Introduction. Modern radiation therapy has become an effective method to treat and monitor tumour growth in cancer patients. It has proved to be a successful way to minimise mortality rates. However, the adverse effects of radiation have been historical evidence in the clinical environment involving diminishing the quality and density of bone and causing fragility fracture to the bone in the long run. This systematic review was aimed at identifying and evaluating the effects of irradiation on morphology and mechanical properties of murine model bone in previous publications. Methods. A systematic literature review was undertaken following the Preferred Reporting Items for Systemic Reviews and Meta-analysis (PRISMA) guidelines. A comprehensive literature search was performed using Scopus, Web of Science, and Science Direct databases (English only studies published between 2015 and 2020). The selected studies were evaluated according to three criteria: (1) criteria for study sample selection; (2) criteria for methodological procedures; and (3) criteria for detection and evaluation. Results. The initial search strategy identified 1408 related studies, 8 of were included based on inclusion and exclusion criteria. This review revealed an association between bone destruction and the magnitude of time and dose postirradiation. We agreed that the effect of radiation on bone morphology and strength primarily is a later stage event but noticeable in both low (1 Gy) and high dose (30 Gy) radiation. Trabecular and cortical bone microstructures were significantly altered at irradiation and contralateral sites. Besides, the mechanical strength was significantly impacted in both shorter and longer periods. Conclusion. Overall, the radiotherapy altered bone microstructures and substantially decreases bone mechanical properties. The alteration was related to quantity and the activity of the osteoblast and osteoclast. Early detection of those most at risk for radiation-induced bone alterations could lead to better prophylactic intervention decisions.
Introduction: The aim of this study is to applied CT scan-based tissue segmentation to measure visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) volumes. Then, the ratio of both fat tissue volumes was calculated to get two more parameters: visceral fat volume ratio (VFVR) and subcutaneous fat volume ratio (SFVR). After that, the relationship between these factors and urolithiasis recurrence was examined using correlation analysis. Other parameters, which are the patient’s age and gender, were also tested for correlation analysis with urolithiasis recurrence. Finally, logistic regression analysis was performed to find the association between urolithiasis recurrence and the parameters (age, gender, VAT volume, SAT volume, VFVR and SFVR). Methods: This study was a retrospective cross-sectional study design using the images collected from CT Urology cases in the year 2019. The patients selected have a history of stone removal in 2014. The application used for CT tissue segmentation is 3D Slicer. Results: Urolithiasis recurrence shows medium and high degree of positive correlation with total fat volume, VAT volume, and VFVR (correlation coefficient, cc = 0.254, p = 0.023), (cc = 0.390, p< 0.001) and (cc = 0.688, p< 0.001), respectively and high degree of negative correlation with SFVR (cc = -0.688, p< 0.001). However, using logistic regression analysis, only VAT volume was significantly associated with urolithiasis recurrence (OR 1.11, 95% CI 1.01-1.22, p= 0.03), while the total fat volume, VFVR, and SFVR are not significant. Conclusion: CT scan-based tissue segmentation has a huge impact on fat volume quantification. This study confirms that VAT volume was strongly correlated with urolithiasis recurrence, indicating that VAT volume plays a more important role than SAT volume, total fat volume, VFVR and SFVR in the production of urinary stone. Thus, VAT volume can be further considered as a new independent risk factor for urolithiasis.
This study aimed to investigate the effects of sleep deprivation and study habits during online distance learning (ODL) among students. The objective of this study is to evaluate the relationship between sleep deprivation and study habits with academic performance among students during ODL. A cross-sectional survey is used through an online platform. The questionnaire was distributed to 191 students in Medical Imaging course. The data being analyzed using SPSS software version 26. Most students had poor sleep (n=130, 68.1%) and poor study habits (n=136, 71.2%). There is no significant correlation between sleep deprivation (X2=0.31, df=2, p=0.855) and study habits (X2=1.26, df=2, p=0.533) on student’s academic performance. Keywords: sleep deprivation; study habits; e-learning; academic performance eISSN: 2398-4287 © 2022. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians/Africans/Arabians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v7i21.3735
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