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Prediksi Gangguan Kognitif Ringan Menggunakan Pencitraan Resonansi Magnetik dan Deep Learning: Sebuah Studi Meta-Analisis Setiawan, Budi; Wariki, Windy Mariane Virenia; Warouw, Finny; Momole, Ansye Grace Nancy; Tumewah, Rizal; Pertiwi, Junita Maja
Jurnal Kedokteran Meditek Vol 31 No 2 (2025): MARCH
Publisher : Fakultas Kedokteran Universitas Kristen Krida Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36452/jkdoktmeditek.v31i2.3463

Abstract

Introduction: Mild Cognitive Impairment (MCI) is a condition characterized by cognitive decline that does not interfere with daily activities but increases the risk of progressing to Alzheimer's Dementia (AD). Early detection of MCI progression to AD is crucial for early intervention. Purpose: The purpose of this meta-analysis to evaluate the performance of Convolutional Neural Networks (CNNs), an artificial intelligence used to analyze complex data such as images, in predicting the conversion of MCI to AD using MRI data. Methods: A meta-analysis was conducted following PRISMA guidelines, utilizing articles from PubMed and Wiley Online Library. Inclusion criteria focused on studies that used CNN in conjunction with MRI to diagnose MCI. A total of 39 articles with 40 comparative studies were analyzed. Results: The CNN showed an average accuracy of 0.7910 (p < 0.0001), sensitivity of 0.7698, specificity of 0.8467, and an Area Under the Curve (AUC) of 0.8063. High heterogeneity (I² = 90.90%) indicated significant variation across studies. Sub meta-analysis revealed consistent performance despite the heterogeneity. Conclusion: CNN is potentially useful for predicting the progression of MCI to AD. Further research is needed to address heterogeneity, improve algorithms, expand datasets, and include more diverse populations.
Comparison of the Effectiveness of Botulinum Toxin A (BoNTA) Injection Therapy and Deep Brain Stimulation (DBS) in Cervical Dystonia: A Meta-Analysis Purbawijaya, Poek Denny; Tumewah, Rizal; Jehosua, Seilly Yunita; Warouw, Finny; Runtuwene, Theresia
Eduvest - Journal of Universal Studies Vol. 5 No. 5 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i5.50232

Abstract

Cervical dystonia is a debilitating movement disorder, and both Deep Brain Stimulation (DBS) and Botulinum Toxin A (BoNTA) are commonly used treatments. However, their comparative effectiveness remains unclear. This study aims to evaluate the effectiveness of DBS versus BoNTA in improving TWSTRS scores and to explore factors influencing treatment outcomes. A meta-analysis was conducted, including subgroup analyses and meta-regression to assess the efficacy of both treatments across various demographics and study designs. The results indicate that DBS significantly improves TWSTRS scores by an average of 54.48% (95% CI 45.01–63.95), compared to BoNTA's 28.96% (95% CI 24.12–33.80). High heterogeneity was noted, but no significant differences were found across intervention types or patient demographics. These findings suggest that DBS is a more effective treatment for cervical dystonia than BoNTA, regardless of patient age or follow-up duration. Future research should investigate the mechanisms behind these differences to optimize treatment strategies.
Studi Meta-Analisis Transcranial Doppler Terhadap Glasgow Outcome Score Pada Cedera Otak Traumatik William, William; Tumewah, Rizal; Ngantung, Denny; Pertiwi, Junita Maja; Tumboimbela, Melke; Wariki, Windy Mariane Virenia
MAHESA : Malahayati Health Student Journal Vol 5, No 7 (2025): Volume 5 Nomor 7 (2025)
Publisher : Universitas Malahayati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33024/mahesa.v5i7.18851

Abstract

ABSTRACT Traumatic brain injury (TBI) through primary and secondary brain injury causes ischemic, hypoxic, cerebral edema, increased intracranial pressure, which are related to physiological, emotional damage and disability. Transcranial Doppler (TCD) as a diagnostic tool can monitor increased intracranial pressure through hypoperfusion and also monitor vasospasm. This meta-analysis study aims to determine TCD as a diagnostic tool in predicting outcomes in TBI cases. Observational studies were taken on TCD examination in TBI cases. Clinical outcomes were assessed based on the Glasgow Outcome Score (GOS), Glasgow Outcome Score-Extended (GOS-E), and mortality. Secondary outcomes were the cut-off values of the Pulsatility Index (PI) and Lindegaard Ratio (LR) related to GOS, GOSE and mortality. Abnormal TCD values in TBI cases would have a >11 times greater likelihood of poor GOS (OR 11.51, 95% CI 7.75 to 17.10). Abnormal TCD had a >11 times greater likelihood of causing death compared to normal TCD (OR 11.05, 95% CI 5.99 to 20.40). Hypoperfusion on TCD had a >6 times greater likelihood of being associated with poor GOS (OR 6.33, 95% CI 0.28 to 144.48) and had a >22 times greater likelihood of causing death compared to vasospasm on TCD (OR 22.86, 95% CI 0.70 to 751.27). ROC curve analysis showed that the PI cut-off value of 1.03 and LR 3.3 were associated with poor GOS. TCD can be used as a diagnostic tool to predict poor GOS outcomes and mortality in TBI cases. Keywords: Transcranial Doppler, Glasgow Outcome Score, Traumatic Brain Injury ABSTRAK Cedera otak traumatik (COT) melalui cedera otak primer dan sekunder menyebabkan proses iskemik, hipoksik, edema serebral, kenaikan tekanan intrakranial, yang berkaitan dengan kerusakan fisiologis, emosional dan disabilitas. Transcranial Doppler (TCD) sebagai alat penunjang diagnostik dapat memantau kenaikan tekanan intrakranial melalui hipoperfusi dan juga memantau vasospasme. Studi meta-analisis ini bertujuan untuk menentukan TCD sebagai alat penunjang diagnostik dalam memprediksi luaran pada kasus COT. Studi observasional pemantauan TCD pada kasus COT diambil untuk dilakukan meta-analisis. Luaran klinis dinilai berdasarkan Glasgow Outcome Score (GOS), Glasgow Outcome Score-Extended (GOS-E), dan mortalitas. Luaran sekunder berupa nilai cut-off Pulsatility Index (PI) dan Lindegaard Ratio (LR) yang berhubungan dengan GOS, GOSE dan mortalitas. Nilai abnormal pada TCD akan memiliki kemungkinan >11 kali luaran GOS buruk (OR 11.51, 95% CI 7.75 to 17.10). TCD abnormal memiliki kemungkinan >11 kali menyebabkan kematian dibandingkan TCD normal (OR 11.05, 95% CI 5.99 to 20.40). Hipoperfusi pada TCD memiliki kemungkinan >6 kali berkaitan dengan GOS buruk (OR 6.33, 95% CI 0.28 to 144.48) dan memiliki kemungkinan >22 kali menyebabkan kematian dibandingkan vasospasme pada TCD (OR 22.86, 95% CI 0.70 to 751.27). Analisis kurva ROC memperlihatkan nilai cut-off PI 1.03 dan LR 3.3 berkaitan dengan GOS yang buruk. TCD dapat digunakan sebagai alat diagnostik untuk memprediksi luaran GOS buruk dan mortalitas pada kasus COT. Kata Kunci: Transcranial Doppler, Glasgow Outcome Score, Cedera Otak Traumatik