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Journal : Althea Medical Journal

Correlation between Vertebral Slippage in Spondylolisthesis with Ligamentum Flavum Thickening in Dr. Soebandi Hospital, Jember, East Java, Indonesia Heni Fatmawati; Alvin Candra; Nindya Shinta Rumastika; Al Munawir; Muhamad Hasan; I Nyoman Semita
Althea Medical Journal Vol 10, No 1 (2023)
Publisher : Faculty of Medicine Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15850/amj.v10n1.2794

Abstract

Background: Spondylolisthesis is a vertebral slip condition that compromises the body’s axial alignment and structures such as ligamentum flavum. The ligamentum flavum thickening may play a role in spondylolisthesis. The purpose of this study was to investigate the correlation between the slippage of vertebral body (spondylolisthesis) with ligamentum flavum thickening as a tissue response regarding increased mechanical stress.Methods: An analytical retrospective radiological observational was used a cross-sectional study from the results of MRI examination in Dr. Soebandi Hospital, Jember, Indonesia, collected from 2018-2021 using the simple random sampling method. Ligamentum flavum thickness and the degree of vertebral slip were measured using T2-weighted MR imaging and the correlation was analyzed using Fisher’s exact test. Results: Of 102 spondylolisthesis data records, 34 were taken, being female was the most prevalent cases in the age group above 60 years, with the most vertebral segment shift occurring at the L4–L5 level. There was a significant correlation. (p = 0.02; RR = 4.8) between ligamentum flavum thickening and vertebral slip in spondylolisthesis. Conclusion: The significant correlation between ligamentum flavum thickening and vertebral slip in spondylolisthesis suggest that mechanical stress has caused spondylolisthesis, by inducing chronic inflammation that results in hypertrophy of ligamentum flavum. Lumbar segmental instability due to spondylolisthesis is a factor contributing to the development of ligamentum flavum hypertrophy.
Severity of White Matter Lesions Correlate with Small Vessel Ischemic Stroke Zahirah, Mutiara; Fatmawati, Heni; Wiryaning Putri, Komang Yunita
Althea Medical Journal Vol 11, No 4 (2024)
Publisher : Faculty of Medicine Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15850/amj.v11n4.3338

Abstract

Background: Stroke is the third leading cause of death globally. White matter lesions (WMLs) are often observed on brain imaging such as magnetic resonance imaging (MRI) in healthy elders and are considered as stroke predictors. Increased WMLs volume also affects small vessel stroke with worse disability. This study aimed to explore the correlation between WMLs severity and small vessel stroke subtype in acute ischemic stroke patients.Methods: A cross-sectional descriptive study was conducted using medical record data from June 2018 to October 2022. Simple randomized sampling was used, including stroke patients at Siloam Hospital, Jember. The Fazekas scale categorized WMLs, and magnetic resonance angiography (MRA) confirmed small vessel stroke etiology-based subtype. Two-tailed Spearman's Rank-Order Correlation Coefficient test was employed to describe the relationship between WMLs severity and small vessel stroke subtype. Results: From a total of 65 acute ischemic stroke patients, 39 patients were included, predominantly females (62%), aged less than 55 years old (44%) with a history of hypertension (54%) and diabetes mellitus (59%). Small vessel stroke subtype was found in 64% of patients. There was a positive correlation between WMLs and the small vessel stroke subtype in acute ischemic stroke patients (p=0.02), suggesting that a higher Fazekas scale correlated with the small vessel subtype.Conclusion: The higher the severity of WMLs, the greater the correlation with small vessel stroke subtype. Early detection of small vessel ischemic stroke in patients with severe WML may contribute to early diagnosis and prompt treatment of ischemic stroke.