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Selective Radiologic Imaging in The Diagnosis of Knee Osteoarthritis : a Systematic Literature Review Yuslila, Ewi; Nadhrati Surura, Hedya; Khairul Fikri, Handy; Mukhlis Wardani, Pitra; Fitria, Mawaddah; Al Bukhari, Al Bukhari
GALENICAL : Jurnal Kedokteran dan Kesehatan Mahasiswa Malikussaleh Vol. 4 No. 4 (2025): GALENICAL : Jurnal Kedokteran dan Kesehatan Mahasiswa Malikussaleh - Agustus 20
Publisher : Program Studi Kedokteran Fakultas Kedokteran Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jkkmm.v4i4.22058

Abstract

This literature study helps clinicians in clinical practice in choosing the right radiological imaging in the diagnosis of Knee Osteoarthritis (KOA) according to the patient's condition. Reference sources were obtained systematically from reputable databases; PubMed, Science Direct, Springer Link, Cochrane Library, and Google Scholar with a range of publication years from 2017 to 2024. The keywords used in this literature searching process are "Knee Osteoarthritis" "Imaging", "Radiology", "Radiography", "MRI", "Ultrasound", "CT", "OCT", and "Nuclear Medicine Bone Scan". A systematic literature search using the PRISMA flow chart resulted in 3,866 articles which were then selected based on the inclusion and exclusion criteria of 26 articles. Articles were selected based on their relevance with a focus on radiologic imaging techniques in knee osteoarthritis cases. This literature study shows that Radiographic techniques are the first-line imaging modality in establishing the diagnosis of KOA in symptomatic patients. MRI is primarily used if a patient with suspected KOA is found to be asymptomatic and may be recommended for examination. USG is used because it is most commonly available and inexpensive, CT-Scan is used if atypical KOA cases are suspected. NMBS and OCT are used for suspected KOA with certain medical conditions. In clinical practice, the flexibility of imaging selection needs to be adjusted according to clinical symptoms, risk factors, suspected atypical cases, cost, and equipment availability.
Imaging Patterns in Depressive Disorder: A Comprehensive Magnetic Resonance Imaging Assessment of Brain Anatomy Nadhrati Surura, Hedya; Yuslila, Ewi; Amris, Fazil; Al Bukhari, Al Bukhari; Fitria, Syukria
GALENICAL : Jurnal Kedokteran dan Kesehatan Mahasiswa Malikussaleh Vol. 4 No. 6 (2025): GALENICAL : Jurnal Kedokteran dan Kesehatan Mahasiswa Malikussaleh - November 2
Publisher : Program Studi Kedokteran Fakultas Kedokteran Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jkkmm.v4i6.22959

Abstract

This literature examines the significant role of magnetic resonance imaging (MRI) in the diagnosis and evaluation of the anatomical features of the brain in patients with depressive disorders. A comprehensive understanding of psychiatric mechanisms through imaging techniques facilitates the development of more effective strategies for managing individuals with depression. Reference sources come from international journals obtained systematically from reputable databases; PubMed, Science Direct and Scopus with a range of publication years from 2020 to 2024. The keywords used in this literature searching process are "Hippocampus" "Amygdala", "Prefrontal Cortex", "Cyngulate Cortex", “Nucleus Accumbens”, “Brain”, “Imaging”, and "MRI". A Comprehensive literature search using the Bollean concept resulted in 1,827 articles which were then selected based on the inclusion and exclusion criteria of 4 articles. Articles were selected based on their relevance with a focus on Magnetic Resonance Imaging (MRI) techniques in Depressive Disorder cases. This comprehensive review summarizes MRI findings in key brain regions in depressive disorder, including the hippocampus, amygdala, prefrontal cortex, cingulate cortex, and nucleus accumbens, highlighting both structural and functional abnormalities. The results reveal volumetric reductions and altered functional connectivity, particularly in mood-regulating areas, which are linked to cognitive deficits and emotional dysregulation in individuals with depression. Understanding these neurobiological changes is crucial for developing targeted therapeutic interventions, offering potential pathways for more effective, personalized treatments for depressive disorders.