Background: The proximal isovelocity surface area (PISA) method is validated to quantify mitral regurgitation (MR) and ventricular shunt (VS). However, the two-dimensional echocardiography (2DE) PISA method assumes a hemispherical distribution of velocity factors proximal to the MR or VS orifice.
Aim: To assess the PISA shape by three-dimensional echocardiography (3DE) in a paediatric population with MR or VS. According to the true PISA shape, we suggest different models to calculate the MR or VS volume by the 3DE PISA method.
Methods: Thirty-one paediatric patients (aged 1month to 20years, median 69months) were included: 17 had MR and 14 had VS. The orifice area and volume of MR and VS were evaluated by 2DE. 3DE acquired the entire PISA volume at orifice level. The PISA shape was estimated according to three diameters as being hemispherical, prolate hemispheroid, oblate hemispheroid and hemiellipsoid.
Results: Data from 28patients were analysed. The PISA shape was variable: hemispherical, 11%; prolate hemispheroid, 43%; oblate hemispheroid, 32%; hemiellipsoid, 14%. Oblate hemispheroids occurred more frequently in the MR group (47%), whereas prolate hemispheroids occurred more frequently in the VS group (62%); hemispheres were scarce in both groups (10%). The mean MR or VS orifices and volumes measured by 2DE and 3DE were significantly different (0.123cm(2) versus 0.094cm(2) and 13.2mL versus 10.1mL, respectively; p=0.019).
Conclusions: 3DE describes the true surface of the PISA shape. In a paediatric population with MR or VS, the PISA is rarely hemispherical but is more often prolate or oblate hemispheroid.
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http://dx.doi.org/10.1016/j.acvd.2008.12.008 | DOI Listing |
Cardiovasc Eng Technol
January 2025
Department of Cardiac Surgery, Heidelberg University Hospital, Heidelberg, Germany.
The flow convergence method includes calculation of the proximal isovelocity surface area (PISA) and is widely used to classify mitral regurgitation (MR) with echocardiography. It constitutes a primary decision factor for determination of treatment and should therefore be a robust quantification method. However, it is known for its tendency to underestimate MR and its dependence on user expertise.
View Article and Find Full Text PDFEur Radiol Exp
January 2025
Unit of Medical Physics, Pisa University Hospital "Azienda Ospedaliero-Universitaria Pisana", Pisa, Italy.
Biomed Tech (Berl)
December 2024
Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen (AöR), Essen, Germany.
Objectives: The shape is commonly used to describe the objects. State-of-the-art algorithms in medical imaging are predominantly diverging from computer vision, where voxel grids, meshes, point clouds, and implicit surface models are used. This is seen from the growing popularity of ShapeNet (51,300 models) and Princeton ModelNet (127,915 models).
View Article and Find Full Text PDFPlast Reconstr Surg
December 2024
Department of Plastic Surgery, Sahlgrenska University Hospital, The Sahlgrenska Academy, Institute of Clinical Sciences, University of Gothenburg, Gothenburg, Sweden.
Background: There is a need for a new, less invasive surgical option for unicoronal synostosis (UCS). The aim of this study was to compare the resulting morphology and symmetry in patients with UCS following fronto-orbital distraction (FOD) or calvarial switch (CS).
Methods: 79 patients with isolated UCS operated between 2005 and 2021 were analyzed.
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