Innovative strategies to expand cadaveric donor pool for liver transplantation (SITF project): a network between Italian transplantation centers supported by the Ministry of Health.

In 2002, the Italian Ministry of Health (IMH) launched a formal call for health research programs within the Research and Development (R&D) Policy. In this context, the research program "Innovative Strategies to Expand Cadaveric Donor Pool for Liver Transplantation" (SITF Project) has been proposed. The SITF Project has been formally approved by IMH as a 2-year research program included in the R&D Policy. The main goals of the SITF Project are to improve matching criteria for split liver transplantation (SLT) in both pediatric and adult recipients, to promote an increase of the SLT/full- size liver transplantation ratio at the national level, and, especially, to establish shared criteria for SLT in 2 adult recipients. The original executive plan of the SITF Project prefigured the participation of both the Italian transplantation centers with more advanced experience in the field of SLT, and institutional partnership, such as Nord Italia Transplant (NITp) and Italian National Transplant Center. A first Web public area concerning the SITF Project has been activated, as well as a reserved Web area with the aim to share cadaveric donors and patients in the waiting lists between Operative Units involved in the research program. For this objective, the first version Oracle-based database able to perform an automatic matching between a single cadaveric donor and 2 potential adult recipients has been released at the beginning of 2005. The SITF Project represents a new approach in the management of SLT for 2 adult recipients in Italy and a model for a functional network between Italian transplantation centers.

Surface-marker cluster design criteria for 3-D bone movement reconstruction.

When three-dimensional (3-D) human or animal movement is recorded using a photogrammetric system, bone-embedded frame positions and orientations are estimated from reconstructed surface marker trajectories using either nonoptimal or optimal algorithms. The effectiveness of these mathematical procedures in accommodating for both photogrammetric errors and skin movement artifacts depends on the number of markers associated with a given bone as well as on the size and shape characteristics of the relevant cluster. One objective of this paper deals with the identification of marker-cluster design criteria aimed at the minimization of error propagation from marker coordinates to bone-embedded frame position and orientation. Findings allow for the quantitative estimation of these errors for any given cluster configuration and suggest the following main design criteria. A cluster made up of four markers represents a good practical compromise. Planar clusters are acceptable, provided in quasi-isotropic distribution. The root mean square distance of the markers from their centroid should be greater than ten times the standard deviation of the marker position error. The second objective of this paper deals with the identification of the optimal cluster position and orientation on the limb aimed at the minimization of error propagation to anatomical landmark laboratory coordinates. Cluster position should be selected to minimize skin movement artifacts. The longest principal axis of the marker distribution should be oriented toward the relevant anatomical landmark position.