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Utami , Hernastiti Sedya
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Analisis Perbedaan Informasi Anatomi Mri Lumbal Menggunakan Sekuen T2 Tse Fat Saturation Mode Weak dan Strong Pada Kasus Hernia Nukleus Pulposus Gimnastiar, Fani; Fitriana, Lutfatul; Rahardian, Arga Pratama; Utami , Hernastiti Sedya; Samudra, Alan
Jurnal Ners Vol. 9 No. 3 (2025): JULI 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jn.v9i3.45299

Abstract

Herniasi Nukleus Pulposus (HNP) merupakan salah satu penyebab utama nyeri pinggang yang sering dijumpai pada populasi usia produktif, khususnya antara 30 hingga 50 tahun, dengan puncak kejadian pada usia 40–45 tahun. Kondisi ini terjadi akibat penonjolan nucleus pulposus melalui annulus fibrosus discus intervertebralis, yang dapat menekan saraf dan menimbulkan nyeri. Pemeriksaan MRI menjadi modalitas utama dalam mendiagnosis HNP karena kemampuannya dalam menampilkan jaringan lunak secara detail, terutama dengan teknik fat suppression yang berfungsi untuk menekan sinyal lemak agar visualisasi struktur anatomi menjadi lebih jelas. Penelitian ini bertujuan untuk membandingkan kualitas citra antara sekuen T2 TSE Fat Saturation mode weak dan strong pada MRI lumbal pasien HNP. Menggunakan pendekatan kuantitatif terhadap 10 pasien di RS SMC Telogorejo Semarang, penilaian dilakukan oleh dua dokter spesialis radiologi melalui metode visual grading analysis. Hasil uji Wilcoxon Signed Test menunjukkan bahwa T2 Fat Sat mode strong memberikan kualitas citra yang lebih baik secara signifikan pada struktur discus intervertebralis, medulla spinalis, CSF, spinal cord dengan nilai p < 0,05 yang menunjukan terdapat perbedaan yang signifikan. Sedangkan pada corpus vertebrae, ligamentum flafum dan ligamentum posterior tidak terdapat perbedaan yang signifikan. Dengan mean rank lebih tinggi pada mode strong (17,69) dibandingkan weak (15,50) dan nilai p < 0,001 secara keseluruhan, disimpulkan bahwa sekuen T2 Fat Sat mode strong lebih efektif dalam menghasilkan informasi anatomi yang optimal pada pemeriksaan MRI lumbal kasus Hernia Nukleus Pulposus.
Analysis Pediatric Brain Anatomy and Motion Artifacts Between T2 TSE And T2 TSE Fast Blade Sagittal MRI 3T Rahmayanti LS, Umi; Utami , Hernastiti Sedya; Rahardian, Arga Pratama; Syafi'ie, Mochamad; Oviyanti, Pradana Nur
Eduvest - Journal of Universal Studies Vol. 5 No. 8 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i8.50966

Abstract

Pediatric brain MRI is vulnerable to patients’ movement due to discomfort, resulting in anxiety, and may increase artifact susceptibility. Sedation is used to keep them calm during the MRI examination but it does not affect pulsation and flow artifacts. Fast acquisition technique and motion insensitive are required. Routine protocols of T2 sagittal pediatric brain MRI uses TSE sequences, but artifacts often appear on the image. BLADE fast imaging sequences are used with a pulse of MRI sequences, one of which is TSE with T2W. This research compared the image information of T2 TSE and T2 TSE fast BLADE sequences in pediatric brain MRI. It is a quantitative study with an experimental approach. The sample in this study was all pediatric Brain MRI examinations ≤5 years with the use of T2 TSE and T2 TSE fast BLADE sequences as many as 32 patients. Assessment of MRI image information was performed by 3 observers through visual grading analysis of sagittal brain anatomy image information and motion artifact, the data were analyzed using the Wilcoxon signed Rank Test. The results of the p-value statistical test showed that T2 TSE fast BLADE is significantly superior (p < 0.05) compared to T2 TSE in visualizing the overall anatomy and minimizing artifacts, image sharpness, lesion detection and diagnostic reliability of sagittal pediatric brain MRI. The conclusion T2 TSE fast BLADE sequence can be recommended in pediatric brain MRI examination because BLADE can eliminate all motion artifacts and produce optimal image information.
Co-Authors Fitriana, Lutfatul Gimnastiar, Fani Oviyanti, Pradana Nur Rahardian, Arga Pratama Rahmayanti LS, Umi Samudra, Alan Syafi'ie, Mochamad