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All Journal Sriwijaya Journal of Radiology and Imaging Research Sriwijaya Journal of Obstetrics and Gynecology Sriwijaya Journal of Neurology
Agnes Mariska
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Biochemistry, Genetics & Molecular Biology Dentistry Health Professions Medicine & Pharmacology Neuroscience Nursing Physics Public Health

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Utilization of Biopsy-Guided CT Scan in Diagnosing Liver Cancer: A Case Study Susanti, Cindy; Agnes Mariska
Sriwijaya Journal of Radiology and Imaging Research Vol. 2 No. 2 (2024): Sriwijaya Journal of Radiology and Imaging Research
Publisher : Phlox Institute: Indonesian Medical Research Organization

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59345/sjrir.v2i1.119

Abstract

Introduction: Liver cancer is one of the most common types of cancer in Indonesia and has a high mortality rate. Early diagnosis of liver cancer is very important to increase the patient's chances of recovery. Biopsy-guided CT scan is an effective method for diagnosing liver cancer. Case presentation: We report the case of a 55 year old man with a history of chronic hepatitis B who presented with complaints of right upper abdominal pain and weight loss. Physical examination revealed hepatomegaly and ascites. Investigations, including abdominal ultrasound and liver function tests, showed a mass in the liver. CT scan of the abdomen with contrast showed a hypodense mass in the right hepatic lobe. A CT-guided liver biopsy was performed and the histopathological diagnosis was hepatocellular carcinoma (HCC). The patient then underwent partial resection hepatectomy and chemotherapy. Conclusion: Biopsy-guided CT scan is a valuable tool for the diagnosis of HCC in patients with chronic hepatitis B.
Beyond Amyloid: Investigating the Role of Tau Oligomers in Alzheimer's Disease Progression in Medan, Indonesia Sony Sanjaya; Brenda Jaleel; Cindy Susanti; Yi-Fen Huang; Husin Sastranagara; Agnes Mariska
Sriwijaya Journal of Neurology Vol. 1 No. 2 (2023): Sriwijaya Journal of Neurology
Publisher : Phlox Institute: Indonesian Medical Research Organization

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59345/sjn.v1i1.26

Abstract

Introduction: Alzheimer's disease (AD) is a neurodegenerative disorder characterized by cognitive decline and memory impairment. While amyloid plaques have been a central focus of AD research, increasing evidence suggests that tau oligomers play a crucial role in disease progression. This study aimed to investigate the relationship between tau oligomers, cognitive function, and disease severity in AD patients in Medan, Indonesia. Methods: An observasional case series study was conducted involving 50 AD patients diagnosed according to the National Institute on Aging-Alzheimer's Association (NIA-AA) criteria. Cerebrospinal fluid (CSF) samples were collected and analyzed for tau oligomers using an enzyme-linked immunosorbent assay (ELISA). Cognitive function was assessed using the Mini-Mental State Examination (MMSE) and the Clinical Dementia Rating (CDR) scale. Correlation analyses were performed to examine the relationship between tau oligomer levels, cognitive performance, and disease severity. Results: The mean tau oligomer level in AD patients was 120.5 ± 35.2 pg/mL. A significant negative correlation was observed between tau oligomer levels and MMSE scores (r = -0.65, p < 0.001), indicating that higher tau oligomer levels were associated with poorer cognitive performance. Furthermore, tau oligomer levels were positively correlated with CDR scores (r = 0.58, p < 0.001), suggesting a link between tau oligomers and disease severity. Conclusion: This study provides evidence for the involvement of tau oligomers in AD progression in the Indonesian population. Elevated CSF tau oligomer levels are associated with cognitive decline and disease severity in AD patients. These findings highlight the potential of tau oligomers as a therapeutic target and emphasize the need for further research to develop effective interventions.
Artificial Intelligence for Early Detection of Motor Neuron Disease Using Gait Analysis and Speech Patterns in Pekanbaru, Indonesia Sari Sulistyoningsih; Louisa Istarini; Dedi Sucipto; Serena Jackson; Agnes Mariska; Linda Purnama; Imanuel Simbolon
Sriwijaya Journal of Neurology Vol. 1 No. 2 (2023): Sriwijaya Journal of Neurology
Publisher : Phlox Institute: Indonesian Medical Research Organization

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59345/sjn.v1i1.28

Abstract

Introduction: Motor neuron disease (MND) is a devastating neurodegenerative disorder characterized by progressive muscle weakness, atrophy, and ultimately, paralysis. This study investigated the potential of artificial intelligence (AI) to detect MND in its early stages using gait analysis and speech pattern recognition in a population in Pekanbaru, Indonesia. Methods: A cross-sectional study was conducted at the Neurology Department of a tertiary referral hospital in Pekanbaru, Indonesia. A total of 150 participants aged 40-75 years were recruited and categorized into three groups. Gait analysis was performed using wearable sensors to collect data on stride length, cadence, swing time, stance time, and gait variability. Machine learning algorithms, including support vector machines (SVM), random forest (RF), and deep learning models like convolutional neural networks (CNN), were trained on the combined gait and speech data to classify participants into the three groups. Results: Significant differences were observed in gait parameters between the MND group and the other two groups. Individuals with MND exhibited shorter stride length (p<0.001), slower cadence (p<0.001), increased swing time variability (p=0.002), and reduced stance time (p=0.003). Speech analysis revealed distinct patterns in the MND group, including reduced speech rate (p<0.001), increased pause duration (p=0.004), and decreased vocal intensity (p=0.001). The AI models, particularly the CNN model, demonstrated high accuracy in differentiating individuals with MND from healthy controls and those with other neurological conditions. The CNN model achieved an accuracy of 94.7%, sensitivity of 92%, specificity of 96%, and an area under the receiver operating characteristic curve (AUC) of 0.98. Conclusion: AI-powered gait analysis and speech pattern recognition show promise as a non-invasive and cost-effective tool for the early detection of MND in Pekanbaru, Indonesia. This technology has the potential to improve diagnostic accuracy and facilitate timely intervention, ultimately enhancing the quality of life for individuals with MND.
The Impact of Gestational Diabetes on Long-Term Cognitive Function: A Prospective Cohort Study with Neuroimaging Correlates in Bandung, Indonesia Miranda Aisah; Lestini Wulansari; Vania Delma; Reza Andrianto; Zahra Amir; Dedi Sucipto; Agnes Mariska; Saurie Hernandez
Sriwijaya Journal of Neurology Vol. 2 No. 1 (2024): Sriwijaya Journal of Neurology
Publisher : Phlox Institute: Indonesian Medical Research Organization

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59345/sjn.v1i2.91

Abstract

Introduction: Gestational diabetes mellitus (GDM) is a growing public health concern with potential long-term consequences for both mother and child. Emerging evidence suggests that GDM may impact maternal cognitive function, but the underlying mechanisms remain unclear. This prospective cohort study investigates the association between GDM and long-term cognitive function in mothers, exploring potential neuroimaging correlates. Methods: Pregnant women were recruited from antenatal clinics in Bandung, Indonesia, between 2018 and 2020. GDM was diagnosed using the International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria. Cognitive function was assessed at 6 months, 1 year, and 3 years postpartum using a comprehensive neuropsychological battery. A subset of participants underwent structural and functional magnetic resonance imaging (MRI) at 3 years postpartum. Results: Women with GDM exhibited lower scores on tests of executive function, processing speed, and memory compared to women without GDM at all follow-up assessments. MRI analysis revealed alterations in brain structure and function inwomen with a history of GDM, including reduced gray matter volume in the prefrontal cortex and hippocampus, and altered functional connectivity within the default mode network. Conclusion: GDM is associated with long-term cognitive impairment in mothers, possibly mediated by structural and functional brain changes. These findings highlight the importance of early identification and management of GDM to mitigate potential long-term cognitive consequences.
Traditional Herbal Remedies Used During Pregnancy in Indonesia: A Qualitative Study Exploring Safety and Efficacy Fifia Ardinanti; Agnes Mariska; Dedi Sucipto
Sriwijaya Journal of Obstetrics and Gynecology Vol. 1 No. 2 (2023): Sriwijaya Journal of Obstetrics and Gynecology
Publisher : Phlox Institute: Indonesian Medical Research Organization

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59345/sjog.v1i1.24

Abstract

Introduction: Traditional herbal remedies are widely used during pregnancy in Indonesia. However, limited information exists regarding their safety and efficacy. This study aimed to explore the types of herbal remedies used, reasons for their use, perceived benefits and risks, and information sources guiding their use among pregnant women in Indonesia. Methods: A qualitative study was conducted involving in-depth interviews with 30 pregnant women residing in three different regions of Indonesia: urban Jakarta, rural West Java, and remote Papua. Participants were recruited through purposive sampling from community health centers and traditional birth attendant networks. Interviews were audio-recorded, transcribed verbatim, and analyzed using thematic analysis. Results: A wide variety of herbal remedies were reported, including ginger, turmeric, tamarind, and various leaf decoctions. Reasons for use included alleviating pregnancy-related complaints (nausea, back pain, fatigue), promoting fetal health, and easing labor. Perceived benefits included natural origin, affordability, and cultural acceptance. Concerns included potential adverse effects on the fetus and lack of scientific evidence. Information sources were primarily family members, traditional healers, and community beliefs. Notable variations in practices were observed across the three regions, reflecting diverse cultural influences and access to healthcare. Conclusion: This study highlights the widespread use of traditional herbal remedies among pregnant women in Indonesia. While perceived as natural and beneficial, safety and efficacy concerns warrant attention. Healthcare providers should engage in open dialogue with pregnant women regarding their herbal use, providing evidence-based information and culturally sensitive counseling to ensure maternal and fetal well-being.
Co-Authors Brenda Jaleel Cindy Susanti Dedi Sucipto Fifia Ardinanti Husin Sastranagara Imanuel Simbolon Lestini Wulansari Linda Purnama Louisa Istarini Miranda Aisah Reza Andrianto Sari Sulistyoningsih Saurie Hernandez Serena Jackson Sony Sanjaya Susanti, Cindy Vania Delma Yi-Fen Huang Zahra Amir