Displaying publications 681 - 700 of 5835 in total

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  1. Desowitz RS
    Med J Malaya, 1966 Sep;21(1):35-40.
    PMID: 4224875
    Matched MeSH terms: Parasitic Diseases/diagnosis*
  2. Halstead SB
    Bull World Health Organ, 1966;35(1):3-15.
    PMID: 5297536
    During the past decade outbreaks of a severe haemorrhagic disease caused by dengue viruses of multiple types have been reported in the Philippines, Thailand, Malaysia, Viet-Nam and eastern India. In many of these outbreaks chikungunya virus, a group A arbovirus, was simultaneously the cause of similar but probably milder disease. Both these viruses appear to be able to be able to produce classical dengue fever in some individuals and disease with haemorrhagic manifestations in others. Because of the growing public health importance and the progressive spread of this disease a unified review of its clinical and epidemiological features has been needed. This paper presents the history and salient clinical features of mosquito-borne haemorrhagic fever and summarizes recent epidemiological studies and current diagnostic and control methods.
    Matched MeSH terms: Hemorrhagic Fevers, Viral/diagnosis
  3. KIM CK
    Med J Malaysia, 1964 Dec;19:140-4.
    PMID: 14279237
    Matched MeSH terms: Neoplasms/diagnosis*
  4. Chaubal T, Bapat R
    Am J Med, 2017 Dec;130(12):e533-e534.
    PMID: 28716459 DOI: 10.1016/j.amjmed.2017.06.016
    Matched MeSH terms: Glossitis, Benign Migratory/diagnosis*
  5. Chaubal T, Bapat R
    Am J Med, 2017 Nov;130(11):e493-e494.
    PMID: 28602875 DOI: 10.1016/j.amjmed.2017.05.020
    Matched MeSH terms: Gingivitis, Necrotizing Ulcerative/diagnosis*
  6. Chiu PWY, Uedo N, Singh R, Gotoda T, Ng EKW, Yao K, et al.
    Gut, 2019 02;68(2):186-197.
    PMID: 30420400 DOI: 10.1136/gutjnl-2018-317111
    BACKGROUND: This is a consensus developed by a group of expert endoscopists aiming to standardise the preparation, process and endoscopic procedural steps for diagnosis of early upper gastrointestinal (GI) cancers.

    METHOD: The Delphi method was used to develop consensus statements through identification of clinical questions on diagnostic endoscopy. Three consensus meetings were conducted to consolidate the statements and voting. We conducted a systematic literature search on evidence for each statement. The statements were presented in the second consensus meeting and revised according to comments. The final voting was conducted at the third consensus meeting on the level of evidence and agreement.

    RESULTS: Risk stratification should be conducted before endoscopy and high risk endoscopic findings should raise an index of suspicion. The presence of premalignant mucosal changes should be documented and use of sedation is recommended to enhance detection of superficial upper GI neoplasms. The use of antispasmodics and mucolytics enhanced visualisation of the upper GI tract, and systematic endoscopic mapping should be conducted to improve detection. Sufficient examination time and structured training on diagnosis improves detection. Image enhanced endoscopy in addition to white light imaging improves detection of superficial upper GI cancer. Magnifying endoscopy with narrow-band imaging is recommended for characterisation of upper GI superficial neoplasms. Endoscopic characterisation can avoid unnecessary biopsy.

    CONCLUSION: This consensus provides guidance for the performance of endoscopic diagnosis and characterisation for early gastric and oesophageal neoplasia based on the evidence. This will enhance the quality of endoscopic diagnosis and improve detection of early upper GI cancers.

    Matched MeSH terms: Gastrointestinal Neoplasms/diagnosis*
  7. Nilashi M, Bin Ibrahim O, Mardani A, Ahani A, Jusoh A
    Health Informatics J, 2018 12;24(4):379-393.
    PMID: 30376769 DOI: 10.1177/1460458216675500
    As a chronic disease, diabetes mellitus has emerged as a worldwide epidemic. The aim of this study is to classify diabetes disease by developing an intelligence system using machine learning techniques. Our method is developed through clustering, noise removal and classification approaches. Accordingly, we use expectation maximization, principal component analysis and support vector machine for clustering, noise removal and classification tasks, respectively. We also develop the proposed method for incremental situation by applying the incremental principal component analysis and incremental support vector machine for incremental learning of data. Experimental results on Pima Indian Diabetes dataset show that proposed method remarkably improves the accuracy of prediction and reduces computation time in relation to the non-incremental approaches. The hybrid intelligent system can assist medical practitioners in the healthcare practice as a decision support system.
    Matched MeSH terms: Diabetes Mellitus/diagnosis
  8. Gan HS, Sayuti KA, Ramlee MH, Lee YS, Wan Mahmud WMH, Abdul Karim AH
    Int J Comput Assist Radiol Surg, 2019 May;14(5):755-762.
    PMID: 30859457 DOI: 10.1007/s11548-019-01936-y
    PURPOSE: Manual segmentation is sensitive to operator bias, while semiautomatic random walks segmentation offers an intuitive approach to understand the user knowledge at the expense of large amount of user input. In this paper, we propose a novel random walks seed auto-generation (SAGE) hybrid model that is robust to interobserver error and intensive user intervention.

    METHODS: Knee image is first oversegmented to produce homogeneous superpixels. Then, a ranking model is developed to rank the superpixels according to their affinities to standard priors, wherein background superpixels would have lower ranking values. Finally, seed labels are generated on the background superpixel using Fuzzy C-Means method.

    RESULTS: SAGE has achieved better interobserver DSCs of 0.94 ± 0.029 and 0.93 ± 0.035 in healthy and OA knee segmentation, respectively. Good segmentation performance has been reported in femoral (Healthy: 0.94 ± 0.036 and OA: 0.93 ± 0.034), tibial (Healthy: 0.91 ± 0.079 and OA: 0.88 ± 0.095) and patellar (Healthy: 0.88 ± 0.10 and OA: 0.84 ± 0.094) cartilage segmentation. Besides, SAGE has demonstrated greater mean readers' time of 80 ± 19 s and 80 ± 27 s in healthy and OA knee segmentation, respectively.

    CONCLUSIONS: SAGE enhances the efficiency of segmentation process and attains satisfactory segmentation performance compared to manual and random walks segmentation. Future works should validate SAGE on progressive image data cohort using OA biomarkers.

    Matched MeSH terms: Osteoarthritis, Knee/diagnosis*
  9. Forouzanfar F, Shojapour M, Asgharzade S, Amini E
    CNS Neurol Disord Drug Targets, 2019;18(3):212-221.
    PMID: 30714533 DOI: 10.2174/1871527318666190204104629
    Stroke continues to be a major cause of death and disability worldwide. In this respect, the most important mechanisms underlying stroke pathophysiology are inflammatory pathways, oxidative stress, as well as apoptosis. Accordingly, miRNAs are considered as non-coding endogenous RNA molecules interacting with their target mRNAs to inhibit mRNA translation or reduce its transcription. Studies in this domain have similarly shown that miRNAs are strongly associated with coronary artery disease and correspondingly contributed to the brain ischemia molecular processes. To retrieve articles related to the study subject, i.e. the role of miRNAs involved in inflammatory pathways, oxidative stress, and apoptosis in stroke from the databases of Web of Science, PubMed (NLM), Open Access Journals, LISTA (EBSCO), and Google Scholar; keywords including cerebral ischemia, microRNA (miRNA), inflammatory pathway, oxidative stress, along with apoptosis were used. It was consequently inferred that, miRNAs could be employed as potential biomarkers for diagnosis and prognosis, as well as therapeutic goals of cerebral ischemia.
    Matched MeSH terms: Reperfusion Injury/diagnosis
  10. Liew A, Bavanandan S, Prasad N, Wong MG, Chang JM, Eiam-Ong S, et al.
    Nephrology (Carlton), 2020 Nov;25(11):809-817.
    PMID: 33111435 DOI: 10.1111/nep.13804
    Matched MeSH terms: Diabetic Nephropathies/diagnosis
  11. Looi LM, Zubaidah Z, Cheah PL, Cheong SK, Gudum HR, Iekhsan O, et al.
    Malays J Pathol, 2004 Jun;26(1):13-27.
    PMID: 16190103
    Cancer is a major morbidity and mortality concern in Malaysia. Based on National Cancer Registry data, the Malaysian population is estimated to bear a cancer burden of about 40,000 new cases per year, and a cumulative lifetime risk of about 1:4. Cancer research in Malaysia has to consider needs relevant to our population, and resources constraints. Hence, funding bodies prioritise cancers of high prevalence, unique to our community and posing specific clinical problems. Cancer diagnosis is crucial to cancer management. While cancer diagnosis research largely aims at improvements in diagnostic information towards more appropriate therapy, it also impacts upon policy development and other areas of cancer management. The scope of cancer diagnosis upon which this paper is based, and their possible impact on other R&D areas, has been broadly categorized into: (1) identification of aetiological agents and their linkages to the development of precancer and cancer (impact on policy development, cancer prevention and treatment), (2) cancer biology and pathogenesis (impact on cancer prevention, treatment strategies and product development), (3) improvements in accuracy, sensitivity and specificity in cancer detection, monitoring and classification (impact on technology development) and (4) prognostic and predictive parameters (impact on treatment strategies). This paper is based on data collected by the Working Group on Cancer Diagnosis Research for the First National Conference on Cancer Research Coordination in April 2004. Data was collated from the databases of Institutions/Universities where the authors are employed, the Ministry of Science, Technology and Innovation (MOSTI) and targeted survey feedback from key cancer researchers. Under the 7th Malaysia Plan, 76 cancer projects were funded through the Intensified Research in Priority Areas (IRPA) scheme of MOSTI, amounting to almost RM15 million of grant money. 47(61.8%) of these projects were substantially in cancer diagnosis, accounting for 65.6% (RM 9.7 million) of cancer project funds. The 8th Malaysia Plan saw a change in research strategy. The IRPA agency fielded several top-down projects which encouraged a multicentre and multidisciplinary approach. This resulted in larger funding per project i.e. RM32 million for 49 projects. There was also a surge of interest in drug development and natural products. Because of this shift in direction, cancer diagnosis projects constituted only 51% of IRPA-funded cancer projects. Nonetheless funding for cancer diagnosis research has exceeded that of the 7th Malaysia Plan, being RM12.5 million by March 2004. The majority of such research is carried out at the Universities, engaging a large number of young scientists and postgraduate students (51 MSc and 21 PhD). A lot of research findings presented at scientific meetings have not yet been published and there is a glaring shortage of patents and commercialization of research findings (such as creation of test kits). Because diagnosis is very much a part of clinical practice, many researchers felt satisfied and confident that their work will be translated into practice and will significantly improve diagnostic services in Malaysia. National guidelines and consensus development on at least three malignancies i.e. breast cancer, oral cancer and lymphoma, have substantial basis in local R&D work. Problems encountered in research included (1) insufficient funding to realize research objectives, (2) lack of local expertise (most research assistants are inexperienced BSc graduates with no or minimal research experience), (3) inadequate technical support from vendors during equipment failure, (4) inexperienced Institutional development units to assist in product development, (5) lack of venture capital for commercialization of findings, and (6) inadequate incentives to undertake research. Researchers pointed out that plans to promote research should include the establishment of (1) regional and national cancer tissue banks, (2) a National Cancer Research Institute, (3) a dedicated cancer research fund, (4) a registry of cancer researchers, (5) national research coordinators, (6) improved coverage by the National Cancer Registry, (7) more international collaboration, (8) a better career structure for researchers, (9) improved Institutional support for product realization, and (10) better recognition for cancer researchers.
    Matched MeSH terms: Neoplasms/diagnosis*
  12. Dhunputh P, Acharya R, Umakanth S, Shetty SM, Mohammed AP, Saraswat PP
    Kathmandu Univ Med J (KUMJ), 2021 11 26;19(74):248-252.
    PMID: 34819445
    Background Thrombocytopenia is a common haematological abnormality noted in clinical practice, however, it can be missed in cases where specific investigations are not asked for. Acute Febrile Illness with thrombocytopenia is a diagnostic and therapeutic challenge, as thrombocytopenia has an inverse relation to mortality and morbidity in various febrile illnesses. Vector-borne and zoonotic diseases (like malaria, dengue, scrub typhus, and leptospirosis), infections and sepsis are some of the common causes of fever with thrombocytopenia. Objective To identify the causes of fever with thrombocytopenia, assess the clinical complications associated with febrile thrombocytopenia, and overall study the clinical profile of thrombocytopenia in a tertiary care hospital Method Medical records of all adult patients, admitted to a tertiary level hospital, with fever and thrombocytopenia (platelet count < 1,00,000 /mm3 ) were assessed (from October 2009 to March 2011). Detailed case history, general physical examination findings, routine and specific examinations were recorded according to a pre-decided format. Data were analysed using SPSS 16.0 Result Acute febrile illness with thrombocytopenia was most commonly seen in Dengue patients. Headache and arthralgia were more commonly encountered in scrub typhus. Platelet transfusions were necessitated in a large number of patients, especially in scrub typhus. Malaria patients had the highest mortality rate. Conclusion Acute Febrile Illnesses (AFI) are of varied origins, and proper diagnosis is imperative. The degree of thrombocytopenia in infections has a prognostic value. It can also help in differential diagnosis and clear identification of aetiology of acute febrile illnesses. Timely identification and management of thrombocytopenia in acute febrile illness can positively impact the overall patient outcome.
    Matched MeSH terms: Fever/diagnosis
  13. Sharif Nia H, Lehto RH, Pahlevan Sharif S, Mashrouteh M, Goudarzian AH, Rahmatpour P, et al.
    Omega (Westport), 2021 Sep;83(4):760-776.
    PMID: 31366310 DOI: 10.1177/0030222819865407
    Ensuring use of valid and reliable scales for evaluating death anxiety that are relevant to the cultural context where they are applied is essential. The purpose of the study was to conduct a systematic review of the psychometric properties of Templer's Death Anxiety Scale (DAS) across cultures. PubMed, Scopus, Web of Knowledge, SID, and Magiran databases were systematically searched for studies published between 1970 and 2017 using Mesh terms. Two independent researchers used Quality Assessment of Diagnostic Accuracy Studies and Checklist of Standards for Reporting of Diagnostic Accuracy to evaluate study quality. Included studies were conducted in Iran, United States, Italy, China, Egypt, Spain, and Australia. Overall study quality was acceptable in 15 evaluated articles. However, findings demonstrated that two (one study), three (seven studies), four (four studies), and five factors (three studies) were extracted across the respective studies. Confirmatory concurrent validity was assessed in two studies. While Templer's DAS has stood the test of time as a commonly used index of capturing the conscious experience of death anxiety, there are psychometric inconsistencies in identified factor solutions across cultures. Findings emphasize the need for continued evaluation of how the DAS is translated in specific countries with assessment in relation to other death construct tools.
    Matched MeSH terms: Anxiety/diagnosis
  14. Hag A, Handayani D, Altalhi M, Pillai T, Mantoro T, Kit MH, et al.
    Sensors (Basel), 2021 Dec 15;21(24).
    PMID: 34960469 DOI: 10.3390/s21248370
    In real-life applications, electroencephalogram (EEG) signals for mental stress recognition require a conventional wearable device. This, in turn, requires an efficient number of EEG channels and an optimal feature set. This study aims to identify an optimal feature subset that can discriminate mental stress states while enhancing the overall classification performance. We extracted multi-domain features within the time domain, frequency domain, time-frequency domain, and network connectivity features to form a prominent feature vector space for stress. We then proposed a hybrid feature selection (FS) method using minimum redundancy maximum relevance with particle swarm optimization and support vector machines (mRMR-PSO-SVM) to select the optimal feature subset. The performance of the proposed method is evaluated and verified using four datasets, namely EDMSS, DEAP, SEED, and EDPMSC. To further consolidate, the effectiveness of the proposed method is compared with that of the state-of-the-art metaheuristic methods. The proposed model significantly reduced the features vector space by an average of 70% compared with the state-of-the-art methods while significantly increasing overall detection performance.
    Matched MeSH terms: Stress, Psychological/diagnosis
  15. Rashid MF, Karobari MI, Halim MS, Noorani TY
    Biomed Res Int, 2022;2022:1263750.
    PMID: 35059458 DOI: 10.1155/2022/1263750
    Background: The caries preventive effect of Colgate Duraphat® and GC Tooth Mousse Plus® has been widely studied, but the remineralisation potential of initial occlusal caries using these two remineralisation materials remains unclear.

    Aim: This study is aimed at evaluating and comparing the remineralisation of early enamel caries on the occlusal surface of permanent posterior teeth using ICDAS II caries scoring system and DIAGNOdent Pen (DDPen) after remineralisation with Colgate Duraphat® and GC Tooth Mousse Plus®.

    Materials and Methods: Extracted posterior teeth (N = 120) with incipient occlusal caries were included in this study. The occlusal surface of each tooth was scored using DDPen and ICDAS II scoring before remineralisation. Then, remineralisation of the teeth of the experimental group was carried out using either CPP-ACP-F or fluoride varnish. After the remineralisation procedures, the occlusal surface of each tooth was again scored using DDPen and ICDAS II scoring. The teeth were then fixed in dental stone blocks and sectioned longitudinally for histological examination using a stereomicroscope. Statistical analysis was performed to calculate the sensitivity and specificity of DDPen and ICDAS II to detect remineralisation and compare with the gold standard histological examination.

    Results: According to ICDAS-II scores, a significant difference was noted in GC Tooth Mousse Plus® and Duraphat® study samples, whereas the difference between the pre-and post-remineralisation of the control group was not significant. According to the DDPen score criteria, a statistically significant difference was noted among all study groups; however, a greater significance level was noted in the GC Tooth Mousse Plus® and Duraphat® study samples compared with the control group. The Spearman's rank correlation of ICDAS-II and DDPen with Downer's histological score (gold standard) revealed a higher association of DDPen score (.738) as compared to ICDAS-II scores (.430).

    Conclusion: The study concluded that both ICDAS II and DDPen could detect remineralisation of early enamel occlusal caries. DDPen was more sensitive than ICDAS-II to detect remineralisation compared with the Downers histological scores.

    Matched MeSH terms: Dental Caries/diagnosis*
  16. Idris S, Daud S, Ahmad Sani N, Tee Mei Li S
    Am J Case Rep, 2021 Nov 17;22:e933438.
    PMID: 34785630 DOI: 10.12659/AJCR.933438
    BACKGROUND Adnexal torsion is a gynecologic emergency that dictates immediate surgical intervention. Twisted ovarian cysts are rare in adolescents, but they can cause significant distress to patients. Idiopathic ovarian torsion is uncommon in adolescents and the incidence is reportedly higher in women aged 20 to 40 years. Most twisted cysts in adolescents are benign. In the past, oophorectomy was commonly performed for a torsed ovary, but currently there is a trend toward ovary preservation. The diagnosis of twisted ovarian cyst is based on pathognomonic symptoms and findings from a focused clinical examination and ultrasound. Because the differential diagnosis includes acute appendicitis and gastroenteritis, referral to a gynecologist may be delayed. CASE REPORT We present the case of a huge, twisted ovarian cyst in a 16-year-old girl who presented with an acute abdomen. The initial diagnosis was acute appendicitis, which delayed her referral to a gynecologist. An emergency laparotomy and left salpingo-oophorectomy were performed. The histopathology of the ovarian cyst was reported as serous cystadenoma. CONCLUSIONS The optimal management of a twisted ovarian cyst in adolescents is the subject of much debate. Here, we review the literature on ovarian torsion in children and adolescents. The patient in the case we present had a twisted ovarian cyst that was managed with salpingo-oophorectomy.
    Matched MeSH terms: Torsion Abnormality/diagnosis
  17. Lim SY, Tan AH
    Parkinsonism Relat Disord, 2018 Jan;46 Suppl 1:S47-S52.
    PMID: 28793970 DOI: 10.1016/j.parkreldis.2017.07.029
    BACKGROUND: Conventional outcome measures (COMs) in Parkinson's disease (PD) refer to rating scales, questionnaires, patient diaries and clinically-based tests that do not require specialized equipment.

    METHODS: It is timely at this juncture - as clinicians and researchers begin to grapple with the "invasion" of digital technologies - to review the strengths and weaknesses of these outcome measures.

    RESULTS: This paper discusses advances (including an enhanced understanding of PD itself, and the development of clinimetrics as a field) that have led to improvements in the COMs used in PD; their strengths and limitations; and factors to consider when selecting and using a measuring instrument.

    CONCLUSIONS: It is envisaged that in the future, a combination of COMs and technology-based objective measures will be utilized, with different methods having their own strengths and weaknesses. Judgement is required on the part of the clinician and researcher in terms of which instrument(s) are appropriate to use, depending on the particular clinical or research setting or question.

    Matched MeSH terms: Parkinson Disease/diagnosis*
  18. Tsapaki V, Ibbott G, Krisanachinda A, Ng KH, Suh TS, Tabakov S, et al.
    Phys Med, 2017 Dec;44:196-198.
    PMID: 29221890 DOI: 10.1016/j.ejmp.2017.11.022
    As medical technology evolves and patient needs increase, the need for well-trained and highly professional medical physicists (MPs) becomes even more urgent. The roles and responsibilities of MPs in various departments within the hospital are diverse and demanding. It is obvious that training, continuing education and professional development of MPs have become essential. One of the ways for an MP to advance his or her knowledge is to participate in conferences and congresses. Last year, the 22nd International Conference of Medical Physics (ICMP 2016) took place in Bangkok, Thailand. The event attracted 584 delegates with most of the participants coming from Asia. It attracted also delegates from 42 countries. The largest delegations were from Thailand, Japan and South Korea. ICMP 2016 included 367 oral presentations and e-posters, most of these being in the fields of Radiation Therapy, Medical Imaging and Radiation Safety. All abstracts were published as an e-book of Abstracts in a supplement to the official IOMP Journal. Many companies had exhibition stands at ICMP2016, thus allowing the participants to see the latest developments in the medical physics-related industry. The conference included 42 mini-symposia, part of the first "IOMP School" activity, covering various topics of importance for the profession and this special issue follows from the success of the conference.
    Matched MeSH terms: Neoplasms/diagnosis
  19. Kamble R, Kokare M, Deshmukh G, Hussin FA, Mériaudeau F
    Comput Biol Med, 2017 08 01;87:382-396.
    PMID: 28595892 DOI: 10.1016/j.compbiomed.2017.04.016
    Accurate detection of diabetic retinopathy (DR) mainly depends on identification of retinal landmarks such as optic disc and fovea. Present methods suffer from challenges like less accuracy and high computational complexity. To address this issue, this paper presents a novel approach for fast and accurate localization of optic disc (OD) and fovea using one-dimensional scanned intensity profile analysis. The proposed method utilizes both time and frequency domain information effectively for localization of OD. The final OD center is located using signal peak-valley detection in time domain and discontinuity detection in frequency domain analysis. However, with the help of detected OD location, the fovea center is located using signal valley analysis. Experiments were conducted on MESSIDOR dataset, where OD was successfully located in 1197 out of 1200 images (99.75%) and fovea in 1196 out of 1200 images (99.66%) with an average computation time of 0.52s. The large scale evaluation has been carried out extensively on nine publicly available databases. The proposed method is highly efficient in terms of quickly and accurately localizing OD and fovea structure together compared with the other state-of-the-art methods.
    Matched MeSH terms: Diabetic Retinopathy/diagnosis
  20. Saniasiaya J, Narayanan P
    J Laryngol Otol, 2023 Jan;137(1):2-6.
    PMID: 35616060 DOI: 10.1017/S0022215122001268
    BACKGROUND: Vestibular dysfunction in children is a debilitating condition that results in countless pernicious effects, such as motor development delay, poor academic performance and psychosocial impairment. Yet, research pertaining to vestibular and balance disorders amongst adolescents is still lacking and remains an enigma.

    METHODS: This paper outlines novel emerging aetiological factors contributing to vestibular dysfunction amongst adolescents by appraising published articles through a narrative review.

    RESULTS: Underlying aetiological factors of vestibular dysfunction can be identified among adolescents with thorough evaluation. Proper diagnostic evaluation of vestibular dysfunction is imperative in providing optimal care and guiding appropriate treatment strategies. The available literature demonstrated multifactorial aetiological factors that contribute to vestibular dysfunction in adolescents.

    CONCLUSION: Outlining the underlying aetiological factors of vestibular dysfunction is vital to ensure that patients receive appropriate care and treatment.

    Matched MeSH terms: Vertigo/diagnosis
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