Automatic aortic root landmark detection in CTA images for preprocedural planning of transcatheter aortic valve implantation

Transcatheter aortic valve implantation is currently a well-established minimal invasive treatment option for patients with severe aortic valve stenosis. CT Angiography is used for the pre-operative planning and sizing of the prosthesis. To reduce the inconsistency in sizing due to interobserver variability, we introduce and evaluate an automatic aortic root landmarks detection method to determine the sizing parameters. The proposed algorithm detects the sinotubular junction, two coronary ostia, and three valvular hinge points on a segmented aortic root surface. Using these aortic root landmarks, the automated method determines annulus radius, annulus orientation, and distance from annulus plane to right and left coronary ostia. Validation is performed by the comparison with manual measurements of two observers for 40 CTA image datasets. Detection of landmarks showed high accuracy where the mean distance between the automatically detected and reference landmarks was 2.81 ± 2.08 mm, comparable to the interobserver variation of 2.67 ± 2.52 mm. The mean annulus to coronary ostium distance was 16.9 ± 3.3 and 17.1 ± 3.3 mm for the automated and the reference manual measurements, respectively, with a mean paired difference of 1.89 ± 1.71 mm and interobserver mean paired difference of 1.38 ± 1.52 mm. Automated detection of aortic root landmarks enables automated sizing with good agreement with manual measurements, which suggests applicability of the presented method in current clinical practic

Vision Loss from Atypical Optic Neuritis: Patient and Physician Perspectives.

This article, co-authored by a patient affected by bilateral, recurrent, atypical optic neuritis, and clinicians, discusses the mental burden of living with uncertainty and the possibility of further sight loss, along with the side effects of treatment. The patient shares some of the challenges, coping strategies, and the value they found in creating and participating in a patient support group. The physicians consider whether current clinical measures adequately capture the outcomes that matter to patients and discuss the role for patient-reported outcome measures (PROMs). We identify technological advances that are lowering traditional barriers to the use of PROMs in research and routine clinical care and look towards new PROM instruments enhancing shared patient-physician care in the future

Automatic Planning of Minimally Invasive Aortic Valve Replacement Surgery

The minimally invasive aortic valve replacement procedure provides a good alternative to conventional open heart surgery. Currently, Planning of the mini-AVR is supported by the selection of closest intercostal space to the sinutubular junction manually. In this work, we automate and standardize this planning by automatically detecting the intercostal spaces and the sinutubular junction, from which we calculate the closest incision location. The proposed algorithm provides qualitatively and quantitative accurate results; where the sinutubular junction detection has mean error of 3.4 mm. This work has the potential to be implemented in the clinical practice for reproducible and accurate mini-AVR plannin

Automated CTA based measurements for planning support of minimally invasive aortic valve replacement surgery

Minimally invasive aortic valve replacement (mini-AVR) procedures are a valuable alternative to conventional open heart surgery. Currently, planning of mini-AVR consists of selection of the intercostal space closest to the sinotubular junction on preoperative computer tomography images. We developed an automated algorithm detecting the sinotubular junction (STJ) and intercostal spaces for finding the optimal incision location. The accuracy of the STJ detection was assessed by comparison with manual delineation by measuring the Euclidean distance between the manually and automatically detected points. In all 20 patients, the intercostal spaces were accurately detected. The median distance between automated and manually detected STJ locations was 1.4 [IQR= 0.91-4.7] mm compared to the interobserver variation of 1.0 [IQR= 0.54-1.3] mm. For 60% of patients, the fourth intercostal space was the closest to the STJ. The proposed algorithm is the first automated approach for detecting optimal incision location and has the potential to be implemented in clinical practice for planning of various mini-AVR procedure

Impact of Potentially Malignant Incidental Findings by Computed Tomographic Angiography on Long-Term Survival After Transcatheter Aortic Valve Implantation

Computed tomography angiography (CTA) in workup for transcatheter aortic valve implantation (TAVI) frequently reveals potentially malignant incidental findings. Most incidental findings provoke discussions on their influence. We aimed to analyze if these findings were a predictor of long-term survival after TAVI. In a single-center retrospective analysis, all consecutive patients with pre-TAVI CTA were included (years 2009 to 2014). Patients were divided by presence or absence of incidental findings. We analyzed up to 5 years of all cause, non-cardiovascular and cardiovascular mortality for all 553 patients who underwent TAVI; 113 had a potentially malignant incidental finding (20.4%). At 5 years, all-cause mortality risk was 64.5% in patients with versus 49.1% in patients without a finding (hazard ratio [HR] 1.70, 95% confidence interval [CI] 1.25 to 2.31). After adjustment, the findings remained an independent predictor of all-cause (adjusted HR 1.46, 95% CI 1.07 to 1.99) and non-cardiovascular mortality (adjusted subdistribution HR 1.84, 95% CI 1.06 to 3.20), but not of cardiovascular mortality. In conclusion, the presence of potentially malignant incidental findings on CTA is an independent predictor of long-term all-cause and noncardiovascular mortality but not of cardiovascular mortality. (C) 2017 The Author(s). Published by Elsevier In

Assessment of Cardiac Device Position on Supine Chest Radiograph in the ICU: Introduction and Applicability of the Aortic Valve Location Ratio

The use of intracardiac assist devices is expanding, and correct position of these devices is required for optimal functioning. The aortic valve is an important landmark for positioning of those devices. It would be of great value if the device position could be easily monitored on plain supine chest radiograph in the ICU. We introduce a ratio-based tool for determination of the aortic valve location on plain supine chest radiograph images, which can be used to evaluate intracardiac device position. Retrospective observational study. Large academic medical center. Patients admitted to the ICU and supported by an intracardiac assist device. We developed a ratio to determine the aortic valve location on supine chest radiograph images. This ratio is used to assess the position of a cardiac assist device and is compared with echocardiographic findings. Supine anterior-posterior chest radiographs of patients with an aortic valve prosthesis (n = 473) were analyzed to determine the location of the aortic valve. We calculated several ratios with the potential to determine the position of the aortic valve. The aortic valve location ratio, defined as the distance between the carina and the aortic valve, divided by the thoracic width, was found to be the best performing ratio. The aortic valve location ratio determines the location of the aortic valve caudal to the carina, at a distance of 0.25 ± 0.05 times the thoracic width for male patients and 0.28 ± 0.05 times the thoracic width for female patients. The aortic valve location ratio was validated using CT images of patients with angina pectoris without known valvular disease (n = 95). There was a good correlation between cardiac device position (Impella) assessed with the aortic valve location ratio and with echocardiography (n = 53). The aortic valve location ratio enables accurate and reproducible localization of the aortic valve on supine chest radiograph. This tool is easily applicable and can be used for assessment of cardiac device position in patients on the IC

Incidence, Predictors, and Impact of Vascular Complications After Transfemoral Transcatheter Aortic Valve Implantation With the SAPIEN 3 Prosthesis

Vascular complications (VCs) after transfemoral transcatheter aortic valve implantation (TAVI) have always been reported to occur frequently. Studies addressing VCs have been conducted with older-generation prostheses. We aimed to evaluate the incidence, predictors, and impact of VCs after transfemoral TAVI with the balloon-expandable SAPIEN 3. We report a single-center retrospective analysis of 400 consecutive patients of a prospectively acquired cohort. All patients underwent transfemoral TAVI with SAPIEN 3 between January 2014 and December 2016. VC was defined according to the Valve Academic Research Consortium. In this cohort 83 patients had VCs (20.8%), 5.8% major and 15.0% minor. Sheath-to-iliofemoral artery ratio was the only predictor of major VCs (odds ratio 7.51, 95% confidence interval 1.61 to 34.95, p = 0.010). The area under the receiver-operator characteristic curve for sheath-to-iliofemoral artery ratio was 0.63 (poor accuracy). Thirty-day mortality rates were 17.4%, 1.7%, and 0.6% for major, minor, and no VCs, respectively (log-rank p ≤0.001). After adjustment, only major VCs were associated with 30-day mortality (adjusted hazard ratio 48.31, 95% confidence interval 7.80 to 299.24). Mortality from 30 days until 1 year did not differ between patients with and without VCs (log-rank p = 0.61). In conclusion we report that VCs remain an issue of transfemoral TAVI with the SAPIEN 3, and their prediction continues to be difficult, albeit the low-incidence, major VCs were associated with higher 30-day mortality. However, after these first 30 days, they were not of influence on survival anymore