Displaying all 4 publications

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  1. Gee TS, Ghani ARI, Idris B, Awang MS
    Med J Malaysia, 2012 Aug;67(4):438-41.
    PMID: 23082462 MyJurnal
    Matched MeSH terms: Glioblastoma/diagnosis*
  2. Fauzi MF, Gokozan HN, Elder B, Puduvalli VK, Pierson CR, Otero JJ, et al.
    J Neurooncol, 2015 Sep;124(3):393-402.
    PMID: 26255070 DOI: 10.1007/s11060-015-1872-4
    We present a computer aided diagnostic workflow focusing on two diagnostic branch points in neuropathology (intraoperative consultation and p53 status in tumor biopsy specimens) by means of texture analysis via discrete wavelet frames decomposition. For intraoperative consultation, our methodology is capable of classifying glioblastoma versus metastatic cancer by extracting textural features from the non-nuclei region of cytologic preparations based on the imaging characteristics of glial processes, which appear as anisotropic thin linear structures. For metastasis, these are homogeneous in appearance, thus suitable and extractable texture features distinguish the two tissue types. Experiments on 53 images (29 glioblastomas and 24 metastases) resulted in average accuracy as high as 89.7 % for glioblastoma, 87.5 % for metastasis and 88.7 % overall. For p53 interpretation, we detect and classify p53 status by classifying staining intensity into strong, moderate, weak and negative sub-classes. We achieved this by developing a novel adaptive thresholding for detection, a two-step rule based on weighted color and intensity for the classification of positively and negatively stained nuclei, followed by texture classification to classify the positively stained nuclei into the strong, moderate and weak intensity sub-classes. Our detection method is able to correctly locate and distinguish the four types of cells, at 85 % average precision and 88 % average sensitivity rate. These classification methods on the other hand recorded 81 % accuracy in classifying the positive and negative cells, and 60 % accuracy in further classifying the positive cells into the three intensity groups, which is comparable with neuropathologists' markings.
    Matched MeSH terms: Glioblastoma/diagnosis*
  3. Chong PK, Loo AV
    Med J Malaysia, 2008 Dec;63(5):406-7.
    PMID: 19803301 MyJurnal
    We report a 33-year-old Chinese gentleman who presented with visual epilepsy and symptoms of raised intracranial pressure in which clinical examination revealed normal visual fields and acuity despite Magnetic Resonance Imaging (MRI) brain showing large contrast enhancing mass at the right occipital lobe. Craniotomy and excision of tumour was done and the histology confirmed glioblastoma multiforme (GBM). He completed radiotherapy and recovered well except developing left inferior homonymous quadrantropia post operatively which improved with time.
    Matched MeSH terms: Glioblastoma/diagnosis
  4. Yusoff AA, Abdullah J, Abdullah MR, Mohd Ariff AR, Isa MN
    Acta Neurochir (Wien), 2004 Jun;146(6):595-601.
    PMID: 15168228
    Alteration of the tumor suppressor gene p53 is considered to be a critical step in the development of human cancer. Changes in this gene have been detected in a wide range of human tumours, including gliomas. In glioma, the presence of p53 gene alterations has been associated with worse prognosis.
    Matched MeSH terms: Glioblastoma/diagnosis
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