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  1. Hooi LN, Hamzah KM, Jahizah H
    Med J Malaysia, 2003 Oct;58(4):490-8.
    PMID: 15190623
    A study was done on survival of patients surgically treated for lung cancer from 1995-2001. The average operative rate for 852 patients was 4.8%. In 67 surgically treated patients (54M, 13F), the commonest histological type was squamous cell carcinoma (52.2%) followed by adenocarcinoma (26.9%). The surgical-pathological stage was stage I in 52.2%. Postoperatively, five-year survival was 29%, with a median survival of 27 months. Completeness of resection was the foremost determinant of survival outcome and stage higher than stage I was an adverse prognostic factor. These results indicate that the current outlook for lung cancer patients remains poor.


    Study site: Hospital Pulau Pinang
  2. Liew WX, Lam HY, Narasimman S, Navarasi S, Mohd Hamzah K
    Med J Malaysia, 2016 02;71(1):32-4.
    PMID: 27130743
    Mediastinal teratoma is an infrequent germ cell tumour and comprises of 1 to 5% of all mediastinal tumours. We report a case of mediastinal mature teratoma in a 12 year old boy who presented to us with persistent non-productive cough, fever and dyspnoea for the past 7 months. Computed tomographic scan of thorax revealed a large anterior mediastinal mass measuring 11.2x9.9x14cm with calcification within. He subsequently underwent a median sternotomy with left subcostal extension (L-incision) and excision of tumour. Histopathology of the tumour revealed a mature cystic teratoma. We would like to report a case of successful surgical management of a large mediastinal mature teratoma in a child.
  3. Basri NA, Hashim S, Ramli AT, Bradley DA, Hamzah K
    J Radiol Prot, 2016 Dec;36(4):R96-R111.
    PMID: 27631675
    Malaysia has initiated a range of pre-project activities in preparation for its planned nuclear power programme. Clearly one of the first steps is the selection of sites that are deemed suitable for the construction and operation of a nuclear power plant. Here we outline the Malaysian regulatory requirements for nuclear power plant site selection, emphasizing details of the selection procedures and site characteristics needed, with a clear focus on radiation safety and radiation protection in respect of the site surroundings. The Malaysia Atomic Energy Licensing Board (AELB) site selection guidelines are in accord with those provided in International Atomic Energy Agency (IAEA) and United Stated Nuclear Regulatory Commission (USNRC) documents. To enhance the suitability criteria during selection, as well as to assist in the final decision making process, possible assessments using the site selection characteristics and information are proposed.
  4. Saleh MA, Ramli AT, bin Hamzah K, Alajerami Y, Moharib M, Saeed I
    J Environ Radioact, 2015 Oct;148:111-22.
    PMID: 26142818 DOI: 10.1016/j.jenvrad.2015.05.019
    This study aims to predict and estimate unmeasured terrestrial gamma dose rate (TGDR) using statistical analysis methods to derive a model from the actual measurement based on geological formation and soil type. The measurements of TGDR were conducted in the state of Johor with a total of 3873 measured points which covered all geological formations, soil types and districts. The measurements were taken 1 m above the soil surface using NaI [Ti] detector. The measured gamma dose rates ranged from 9 nGy h(-1) to 1237 nGy h(-1) with a mean value of 151 nGy h(-1). The data have been normalized to fit a normal distribution. Tests of significance were conducted among all geological formations and soil types, using the unbalanced one way ANOVA. The results indicated strong significant differences due to the different geological formations and soil types present in Johor State. Pearson Correlation was used to measure the relations between gamma dose rate based on geological formation and soil type (D(G,S)) with the gamma dose rate based on geological formation (D(G)) or soil type (D(s)). A very good correlation was found between D(G,S) and D(G) or D(G,S) and D(s). A total of 118 pairs of geological formations and soil types were used to derive the statistical contribution of geological formations and soil types to gamma dose rates. The contribution of the gamma dose rate from geological formation and soil type were found to be 0.594 and 0.399, respectively. The null hypotheses were accepted for 83% of examined data, therefore, the model could be used to predict gamma dose rates based on geological formation and soil type information.
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