MyMedR

Fulltext Normalised MRI Volumetry of the Hippocampus among Normal Malay Children and Adolescents

Jalaluddin WM, Mat Jusoh N, Ali Basahai IA, Abdullah MS, Abdul Karim AH, Gazali AK

Malays J Med Sci, 2013 Jan;20(1):31-8.

Magnetic resonance imaging (MRI) is a noninvasive method for determining brain morphology and volumetry. Hippocampal volume changes are observed in conjunction with several diseases. This study aimed to determine the normalised volume of the hippocampus in normal Malay children and adolescents.

Matched MeSH terms: Magnetic Resonance Imaging

Fulltext Lessons of the month: Not just morning sickness

Tong CV

Clin Med (Lond), 2020 Sep;20(5):e204-e205.

PMID: 32934066 DOI: 10.7861/clinmed.2020-0151

A 34-year-old woman (gravida 4; para 3) at 17 weeks of pregnancy presented with abnormal behaviour for 3 weeks associated with difficulties in walking. She had been admitted 2 months prior with hyperemesis gravidarum and was also diagnosed with thyrotoxicosis. Vomiting and poor oral intake persisted after discharge. She was euthyroid otherwise. Clinical examination revealed a dehydrated and confused patient. She had nystagmus and ataxic gate. Magnetic resonance imaging of the brain showed symmetrical signal changes of posteromedial part of thalamus. A diagnosis of Wernicke's encephalopathy (WE) was made and intravenous thiamine was given leading to gradual improvement of symptoms. Her thyroid function test normalised without any treatment. WE can occur in severe hyperemesis gravidarum. Prompt recognition of WE and replacement with thiamine is important to prevent neurological sequelae and mortality. Gestational transient thyrotoxicosis, which is self-limiting, is more prominent in patients with hyperemesis gravidarum and requires only symptomatic treatment.

Matched MeSH terms: Magnetic Resonance Imaging

Single image signal-to-noise ratio estimation for magnetic resonance images

Sim KS, Lai MA, Tso CP, Teo CC

J Med Syst, 2011 Feb;35(1):39-48.

PMID: 20703587 DOI: 10.1007/s10916-009-9339-9

A novel technique to quantify the signal-to-noise ratio (SNR) of magnetic resonance images is developed. The image SNR is quantified by estimating the amplitude of the signal spectrum using the autocorrelation function of just one single magnetic resonance image. To test the performance of the quantification, SNR measurement data are fitted to theoretically expected curves. It is shown that the technique can be implemented in a highly efficient way for the magnetic resonance imaging system.

Matched MeSH terms: Magnetic Resonance Imaging/methods*; Magnetic Resonance Imaging/statistics & numerical data

Correlation between subjective and objective assessment of magnetic resonance (MR) images

Chow LS, Rajagopal H, Paramesran R, Alzheimer's Disease Neuroimaging Initiative

Magn Reson Imaging, 2016 07;34(6):820-831.

PMID: 26969762 DOI: 10.1016/j.mri.2016.03.006

Medical Image Quality Assessment (IQA) plays an important role in assisting and evaluating the development of any new hardware, imaging sequences, pre-processing or post-processing algorithms. We have performed a quantitative analysis of the correlation between subjective and objective Full Reference - IQA (FR-IQA) on Magnetic Resonance (MR) images of the human brain, spine, knee and abdomen. We have created a MR image database that consists of 25 original reference images and 750 distorted images. The reference images were distorted with six types of distortions: Rician Noise, Gaussian White Noise, Gaussian Blur, DCT compression, JPEG compression and JPEG2000 compression, at various levels of distortion. Twenty eight subjects were chosen to evaluate the images resulting in a total of 21,700 human evaluations. The raw scores were then converted to Difference Mean Opinion Score (DMOS). Thirteen objective FR-IQA metrics were used to determine the validity of the subjective DMOS. The results indicate a high correlation between the subjective and objective assessment of the MR images. The Noise Quality Measurement (NQM) has the highest correlation with DMOS, where the mean Pearson Linear Correlation Coefficient (PLCC) and Spearman Rank Order Correlation Coefficient (SROCC) are 0.936 and 0.938 respectively. The Universal Quality Index (UQI) has the lowest correlation with DMOS, where the mean PLCC and SROCC are 0.807 and 0.815 respectively. Student's T-test was used to find the difference in performance of FR-IQA across different types of distortion. The superior IQAs tested statistically are UQI for Rician noise images, Visual Information Fidelity (VIF) for Gaussian blur images, NQM for both DCT and JPEG compressed images, Peak Signal-to-Noise Ratio (PSNR) for JPEG2000 compressed images.

Matched MeSH terms: Magnetic Resonance Imaging/methods*; Magnetic Resonance Imaging/statistics & numerical data

Microstructural abnormalities found in uncinate fasciculus and superior cerebellar tracts in children with global developmental delay: a feasibility study

Ramli N, Yap A, Muridan R, Seow P, Rahmat K, Fong CY, et al.

Clin Radiol, 2020 01;75(1):77.e15-77.e22.

PMID: 31668796 DOI: 10.1016/j.crad.2019.09.134

AIM: To evaluate the microstructural abnormalities of the white matter tracts (WMT) using diffusion tensor imaging (DTI) in children with global developmental delay (GDD).

MATERIALS AND METHODS: Sixteen children with GDD underwent magnetic resonance imaging (MRI) and cross-sectional DTI. Formal developmental assessment of all GDD patients was performed using the Mullen Scales of Early Learning. An automated processing pipeline for the WMT assessment was implemented. The DTI-derived metrics of the children with GDD were compared to healthy children with normal development (ND).

RESULTS: Only two out of the 17 WMT demonstrated significant differences (p<0.05) in DTI parameters between the GDD and ND group. In the uncinate fasciculus (UF), the GDD group had lower mean values for fractional anisotropy (FA; 0.40 versus 0.44), higher values for mean diffusivity (0.96 versus 0.91×10-3 mm2/s) and radial diffusivity (0.75 versus 0.68×10-3 mm2/s) compared to the ND group. In the superior cerebellar peduncle (SCP), mean FA values were lower for the GDD group (0.38 versus 0.40). Normal myelination pattern of DTI parameters was deviated against age for GDD group for UF and SCP.

CONCLUSION: The UF and SCP WMT showed microstructural changes suggestive of compromised white matter maturation in children with GDD. The DTI metrics have potential as imaging markers for inadequate white matter maturation in GDD children.

Matched MeSH terms: Magnetic Resonance Imaging/methods*; Diffusion Magnetic Resonance Imaging

Referral of epileptic patients in North East Coast of West Malaysia an area with poor MRI coverage: an analysis

Mohamed Y, Alias NN, Shuaib IL, Tharakan J, Abdullah J, Munawir AH, et al.

Southeast Asian J. Trop. Med. Public Health, 2006 Nov;37(6):1199-208.

PMID: 17333778

Advances in neuroimaging techniques, particularly Magnetic Resonance Imaging (MRI), have proved invaluable in detecting structural brain lesions in patients with epilepsy in developed countries. In Malaysia, a few electroencephalography facilities available in rural district hospitals run by trained physician assistants have Internet connections to a government neurological center in Kuala Lumpur. These facilities are more commonly available than MRI machines, which require radiological expertise and helium replacement, which may problematic in Southeast Asian countries where radiologists are found in mainly big cities or towns. We conducted a cross-sectional study over a two year period begining January 2001 on rural patients, correlating EEG reports and MRI images with a clinical diagnosis of epilepsy to set guidelines for which rural patients need to be referred to a hospital with MRI facilities. The patients referred by different hospitals without neurological services were classified as having generalized, partial or unclassified seizures based on the International Classification of Epileptic Seizures proposed by the International League Against Epilepsy (ILAE). The clinical parameters studied were seizure type, seizure frequency, status epilepticus and duration of seizure. EEG reports were reviewed for localized and generalized abnormalities and epileptiform changes. Statistical analysis was performed using logistic regression and area under the curve. The association between clinical and radiological abnormalities was evaluated for sensitivity and specificity. Twenty-six males and 18 females were evaluated. The mean age was 20.7 +/- 13.3 years. Nineteen (43.2%) had generalized seizures, 22 (50.0%) had partial seizures and 3 (6.8%) presented with unclassified seizures. The EEG was abnormal in 30 patients (20 with generalized abnormalities and 10 localized abnormalities). The MRI was abnormal in 17 patients (38.6%); the abnormalities observed were cerebral atrophy (5), hippocampal sclerosis (4), infarct/gliosis (3), cortical dysgenesis (2) and tumors (2). One patient had an arachnoid cyst in the right occipital region. Of the 17 patients with an abnormal MRI, 14 had an abnormal EEG, this difference was not statistically significant. There was no significant associaton between epileptographic changes and MRI findings (p = 0.078). EEG findings were associated with MRI findings (p = 0.004). The association between an abnormal EEG and an abnormal MRI had a specificity of 82.4%, while epileptogenic changes had a specificity of 64.7% in relation to abnormal MRI findings. This meants that those patients in rural hospitals with abnormal EEGs should be referred to a neurology center for further workup and an MRI to detect causes with an epileptic focus.

Matched MeSH terms: Magnetic Resonance Imaging/instrumentation; Magnetic Resonance Imaging/utilization*

Fulltext An Automated and Intelligent Medical Decision Support System for Brain MRI Scans Classification

Siddiqui MF, Reza AW, Kanesan J

PLoS One, 2015;10(8):e0135875.

PMID: 26280918 DOI: 10.1371/journal.pone.0135875

A wide interest has been observed in the medical health care applications that interpret neuroimaging scans by machine learning systems. This research proposes an intelligent, automatic, accurate, and robust classification technique to classify the human brain magnetic resonance image (MRI) as normal or abnormal, to cater down the human error during identifying the diseases in brain MRIs. In this study, fast discrete wavelet transform (DWT), principal component analysis (PCA), and least squares support vector machine (LS-SVM) are used as basic components. Firstly, fast DWT is employed to extract the salient features of brain MRI, followed by PCA, which reduces the dimensions of the features. These reduced feature vectors also shrink the memory storage consumption by 99.5%. At last, an advanced classification technique based on LS-SVM is applied to brain MR image classification using reduced features. For improving the efficiency, LS-SVM is used with non-linear radial basis function (RBF) kernel. The proposed algorithm intelligently determines the optimized values of the hyper-parameters of the RBF kernel and also applied k-fold stratified cross validation to enhance the generalization of the system. The method was tested by 340 patients' benchmark datasets of T1-weighted and T2-weighted scans. From the analysis of experimental results and performance comparisons, it is observed that the proposed medical decision support system outperformed all other modern classifiers and achieves 100% accuracy rate (specificity/sensitivity 100%/100%). Furthermore, in terms of computation time, the proposed technique is significantly faster than the recent well-known methods, and it improves the efficiency by 71%, 3%, and 4% on feature extraction stage, feature reduction stage, and classification stage, respectively. These results indicate that the proposed well-trained machine learning system has the potential to make accurate predictions about brain abnormalities from the individual subjects, therefore, it can be used as a significant tool in clinical practice.

Matched MeSH terms: Magnetic Resonance Imaging/instrumentation; Magnetic Resonance Imaging/methods

MRI findings of penile paraffinoma

Majedah S, Hanafiah M, Awang MK

BMJ Case Rep, 2014;2014.

PMID: 25406214 DOI: 10.1136/bcr-2014-205448

Matched MeSH terms: Magnetic Resonance Imaging

Fulltext Radiofrequency-induced intradiscal nucleoplasty chronic low back pain secondary to lumbar disc herniation

Lee D, Loh E, Kueh C, Poi J, Francis T, Koh KC, et al.

Malays Orthop J, 2013 Jul;7(2):18-20.

PMID: 25722820 MyJurnal DOI: 10.5704/MOJ.1307.009

We set out to assess the efficacy of radiofrequency-induced intradiscal nucleoplasty in reducing pain in symptomatic patients with MRI-defined lumbar disc herniation and their satisfaction with the procedure. We compared the patients' pain intensity and severity of disability scores before and after undergoing the procedure in a retrospective questionnaire. These patients reported statistically significant reduction of pain intensity and disability level after the procedure. We conclude that radiofrequencyinduced intradiscal nucleoplasty is an acceptable alternative minimally invasive procedure in relieving the symptoms of patients with lumbar disc herniation.

Matched MeSH terms: Magnetic Resonance Imaging

Fulltext Inflammatory pseudotumour of skull base - diagnostic challenge and treatment outcome

Kahairi A, Ahmad RL, Wan Ishlah L, Norra H

Med J Malaysia, 2012 Oct;67(5):526-8.

PMID: 23770873

We report a case of an inflammatory pseudotumour (IP) involving the floor of the skull base, which demonstrated aggressive behavior both clinically and radiologically. In this case, the diagnosis was established by clinical presentation, magnetic resonance imaging (MRI), histopathological examination (HPE) and the dramatic response towards high dose steroid therapy. The clinical features improved with oral cyclophosphamide in combination with oral steroid, which were given for a period of three months.

Matched MeSH terms: Magnetic Resonance Imaging

Fulltext Musculoskeletal MRI protocol

Tan S, Suraya A, Sa'don S, Ruzi A, Zahiah M

Biomed Imaging Interv J, 2010 Apr-Jun;6(2):e16.

PMID: 21611037 MyJurnal DOI: 10.2349/biij.6.2.e16

The authors propose a musculoskeletal (MSK) magnetic resonance imaging (MRI) protocol using selected sequences for common orthopaedic indications. Selected sequences allow optimal visualisation of the indicated pathology while screening for other common conditions. The authors emphasise the need for standard positioning of the patient and standard orientation of scan planes to facilitate comparison with follow-up scans.

Matched MeSH terms: Magnetic Resonance Imaging

Fulltext Two-stage surgery for a large cervical dumbbell tumour in neurofibromatosis 1: a case report

Mohd Ariff S, Joehaimey J, Ahmad Sabri O, Abdul Halim Y

Malays Orthop J, 2011 Nov;5(3):24-7.

PMID: 25279032 MyJurnal DOI: 10.5704/MOJ.1111.003

Spinal neurofibromas occur sporadically and typically occur in association with neurofibromatosis 1. Patients afflicted with neurofibromatosis 1 usually present with involvement of several nerve roots. This report describes the case of a 14- year-old child with a large intraspinal, but extradural tumour with paraspinal extension, dumbbell neurofibroma of the cervical region extending from the C2 to C4 vertebrae. The lesions were readily detected by MR imaging and were successfully resected in a two-stage surgery. The time interval between the first and second surgery was one month. We provide a brief review of the literature regarding various surgical approaches, emphasising the utility of anterior and posterior approaches.

Matched MeSH terms: Magnetic Resonance Imaging

Fulltext Leigh syndrome: MRI findings in two children

Kartikasalwah A, Lh N

Biomed Imaging Interv J, 2010 Jan-Mar;6(1):e6.

PMID: 21611066 MyJurnal DOI: 10.2349/biij.6.1.e6

Leigh syndrome is a progressive neurodegenerative disorder of childhood. The symmetrical necrotic lesions in the basal ganglia and/or brainstem which appear as hyperintense lesions on T2-weighted MRI is characteristic and one of the essential diagnostic criteria. Recognising this MR imaging pattern in a child with neurological problems should prompt the clinician to investigate for Leigh syndrome. We present here two cases of Leigh syndrome due to different biochemical/genetic defects, and discuss the subtle differences in their MR neuroimaging features.

Matched MeSH terms: Magnetic Resonance Imaging

Fulltext Medullary carcinoma of the breast: Role of contrast-enhanced MRI in the diagnosis of multiple breast lesions

Abdul Rashid S, Rahmat K, Jayaprasagam K, Alli K, Moosa F

Biomed Imaging Interv J, 2009 Oct;5(4):e27.

PMID: 21610994 MyJurnal DOI: 10.2349/biij.5.4.e27

Medullary carcinoma is a rare breast carcinoma with a syncytial growth pattern and high-grade cytology. It can be difficult to diagnose and may be missed on conventional imaging as the findings may overlap with benign lesions i.e. fibroadenomas. The authors report a case of a 25-year-old female who presented with multifocal breast lumps diagnosed with medullary carcinoma and fibroadenomas. Imaging and pathological correlation with contrast-enhanced MRI are presented in the diagnosis of these lesions.

Matched MeSH terms: Magnetic Resonance Imaging

Fulltext Synthesis and characterization of novel dimeric ionic liquids by conventional approaches

Ganesan K, Alias Y

Int J Mol Sci, 2008 Jun;9(7):1207-13.

PMID: 19325800 DOI: 10.3390/ijms9071207

The (1)H-NMR shifts of the imidazolium protons of some novel dimeric ionic liquids were examined in various deuterated solvents. Interactions between the solvent and the imidazolium salt of butyl substituted ionic liquids were observed to give higher chemical shifts than methyl substitution.

Matched MeSH terms: Magnetic Resonance Imaging

Fulltext Gartner duct cyst in pregnancy presenting as a prolapsing pelvic mass

Arumugam A, Kumar G, Si L, Vijayananthan A

Biomed Imaging Interv J, 2007 Oct;3(4):e46.

PMID: 21614298 MyJurnal DOI: 10.2349/biij.3.4.e46

Gartner duct cysts are the remnants of the Wolffian duct and they are rarely seen in adulthood. We present a case of a pregnant patient with a prolapsing vaginal mass. A diagnosis of Gartner duct cyst was made after MRI was performed. The Gartner duct cyst was drained when the patient went into labour allowing vaginal delivery to be performed.

Matched MeSH terms: Magnetic Resonance Imaging

Fulltext Ossifying fibromyxoid tumour in a child

Aminudin CA, Sharaf I, Hamzaini AH, Salmi A, Aishah MAS

Med J Malaysia, 2004 Dec;59 Suppl F:49-51.

PMID: 15941162

Ossifying fibromyxoid tumor (OFMT) is a rare benign tumor, most of which occurs in adults with localization in the subcutaneous tissue or muscle of the extremities. A five-year-old girl presented with a mass in her right upper thigh. Due to the large size of the mass (10 x 7 cm), our provisional diagnosis was a soft tissue sarcoma. A tru-cut biopsy showed that the lesion was benign. The mass was excised and has not recurred since. To the best of our knowledge, this patient is the youngest case of OFMT reported in the English literature.

Matched MeSH terms: Magnetic Resonance Imaging

Synthesis of 4-thiazolidinone analogs as potent in vitro anti-urease agents

Rahim F, Zaman K, Ullah H, Taha M, Wadood A, Javed MT, et al.

Bioorg Chem, 2015 Dec;63:123-31.

PMID: 26520885 DOI: 10.1016/j.bioorg.2015.10.005

4-Thiazolidinone analogs 1-20 were synthesized, characterized by (1)H NMR and EI-MS and investigated for urease inhibitory activity. All twenty (20) analogs exhibited varied degree of urease inhibitory potential with IC50 values 1.73-69.65μM, if compared with standard thiourea having IC50 value of 21.25±0.15μM. Among the series, eight derivatives 3, 6, 8, 10, 15, 17, 19, and 20 showed outstanding urease inhibitory potential with IC50 values of 9.34±0.02, 14.62±0.03, 8.43±0.01, 7.3±0.04, 2.31±0.002, 5.75±0.003, 8.81±0.005, and 1.73±0.001μM, respectively, which is better than the standard thiourea. The remaining analogs showed good to excellent urease inhibition. The binding interactions of these compounds were confirmed through molecular docking studies.

Matched MeSH terms: Magnetic Resonance Imaging

A hybrid method for classifying cognitive states from fMRI data

Parida S, Dehuri S, Cho SB, Cacha LA, Poznanski RR

J Integr Neurosci, 2015 Sep;14(3):355-68.

PMID: 26455882 DOI: 10.1142/S0219635215500223

Functional magnetic resonance imaging (fMRI) makes it possible to detect brain activities in order to elucidate cognitive-states. The complex nature of fMRI data requires under-standing of the analyses applied to produce possible avenues for developing models of cognitive state classification and improving brain activity prediction. While many models of classification task of fMRI data analysis have been developed, in this paper, we present a novel hybrid technique through combining the best attributes of genetic algorithms (GAs) and ensemble decision tree technique that consistently outperforms all other methods which are being used for cognitive-state classification. Specifically, this paper illustrates the combined effort of decision-trees ensemble and GAs for feature selection through an extensive simulation study and discusses the classification performance with respect to fMRI data. We have shown that our proposed method exhibits significant reduction of the number of features with clear edge classification accuracy over ensemble of decision-trees.

Matched MeSH terms: Magnetic Resonance Imaging

Thiadiazole derivatives as New Class of β-glucuronidase inhibitors

Salar U, Taha M, Ismail NH, Khan KM, Imran S, Perveen S, et al.

Bioorg Med Chem, 2016 Apr 15;24(8):1909-18.

PMID: 26994638 DOI: 10.1016/j.bmc.2016.03.020

Thiadiazole derivatives 1-24 were synthesized via a single step reaction and screened for in vitro β-glucuronidase inhibitory activity. All the synthetic compounds displayed good inhibitory activity in the range of IC50=2.16±0.01-58.06±1.60μM as compare to standard d-saccharic acid 1,4-lactone (IC50=48.4±1.25μM). Molecular docking study was conducted in order to establish the structure-activity relationship (SAR) which demonstrated that thiadiazole as well as both aryl moieties (aryl and N-aryl) involved to exhibit the inhibitory potential. All the synthetic compounds were characterized by spectroscopic techniques (1)H, (13)C NMR, and EIMS.

Matched MeSH terms: Magnetic Resonance Imaging

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