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  1. Nurulhuda, M. H., Norwati, D., Sit Norazlina, J., Husbani, M. A. R.
    MyJurnal
    Background: Breast cancer is the most common cancer and the leading cause of cancer death among women in
    Malaysia, accounting to 32.1% of all cancer among women. Preventive activities of breast health especially
    mammogram screening was found to be effective in reducing the mortality and morbidities related to breast cancer. .
    However, the number of people who come for screening is still unsatisfactory. Many patients come in advanced stage
    of breast cancer attributed by lack of awareness and knowledge of the disease. The aim of this study was to introduce
    a multimodality online course on breast cancer and its screening; and to measure its effectiveness in providing the
    awareness and knowledge in breast cancer. Methodology: An online course was designed incorporating essential
    knowledge regarding breast cancer and its screening. Group sampling was done to sample 30 undergraduate students.
    Knowledge and awareness on breast cancer and its screening was measured using a validated questionnaire pre and
    post exposure to the online course. Results: There was significant difference in Pre- &Post-exposure test knowledge
    (p
  2. Wan Rohani, W. T., Amiratul Athirah S., Nasriah A., Mohaslida, M., Tengku Fatimah Murniwati T. M., Norhasiza M. J., et al.
    Medicine & Health, 2017;12(2):312-320.
    MyJurnal
    Pengesanan awal risiko kanser payudara menggunakan mammografi dapat
    mengurangkan kos pengurusan rawatan dan prognosis penyakit ini. Paras
    ketumpatan payudara yang dikesan menggunakan mammogram memberi
    potensi faktor penyebab kepada risiko kanser payudara. Penghasilan sel epitelial
    pada mamari dapat ditentukan oleh faktor genetik. Gen transforming growth
    factor-beta (TGF-ß) telah dikenalpasti terlibat di dalam regulasi proliferasi sel dan
    pembahagian sel. Kajian ini bertujuan untuk mengukur hubung kait polimorfisme
    TGF-ß1 dengan ketumpatan payudara di kalangan wanita yang menjalani saringan
    mamografi. Pengesanan genotip bagi tiga polimorfisme TGF-ß1 yang dikenali
    sebagai rs1800469, rs1800470 dan rs4803455 dilakukan dengan teknik PCR-RFLP.
    Frekuensi alel dan genotip dikira bagi kumpulan kawalan yang terdiri dari kalangan
    wanita yang telah dikelaskan BIRADS 1 dan BIRADS 2, manakala kumpulan kes
    terdiri dari kalangan wanita yang telah dikelaskan BIRADS 3 dan BIRADS 4.Dua
    polimorfisme (rs1800469 dan rs1800470) telah menunjukkan hubung kait yang
    signifikan dengan ketumpatan payudara dengan nilai P= 0.004 dan 0.003. Namun
    begitu polimorfisme yang ketiga iaitu rs4803455 tidak menunjukkan hubung kait
    (nilai P=0.090). Analisa hubung kait haplotaip mencadangkan haplotaip GAA
    berupaya memberi kecenderungan ketumpatan payudara (nilai P=0.02, OR=2.21
    [1.07-4.55]) berbanding haplotaip AAC yang berupaya untuk memberi kesan
    perlindungan dari penghasilan ketumpatan payudara (nilai P=0.004, OR=0.40 [0.21-0.77]). Data asas hubung kait dan haplotaip ini memberi penjelasan kaitan
    polimorfisme TGF-ß1 dengan ketumpatan payudara dan memberi maklumat fungsi
    polimorfisme di dalam mempengaruhi pembentukan ketumpatan payudara.
  3. Husbani MAR, Shuhada JM, Hamid AIA, Suardi KPS, Abdullah MS, Latif AZA, et al.
    Med J Malaysia, 2021 05;76(3):360-368.
    PMID: 34031335
    INTRODUCTION: The effective connectivity (EC) when the brain is resting and how a neuronal system exerts influence over other regions of the brain, in different groups of subjects are still being investigated. Limited information was seen about the relationship between precuneus (PRE) which is a wellknown resting state hub with supramarginal gyrus (SMG) in healthy subjects (HS) and temporal lobe epilepsy (TLE) participants.

    MATERIALS AND METHODS: Fourteen HS and 14 TLE patients with age and gender matched underwent resting state functional magnetic resonance imaging (rsfMRI) scanning using a 3-Tesla MRI machine to investigate the EC and percentage of amplitude fluctuation (PerAF) involving SMG and PRE. The rsfMRI data were analysed using Statistical Parametric Mapping (SPM12) and Spectral Dynamic Causal Modelling (spDCM) from which causal models were specified, estimated and inferred.

    RESULTS: Model with bidirectional connections between PRE and SMG was chosen as the winning model. The EC from PRE to SMG is positive but the EC from SMG to PRE is negative in both hemispheres and in HS and TLE. Based on the findings from the EC analysis, there is an excitatory effect shown by PRE to SMG connection indicating a dominant role of PRE over SMG in both groups.

    CONCLUSION: There is important evidence showing that PRE might also have influence on areas outside resting state network and the influence changes in the presence of brain abnormality.

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