Background: Electrical impedance tomography (EIT) is a new non-invasive, mobile screening method which does not use ionizing radiation to the human breast; allows conducting quantitative assessment of the images besides the visual interpretation. The aim of this study was to correlate the quantitative assessment and visual interpretation of breast electrical impedance tomographs and associated factors. Materials and Methods: One hundred and fifty mammography patients above 40 years and undergoing EIT were chosen using convenient sampling. Visual interpretation of the images was carried out by a radiologist with minimum of three years experience using the breast imaging -electrical impedance (BI-EIM) classification for detection of abnormalities.A set of thirty blinded EIT images were reinterpreted to determine the intra-rater reliability using kappa. Quantitative assessment was by comparison of the breast average electric conductivity with the norm and correlations with visual interpretation of the images were determined using Chi-square. One-way ANOVA was used to compare the mean electrical conductivity between groups and t-test was used for comparisons with pre-existing Caucasians statistics. Independent t-tests were applied to compare the mean electrical conductivity of women with factors like exogenous hormone use and family history of breast cancer. Results: The mean electrical conductivity of Malaysian women was significantly lower than that of Caucasians (p<0.05). Quantitative assessment of electrical impedance tomography was significantly related with visual interpretation of images of the breast (p<0.05). Conclusions: Quantitative assessment of electrical impedance tomography images was significantly related with visual interpretation.

This study aims to investigate the impacts of perceived quality and perceived value on patient satisfaction as well as the influence of patient satisfaction on hospital’s brand image, patient loyalty and word-of-mouth intention in the context of private hospitalization services. With regards to the conceptualization of perceived quality, this study also attempts to uncover the underlying dimensions of hospitalization quality in the specific context of private hospital. This study surveyed 254 patients who were admitted for at least three days at private hospital in Malaysia, revealing that patient satisfaction with hospitalization services could be explained directly or indirectly by five hospitalization quality domains namely outcome quality, rights and privacy, medical quality, service quality, and servicescape. The findings of this study also show that patient satisfaction has significant impacts on all the three consequences variables – brand image, patient loyalty and WoM intention. The two major contributions of this study include the conceptualization of hospitalization quality domains and the newly developed measurement of perceived value in the context of profit-oriented healthcare institutions.

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A Learning Management System (LMS) is a virtual interactive medium that modernize the classic classroom interaction in the higher education system. It allows instructors and students to share instructional materials, make class announcements, submit and return course assignments, and communicate with each other online. In KPJ Healthcare University College, Department of Medical Imaging under school of Health Sciences was the first unit that has used LMS actively since 2013. The aim of the study is to determine the perception of Medical Imaging lecturers and scholars on LMS implementation before this system is fully utilized by the university. Using a descriptive study, 200 participants were randomly selected to answer the questionnaire via Google form and 93% responded. Analysis such as frequencies, percentage and statistical analysis were conducted. The results showed that most of the lecturers and scholars have a positive perception on the system implemented. Implication of the results and future improvement are also presented.

A set of national diagnostic reference levels (DRLs) was established in Malaysia for a range of breast thicknesses in 2013, but no updates for full-field digital mammography (FFDM) and digital breast tomosynthesis (DBT). Due to the increasing number of DBTs used and concern over radiation exposure, this study aimed to explore and establish local diagnostic reference levels for FFDM and DBT in Malaysia health facilities at different compressed breast thickness (CBT) ranges. The CBT, kilovoltage peak (kVp), Entrance surface dose (ESD), and average glandular dose (AGD) were retrospectively extracted from the mammography Digital Imaging and Communications in Medicine (DICOM) header. The 75th and 95th percentile values were obtained for the AGD distribution of each mammography projection for three sets of CBT range. The difference in AGD values between FFDM and DBT at three CBT ranges was determined. The DRLs for FFDM were 1.13 mGy, 1.52 mGy, and 2.87 mGy, while DBT were 1.18 mGy, 1.88 mGy, and 2.78 mGy at CBT ranges of 20–39 mm, 40–59 mm, and 60–99 mm, respectively. The AGD of DBT was significantly higher than FFDM for both mammographic views (p < 0.005). All three CBT groups showed a significant difference in AGD values for FFDM and DBT (p < 0.005). The local DRLs from this study were lower than the national DRLs, with the AGD of FFDM significantly lower than DBT.