Displaying publications 21 - 40 of 98 in total

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  1. Tan WM, Ng WL, Ganggayah MD, Hoe VCW, Rahmat K, Zaini HS, et al.
    Health Informatics J, 2023;29(3):14604582231203763.
    PMID: 37740904 DOI: 10.1177/14604582231203763
    Radiology reporting is narrative, and its content depends on the clinician's ability to interpret the images accurately. A tertiary hospital, such as anonymous institute, focuses on writing reports narratively as part of training for medical personnel. Nevertheless, free-text reports make it inconvenient to extract information for clinical audits and data mining. Therefore, we aim to convert unstructured breast radiology reports into structured formats using natural language processing (NLP) algorithm. This study used 327 de-identified breast radiology reports from the anonymous institute. The radiologist identified the significant data elements to be extracted. Our NLP algorithm achieved 97% and 94.9% accuracy in training and testing data, respectively. Henceforth, the structured information was used to build the predictive model for predicting the value of the BIRADS category. The model based on random forest generated the highest accuracy of 92%. Our study not only fulfilled the demands of clinicians by enhancing communication between medical personnel, but it also demonstrated the usefulness of mineable structured data in yielding significant insights.
    Matched MeSH terms: Radiology*
  2. Ng KH, McLean ID
    Semin Musculoskelet Radiol, 2011 Nov;15(5):441-5.
    PMID: 22081279 DOI: 10.1055/s-0031-1293490
    An estimated two thirds of the world's population is currently without access to diagnostic radiology services, and most of them live in resource-limited tropical regions with harsh environments. Most patients are diagnosed and treated in poorly equipped government-funded hospitals and clinics that have insufficiently trained staff and are barely operational. Any available imaging equipment is likely to be functioning suboptimally and be poorly maintained. The root of the problem is usually a lack of know-how and a quality culture, combined with insufficient basic equipment and infrastructure. Radiological imaging is an essential aspect of primary care and used in the critical diagnosis and management of trauma, tuberculosis, pneumonia, acquired immunodeficiency syndrome, cancer, and other respiratory and abdominal diseases. Considerations such as quality management and infrastructure, personnel, equipment, and radiation protection and safety are important to ensure the proper functioning and rational use of a diagnostic radiology facility in the tropics.
    Matched MeSH terms: Radiology/education; Radiology/instrumentation; Radiology/manpower; Radiology/standards*
  3. Azlan CA, Ng KH, Anandan S, Nizam MS
    Australas Phys Eng Sci Med, 2006 Sep;29(3):278-80.
    PMID: 17058591
    Illuminance level in the softcopy image viewing room is a very important factor to optimize productivity in radiological diagnosis. In today's radiological environment, the illuminance measurements are normally done during the quality control procedure and performed annually. Although the room is equipped with dimmer switches, radiologists are not able to decide the level of illuminance according to the standards. The aim of this study is to develop a simple real-time illuminance detector system to assist the radiologists in deciding an adequate illuminance level during radiological image viewing. The system indicates illuminance in a very simple visual form by using light emitting diodes. By employing the device in the viewing room, illuminance level can be monitored and adjusted effectively.
    Matched MeSH terms: Radiology/instrumentation*; Radiology/methods
  4. Choong MK, Logeswaran R, Bister M
    J Med Syst, 2006 Jun;30(3):139-43.
    PMID: 16848126
    This paper attempts to improve the diagnostic quality of magnetic resonance (MR) images through application of lossy compression as a noise-reducing filter. The amount of imaging noise present in MR images is compared with the amount of noise introduced by the compression, with particular attention given to the situation where the compression noise is a fraction of the imaging noise. A popular wavelet-based algorithm with good performance, Set Partitioning in Hierarchical Trees (SPIHT), was employed for the lossy compression. Tests were conducted with a number of MR patient images and corresponding phantom images. Different plausible ratios between imaging noise and compression noise (ICR) were considered, and the achievable compression gain through the controlled lossy compression was evaluated. Preliminary results show that at certain ICR's, it becomes virtually impossible to distinguish between the original and compressed-decompressed image. Radiologists presented with a blind test, in certain cases, showed preference to the compressed image rather than the original uncompressed ones, indicating that under controlled circumstances, lossy image compression can be used to improve the diagnostic quality of the MR images.
    Matched MeSH terms: Radiology/methods*
  5. Abdullah BJ, Ng KH
    Br J Radiol, 2001 Aug;74(884):675-6.
    PMID: 11511489
    Matched MeSH terms: Radiology/standards*
  6. Ng KH, Niroomand-Rad A, Hendee WR
    Med Phys, 2001 Dec;28(12):2391-3.
    PMID: 11797940
    Matched MeSH terms: Radiology/trends*
  7. Khor HL, Liew SC, Zain JM
    J Digit Imaging, 2017 Jun;30(3):328-349.
    PMID: 28050716 DOI: 10.1007/s10278-016-9930-9
    Tampering on medical image will lead to wrong diagnosis and treatment, which is life-threatening; therefore, digital watermarking on medical image was introduced to protect medical image from tampering. Medical images are divided into region of interest (ROI) and region of non-interest (RONI). ROI is an area that has a significant impact on diagnosis, whereas RONI has less or no significance in diagnosis. This paper has proposed ROI-based tamper detection and recovery watermarking scheme (ROI-DR) that embeds ROI bit information into RONI least significant bits, which will be extracted later for authentication and recovery process. The experiment result has shown that the ROI-DR has achieved a good result in imperceptibility with peak signal-to-noise ratio (PSNR) values approximately 48 dB, it is robust against various kinds of tampering, and the tampered ROI was able to recover to its original form. Lastly, a comparative table with the previous research (TALLOR and TALLOR-RS watermarking schemes) has been derived, where these three watermarking schemes were tested under the same testing conditions and environment. The experiment result has shown that ROI-DR has achieved speed-up factors of 22.55 and 26.65 in relative to TALLOR and TALLOR-RS watermarking schemes, respectively.
    Matched MeSH terms: Radiology Information Systems/standards
  8. Tan LK, Wong JH, Ng KH
    AJR Am J Roentgenol, 2006 Mar;186(3):898-901.
    PMID: 16498128
    The purpose of this article was to develop a low-cost method for high-quality remote capturing and recording of multimedia presentations.
    Matched MeSH terms: Radiology/education*
  9. Khoo FY
    Singapore Med J, 1972 Feb;13(1):65-73.
    PMID: 4555689
    Matched MeSH terms: Radiology/history*
  10. Yeoh JPS, Spence C
    HERD, 2023 Jul;16(3):278-290.
    PMID: 37016842 DOI: 10.1177/19375867231161094
    OBJECTIVES: To assess the impact of different types of background music on patients' anxiety and perceptions in a healthcare setting.

    BACKGROUND: An overwhelming number of studies in the West have been conducted on the use of background music in reducing patients' anxiety and their perception of hospitals. Despite the optimism for Western classical music in such settings, evidence documenting the successful use of this genre of music in waiting rooms across other people groups has, thus far, been inconclusive.

    METHOD: A single-blind randomized study in which a total of 303 participants were recruited from both surgery and radiology clinics using a between-groups experimental design. Patients were seated in the waiting room for at least 20 min while music (Western classical, lo-fi) or no music was playing in the background. Participants were then required to complete a questionnaire that consisted of a shortened 6-item State Trait Anxiety Inventory (STAI-6), and eight questions relating to overall perceptions of the hospital.

    RESULTS: The results from both clinics revealed that patients in the no music condition rated themselves as feeling significantly less anxious than those in either of the two music conditions. Patients' perceptions of the hospital's overall service and expectations were higher in the no music condition.

    CONCLUSIONS: Firstly, the choice of background music should match the differing pace of the day; for example, a more upbeat song would better fit the mood of a busy clinic, leading to a more "congruent" atmosphere. Secondly, playing background music in a "task-oriented" and highly charged/anxious environment may increase arousal levels, which in turn could result in negative perceptions of the hospital and an increase in anxiety among patients. Finally, music is a cultural product and music that primes certain beliefs in one culture may not have similar effects among other people groups. Hence, specific curated playlists are necessary to convey "intentions" to different people groups.

    Matched MeSH terms: Radiology*
  11. Juanna Bahadun, Abou-Hamden, Amal, Anderson, Peter J.
    MyJurnal
    Paediatric facial traumas are often accompanied by other intracranial and non-head injuries. Use of
    Computed Tomography (CT) has increased diagnostic accuracy when compared to plain radiographs alone. Coexisting anomalies can sometimes be a chance finding from the imagings and this highlights the need of a formalreporting by a radiologist. We report a case of a traumatic unilateral condylar fracture with a coexisting life-threatening abnormality detected from careful assessment of the imagings.
    Matched MeSH terms: Radiology
  12. Bajuri MY, Boon HW
    Malays Orthop J, 2018 Mar;12(1):60-62.
    PMID: 29725518 MyJurnal DOI: 10.5704/MOJ.1803.015
    Bilateral clavicle fractures are not frequently seen. To treat these injuries surgically or non-surgically is still a debatable issue. Implant option for surgical management is also in doubt. We would like to share our experience in treating a patient with bilateral clavicle fracture surgically. He had excellent outcomes in terms of function and radiology. Surgical option for bilateral clavicle fractures promises excellent outcome in terms of early rehabilitation and return in function.
    Matched MeSH terms: Radiology
  13. Radhiana Hassan, Haziq Hussaini Fauzi, Kamil Irsyad Yusoff, Muhammad Faizol Mohd Satar, Hafizah Pasi
    MyJurnal
    Radiological manifestation of pulmonary tuberculosis in HIV positive
    patients is different with HIV negative patients. We aim to determine the differences in
    chest radiological findings of Pulmonary Tuberculosis among HIV and non-HIV infected
    patients in HTAA. (Copied from article).
    Matched MeSH terms: Radiology
  14. Norzila, A.B., Wong, M.P.K.
    MyJurnal
    Malignant pedunculated (exophytic) hepatocellular carcinoma (P-HCC) is a rare entity of hepatocellular
    carcinoma. Due to its unique characteristics, it gives a different spectrum of clinical findings, radiological
    presentation and different management approach with reported better outcome to the patients. We
    present a case report of a lady diagnosed with malignant pedunculated hepatocellular carcinoma.
    Matched MeSH terms: Radiology
  15. Ai CJ, Jabar NA, Lan TH, Ramli R
    J Clin Imaging Sci, 2017;7:28.
    PMID: 28781925 DOI: 10.4103/jcis.JCIS_28_17
    Enlargement of the mandibular canal is a rare radiological finding. Clinically, it may or may not be associated with sensory deficits. We report four cases of widening of the mandibular canal observed with various methods of imaging with different clinical characteristics. We describe this unique radiological finding and elaborate the importance of quality assessment of the imaging that is vital for accurate diagnosis and treatment planning. Clinicians should be mindful when assessing the imaging whenever the size of the mandibular canal is implicated. The case ranged from a benign tumor to malignancy, radiological errors, and artifacts. A more superior imaging or treatment modality was necessary to ascertain the diagnosis.
    Matched MeSH terms: Radiology
  16. Acharya UR, Hagiwara Y, Sudarshan VK, Chan WY, Ng KH
    J Zhejiang Univ Sci B, 2018 1 9;19(1):6-24.
    PMID: 29308604 DOI: 10.1631/jzus.B1700260
    Radiology (imaging) and imaging-guided interventions, which provide multi-parametric morphologic and functional information, are playing an increasingly significant role in precision medicine. Radiologists are trained to understand the imaging phenotypes, transcribe those observations (phenotypes) to correlate with underlying diseases and to characterize the images. However, in order to understand and characterize the molecular phenotype (to obtain genomic information) of solid heterogeneous tumours, the advanced sequencing of those tissues using biopsy is required. Thus, radiologists image the tissues from various views and angles in order to have the complete image phenotypes, thereby acquiring a huge amount of data. Deriving meaningful details from all these radiological data becomes challenging and raises the big data issues. Therefore, interest in the application of radiomics has been growing in recent years as it has the potential to provide significant interpretive and predictive information for decision support. Radiomics is a combination of conventional computer-aided diagnosis, deep learning methods, and human skills, and thus can be used for quantitative characterization of tumour phenotypes. This paper discusses the overview of radiomics workflow, the results of various radiomics-based studies conducted using various radiological images such as computed tomography (CT), magnetic resonance imaging (MRI), and positron-emission tomography (PET), the challenges we are facing, and the potential contribution of radiomics towards precision medicine.
    Matched MeSH terms: Radiology/methods*; Radiology, Interventional/methods*
  17. Fum WKS, Md Shah MN, Raja Aman RRA, Abd Kadir KA, Wen DW, Leong S, et al.
    Phys Eng Sci Med, 2023 Dec;46(4):1535-1552.
    PMID: 37695509 DOI: 10.1007/s13246-023-01317-5
    In fluoroscopy-guided interventions (FGIs), obtaining large quantities of labelled data for deep learning (DL) can be difficult. Synthetic labelled data can serve as an alternative, generated via pseudo 2D projections of CT volumetric data. However, contrasted vessels have low visibility in simple 2D projections of contrasted CT data. To overcome this, we propose an alternative method to generate fluoroscopy-like radiographs from contrasted head CT Angiography (CTA) volumetric data. The technique involves segmentation of brain tissue, bone, and contrasted vessels from CTA volumetric data, followed by an algorithm to adjust HU values, and finally, a standard ray-based projection is applied to generate the 2D image. The resulting synthetic images were compared to clinical fluoroscopy images for perceptual similarity and subject contrast measurements. Good perceptual similarity was demonstrated on vessel-enhanced synthetic images as compared to the clinical fluoroscopic images. Statistical tests of equivalence show that enhanced synthetic and clinical images have statistically equivalent mean subject contrast within 25% bounds. Furthermore, validation experiments confirmed that the proposed method for generating synthetic images improved the performance of DL models in certain regression tasks, such as localizing anatomical landmarks in clinical fluoroscopy images. Through enhanced pseudo 2D projection of CTA volume data, synthetic images with similar features to real clinical fluoroscopic images can be generated. The use of synthetic images as an alternative source for DL datasets represents a potential solution to the application of DL in FGIs procedures.
    Matched MeSH terms: Radiology, Interventional
  18. Chen SC, Jong WL, Harun AZ
    Malays J Med Sci, 2012 Jul;19(3):22-8.
    PMID: 23610546 MyJurnal
    Different computational methods have been used for the prediction of X-ray spectra and beam quality in diagnostic radiology. The purpose of this study was to compare X-ray beam qualities based on half-value layers (HVLs) determined through measurements and computational model estimations.
    Matched MeSH terms: Radiology
  19. Logeswaran R, Eswaran C
    J Med Syst, 2006 Apr;30(2):133-8.
    PMID: 16705998
    Many medical examinations involve acquisition of a large series of slice images for 3D reconstruction of the organ of interest. With the paperless hospital concept and telemedicine, there is very heavy utilization of limited electronic storage and transmission bandwidth. This paper proposes model-based compression to reduce the load on such resources, as well as aid diagnosis through the 3D reconstruction of the structures of interest, for images acquired by various modalities, such as MRI, Ultrasound, CT, PET etc. and stored in the DICOM file format. An example implementation for the biliary track in MRCP images is illustrated in the paper. Significant compression gains may be derived from the proposed method, and a suitable mixture of the models and raw images would enhance the patient medical history archives as the models may be stored in the DICOM file format used in most medical archiving systems.
    Matched MeSH terms: Radiology Information Systems*
  20. Krishnan G
    Med J Malaysia, 1992 Sep;47(3):190-3.
    PMID: 1491644
    Maxillary sinuses plain film radiographs of 59 patients were reviewed and reported by both clinicians or Radiologists at the University Hospital, Kuala Lumpur. There was agreement in 52 reports of the plain film radiographs however there was partial differences in about seven cases. This gave an impression that the ENT specialist and the Radiologist were both capable of reporting plain film radiographs of maxillary sinuses, even though the radiologist has no opportunity of doing detail clinical examination of the patient.
    Matched MeSH terms: Radiology*
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