Factors Involved in Shared Decision-making Regarding Treatment Selection by Patients With Cancer.

Background/aim: Patients diagnosed with cancer are expected to choose one or more treatment modalities after receiving corresponding explanations of the options. When making these choices, patients consider the effects of treatment and aspects related to their quality of life. These concerns can cause confusion and conflict owing to the complicated information provided by medical caregivers.

Actual situation of decision-making support from medical staff when cancer patients make treatment choices.

We investigated factors involved in decision-making support provided by physicians, nurses, pharmacists and medical and psychiatric social workers involved in cancer care. A questionnaire survey on decision-making support was conducted. The level of clinician support was classified as 'supporting patients' 'decision-making process regarding cancer treatment', 'no support for patients' 'decision-making process regarding cancer treatment' or 'team-based support for patients' 'decision-making process regarding cancer treatment'.

Factors and Challenges in Increasing the Utilization Rate of a New Long-term Care Service (Kantaki) in a Superaging Society: Cross-sectional Study.

Background: Japan is a superaging society unparalleled in the world. Elderly people who need medical care do not receive adequate support in the community. As a new service to address this issue, a small-scale multifunctional in-home care nursing service called Kantaki was created in 2012.

Spatiotemporal Statistical Shape Model for Temporal Shape Change Analysis of Adult Brain.

Background: This study presents a novel method of constructing a spatiotemporal statistical shape model (st-SSM) for adult brain. St-SSM is an extension of statistical shape model (SSM) in the temporal domain which will represent the statistical variability of shape as well as the temporal change of statistical variance with respect to time.

Aims: Expectation-Maximization (EM) based weighted principal component analysis (WPCA) using a temporal weight function is applied where the eigenvalues of each data are estimated by Estep using temporal eigenvectors, and M-step updates Eigenvectors in order to maximize the variance.

Bone Tunnel Placement Determination Method for 3D Images and Its Evaluation for Anterior Cruciate Ligament Reconstruction.

Background: Anterior cruciate ligament (ACL) injury causes knee instability which affects sports activity involving cutting and twisting motions. The ACL reconstruction surgery replaces the damaged ACL with artificial one which is fixed to the bone tunnels opened by the surgeon. The outcome of the ACL reconstruction is strongly related to the placement of the bone tunnels, therefore, the optimization of tunnel drilling technique is an important factor to obtain satisfactory surgical results.