly used TAVI implants are spatially registered with the patient data and presented as graphic overlay. Fourteen physicians used the tool to perform retrospective planning of TAVI procedures. Results of prosthesis sizing were compared with the prosthesis size used in the actually performed procedure, and the patients were accordingly divided into three groups: those with equal size (concordance with retrospective planning), oversizing (retrospective planning of a smaller prosthesis), and undersizing (retrospective planning of a larger prosthesis).Results In the oversizing group, 85% of the patients had new pacemaker implantation. In the undersizing group, in 66%, at least mild paravalvular leakage was observed (greater than grade 1 in one third of the cases). In 46% of the patients in the equal-size group, neither of these complications was observed.Conclusions Three-dimensional prosthesis overlay in MDCT-derived patient data for patient-specific planning of TAVI procedures is feasible. It may improve valve selection compared with two-dimensional MDCT planning and thus yield better outcomes.

Objective The aim of this study was to investigate the short-term and midterm outcome of the Engager transcatheter aortic valve implantation (TAVI) system, a transapical self-expanding valve device with anatomic orientation.Methods Transapical aortic valve implantation with the Engager valve prosthesis was performed in 10 patients. Endpoints were defined according to the Valve Academic Research Consortium recommendations for reporting outcomes of TAVI in clinical trials. Follow-up has been completed after 30 days and 1 year.Results All patients underwent the implantation procedure successfully. No device-related or delivery system–related complications were observed. One patient died of non–device-related reasons at postoperative day 23 in multiorgan failure. At 30-day follow-up, no more than mild transvalvular and paravalvular aortic regurgitation were seen. After 1 year, no transvalvular regurgitation was observed as assessed by transthoracic echocardiography. None of the patients had more than mild paravalvular leakage. The mean ± SD gradient was 15.3 ± 4.2 mm Hg. New York Heart Association class decreased one degree in mean and sustained until 1-year follow-up. No more patients died until 1-year follow-up.Conclusions Application of the Engager TAVI system is safe and reliable. Prosthesis deployment in an anatomically correct position was facilitated by the design of the valve prosthesis and successful in all patients. No device-related or delivery system–related complications occurred. Procedural, short-term, and midterm results up to 1 year concerning the aortic valve performance are promising, with stable mean gradients and low rates of even mild regurgitation.

Objective The aim of this study was to investigate the short-term and midterm outcome of the Engager transcatheter aortic valve implantation (TAVI) system, a transapical self-expanding valve device with anatomic orientation.Methods Transapical aortic valve implantation with the Engager valve prosthesis was performed in 10 patients. Endpoints were defined according to the Valve Academic Research Consortium recommendations for reporting outcomes of TAVI in clinical trials. Follow-up has been completed after 30 days and 1 year.Results All patients underwent the implantation procedure successfully. No device-related or delivery system–related complications were observed. One patient died of non–device-related reasons at postoperative day 23 in multiorgan failure. At 30-day follow-up, no more than mild transvalvular and paravalvular aortic regurgitation were seen. After 1 year, no transvalvular regurgitation was observed as assessed by transthoracic echocardiography. None of the patients had more than mild paravalvular leakage. The mean ± SD gradient was 15.3 ± 4.2 mm Hg. New York Heart Association class decreased one degree in mean and sustained until 1-year follow-up. No more patients died until 1-year follow-up.Conclusions Application of the Engager TAVI system is safe and reliable. Prosthesis deployment in an anatomically correct position was facilitated by the design of the valve prosthesis and successful in all patients. No device-related or delivery system–related complications occurred. Procedural, short-term, and midterm results up to 1 year concerning the aortic valve performance are promising, with stable mean gradients and low rates of even mild regurgitation.

Objective Obesity is highly prevalent in modern patient populations. Several studies have published conflicting outcomes after minimally invasive surgery with regard to morbidity and mortality. Some instances consider obesity as a relative contraindication for this approach because of inadequate exposure of the surgical field. Our aim was to investigate the outcomes of minimally invasive mitral valve surgery through a right lateral minithoracotomy in patients with a body mass index (BMI) of 30 kg/m2or greater.Methods We conducted a retrospective database review between January 1, 2009, and December 31, 2011. Preoperative, intraoperative, postoperative, and follow-up data of 225 consecutive patients were collected.Results The patients were stratified according to their BMI: 108 had a normal weight with a BMI of lower than 25 kg/m2(18–24), 90 were overweight with a BMI of 25 to 29 kg/m2, and 27 were obese with a BMI of 30 kg/m2(30–41) or greater. Statistical analysis showed significantly longer ventilation times in the obese group, whereas all other variables were similar. Survival, major adverse cardiac and cerebrovascular event-free survival, valve competency, and freedom from reoperation were also comparable.Conclusions Our data suggest that obesity should not deter a surgeon from selecting a minimally invasive approach. Despite longer postoperative ventilation times, a BMI of 30 kg/m2or greater does not influence short- and medium-term outcome. Obese patients may even benefit from this approach because it avoids the need for sternotomy and therefore reduces the risk for sternal wound infection.

Objective Obesity is highly prevalent in modern patient populations. Several studies have published conflicting outcomes after minimally invasive surgery with regard to morbidity and mortality. Some instances consider obesity as a relative contraindication for this approach because of inadequate exposure of the surgical field. Our aim was to investigate the outcomes of minimally invasive mitral valve surgery through a right lateral minithoracotomy in patients with a body mass index (BMI) of 30 kg/m2or greater.Methods We conducted a retrospective database review between January 1, 2009, and December 31, 2011. Preoperative, intraoperative, postoperative, and follow-up data of 225 consecutive patients were collected.Results The patients were stratified according to their BMI: 108 had a normal weight with a BMI of lower than 25 kg/m2(18–24), 90 were overweight with a BMI of 25 to 29 kg/m2, and 27 were obese with a BMI of 30 kg/m2(30–41) or greater. Statistical analysis showed significantly longer ventilation times in the obese group, whereas all other variables were similar. Survival, major adverse cardiac and cerebrovascular event-free survival, valve competency, and freedom from reoperation were also comparable.Conclusions Our data suggest that obesity should not deter a surgeon from selecting a minimally invasive approach. Despite longer postoperative ventilation times, a BMI of 30 kg/m2or greater does not influence short- and medium-term outcome. Obese patients may even benefit from this approach because it avoids the need for sternotomy and therefore reduces the risk for sternal wound infection.

Assessment of perioperative risk of elderly patients in cardiac surgery is demanding. Most of the commonly used cardiac surgery risk scores over-or underestimate individual risk. Therefore, we recently developed a 'frailty score', the comprehensive assessment of frailty (CAF) score that showed a good prediction of 30-day mortality. The aim of the study was to evaluate the ability of the new score predicting one-year outcome. CAF was preoperatively applied to 400 patients ≥ 74 years that were admitted to cardiac surgery between September 2008 and January 2010. For 213 of these patients one-year follow-up was assessed by telephone interview until April 2010. One hundred and ten male and 103 female patients were included. Twenty-five percent underwent isolated coronary revascularization, 35% isolated valve procedures and 26% underwent combined procedures. One-year mortality was 12.2%. Patients who died within one year had a median frailty score of 16 [5;33] compared to 11 [3;33] to the one-year survivors (P=0.001). A new, easily applicable score ('Frailty predicts death One yeaR after Elective Cardiac Surgery Test') was built out of the basic score and showed a promising ability to predict one-year mortality. CAF is a new additional tool to assess prognosis of elderly patients before cardiac surgical interventions. The 'CAF' score facilitates prediction of mid-term outcome of high-risk elderly patients.

Cardiothoracic open‐heart surgery has revolutionized the treatment of cardiovascular disease, the leading cause of death worldwide. After the surgery, hemodynamic and volume management can be complicated, for example in case of vasoplegia after endocarditis. Timely treatment is crucial for outcomes. Currently, treatment decisions are made based on heart volume, which needs to be measured manually by the clinician each time using ultrasound. Alternatively, implantable sensors offer a real‐time window into the dynamic function of our body. Here it is shown that a soft flexible sensor, made with biocompatible materials, implanted on the surface of the heart, can provide continuous information of the heart volume after surgery. The sensor works robustly for a period of two days on a tensile machine. The accuracy of measuring heart volume is improved compared to the clinical gold standard in vivo, with an error of 7.1 mL for the strain sensor versus impedance and 14.0 mL versus ultrasound. Implanting such a sensor would provide essential, continuous information on heart volume in the critical time following the surgery, allowing early identification of complications, facilitating treatment, and hence potentially improving patient outcome. A soft flexible, strain sensor outperforms traditional clinical methods to measure left ventricular heart volume. The sensor can be directly applied to clinical settings in post heart surgery scenarios, and provide essential, continuous information on heart volume. Such technology would allow early identification of complications, using less personnel resources, facilitating treatment, and hence potentially improving patient outcome.

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In order to evaluate the performance of stents used in transcatheter aortic valve implantation (TAVI), finite element simulations are setup to reconstruct patient-specific contact forces between implant and its surrounding tissue. Previous work used structural beam elements to setup a numerical model of the CoreValve stent used in TAVI and developed a procedure for implementing kinematic boundary conditions from noisy computer tomography (CT) scanning data. This study evaluates element size selection and quantitatively investigates the choice of a linear elastic constitutive model for the Nitinol stent under physiological loading conditions. It is shown that this simplification leads to reliable results and enables a huge reduction in computation time. Further, the procedure used to compensate for noisy postoperative CT data is tested by adding artificial noise. It is concluded that for physiologically relevant loading ranges, the procedure yields convergent results and successfully eliminates the influence of the noise.