Redesign and performance of an automatic segmentation method

[Resumen] La información más relevante de las angiografías coronarias se extrae empleando técnicas de segmentación, que pueden ser automáticas, semiautomáticas o manuales. Existen numerosos algoritmos de segmentación vascular, obteniendo mejores resultados, por normal general, aquellos que emplean múltiples técnicas e imágenes a diferentes escalas para proporcionar los resultados requeridos. Se presenta un nuevo método de segmentación automatizado basado en el método manual de Hamarneh incluyendo un estudio estadístico que demuestra su idoneidad para el problema

Automatic multiscale vascular image segmentation algorithm for coronary angiography

[Abstract] Cardiovascular diseases, particularly severe stenosis, are the main cause of death in the western world. The primary method of diagnosis, considered to be the standard in the detection and quantification of stenotic lesions, is a coronary angiography. This article proposes a new automatic multiscale segmentation algorithm for the study of coronary trees that offers results comparable to the best existing semi-automatic method. According to the state-of-the-art, a representative number of coronary angiography images that ensures the generalisation capacity of the algorithm has been used. All these images were selected by clinics from an Haemodynamics Unit. An exhaustive statistical analysis was performed in terms of sensitivity, specificity and Jaccard. Algorithm improvements imply that the clinician can perform tests on the patient and, bypassing the images through the system, can verify, in that moment, the intervention of existing differences in a coronary tree from a previous test, in such a way that it could change its clinical intra-intervention criteria.Galicia. Consellería de Cultura, Educación e Ordenación Universitaria; GRC2014/049Ministerio de Economía y Competitividad; TIN2015-70648-

Economic evaluation of complete revascularization versus stress echocardiography-guided revascularization in the STEACS with multivessel disease

[Resumen] Introducción y objetivos. Los estudios económicos pueden ayudar a tomar decisiones en el tratamiento de la enfermedad multivaso en el infarto. Se planteó realizar una evaluación económica del ensayo clínico CROSS-AMI (Complete Revascularization or Stress Echocardiography in Patients With Multivessel Disease and ST-Segment Elevation Acute Myocardial Infarction). Métodos. Se realizó un análisis de comparación de costes económicos de las estrategias (revascularización angiográfica completa [RCom] y revascularización selectiva guiada por isquemia en ecocardiograma de estrés [RSel]) comparadas en el ensayo clínico CROSS-AMI (N = 306), derivados de la hospitalización inicial y del primer año de seguimiento, según las tarifas oficiales vigentes en nuestro sistema de salud. Resultados. El coste de la hospitalización inicial resultó superior en el grupo de RCom que en la rama de RSel (19.657,9 ± 6.236,8 frente a 14.038,7 ± 4.958,5 euros; p < 0,001). No hubo diferencias entre ambos grupos en el coste del primer año de seguimiento (RCom, 2.423,5 ± 4.568,0 euros; Rsel, 2.653,9 ± 5.709,1 euros; p = 0,697). El coste total fue 22.081,3 ± 7.505,6 euros en la rama de RCom y 16.692,6 ± 7.669,9 euros en la rama de RSel (p < 0,001). Conclusiones. En el ensayo clínico CROSS-AMI, el sobrecoste inicial de la RCom frente a la RSel no se vio compensado por un ahorro significativo en el seguimiento. La RSel parece ser una estrategia más eficiente que la RCom para los pacientes con síndrome coronario agudo con elevación del segmento ST y enfermedad multivaso tratados mediante angioplastia emergente.[Abstract] Introduction and objectives. Economic studies may help decision making in the management of multivessel disease in the setting of myocardial infarction. We sought to perform an economic evaluation of CROSS-AMI (Complete Revascularization or Stress Echocardiography in Patients With Multivessel Disease and ST-Segment Elevation Acute Myocardial Infarction) randomized clinical trial. Methods. We performed a cost minimization analysis for the strategies (complete angiographic revascularization [ComR] and selective stress echocardiography–guided revascularization [SelR]) compared in the CROSS-AMI clinical trial (N = 306), attributable the initial hospitalization and readmissions during the first year of follow-up, using current rates for health services provided by our health system. Results. The index hospitalization costs were higher in the ComR group than in SelR arm (19 657.9 ± 6236.8 € vs 14 038.7 ± 4958.5 €; P < .001). There were no differences in the costs of the first year of follow-up rehospitalizations between both groups for (ComR 2423.5 ± 4568.0 vs SelR 2653.9 ± 5709.1; P = .697). Total cost was 22 081.3 ± 7505.6 for the ComR arm and 16 692.6 ± 7669.9 for the SelR group (P < .001). Conclusions. In the CROSS-AMI trial, the initial extra economic costs of the ComR versus SelR were not offset by significant savings during follow-up. SelR seems to be more efficient than ComR in patients with ST-segment elevation acute coronary syndrome and multivessel disease treated by emergent angioplasty

The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project

The PREDICTS project—Projecting Responses of Ecological Diversity In Changing Terrestrial Systems (www.predicts.org.uk)—has collated from published studies a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use. We have used this evidence base to develop global and regional statistical models of how local biodiversity responds to these measures. We describe and make freely available this 2016 release of the database, containing more than 3.2 million records sampled at over 26,000 locations and representing over 47,000 species. We outline how the database can help in answering a range of questions in ecology and conservation biology. To our knowledge, this is the largest and most geographically and taxonomically representative database of spatial comparisons of biodiversity that has been collated to date; it will be useful to researchers and international efforts wishing to model and understand the global status of biodiversity