MATERIALS AND METHODS: This study was conducted based on the guideline published by the European Association of Nuclear Medicine (EANM) version 2.0 FDG-PET/CT and conducted in two phases. Firstly, 100 whole-body scan 18FFDG PET/CT images were selected for the average coefficient of variation (COV) analysis in the liver region. Second, a NEMA 2012/IEC2008 phantom was used to obtain the relationship between the COVphantom and the scanning time. Finally, the images acquired using the two Tmin were quantitatively compared using contrast recovery coefficient (QH), signal to noise ratio (SNR), and visibility (VH). Independent t-test between each image quality parameter performed with p-value <0.05 considered significant.
RESULTS: The average COV of the liver was 17.7%. Currently, this value was clinically accepted to produce appropriate image quality at IKN. Interpolation at COV=17.7% gave a Tmin value of 2.9 minutes. Comparisons show that the two Tmin yielded equivalent PET/CT image quality (p-value of QH=0.774, SNR=0.780 and VH=0.915).
CONCLUSION: The optimal Tmin defined in this study was 2.9 minutes, 27.6% shorter than the Tmin previously defined based on COV=15%. Despite the higher average COV, the shorter Tmin beneficial in the lower total 18F-FDG activity administered, reduce the internal dose to the patient while producing equivalent image quality.
METHOD: A cross-sectional descriptive study was conducted among 450 nurses from 37 wards in Hospital Kuala Lumpur. Nurses on shift duty were recruited by convenience sampling from the Medical, Surgery, Obstetrics & Gynaecology, Orthopaedic and Paediatric wards. Using a validated questionnaire (Handover Evaluation Scale), nurses self-rated their perceptions using a 7-point scale and provided open-ended responses to the strengths and challenges that they faced. Descriptive and inferential analyses were done while open-ended questions were summarised based on key themes.
RESULTS: A total of 414 nurses completed the survey (92.0% response rate). Nurses had an overall mean (SD) perception score of 5.01 (SD 0.56). They perceived good interaction and support during handover and on the quality of information that they received, with mean scores of 5.54 (SD 0.79) and 5.19 (SD 0.69), respectively. There was an association between the departments where the nurses worked and their overall perceptions on nursing handover (p<0.001). Interruptions being the most common theme emerged from the open-ended section.
CONCLUSION: Despite having substantial interaction and support amongst nurses, opportunities for improvements were noted. Improvements in the quality of handover information and reducing interruptions should be the main emphases as these were perceived to be essential in the current handover practices by nurses.
METHODS: In this study, plasma miRNA profiles from eight early-stage breast cancer patients and nine age-matched (± 2 years) healthy controls were characterized by miRNA array-based approach, followed by differential gene expression analysis, Independent T-test and construction of Receiver Operating Characteristic (ROC) curve to determine the capability of the assays to discriminate between breast cancer and the healthy control.
RESULTS: Based on the 372-miRNAs microarray profiling, a set of 40 differential miRNAs was extracted regarding to the fold change value at 2 and above. We further sub grouped 40 miRNAs of breast cancer patients that were significantly expressed at 2-fold change and higher. In this set, we discovered that 24 miRNAs were significantly upregulated and 16 miRNAs were significantly downregulated in breast cancer patients, as compared to the miRNA expression of healthy subjects. ROC curve analysis revealed that seven miRNAs (miR-125b-5p, miR-142-3p, miR-145-5p, miR-193a-5p, miR-27b-3p, miR-22-5p and miR-423-5p) had area under curve (AUC) value > 0.7 (AUC p-value < 0.05). Overlapping findings from differential gene expression analysis, ROC analysis, and Independent T-Test resulted in three miRNAs (miR-27b-3p, miR-22-5p, miR-145-5p). Cohen's effect size for these three miRNAs was large with d value are more than 0.95.
CONCLUSION: miR-27b-3p, miR-22-5p, miR-145-5p could be potential biomarkers to distinguish breast cancer patients from healthy controls. A validation study for these three miRNAs in an external set of samples is ongoing.
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